ScrapeOps Residential Proxies: Web Scraping Guide

Residential proxies make up the safety net for many rotating proxy providers. What if you could use strictly a residential proxy service?

With a provider like the ScrapeOps Residential Proxy Aggregator, you can!

In today's guide, we'll go through using ScrapeOps Residential Proxies from start to finish.

• TLDR: How to Integrate ScrapeOps Residential Proxy?
• Understanding Residential Proxies
• Why Use Residential Proxies?
• ScrapeOps Residential Proxy Pricing
• Setting Up
• Authentication
• Basic Requests
• Country Geotargeting
• Ciry Geotargeting
• Error Codes
• KYC Process
• Implementing ScrapeOps Residential Proxies
• Case Study: Amazon.es
• Conclusion
• More Cool Articles

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TLDR: How to Integrate ScrapeOps Residential Proxy?​

Using ScrapeOps Residential Proxy Aggregator is really easy.

1. Once you've got an API key, just use simple proxy port integration.
2. In the example below, we setup an http and an https proxy as a dict.
3. Then, we pass that dict into our proxies argument when making our requests.
4. We also need to pass verify=False in order to ignore any SSL errors that might occur from our port integration.

import requests

API_KEY = "your-super-secret-api-key"

proxies = {
  "http": f"http://scrapeops:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops:{API_KEY}@residential-proxy.scrapeops.io:8181"
}
response = requests.get('https://quotes.toscrape.com/', proxies=proxies, verify=False)
print(response.text)

• proxies is a dict containing our proxies.
• When we make our request, we pass in the following arguments along with the url:
  • proxies=proxies tells Requests to use the proxy connection we set up.
  • verify=False tells Requests to ignore any SSL errors why might receive because of our proxy connection.

Understanding Residential Proxies​

Many websites block datacenter IPs by default. Sometimes it's just best practice to use a Residential IP address.

Residential proxies function by assigning a user a real IP address from an actual residential device (such as a home router or mobile device) provided by an Internet Service Provider (ISP).

This allows the user to appear as though they are browsing from a residential location, which makes it harder for websites to detect or block them as proxies.

With our standard proxy aggregator, your usage is measured by successful requests.

• When we use residential proxies our usage is measured in size instead.
• When using proxies, there's also the question of rotating vs static proxies.

Let's look at this stuff a little more in detail.

Types of Residential Proxies​

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

Rotating Residential Proxies​

Rotating residential proxies are a type of residential proxy where the IP address changes or rotates at set intervals or with every new connection request.

This dynamic rotation helps mimic the behavior of different users accessing the internet from various real residential locations, making it difficult for websites to detect patterns or block access.

Pros:

• Enhanced Anonymity: Since each request is routed through a different residential IP, it's much harder for websites to detect patterns and block access.

• Avoidance of IP Bans: Frequent rotation of IP addresses reduces the likelihood of being flagged or blocked by websites with strict anti-bot measures, enabling continuous access.

• Bypass Geo-restrictions: Rotating residential proxies help users access content in multiple locations by frequently switching between IP addresses from different regions.

• Scalability: Ideal for large-scale operations, such as scraping data across multiple sites or regions, since the proxy pool can handle higher volumes of requests without being blocked.

• Better Success Rates: Due to the rotation, the chances of being blocked or detected are significantly lower, resulting in more successful requests and fewer failed attempts.

Cons:

• Inconsistent Performance: Because the IPs are constantly changing, users may experience fluctuations in speed and performance, especially when switching to IPs from regions with slower internet infrastructure.

• Higher Costs: Rotating residential proxies tend to be more expensive than static residential or data center proxies due to the added complexity and the quality of residential IPs.

• Not Ideal for Persistent Sessions: Rotating IPs make it challenging to maintain long-term sessions on websites that require consistent login information, such as social media or e-commerce accounts.

• More Complex Management: Managing rotating proxies requires more sophisticated infrastructure to handle the IP changes seamlessly, especially for tasks that rely on consistent data streams.

Rotating residential proxies are highly beneficial for tasks requiring anonymity and scalability but come with trade-offs in terms of cost and session stability.

