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Infatica Residential Proxies Guide

Infatica Residential Proxies: Web Scraping Guide

Infatica is a proxy service provider that offers residential, mobile, and data center proxies to help users conduct tasks such as web scraping, data gathering, and bypassing geo-restrictions. Among residential proxy providers, Infatica stands out for its extensive network, offering reliable and scalable solutions for web scraping at any scale.

In this guide, you'll learn how to set up and integrate Infatica’s residential proxies into your web scraping projects.


TLDR: How to Integrate Infatica Residential Proxy?

To integrate Infatica Residential Proxy into your Python web scraping project:

  • Sign up for a Infatica account and complete the KYC (Know Your Customer) process to get verified.
  • Create a proxy list by defining details like List Name, Authorization Options, Location Preset, Rotation Period, and Proxy Format.
  • Download the generated proxy list.
  • Use the provided code snippet to make requests through the proxy.
import requests

# Load proxies from your text file containing the list of proxies
with open('proxyapilist.txt', 'r') as file:
proxies_list = file.read().splitlines()


for proxy in proxies_list: # iterate through proxy list
host = proxy.split('@')[1]
user_pass = proxy.split('@')[0]
user_name = user_pass.split(':')[0]
pass_word = user_pass.split(':')[1]

proxy_dict = {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}"
}

try:
response = requests.get("http://example.com", proxies=proxy_dict, timeout=10)
print(f"Status Code: {response.status_code}")
print(f"Content: {response.text}")
except Exception as e:
print(f"Failed to connect using {host}: {e}")
  • This script loads a list of proxies from a text file, configures each proxy with its credentials, and sends a GET request to "http://example.com" through each proxy.

  • For each proxy, it prints the HTTP status code and content of the response, which helps in verifying the proxy’s functionality and the ability to access the web content.


Understanding Residential Proxies

Residential proxies are IP addresses assigned to real residential devices, such as computers and smartphones, by Internet Service Providers (ISPs).

When using a residential proxy, your request is first routed through the proxy server, which then forwards it to the target website. The website sees the request coming from the proxy's IP address, which belongs to a residential user, not a data center.

The response is then sent back through the proxy server to your device. This process masks your original IP address and location, providing an additional layer of anonymity.

Types of Residential Proxies

There are two main types of residential proxies: Rotating and Static.

1. Rotating Residential Proxies

Rotating residential proxies automatically switch between different IP addresses at set intervals or with each new connection request. This automatic rotation enhances anonymity and reduces the risk of getting blocked by target websites.

Pros:

  • Suitable for a wide range of tasks requiring medium-term consistency.
  • IPs come from real residential devices, providing high authenticity.
  • Access to millions of IPs across various countries.
  • More affordable than static proxies.

Cons:

  • Potential for higher latency due to the need to frequently establish new connections.
  • Increased risk of encountering IPs that may be flagged or blacklisted, despite their residential nature.
  • May lead to inconsistent session data since IPs change frequently, which can be problematic for tasks requiring session continuity.

2. Static Residential Proxies

Static residential proxies, provided by ISPs, offer a fixed IP address that remains constant over time, unlike rotating proxies.

This stability makes them ideal for tasks that require a consistent online identity, such as managing multiple social media accounts, conducting long-term market research, and maintaining continuous sessions on e-commerce sites. With a dedicated IP, static proxies ensure the highest level of reliability and continuity

Pros:

  • Ideal for long-term projects requiring stable identity.
  • More reliable for consistent access to geo-restricted content.
  • Better for maintaining persistent logins or accounts.

Cons:

  • Expensive due to the cost of obtaining and maintaining ISP-provided IPs.
  • Limited availability due to the nature of dedicated IPs.

Residential vs. Data Center Proxies

Understanding the differences between residential proxies and data center proxies is important for selecting the right one for your web scraping needs.

Each type of proxy offers unique advantages and drawbacks that cater to different requirements.

Here's a comparison to help you make an informed decision:

FeatureResidential ProxiesData Center Proxies
SourceReal residential devices (computers, smartphones)Data centers (servers)
IP AuthenticityHigh (appears as legitimate users)Lower (appears as servers)
AnonymityHighMedium
Risk of IP BansLowHigher
SpeedGenerally slowerGenerally faster
CostMore expensiveLess expensive
IP RotationAvailable (rotating proxies)Available
StabilityCan be less stable (rotating IPs)Generally more stable
Best Used ForScraping protected or geo-restricted content, ad verificationLarge-scale scraping, tasks requiring high speed
AvailabilityDependent on ISP partnershipsMore widely available

Use Cases

Residential proxies are highly valuable in various scenarios due to their ability to mimic legitimate user traffic and avoid detection.

Here are some key use cases:

Web Scraping and Data Collection

They allow scrapers to extract data from websites without being blocked, even from sites with geo-restrictions or robust anti-scraping measures.

By routing requests through a large set of real IP addresses, these proxies mimic legitimate user traffic, reducing the risk of being blocked or detected by anti-scraping measures.

SEO and SERP Analysis

For SEO professionals, residential proxies enable accurate analysis of search engine results pages (SERPs). Search engines provide different results based on the user's location.

Using residential proxies, you can view the SERPs as they appear to users in different regions, helping you develop more effective SEO strategies. The large pool of residential IPs ensures that your requests are not flagged or blocked by search engines.

Social Media Monitoring

When monitoring social media platforms for brand mentions, trends, or competitor activity, residential proxies help you avoid detection and IP bans.

By routing your monitoring requests through a variety of residential IPs, you can obtain comprehensive and unbiased data without risking account suspensions. This is essential for maintaining continuous access to social media data.

Ad Verification

Residential proxies are used to ensure that online ads are displayed correctly, in the intended locations, and reach the desired audience.

By using IP addresses from real residential devices, you can verify that ads are served accurately across different regions and devices. This helps maintain the integrity of ad campaigns and ensures they achieve their targeted reach.

Geo-Restricted Content Access

Residential proxies are beneficial for accessing content that is restricted based on geographic location. Whether it's streaming services, localized websites, or region-specific news, these proxies allow you to bypass geo-restrictions.

By routing your requests through residential IPs from the desired location, you can access content as if you were physically present in that region.


Why Use Infatica Residential Proxies?

Infatica residential proxies offer a compelling solution for businesses and individuals seeking reliable, secure, and versatile proxy services. With a robust network and a strong ethical foundation, Infatica distinguishes itself in the competitive proxy market.