Static Residential Proxies​

Static residential proxies are residential IPs that remain constant for the duration of use, unlike rotating residential proxies.

These proxies are tied to a specific location and provide a stable, unchanging IP address that can be used for long-term tasks.

The IP addresses still originate from real residential devices, making them less likely to be detected or blocked by websites.

Pros:

• Consistency: Provides a stable connection without IP changes, making it ideal for tasks requiring long-term sessions.
• Reduced Detection: Since static residential proxies use real residential IPs, they are less likely to be detected or blocked by websites compared to data center proxies.
• Precise Geo-targeting: Allows users to target a specific region with confidence that the IP address will remain constant.
• Improved Session Stability: Better suited for maintaining sessions on websites that require consistent IP addresses for logins.

Cons:

• Limited Anonymity: Static IPs, while residential, can be blocked if they are used for extended periods on the same website, as patterns can emerge.
• Higher Cost: Static residential proxies are typically more expensive than data center proxies due to their exclusivity and stability.
• Limited IP Pool: Users have fewer IPs to choose from compared to rotating residential proxies, which may limit versatility in certain applications.

Static residential proxies offer consistency and stability, making them ideal for long-term tasks, but they can be more expensive and less dynamic than rotating proxies.

Residential vs. Data Center Proxies​

Residential and data center proxies serve similar functions but differ significantly in their sources and applications.

Here's a comparison highlighting the pros and cons of each:

Residential vs. Data Center Proxies: Comparison

Residential proxies are ideal for tasks requiring stealth and geo-targeting, while data center proxies are better suited for high-speed, large-scale operations where cost and speed are critical factors.

Datacenter​

Datacenter proxies originate from **data centers, not ISPs. They use IP addresses provided by hosting services or cloud providers, which can be easily generated in large quantities.

Pros

• Price: Datacenter proxies are cheap. Generally, they are much cheaper than residential and you only pay for successful requests.
• Speed: They also tend to be quite a bit faster than residential.
• Availability: Datacenter proxies usually operate with a much larger pool of IP addresses.

Cons

• Blocking: Many sites block datacenter IPs by default. This makes some sites more difficult to scrape when using a datacenter proxy.
• Less Geotargeting Support: While we often do get the option to choose our location with datacenter proxies, they still don't appear quite as normal as a residential proxy.
• Less Anonymity: Since you're not traced to an individual residential IP address, your proxy location can be traced easily to a datacenter. This doesn't reveal your identity, but it does reveal that the request is not coming from a standard residential location. Your request isn't tied to some random household, it's tied to a company.

Residential​

Residential proxies use real IP addresses assigned by Internet Service Providers (ISPs) to homeowners, making the user appear as if they are browsing from a legitimate residential location.

Pros

• Anonymity: Residential proxies offer a higher degree of anonymity. You're just one of billions of residential IP addresses across the globe.

• Better Access: As mentioned several times previously, there are a number of sites that block datacenter IPs. Websites don't block residential IPs by default. Residential IPs represent their average users.

Cons

• Price: Not only are residential proxies generally more expensive plan-wise, you don't pay per successful request. You pay for bandwidth.

• Speed: Residential proxies can often be slower than their datacenter counterparts. You're not always tied to a state of the art machine with the best connection. You are tied to a real residential device using a residential internet connection.

Use Cases​

Residential proxies are highly beneficial in various scenarios where anonymity, geo-targeting, and undetectability are crucial. Some common use cases include:

• Web Scraping: Residential proxies allow for continuous data collection from websites without getting blocked, as they mimic real users, reducing the chances of detection.
• Ad Verification: Businesses use residential proxies to verify how ads are displayed in different regions and ensure proper placement without fraud or geo-blocking issues.
• Bypassing Geo-restrictions: Users can access content or websites restricted to specific regions by using IP addresses from residential proxies based in those locations.
• Market Research: Companies can gather competitor data from multiple regions and online stores without being flagged or blocked by websites.
• SEO Monitoring: Residential proxies help track search rankings across various locations, ensuring accurate results without triggering CAPTCHA or blocks from search engines.

Why Use ScrapeOps Residential Proxies?​

ScrapeOps Residential Proxy Aggregator gives us a bunch of reasons to use it.

On top of stable, reliable, anonymous IP addresses, we also gain access to geotargeting and sticky sessions.

1. With geotargeting, we get to choose our location.
2. When we use a sticky session, we can keep our IP address in order to maintain a connection throughout a series of requests.

• Geotargeting: Show up in a country of your choosing with a residential address. You look just like a regular user!

• Sticky Sessions: Reuse the same IP address over a series of requests. This allows us to keep an authenticated (logged in) session in tact.

ScrapeOps Residential Proxy Pricing​

ScrapeOps offers a variety of residential plans that we can take advantage of.

• Our lowest price paid plan comes in at $15 per month.
• The highest price paid plan comes with 500GB at $999 per month.

This is a pretty big spread and between these two plans, we have a variety of other reasonable options as well.

You can view a detailed breakdown of our plans below.

Our 3GB plan comes in at $5/GB. The cost per bandwidth only gets cheaper from there.

• On the 50GB plan, you're paying less than $3/GB.
• With our 500GB plan, you're paying less than $2/GB!

Comparison to Other Providers​

ScrapeOps' pricing tends to be on the higher end of the spectrum compared to other residential proxy providers.

With our smallest plan starting at $5 per GB, we fall into the more expensive category.

This higher cost is reflective of premium features, including access to multiple residential and mobile proxy providers through a single port and automatic switching between proxies for consistent performance.

With continuous optimization, users always benefit from the best-performing proxies.

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 ScrapeOps Residential Proxies​

Getting started with our residential service is nice and painless.

1. First, navigate to our Proxy Aggregator page.
2. Then, scroll down until you reach our free trial offers.
3. Select the Residential Proxy Aggregator.
4. Click on the button titled, 500MB Free Bandwidth.

5. Next, you'll arrive at our signup page. We don't ask for much. Enter your name, email and password.
6. Complete the CAPTCHA and click on Create Free Account.

While many other services require a vast amount of information and sometimes even a Zoom call, we only require these pieces of minimal information.

7. Next, you'll arrive at our dashboard. Select the Proxy Aggregator tab, and then choose **Residential Proxy Aggregator.
8. Near the bottom of the page, you'll be able to see our request builder. This tool makes it much easier to write our requests.

Authentication​

For authentication, we use our ScrapeOps API key. When you signed up, you received an API key.

This is used to tie all of your requests to your specific account. Think back to our basic request from earlier.

Our API key gets included in our URL so the Residential Proxy Aggregator can ensure that our account has the proper permissions to use the proxy.

import requests

API_KEY = "your-super-secret-api-key"

proxies = {
  "http": f"http://scrapeops:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops:{API_KEY}@residential-proxy.scrapeops.io:8181"
}
response = requests.get('https://quotes.toscrape.com/', proxies=proxies, verify=False)
print(response.text)

Our proxy urls are constructed like this:

• scrapeops: this is our username.
• API_KEY: the API key tied to your specific account.
• @residential-proxy.scrapeops.io: the actual domain we're connecting to.
• 8181: our port number.

Basic Request Using Residential Proxies​

Let's look at that basic request one more time.

• We'll change our URL here so we can actually check our IP address.
• We change our domain to https://httpbin.org/ip.
• This will send our URL back as a JSON object.

import requests

API_KEY = "your-super-secret-api-key"

proxies = {
  "http": f"http://scrapeops:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops:{API_KEY}@residential-proxy.scrapeops.io:8181"
}
response = requests.get('https://httpbin.org/ip', proxies=proxies, verify=False)
print(response.text)

Here is the resulting IP address.

Now, let's look at the resulting IP address.

As you can see above, our location is showing up in Indonesia. The proxy connection is working.

Country Geotargeting​

Country geotargeting is the ability to route internet traffic through specific geographic locations.

This capability allows users to access content or conduct activities as if they were located in a particular country, which is especially useful for marketing, data scraping, and online research.

With the Residential Proxy Aggregator, we can choose which country we want to appear in.

We handle this by adding a country param to our request.