Here's a closer look at why Infatica's residential proxies might be the right choice for your web scraping and data collection needs:

High Uptime and Performance

  • 99.9% Uptime : Infatica guarantees almost uninterrupted service, making it ideal for tasks requiring continuous online presence.

  • Maximum Performance : Their residential proxies are designed for high-speed connections, ensuring that your data scraping tasks are executed quickly and efficiently.

Global Access with Geo-Targeting

  • Millions of IPs Worldwide : Infatica provides access to over 15 million IP addresses from devices in major cities across the Americas, Europe, and Asia. This extensive network allows for precise geo-targeting, essential for location-based data collection.

  • Top Residential Proxy Locations:

    • Brazil: 1,123,823 IPs
    • China: 670,301 IPs
    • Turkey: 374,577 IPs
    • United States: 226,090 IPs
  • Country/City/ISP-level Targeting: You can also fine-tune your data collection by targeting specific locations down to the city and ISP level.

Bypassing Anti-Scraping Measures

  • Avoiding CAPTCHAs and IP Bans: Using real IPs from real users worldwide, Infatica helps you bypass common anti-scraping defenses like CAPTCHAs and IP bans, ensuring uninterrupted access to your target websites.

Scalability and Flexibility

  • Scalable Solutions: Infatica’s residential proxies are highly scalable, making them suitable for both small projects and large-scale data collection tasks.
  • Flexible Pricing Plans: Infatica offers various residential proxy plans with different parameters, such as available traffic and IP address count, or you can customize a plan to meet your specific needs.

Ethical and Reliable Network

  • Ethical Proxy Acquisition: Infatica is committed to an ethical approach in acquiring proxies, ensuring all participants in their network are aware and fairly compensated. This not only enhances the reliability of their service but also provides peace of mind that your proxy usage is legally compliant.

Infatica Residential Proxy Pricing

Infatica offers flexible pricing plans tailored to meet various usage needs, making their services accessible to a wide range of customers.

The pricing is primarily based on the bandwidth used rather than the number of IP addresses or concurrency. This structure allows users to pay for the exact amount of data they consume, making it a cost-effective solution for both small-scale and large-scale projects.

Billing Options

Infatica provides two main billing options: monthly and yearly plans. Each plan offers different pricing per gigabyte (GB) of bandwidth, with larger packages offering more cost-effective rates.

Monthly Billing Plan

BandwidthPrice/UnitPackage PriceCustomer Support
Pay As You Go$8 / GBN/AStandard Support
14 GB$6.85 / GB$96Standard Support
60 GB$6 / GB$360Standard Support
140 GB$5 / GB$700Standard Support
600 GB$4 / GB$2,400Standard Support
1,200 GB$2.91 / GB$3,500Standard Support
CustomizedUpon requestUpon requestUnlimited proxylists, 24/7 priority support

Yearly Billing Plan

BandwidthPrice/UnitPackage PriceCustomer Support
Pay As You Go$8 / GBN/AStandard Support
168 GB$5.48 / GB$922Standard Support
720 GB$4.8 / GB$3,456Standard Support
1,680 GB$4 / GB$6,720Standard Support
7,200 GB$3.2 / GB$23,040Standard Support
14,400 GB$2.32 / GB$33,600Standard Support
CustomizedUpon requestUpon requestUnlimited proxylists, 24/7 priority support

Additional Features

3-Day Trial: Available for any plan at $1.99, providing users with a low-cost way to test the service.

Custom Plans: For large-scale operations, Infatica offers customized pricing and bandwidth options, complete with unlimited proxylists and 24/7 priority support.

With a variety of packages to choose from, Infatica makes it easy for businesses of all sizes to find a proxy solution that fits their needs, whether they require a small amount of bandwidth or a large-scale operation.

Comparison to Other Providers

Generally speaking, when proxy providers offer plans around $2-3 per GB, they are considered cheap. If they offer smaller plans in the $6-8 per GB range, they are more expensive.

Infatica's pricing tends to be on the higher end of the spectrum compared to other residential proxy providers. With their smallest plan starting at $8 per GB with the pay-as-you-go pricing model, they fall into the more expensive category.

Infatica's pricing reflects their reputation for quality and reliability, but budget-conscious users might find more affordable options elsewhere.

For a comprehensive comparison of residential proxy providers, including pricing and features, you can refer to the ScrapeOps Proxy Comparison page.

This resource allows you to compare various providers side-by-side, helping you find the best fit for your specific needs and budget.


Setting Up Infatica Residential Proxies

Setting up Infatica residential proxies is a straightforward process that involves creating an account, purchasing proxies, configuring them, setting up authentication, and integrating them into your web scraping scripts.

Creating an Infatica Account

To get started with Infatica, follow these steps to create an account and set up your residential proxies:

  • Visit the Infatica website and sign up using either your Email, Facebook or Twitter account.

  • Once you have created your account and verified your email address, login to your account and click on the "Residential" proxy card.

Infatica Dashboard

  • You will be prompted to select a payment method. Infatica offers various payment options, including PayPal, credit card, cryptocurrency, Infatica balance, and bank transfer. Choose the method that best suits you.

  • After selecting your payment method, choose your traffic package.

Traffic Package

  • You’ll then be redirected to the verification page, where you’ll need to complete a quick KYC verification. This typically involves taking photos of your valid identification (usually government-issued documents/IDs) and a selfie. To begin, scan the QR code with your phone and follow the instructions to get verified.

Verification QR

  • To test the Residential Proxy service, you can purchase a three-day trial for only $1.99, which includes 100 MB of traffic. This trial is available for Credit Card and PayPal payments only. If you’re ready to commit, you can also purchase a plan immediately by clicking the "Buy now" button.

  • After selecting your preferred plan, you’ll be redirected to the Billing section. Here, click the “Proceed To Checkout” button to finalize your purchase.

Checkout

Creating and Configuring Proxies

In this section, you’ll create and configure the residential proxy you purchased earlier. This includes setting up your proxy list, choosing the appropriate authorization method, selecting the desired location presets, and defining proxy rotation settings.

Accessing Your Proxy Plan:

  • Navigate to the "My Services" section on your dashboard and click on your active Residential Proxy Plan. You will be redirected to the proxy list generation page.

Services

Creating a Proxy List:

Next, let's look at the fields you'll use to generate a new proxy list:

  • Name Of The List:

    By default, your proxy list is named "List-World Mix," but you can rename it to something more descriptive for easier identification.

Name of List

  • Authorization Options :

    You have two options for authorization:

    1. Login/Password : If selected, the fields for the login and password associated with your proxy list will be displayed.