Take a look at the example below.

• We add .country={COUNTRY} to our username.
• This routes our request through a US based proxy.
• Our target site is going to see our location as that of the proxy.

import requests

COUNTRY = "us"
API_KEY = "your-super-secret-api-key"

proxies = {
  "http": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181"
}
response = requests.get('https://httpbin.org/ip', proxies=proxies, verify=False)
print(response.text)

Here are the code results.

Now, time to verify. Our location should show up inside the US.

As you can see, we're showing up in New York. We've successfully chosen a US location and our IP address is matching our chosen country.

City Geotargeting​

City geotargeting allows users to route their internet traffic through specific cities.

At the time of this writing, we don't currently support city level geotargeting. This feature may come in the future.

You might want to use city level geotargeting for a few reasons.

Take a look at these types of data below.

• Local Marketing and Advertising
• Localized Social Media (like Nextdoor)
• Local Services
• City Specific Events
• Political Campaigns
• Market Research

If you're looking to gain data about any specific community, city level geotargeting gives you a definitive advantage.

Error Codes​

Our list of error codes with the Residential Proxy Aggregator is pretty small. You show know that anything other than a status of 200 is going to require your attention.

This table can help you troubleshoot these issues.

When you run into an issue, lookup the status code and solve your problem accordingly.

If you receive any status code other than a 200, you will not be billed for the usage.

KYC (Know-Your-Customer) Verification​

Our KYC process is pretty simple. All you need is a first name, last name and an email address.

This is far less stringent than other residential providers such as Bright Data.

Many other providers will require one or more of the following:

• Driver's License/ID
• Business Name
• Company Email
• Phone Number
• Reasons for Usage
• Other Services You've Used
• Video Call to Verify Your Usage

Our KYC process is quick and painless.

Implementing ScrapeOps Residential Proxies in Web Scraping​

In the next few sections, we'll show you how to integrate the ScrapeOps Proxy Aggregator with various libraries and frameworks.

Go ahead and take a look below. You get a lot of choices.

• Python Requests
• Scrapy
• NodeJS Puppeteer
• NodeJS Playwright

Python Requests​

You've already seen our integration with Python Requests, but we'll show it again here just for consistency. Take a look at the example below.

Here, we'll walk through the entire process.

Install requests.

pip install requests

Copy/paste the code below into a file and run it. Make sure to replace the API key.

import requests

COUNTRY = "us"
API_KEY = "your-super-secret-api-key"

proxies = {
  "http": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181"
}
response = requests.get('https://httpbin.org/ip', proxies=proxies, verify=False)
print(response.text)

Python Scrapy​

First, install Scrapy.

pip install scrapy

Create a new Scrapy project.

scrapy startproject myscraper

Create a new spider inside the spiders folder and copy/paste the code below into your spider.

Make sure to replace the API key.

import scrapy

class MySpider(scrapy.Spider):
    name = 'myspider'
    
    def start_requests(self):
        # ScrapeOps proxy configuration
        proxy = 'http://scrapeops:your-super-secret-api-key@residential-proxy.scrapeops.io:8181'
        
        urls = [
            'https://httpbin.org/ip',
        ]
        
        for url in urls:
            yield scrapy.Request(url=url, 
                                 callback=self.parse,
                                 meta={'proxy': proxy})  # Set proxy for this specific request

    def parse(self, response):
        # Process the response here
        self.log(f"Visited {response.url}, response IP: {response.text}")

You can run the spider with the following command.

scrapy crawl myspider

NodeJs Puppeteer​

Create a new folder and navigate into it.

mkdir scrapeops-puppeteer
cd scrapeops-puppeteer

Initialize a new JavaScript project.

npm init --y

Install Puppeteer.

npm install puppeteer

Create a new JavaScript file with the code below. Make sure to replace the API key.

const puppeteer = require('puppeteer');

// ScrapeOps proxy configuration
const PROXY_USERNAME = 'scrapeops.country=us';
const PROXY_PASSWORD = 'your-super-secret-api-key'; // <-- enter your API_Key here
const PROXY_SERVER = 'residential-proxy.scrapeops.io';
const PROXY_SERVER_PORT = '8181';

(async () => {
    const browser = await puppeteer.launch({
        ignoreHTTPSErrors: true,
        args: [
            `--proxy-server=http://${PROXY_SERVER}:${PROXY_SERVER_PORT}`
        ]
    });
    const page = await browser.newPage();
    await page.authenticate({
        username: PROXY_USERNAME,
        password: PROXY_PASSWORD,
      });
    

    try {
        await page.goto('https://quotes.toscrape.com/page/1/', {timeout: 180000});
        
        await page.screenshot({path: "quotes.png"})

    } catch(err) {
        console.log(err);
    }
    
    await browser.close();

})();

NodeJs Playwright​

Create a new folder and navigate into it.

mkdir scrapeops-playwright
cd scrapeops-playwright

Initialize a new JavaScript project.

npm init --y

Install Playwright.

npm install playwright
npx playwright install

Create a new JavaScript file with the code below. Make sure to replace the API key.

const playwright = require('playwright');

// ScrapeOps proxy configuration
const PROXY_USERNAME = 'scrapeops.country=us';
const PROXY_PASSWORD = 'your-super-secret-api-key'; // <-- enter your API_Key here
const PROXY_SERVER = 'residential-proxy.scrapeops.io';
const PROXY_SERVER_PORT = '8181';

(async () => {

    const browser = await playwright.chromium.launch({
        headless: true,
        // ignoreHTTPSErrors: true,
        proxy: {
            server: `http://${PROXY_SERVER}:${PROXY_SERVER_PORT}`,
            username: PROXY_USERNAME,
            password: PROXY_PASSWORD
        }
        
    });

    const context = await browser.newContext({ignoreHTTPSErrors: true });

    const page = await context.newPage();

    try {
        await page.goto('https://httpbin.org/ip', {timeout: 180000});

        await page.screenshot({path: "ip.png"})

    } catch(err) {
        console.log(err);
    }
    
    await browser.close();

})();

Case Study - Scrape Amazon.es​

Now, let's scrape Amazon.es. The following script will actually perform two scrapes.

1. First, it will fetch Amazon.es from a US based proxy.
2. Afterward, it will fetch the same site from a Spanish proxy.

Each time we fetch the site, we're going to scrape our location, and we're going to scrape the price of the first item that shows up in our results.

If you're following along, make sure to replace the API key with your own.

import requests
from bs4 import BeautifulSoup

COUNTRY = "us"
API_KEY = "your-super-secret-api-key"

proxies = {
  "http": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181"
}

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36"
}

print("----------------------US-------------------")

response = requests.get('https://www.amazon.es/s?k=port%C3%A1til', proxies=proxies, headers=headers, verify=False)

soup = BeautifulSoup(response.text, "html.parser")

location = soup.select_one("span[id='glow-ingress-line2']")

print("Location:", location.text)

first_price_holder = soup.select_one("span[class='a-price']")
first_price = first_price_holder.select_one("span[class='a-offscreen']")

print("First Price:", first_price.text)


print("----------------------ES---------------------")

COUNTRY = "es"

proxies = {
  "http": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181"
}

response = requests.get('https://www.amazon.es/s?k=port%C3%A1til', proxies=proxies, headers=headers, verify=False)

soup = BeautifulSoup(response.text, "html.parser")

location = soup.select_one("div[id='glow-ingress-block']")

print("Location:", location.text.strip())

first_price_holder = soup.select_one("span[class='a-price']")
first_price = first_price_holder.select_one("span[class='a-offscreen']")

print("First Price:", first_price.text)

Before we run it, let's explain what's going on in this code. The snippet below contains our proxy settings.