    Autorization Login Pass

    1. IP Whitelist : If you choose this option, you will need to enter IP addresses, subnets, or multiple IP addresses separated by commas.

    Autorization White IP

  • Location Preset:

    Choose a location preset for your proxies. Options include World Mix, Europe, Asia, North America, Latin America and the Caribbean, Africa, Oceania, or a Custom location.

    Location Preset

    If you select Custom, you can further specify the Region, Country, City, and ISP.

    Custom Location

  • Rotation Period:

    Here, you can determine how frequently your proxies should rotate. Options include rotation every 5 to 60 minutes, rotation with each request, or sticky proxies. If a proxy becomes unavailable, it may rotate sooner than the specified time.

    Rotation Period

  • Proxy Format/Protocols : Here, you can choose from different proxy formats:

    login:password@host:port

    host,port,login,password

    host:port:login:password

    Additionally, you can select between HTTP or SOCKS5 protocols:

    http://login:password@host:port

    socks5://login:password@host:port

    Proxy Format

Generating the Proxy List:

After configuring all the settings, click the "Generate" button.

Generate Proxy

Your newly created proxy list will be displayed on the dashboard, where it will be ready for download and use.

Proxy List

Proxy Integration

Once your proxies are configured and authenticated, you can now use the necessary credentials and proxy server information to integrate them into your web scraping scripts.

Here are the details you’ll need to integrate:

  • Host: Typically pool.infatica.io
  • Port: A range starting from 10000
  • Username
  • Password

For example, if you are using Python with the requests library, you can configure and use the proxies as follows:


import requests

# Load proxies from your text file containing the list of proxies
with open('proxyapilist.txt', 'r') as file:
proxies_list = file.read().splitlines()

# Test first 10 proxies by querying https://ip-api.com/
for proxy in proxies_list[:10]:
host = proxy.split('@')[1]
user_pass = proxy.split('@')[0]
user_name = user_pass.split(':')[0]
pass_word = user_pass.split(':')[1]

proxy_dict = {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}"
}

try:
response = requests.get("http://ip-api.com/json", proxies=proxy_dict, timeout=10)
data = response.json()
print(f"Proxy: {host}, Country: {data['country']}, IP: {data['query']}")
except Exception as e:
print(f"Failed to connect using {host}: {e}")


In the code above:

  • The script reads the proxy credentials from a text file where each line represents a proxy in the format login:password@host:port.

  • The first 10 proxies are used to construct the proxy_dict, which is then passed to the requests library.

  • The script attempts to connect to the https://ip-api.com/ API to retrieve the IP address and country of each proxy, helping you verify that the proxies are functioning correctly.

This approach allows you to quickly validate your proxies before using them in your web scraping tasks.

The screenshot below shows the results after running the script above:

Country Pool


Authentication

There are 2 basic methods of authenticating a request using Infatica residential proxies:

  1. Username & Password and
  2. IP Whitelisting.

Both methods allow you to control and manage who can use your proxies effectively.

Let’s look at each option and provide practical examples to implement them in your web scraping projects.

Method 1: Username & Password Authentication

This method involves using a unique username and password provided by your Infatica to authenticate your requests. When you select this method, you'll be given option to choose between any of the proxy formats below:

login:password@host:port

host,port,login,password

host:port:login:password

http://login:password@host:port

socks5://login:password@host:port

To authenticate requests using this method, ensure you have your credentials saved in a list and properly formatted according to the chosen proxy format. Here’s how you can implement it:

    
import requests

# Define the proxy server and credentials

host = "pool.infatica.io:10000" # Extracted from the list based on the chosen proxy format
username = "YOUR_USERNAME" # Extracted from the list based on the chosen proxy format
password = "YOUR_PASSWORD" # Extracted from the list based on the chosen proxy format

# Configure the proxies dictionary
proxies = {
"http": f"http://{username}:{password}@{host}",
"https": f"http://{username}:{password}@{host}"
}

# Example request to test the proxy
url = "https://ip-api.com/json"
response = requests.get(url, proxies=proxies, timeout=10)
data = response.json()

print(f"IP Address: {data['query']}, Country: {data['country']}")

Method 2: IP Whitelisting Authentication

IP whitelisting allows specific IP addresses to access the proxy network without needing a username or password, which is particularly useful for static IPs or specific servers.

To use this method, specify the IP addresses, subnets, or multiple IPs when setting up your proxy list. Once whitelisted, these IPs act as your authentication, eliminating the need for additional credentials. You can then directly access the proxies configured for different countries.

Here's how to set up and use these proxies in a Python script:

import requests

# sample list of proxies
proxies_list = [
"pool.infatica.io:10000",
"pool.infatica.io:10001",
"pool.infatica.io:10002",
"pool.infatica.io:10003",
"pool.infatica.io:10004",
"pool.infatica.io:10005",
"pool.infatica.io:10006"
]

# Test the proxies by making a request
for proxy in proxies_list:
proxy_dict = {
"http": f"http://{proxy}",
"https": f"http://{proxy}"
}

try:
response = requests.get("http://ip-api.com/json", proxies=proxy_dict, timeout=10)
data = response.json()
print(f"Proxy: {proxy}, Country: {data['country']}, IP: {data['query']}")
except Exception as e:
print(f"Failed to connect using {proxy}: {e}")


Basic Request Using Infatica Residential Proxies

To use Infatica residential proxies for making requests, you should first create a proxy list as described in the previous section of this article.

Steps to Make Requests

  • Install Requests Library: Ensure you have the requests library installed in your Python environment.
  • Set Up Proxy Details: Use the credentials provided by Infatica to configure your proxy.
  • Make the Request: Use the requests library to send a request through the proxy.

Code Example

Here’s an example of how to use Infatica residential proxies with the requests library in Python:


import requests
from bs4 import BeautifulSoup

# Load proxies from your text file containing the list of proxies
with open('proxyapilist.txt', 'r') as file:
proxies_list = file.read().splitlines()

# Select the first proxy from the list
proxy = proxies_list[0]

# Extract the host, username, and password from the proxy string
host = proxy.split('@')[1]
user_pass = proxy.split('@')[0]
user_name = user_pass.split(':')[0]
pass_word = user_pass.split(':')[1]

# Target URL to scrape
url = "http://books.toscrape.com/"

# Configure the proxies dictionary
proxy_dict = {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}"
}

# Try to send a request using the proxy and scrape the website
try:
response = requests.get(url, proxies=proxy_dict, timeout=10)
soup = BeautifulSoup(response.content, 'html.parser')

# Find and print all links on the page
links = soup.find_all('a')
for link in links:
print(link.get('href'))

# Handle exceptions if the connection fails
except Exception as e:
print(f"Failed to connect using {host}: {e}")

The results from this code show that we successfully routed our requests through residential proxies to scrape the required data. This is shown in the screenshot below:

Basic Request to Book To Scrape


Country Geotargeting

Infatica provides residential proxies with over 15 million IPs around the world, allowing users to target specific regions and offering extensive global coverage.

Country-level geotargeting enables users to access region-specific content, ensuring that the data collected is relevant to the desired geographic location.

This can be crucial for market research, price comparison, and accessing localized content that may not be accessible outside of that country.

Top 10 Countries Supported by Infatica Residential Proxies

Infatica offers a vast network of residential proxies across the globe. While their service covers numerous countries, some regions have a particularly strong presence in terms of proxy availability and performance.

Below are the top 10 countries where Infatica's residential proxies are most prominently supported, based on factors such as proxy pool size, connection stability, and overall reliability:

CountryNumber of Proxies
Brazil1,123,823
Russia792,251
China670,301
Vietnam579,580
Turkey374,577
Ukraine367,600
Indonesia367,978
Poland305,109
India274,277
Germany116,173

To use country-specific proxies, select "Custom" under "Location Preset" when creating your proxy list. Choose your desired target country and click "Generate."

Below is a screenshot illustrating how to set Infatica's residential proxies to target Brazil.

Country Geo Targeting Brazil

Let's run our script using the proxy list downloaded with these settings.


import requests

# Load proxies from your text file containing the list of proxies
with open('proxy_brazil.txt', 'r') as file:
proxies_list = file.read().splitlines()

# Test each proxy by querying https://ip-api.com/
for proxy in proxies_list[:10]:
host = proxy.split('@')[1]
user_pass = proxy.split('@')[0]
user_name = user_pass.split(':')[0]
pass_word = user_pass.split(':')[1]

proxy_dict = {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}"
}

try:
response = requests.get("http://ip-api.com/json", proxies=proxy_dict, timeout=10)
data = response.json()
print(f"Proxy: {host}, Country: {data['country']}, IP: {data['query']}")
except Exception as e:
print(f"Failed to connect using {host}: {e}")

In this code sample:

  • We imported the necessary libraries (requests and BeautifulSoup)
  • Defined the proxy details including host, port, username, and password for Infatica.
  • Set up both HTTP and HTTPS proxy settings
  • Sent a request to httpbin.org/ip through the proxy
  • Extracted the returned IP address and country from the response using the ipinfo.io

The results can be verified from the output showing the IP address and the country.

Country Geo Targeting Brazil


City Geotargeting

Infatica also allows users to use proxies from different cities, offering extensive city-level geotargeting options. This capability is advantageous for users needing precise location targeting for their data scraping activities.

City geotargeting is especially useful for localized market research, competitive analysis, and accessing city-specific services or information that may not be available through broader regional proxies.

To specify city-level targeting using Infatica's residential proxy, select "Custom" under "Location Preset" when creating your proxy list. Choose your desired target country, Select the State and City and click "Generate.".

The screenshot below demonstrates how to configure Infatica's residential proxies to target Brazil, with Acre as the state and Brasileia as the city.

City Level Geotargeting

Here's how you can target a specific city using python:


import requests
import time

# Load proxies from your text file containing the list of proxies
with open('proxy_brazil_city.txt', 'r') as file:
proxies_list = file.read().splitlines()

# Test each proxy by querying https://ip-api.com/
for proxy in proxies_list[:5]:
host = proxy.split('@')[1]
user_pass = proxy.split('@')[0]
user_name = user_pass.split(':')[0]
pass_word = user_pass.split(':')[1]

proxy_dict = {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}"
}

try:
response = requests.get("http://ip-api.com/json", proxies=proxy_dict, timeout=10)
data = response.json()

# Extract IP address, country, and city
ip_address = data.get('query', 'N/A')
country = data.get('country', 'N/A')
city = data.get('city', 'N/A')

print(f"Proxy: {host}, IP: {ip_address}, Country: {country}, City: {city}")
time.sleep(2)
except Exception as e:
print(f"Failed to connect using {host}: {e}")


In the code above, we:

  • Configured the proxy connection using Infatica’s residential proxies by loading the proxy details from our list.
  • Used the proxy to send a request to http://ip-api.com/json to obtain location details associated with the IP address.
  • Extracted the IP address, country, and city from the response.
  • Print the extracted IP address, country, and city for each proxy tested.

Below is a sample output from running this script:

City Level Geotargeting Results


How To Use Static Proxies

To use Infatica's static proxies, also known as ISP proxies, navigate to your dashboard and click on "ISP Proxy".

ISD Dashboard

To purchase ISP proxies, select the desired country and the number of IPs from the drop-down list (moving the slider will increase/decrease the number of IPs you need). Then click "Next Step".

ISP Selection

You will be redirected to the Shopping Cart page. Click the “Checkout” button to proceed with the purchase, then finalize the payment by clicking "Checkout" and paying.

ISP Checkout

From the menu on the left, select “My Services” to be redirected to the list of your Infatica services. To view your ISP proxies, select them from the list and click on it.

On the “Product Details” overview page, you can see your list of static IPs and also download them as a text file.

Static Proxy Dashboard

Making Requests Using Static Residential Proxies

To make requests using static proxies, first download the text file containing your proxy list. You can use the following Python script to select proxies from the list and make requests.

This script assumes that each line in the .txt file contains a proxy.

import requests

def parse_proxy(proxy_str):
"""Parse proxy string to format 'http://username:password@IP:PORT'."""
parts = proxy_str.split(':')
if len(parts) == 4:
ip, port, username, password = parts
return f'http://{username}:{password}@{ip}:{port}'
else:
raise ValueError("Invalid proxy format")

def make_request_with_proxy(proxy_str):
"""Make a request using the proxy and print the IP address and country."""
proxy_url = parse_proxy(proxy_str)
proxies = {
"http": proxy_url,
"https": proxy_url
}

try:
response = requests.get("http://ip-api.com/json", proxies=proxies, timeout=10)
response.raise_for_status() # Check for HTTP errors
data = response.json()
ip = data.get("query", "N/A")
country = data.get("country", "N/A")
print(f"Proxy: {proxy_str} - IP: {ip}, Country: {country}")
except requests.RequestException as e:
print(f"Error with proxy {proxy_str}: {e}")

def main():
"""Read proxies from a file and make requests."""
filename = 'list.txt' # Update this with your actual file name
with open(filename, 'r') as file:
proxies = file.readlines()

for proxy in proxies:
proxy = proxy.strip()
if proxy:
for _ in range(5):
make_request_with_proxy(proxy)

if __name__ == "__main__":
main()

In the code above:

  • The parse_proxy(proxy_str) function: Parses a proxy string formatted as IP:PORT:USERNAME:PASSWORD into a URL format http://username:password@IP:PORT.
  • The make_request_with_proxy(proxy_str) function: Converts the proxy string into the appropriate URL format and makes a request to http://ip-api.com/json to retrieve and print the IP address and country associated with the proxy.
  • The main() function: Reads proxies from a file, iterates through each proxy, and calls make_request_with_proxy(proxy_str) five times to test and print details for each proxy.