COUNTRY = "us"
API_KEY = "your-super-secret-api-key"

proxies = {
  "http": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181"
}

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36"
}

Then, we get our first response back and print our extracted data.

print("----------------------US-------------------")

response = requests.get('https://www.amazon.es/s?k=port%C3%A1til', proxies=proxies, headers=headers, verify=False)

soup = BeautifulSoup(response.text, "html.parser")

location = soup.select_one("span[id='glow-ingress-line2']")

print("Location:", location.text)

first_price_holder = soup.select_one("span[class='a-price']")
first_price = first_price_holder.select_one("span[class='a-offscreen']")

print("First Price:", first_price.text)

Then, we reset our location and proxies and repeat the process.

print("----------------------ES---------------------")

COUNTRY = "es"

proxies = {
  "http": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181",
  "https": f"http://scrapeops.country={COUNTRY}:{API_KEY}@residential-proxy.scrapeops.io:8181"
}

response = requests.get('https://www.amazon.es/s?k=port%C3%A1til', proxies=proxies, headers=headers, verify=False)

soup = BeautifulSoup(response.text, "html.parser")

location = soup.select_one("div[id='glow-ingress-block']")

print("Location:", location.text.strip())

first_price_holder = soup.select_one("span[class='a-price']")
first_price = first_price_holder.select_one("span[class='a-offscreen']")

print("First Price:", first_price.text)

If we run the code, we get the following output.

----------------------US-------------------
/usr/lib/python3/dist-packages/urllib3/connectionpool.py:1020: InsecureRequestWarning: Unverified HTTPS request is being made to host 'residential-proxy.scrapeops.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
  warnings.warn(
Location: 
                   Estados Unidos
                
First Price: 519,83 €
----------------------ES---------------------
/usr/lib/python3/dist-packages/urllib3/connectionpool.py:1020: InsecureRequestWarning: Unverified HTTPS request is being made to host 'residential-proxy.scrapeops.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
  warnings.warn(
Location: Entrega en Málaga 29006
                

                   Actualizar ubicación
First Price: 629,00 €

As you can see, our first extracted location is Estados Unidos (United States) and our first price is 519,83 €.

Our second extracted location is Entrega en Málaga 29006 (in Spain) and our first price is 629,00 €.

The reasoning for this is quite simple. Amazon is detecting our location through our chosen proxies.

Our first proxy (located in the United States) is going to have different products and shipping information than our second proxy (located in Spain).

These different residential proxies can sometimes bring us different results on the page.

Ethical Considerations and Legal Guidelines​

We source our proxies from very reputable sources such as Bright Data, OxyLabs and Smartproxy.

We try to ensure that all of our residiential proxies are ethically sourced.

In order to maintain a good product and a good standing, when using our product, you need to take a few things into consideration.

Legal​

Don't use our product to break laws. This is illegal and it harms everyone involved.

• It harms the person sharing their bandwidth.
• It harms the service they provide for.
• It harms our business that purchases the bandwidth and it also harms you once your activity has been traced to your API key.

Don't scrape and disseminate private data.

• Don't use residential proxies to access illegal content: Such actions can come with intense legal penalties and even prison or jail time.

• Don't scrape and disseminate other people's private data: Depending on what jurisdiction you're dealing with, this is also a highly illegal and dangerous practice. Doxxing private data can also lead to heavy fines and possibly jail/prison time,

Ethical​

When we scrape, we don't just need to think about legality, we also need to make some ethical considerations.

Just because something is legal doesn't mean that it's morally right.

• Social Media Monitoring: Social media stalking can be a very destructive and disrespectful behavior. How would you feel if someone used data collection methods on your account?

• Respect Site Policies: Failure to respect a site's policies can get your account suspended/banned. It can even lead to legal troubles for those of you who sign and violate a terms of service agreement.

Conclusion​

Now, you know how to integrate ScrapeOps residential proxies into your code. This is useful for all sorts of things such as avoiding IP bans, getting past rate limiting, and getting around even the most difficult of geoblockers.

You know how to use Python Requests and you received a crash course in several other scraping frameworks as well.

Take this new skill and go build something!

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If you're in the mood to read more, we've got plenty of content. Whether you're a seasoned dev or your brand new to coding, we've got something useful for you.

We love scraping so much that we wrote the Python Web Scraping Playbook.

If you want to learn more, take a look at the guides below.

• Bright Data Residential Proxies: Web Scraping Guide
• Oxylabs Data Residential Proxies: Web Scraping Guide
• Smartproxy Residential Proxies: Web Scraping Guide