By the time you run the script, you should get a similar result as shown in the screenshot below:

Note that the IP address remains the same, as expected from static proxies.

Static Proxy Result


Error Codes

When using Infatica residential proxies,you may come accross some HTTP error codes that indicate a problem with the proxy connection. It's essential to understand the error codes, what causes them, and how to fix these errors.

Here is a concise summary of the common errors, their meanings, and ways to avoid them.

400 Bad Request

Meaning: The server cannot process the request due to invalid syntax.
Cause: This could be due to non-HTTP traffic, mismatched protocols, mutual authentication errors, or malformed headers.
Solution:

  • Ensure the request syntax is correct.
  • Verify that the protocols match and are compatible.
  • Check for any malformed headers and correct them.

407 Proxy Authentication Required

Meaning: The client must first authenticate itself with the proxy.
Cause: Incorrect or missing proxy authentication credentials.
Solution:

  • Provide valid proxy authentication credentials.
  • Ensure that proxy settings are correctly configured.

429 Too Many Requests

Meaning: The user has sent too many requests in a given amount of time ("rate limiting").
Cause: Exceeding the allowed request rate.
Solution:

  • Implement request throttling to stay within rate limits.
  • Use a proxy pool to distribute requests across multiple IPs, reducing the frequency per IP.

520 Web Server Returned an Unknown Error

Meaning: The server is returning an unknown error, possibly due to issues on the server side or network problems.
Cause: Network issues or misconfigured server settings.
Solution:

  • Retry the request after some time.
  • Use monitoring tools to track server performance and identify underlying issues.

420 (Enhance Your Calm)

Meaning: Access to the resource has been temporarily limited.
Cause: Similar to a 429 error, it indicates that rate limits have been exceeded.
Solution:

  • Reduce the request rate.
  • Spread out requests over time or use different IP addresses to avoid hitting rate limits.

444 No Response

Meaning: The server has closed the connection without sending any response.
Cause: Often due to server overload or intentional blocking of specific IP addresses.
Solution:

  • Rotate IP addresses to avoid blocks.
  • Use high-quality residential proxies to reduce the likelihood of being flagged.

Understanding these error codes and their resolutions can help maintain smooth and efficient scraping operations while using Infatica’s residential proxies.

For more details on proxy errors and solutions, you can visit the Infatica FAQ on proxy errors here.


KYC (Know-Your-Customer) Verification

Infatica requires Know-Your-Customer (KYC) validation before allowing users to start using their proxies. This process is essential for maintaining the security and legitimacy of Infatica's proxy network, ensuring that it is only used for legitimate business activities.

  • Identity Verification: Users must verify their identity by providing a government-issued ID, such as a passport, driving license, ID card, or residence permit.
  • Selfie Requirement: Users are also required to take a selfie for additional verification.
  • Vetting Process: Infatica’s compliance team reviews the submitted documents and may request additional details if any discrepancies are found. If the provided data does not comply with Infatica’s safety protocols, the service may be refused.

Infatica’s KYC process helps prevent the use of proxies for illegitimate purposes such as fraud, money laundering, and other financial crimes. By enforcing these measures, Infatica ensures that its proxy services are used responsibly and ethically.

For more details, you can refer to their KYC Policy.


Implementing Infatica Residential Proxies in Web Scraping

Infatica residential proxies can be integrated with various libraries for web scraping.

Below, we will explore how to use these proxies with different tools, using US geotargeting and rotating proxies as examples.

Python Requests

Integration with Python Requests is pretty straightforward. Here's how to set it up:

import requests
import random

# Load proxies from your text file containing the list of (US) proxies
with open('us_proxy_list.txt', 'r') as file:
proxies_list = file.read().splitlines()

# Function to parse proxy string and create a proxy dictionary
def create_proxy_dict(proxy_str):
user_pass, host = proxy_str.split('@')
user_name, pass_word = user_pass.split(':')
return {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}"
}

# Make requests using random proxies
for _ in range(10): # Make 10 requests
# Randomly select a proxy
proxy_str = random.choice(proxies_list)
proxy_dict = create_proxy_dict(proxy_str)

try:
# Make a request to Books to Scrape
response = requests.get("http://books.toscrape.com", proxies=proxy_dict, timeout=10)
status_code = response.status_code

# Make a request to ip-api to check the origin country of the request
ip_response = requests.get("http://ip-api.com/json", proxies=proxy_dict, timeout=10)
ip_data = ip_response.json()

# Print status code and country
print(f"Status Code: {status_code}, Country: {ip_data['country']}, IP: {ip_data['query']}")

except Exception as e:
print(f"Failed to connect using {proxy_str}: {e}")

In the script above:

  • The proxies are loaded from a text file named us_proxy_list.txt.
  • The random.choice() function selects a random proxy from the list for each request.
  • The proxy details are split into username, password, and host to construct the proxy dictionary.
  • A request is made to the Book to Scrape website using the selected proxy, and the status code is printed.
  • The script also makes a request to http://ip-api.com/json to print the country from which the request originated.

Once this is executed, you should see results similar to the screenshot below.

Implementing Python requests Results

Python Selenium

SeleniumWire has always been the go to method for authenticated proxies with Selenium. The reason for this is simple: vanilla Selenium does not support authenticated proxies. Even worse, SeleniumWire has been deprecated! It is still technically possible to use Infatica Residential Proxies via SeleniumWire, but we highly advise against it.

When you decide to use SeleniumWire, you are vulnerable to the following risks:

  • Security: Browsers are updated with security patches regularly. Without these patches, your browser will have holes in the security that have been fixed in other browsers such as Chromedriver or Geckodriver.

  • Dependency Issues: SeleniumWire is no longer maintained. In time, it may not be able to keep up with its dependencies as they get updated. Broken dependencies can be a source of unending headache for anyone in software development.

  • Compatibility: As the web itself gets updated, SeleniumWire doesn't. Regular browsers are updated all the time. Since SeleniumWire no longer receives updates, you may experience broken functionality and unexpected behavior.

As time goes on, the probability of all these problems increases. If you understand the risks but still wish to use SeleniumWire, you can view a guide on that here.

RUN AT YOUR OWN RISK

from seleniumwire import webdriver

user_name = "your-username"
pass_word = "your-password"
host = "pool.infatica.io:10000"

## Define Your Proxy Endpoints
proxy_options = {
"proxy": {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}",
"no_proxy": "localhost:127.0.0.1"
}
}

## Set Up Selenium Chrome driver
driver = webdriver.Chrome(seleniumwire_options=proxy_options)

## Send Request Using Proxy
driver.get('https://httpbin.org/ip')
  • We setup our url the same way we did with Python Requests: f"http://{user_name}:{pass_word}@{host}".
  • We assign this url to both the http and https protocols of our proxy settings.
  • driver = webdriver.Chrome(seleniumwire_options=proxy_options) tells webdriver to open Chrome with our custom seleniumwire_options.

Python Scrapy

Scrapy is an open-source Python framework designed for web crawling and scraping. It allows users to extract structured data from websites efficiently.

Known for its speed and extensibility, Scrapy is widely used for tasks such as data mining, monitoring, and automated testing. Let's see how we can integrate Infatica's residential proxy with scrapy.

  • First, let's create a new Scrapy project. Open your terminal and run the following command:
scrapy startproject <project_name>

This command will create a new folder with your project name, containing the basic Scrapy project structure.

  • Now, let's create a Scrapy spider that uses the Infatica proxy. Navigate to your project_name\spiders directory and create a new file with a python extension e.g infatica.py

  • In this file, define a new Scrapy spider by creating a Python class that inherits from scrapy.Spider. Here's an example of how your code might look:


import scrapy
import random
import json

class InfaticaScrapyExampleSpider(scrapy.Spider):
name = "InfaticaScrapyExample"

def start_requests(self):
# Load proxies from file
with open('us_proxy_list.txt', 'r') as f:
proxies = f.readlines()

proxies = [proxy.strip() for proxy in proxies]
selected_proxies = random.sample(proxies, 2) # Randomly pick 2 proxies

# URL to be accessed with different proxies
url = "http://ip-api.com/json"

# Create requests for each selected proxy
for proxy in selected_proxies:
request = scrapy.Request(url=url, callback=self.parse, meta={'proxy': f"http://{proxy}"})
# Ensure each request has a unique URL parameter to prevent duplicate filtering
request.dont_filter = True
yield request

def parse(self, response):
try:
# Decode JSON response
data = response.json()
ip = data.get("query") # IP address is under 'query'
country = data.get("country")
city = data.get("city")
region = data.get("regionName")
isp = data.get("isp")
org = data.get("org")

# Log the details
self.log(f"Proxy Used: {response.meta['proxy']}")
self.log(f"IP Address: {ip}, Country: {country}, City: {city}, Region: {region}, ISP: {isp}, Org: {org}")
self.log(f"Status Code: {response.status}")

except json.JSONDecodeError:
self.log(f"Failed to decode JSON from {response.url}")
self.log(f"Response Text: {response.text[:100]}") # Log a snippet of the response for debugging

  • Open the project_name/settings.py file and set ROBOTSTXT_OBEY to False.

  • In the terminal, navigate to the project directory (the one containing the scrapy.cfg file) and run the following command to start the spider:

scrapy crawl spider_name

(Replace spider_name with the name specified in your spider class. In this case, the name is InfaticaScrapyExample.)

Once executed, you should see results similar to the screenshot below.

Implementing Python Scrapy Results

Let's break down the key parts of this code:

  • We create a basic Scrapy spider class.

    • The spider class inherits from scrapy.Spider and defines the basic structure for scraping.
  • In the start_requests method, we create a request to our target URL.

    • This method is used to initiate requests. We override it to generate requests to our desired URL.
  • We set the proxy in the request's meta parameter. Replace 'USERNAME' and 'PASSWORD' with your actual Infatica credentials.

    • We specify the proxy settings by adding them to the meta parameter of the request. Replace 'USERNAME' and 'PASSWORD' with your Infatica proxy credentials.
  • The parse method is a simple example that just prints the response body. You'll want to replace this with your actual parsing logic.

    • The parse method is where you define how to process the response from the target URL. In

NodeJs Puppeteer

To integrate Infatica residential proxies with Puppeteer for browser automation, follow these steps:

  • Ensure you have Puppeteer installed. You can do this using the command
npm install puppeteer

  • Set up your Puppeteer configuration to use Infatica proxies.
const puppeteer = require('puppeteer');
const fs = require('fs');

(async () => {
// Read the proxy credentials from the file
const proxyList = fs.readFileSync('us_proxy_list.txt', 'utf-8').trim().split('\n');
const proxy = proxyList[0]; // Assuming you want to use the first proxy in the list

// Extract credentials and proxy address
const [credentials, address] = proxy.split('@');
const [username, password] = credentials.split(':');
const [host, port] = address.split(':');

// Launch Puppeteer with the proxy settings
const browser = await puppeteer.launch({
headless: false,
args: [`--proxy-server=http://${host}:${port}`]
});

const page = await browser.newPage();
await page.authenticate({
username: username,
password: password
});

// Go to the IP Info endpoint
await page.goto('https://ipinfo.io/json');

// Extract the IP, country, and city using page.evaluate()
const result = await page.evaluate(() => {
const data = JSON.parse(document.body.innerText);
return {
ip: data.ip,
country: data.country,
city: data.city,
region: data.region
};
});

console.log('IP:', result.ip);
console.log('Country:', result.country);
console.log('City:', result.city);
console.log('Region:', result.region);

await page.screenshot({ path: 'example.png' });
await browser.close();
})();

  • Save the script to a file, for example, proxy_scrape.js, and run it using Node.js.
node proxy_scrape.js

Let's break down the key parts of this code:

  • The code uses the fs module to read a list of proxy credentials from a file named us_proxy_list.txt. The content is split into individual lines, and the first proxy in the list is selected.

  • The proxy string is split into two parts: credentials and address. The credentials are further split into username and password, while the address is split into host and port.

  • Puppeteer is launched with the --proxy-server argument, which configures the browser to route traffic through the specified proxy server.

  • After launching the browser, the code uses page.authenticate() to pass the username and password for proxy authentication.

  • The script directs the browser to https://ipinfo.io/json, a service that returns information about the user's IP address in JSON format.

  • The code evaluates the page content using page.evaluate() and parses the JSON response to extract the IP address, country, city, and region.

  • The extracted IP address, country, city, and region are printed to the console for verification.

  • The script saves a screenshot of the page as example.png in the project directory.

  • After completing the tasks, the browser is closed to end the session.

Once this code is executed, you should see the results printed in the console, and a screenshot saved to the specified folder.

Implementing NodeJS Puppeteer Results

NodeJs Playwright

To integrate Infatica residential proxies with Playwright for browser automation, follow these steps:

  • Ensure you have Playwright installed. You can do this using the command:
npm install playwright
npx playwright install
  • Set up your Playwright configuration to use Infatica proxies.
const { chromium } = require('playwright');
const fs = require('fs');

(async () => {
// Read the proxy credentials from the file
const proxyList = fs.readFileSync('us_proxy_list.txt', 'utf-8').trim().split('\n');
const proxy = proxyList[0]; // Assuming you want to use the first proxy in the list

// Extract credentials and proxy address
const [credentials, address] = proxy.split('@');
const [username, password] = credentials.split(':');
const [host, port] = address.split(':');

// Launch Playwright with the proxy settings
const browser = await chromium.launch({
headless: false,
proxy: {
server: `http://${host}:${port}`,
username: username,
password: password,
},
});

const page = await browser.newPage();

// Go to the IP Info endpoint
await page.goto('https://ipinfo.io/json');

// Extract the IP, country, and city using page.evaluate()
const result = await page.evaluate(() => {
const data = JSON.parse(document.body.innerText);
return {
ip: data.ip,
country: data.country,
city: data.city,
region: data.region
};
});

console.log('IP:', result.ip);
console.log('Country:', result.country);
console.log('City:', result.city);
console.log('Region:', result.region);

// Save a screenshot of the page
await page.screenshot({ path: 'example.png' });

await browser.close();
})();

  • Save the script to a file, for example, proxy_scrape.js, and run it using Node.js.
node proxy_scrape.js

Let's break down the key parts of this code:

  • The code uses the fs module to read proxy credentials from a file named us_proxy_list.txt. It reads the content, trims any extra spaces, splits it into lines, and selects the first proxy in the list.

  • The proxy string is split into two parts: credentials and address. The credentials are further split into username and password, and the address is split into host and port.

  • Playwright is launched using the chromium browser with the proxy option configured. The server key sets the proxy server using the host and port, while username and password are used for proxy authentication.

  • The script directs the browser to https://ipinfo.io/json, a service that provides details about the user's IP address in JSON format.

  • The code evaluates the page content using page.evaluate() and parses the JSON response to extract the IP address, country, city, and region.

  • The extracted IP address, country, city, and region are printed to the console for verification.

  • The script saves a screenshot of the page as example.png in the project directory.

  • After completing the tasks, the browser is closed to end the session.

Once this code is executed, you should see the results printed in the console, and a screenshot saved to the specified folder.

Implementing NodeJS Playwright Results


Case Study: Scrape Amazon.es Prices with Infatica Proxies

In this section, we'll demonstrate how to scrape product pages on Amazon.es using Infatica's residential proxies to implement geo-location targeting.

We'll show how product prices or availability can change based on the IP address location, specifically comparing results from Spanish and Portuguese IPs.

Creating Proxy Lists

  • We start by creating proxy lists for both France and the UK. To do this, we set "Location Preset" to "Custom," ,select France as the country, and generate the proxy list. Then, switch the country to the UK, generate the proxy list, and download both lists.

Setup

  • Next, we'll set up our environment by importing the required libraries and configuring our script:
import requests
from bs4 import BeautifulSoup

def get_country_from_ip(proxy_dict):
"""Get the country of the given IP address using ip-api.com."""
try:
response = requests.get("http://ip-api.com/json", proxies=proxy_dict, timeout=10)
response.raise_for_status()
data = response.json()
return data['country']
except Exception as e:
print(f"Failed to get country using proxy: {e}")
return 'Unknown'

def get_price_from_url(url, proxy_dict):
"""Fetch the price from the given URL using the proxy."""
try:
response = requests.get(url, proxies=proxy_dict, timeout=10)
response.raise_for_status()
soup = BeautifulSoup(response.content, 'html.parser')
price = soup.find('div', class_='x-price-primary').text.strip()
return price
except Exception as e:
print(f"Failed to connect using proxy: {e}")
return None

def check_price_in_country(proxy_file, url):
"""Check price for the given URL using proxies from the specified file."""
with open(proxy_file, 'r') as file:
proxies_list = file.read().splitlines()


proxy = proxies_list[0] # select first proxy in the list
host = proxy.split('@')[1]
user_pass = proxy.split('@')[0]
user_name = user_pass.split(':')[0]
pass_word = user_pass.split(':')[1]

proxy_dict = {
"http": f"http://{user_name}:{pass_word}@{host}",
"https": f"http://{user_name}:{pass_word}@{host}"
}

country = get_country_from_ip(proxy_dict)
price = get_price_from_url(url, proxy_dict)

if price:
print(f"Price In {country}: {price}")
return # Exit after successful request
else:
print(f"Skipping proxy from {country}...")

# URLs and Proxy files
url = "https://www.ebay.es/itm/315540919663?var=613996490832&_trkparms=amclksrc%3DITM%26aid%3D777008%26algo%3DPERSONAL.TOPIC%26ao%3D1%26asc%3D20230823115209%26meid%3Dbf3be4ff385d4d1d959dbc9a4ae077d2%26pid%3D101800%26rk%3D1%26rkt%3D1%26itm%3D613996490832%26pmt%3D1%26noa%3D1%26pg%3D4375194%26algv%3DRecentlyViewedItemsV2SignedOut%26brand%3DSamsung&_trksid=p4375194.c101800.m5481&_trkparms=parentrq%3A76a382511910a57aa3f942fdffffbc20%7Cpageci%3A66a6f650-5ffc-11ef-a063-5660793b8f92%7Ciid%3A1%7Cvlpname%3Avlp_homepage"
france_proxy_file = 'france.txt'
uk_proxy_file = 'uk.txt'

# Check prices in France and UK
print("Checking price with French proxies...")
check_price_in_country(france_proxy_file, url)

print("\nChecking price with UK proxies...")
check_price_in_country(uk_proxy_file, url)

In the code above:

  • We read a list of proxy credentials from a specified file, i.e france.txt and uk.txt. The content is split into individual lines, and the first proxy in the list is selected.

  • The proxy string is split into two parts: credentials and address. The credentials are further split into username and password, while the address is split into host.

  • A proxy_dict is created using the extracted credentials and address. This dictionary is used to configure the requests library to route traffic through the specified proxy server.

  • The get_country_from_ip function sends a request to ip-api.com using the proxy. The function extracts and returns the country associated with the IP address provided by the proxy.

  • The get_price_from_url function sends a request to the specified eBay URL using the proxy. The HTML content is parsed with BeautifulSoup to find and extract the price of the item.

  • The check_price_in_country function prints the price of the item along with the country of the proxy used.

  • The script runs check_price_in_country twice: once for French proxies and once for UK proxies. It outputs the price information for both regions.

Results and Analysis

When we run this script, we might see output similar to this:

Casestudy Result

Looking at the results from our test, we can observe that the product's price is noticeably higher when accessed from a French IP (USD 279.17) compared to a UK IP (USD 232.64).

  • This difference highlights the variation in pricing based on the user's geographical location, reflecting the dynamic pricing strategies employed by the e-commerce platform.

  • This demonstration underscores the importance of using residential proxies to reveal such regional price differences. By utilizing location-specific IP addresses from France and the UK, businesses and researchers can gain crucial insights into how pricing strategies vary across different markets.

  • This information is invaluable for conducting detailed market research, optimizing pricing models, and understanding competitive dynamics in various regions.


Alternative: ScrapeOps Residential Proxy Aggregator

If you require a powerful and cost-effective solution for web scraping, the ScrapeOps Residential Proxy Aggregator offers a robust alternative to traditional proxy providers.

This service aggregates proxies from multiple providers, giving you access to a vast pool of IP addresses with unparalleled flexibility and reliability.

For detailed documentation on setting up and using the ScrapeOps Residential Proxy Aggregator, visit the ScrapeOps Documentation. This guide provides comprehensive instructions on how to integrate and utilize the proxy service effectively.

Why Use ScrapeOps Residential Proxy Aggregator?

1. Competitive Pricing

ScrapeOps stands out for its cost-effectiveness. Our pricing is generally lower than that of many traditional proxy providers. This means you can achieve more efficient scraping without breaking the bank.

2. Flexible Plans

Unlike many proxy services that offer limited or inflexible plans, ScrapeOps provides a wide range of options, including smaller plans tailored to specific needs. This flexibility allows you to select a plan that best fits your project requirements and budget.

3. Enhanced Reliability

By aggregating proxies from multiple providers, ScrapeOps ensures greater reliability. Instead of relying on a single proxy provider, you gain access to a diverse set of proxies from a single port. This reduces the risk of downtime and connectivity issues, offering a more stable and consistent scraping experience.

Using ScrapeOps Residential Proxy Aggregator with Python Requests

Here's how you can use the ScrapeOps Residential Proxy Aggregator with Python's requests library:


import requests

api_key = 'YOUR_API_KEY'
target_url = 'http://httpbin.org/ip'
proxy_url = f'http://scrapeops:{api_key}@residential-proxy.scrapeops.io:8181'

proxies = {
'http': proxy_url,
'https': proxy_url,
}

response = requests.get(
url=target_url,
proxies=proxies,
timeout=120,
)

print('Body:', response.content)


The code above is some example code to send a URL to the ScrapeOps Proxy port.ScrapeOps will take care of the proxy selection and rotation for you so you just need to send us the URL you want to scrape.

You can check out the free trial with 500MB of free Bandwidth Credits Here. No credit card required.


Infatica places a strong emphasis on ethical practices to ensure that their proxy network operates within the bounds of legality and respect for individual rights. At the core of Infatica’s operations is a strict ethical code designed to protect the privacy and security of all participants in their network.

Infatica's residential and mobile proxies are obtained through their SDK, with all peers in their P2B (peer-to-business) network providing explicit consent to participate. This ensures that no individual’s device is used without their knowledge or agreement.

Ethical Proxy Usage

Infatica is committed to ensuring that their proxies are used ethically and for legitimate purposes. They allow proxy usage for activities such as data gathering for marketing research, website testing, brand protection, and price comparison—activities that align with white-hat practices. Any suspicious or unethical activity detected results in the immediate revocation of access to Infatica’s services.

Privacy and Data Protection

Infatica takes privacy seriously, adhering to GDPR compliance and ensuring that the data of their peers remains protected. The Infatica SDK does not collect personal data beyond the IP addresses required for proxy operations, safeguarding the privacy of all users within their network.

Monitoring and Enforcement

Infatica actively monitors user activity to prevent misuse of their proxies. They investigate abuse reports and collaborate with third parties to identify and block users engaging in malicious activities. This vigilance ensures that their network remains a safe and ethical environment for all participants.

Importance of Ethical Proxy Use

The ethical considerations highlighted by Infatica underscore the importance of responsible proxy use. By following strict ethical guidelines, they help prevent unauthorized use of personal devices and ensure that their services are not exploited for malicious purposes. For users, adhering to these ethical standards not only helps avoid legal consequences but also supports a secure and trustworthy digital environment.

Importance of Scraping Responsibly

Scraping responsibly is crucial for several reasons. Respecting website terms of service ensures that you avoid legal repercussions and maintain access to valuable data sources.

Carefully handling personal data protects individuals' privacy and upholds ethical standards, preventing misuse of sensitive information. Complying with laws like GDPR is essential to avoid hefty fines and legal penalties, especially when dealing with data from EU citizens.

Additionally, responsible scraping practices prevent overloading website servers, maintaining their functionality for all users. Ultimately, ethical scraping helps build trust and preserve the scraper's and their organization's reputation.


Conclusion

Implementing residential proxies in your web scraping projects is crucial for maintaining reliable, efficient, and ethical data collection. By using residential proxies, you can overcome common scraping challenges such as IP bans, geo-restrictions, and anti-bot measures.

This leads to more successful scraping operations, access to a wider range of data, and the ability to scale your projects effectively while maintaining anonymity and complying with ethical standards.

If you'd like to know more about any of the tools or frameworks used in this article, you can find their documentation here:


More Python Web Scraping Guides

Want to take your scraping skills to the next level?

Check out Python Web Scraping Playbook or these additional guides: