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Twitter
Scraping Teardown

Find out everything you need to know to reliably scrape Twitter,
including scraping guides, Github Repos, proxy performance and more.

Twitter Web Scraping Overview

Twitter implements multiple layers of protection to prevent automated data extraction. This section provides an overview of its anti-bot systems and common challenges faced when scraping, along with insights into how these protections work and potential strategies to navigate them.

Scraping Summary

Twitter is a hugely popular social media platform where users can send and read short messages called 'tweets'. Given its vast user base and wide-ranging content, Twitter is often a target for data extraction, especially for projects related to sentiment analysis, social network analysis etc. Twitter has implemented strong anti-scraping mechanisms and only allows limited access via its API, making unauthorized scraping attempts difficult and risky. Accurate data extraction is further stymied due to its dynamic loading of tweets and constant UI changes. In addition, scraping on Twitter can be challenging as a significant amount of content is behind the user's login, and the data is geolocated. Overall, data extraction is possible but will require sophisticated scraping techniques and may involve potential legal and ethical considerations.

8.5 / 10

Scraping Difficulty
The difficulty score indicates how easy the website is to scrape.

Best Twitter Proxies

Proxy statistics and optimal proxy providers for scraping Twitter. Learn which proxy types work best, their success rates, and how to minimize bans with the right provider.

P

Proxy API Providers

Compare the top proxy API providers for scraping Twitter. See which providers offer the best performance, success rates, and value for your web scraping needs.

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ScrapeOps Proxy API Aggregator

Use over 20+ web scraping proxy API providers from a single proxy port. The ScrapeOps Proxy API Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Proxy API Performance Comparisons

We're working on bringing you comprehensive proxy API provider comparisons for Twitter. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best proxy API provider for scraping Twitter.

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Residential Proxy Providers

Compare the top residential and mobile proxy providers for scraping Twitter. See which providers offer the best performance, success rates, and value for your web scraping needs.

Best Provider:
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Cost Per Million:
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ScrapeOps Residential Proxy Aggregator

Use over 20+ residential & mobile proxy providers from a single proxy port. The ScrapeOps Residential Proxy Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Residential Proxy Performance Comparisons

We're working on bringing you comprehensive residential and mobile proxy provider comparisons. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best residential proxy provider for scraping Twitter.

Twitter Anti-Bots

Anti-scraping systems used by Twitter to prevent web scraping. These systems can make it harder and more expensive to scrape the website but can be bypassed with the right tools and strategies.

Detected 1 Anti-bot system

Twitter Custom Anti-Bot

Twitter uses their own custom built anti-scraping system designed to hamper and/or prevent web scraping. Twitter uses a combination of techniques to detect and block scrapers. Twitter's protections can be bypassed using a number of techniques.

6/ 10

Bypass Difficulty

Bypass Options

Twitter Data

Explore the key data types available for scraping and alternative methods such as public APIs, to streamline your web data extraction process.

Data Types

No data types found

Public APIs

Available
Paid API

API Description

The X API supports retrieval of posts, user information, timelines, mentions, media metadata, and filtered streams. It enables search queries, posting content, account management actions, and access to basic engagement metrics. Access is tiered more strictly than in the past. Free and basic plans are heavily limited, and advanced features such as full archive search, high volume streaming, or broad historical analytics require paid enterprise level subscriptions. These limitations make the API unsuitable for applications needing complete datasets, competitive intelligence, or long term historical analysis.

Access Requirements

Requires API key and authentication. Most high volume or historical endpoints require paid access, with strict rate limits on free and basic tiers.

API Data Available

Posts
User Profiles
Timelines
Mentions
Filtered Stream Data
Media Metadata
Basic Engagement Metrics

Why People Use Web Scraping?

While the X API offers structured access to posts and user data, it enforces strict rate limits, limited historical depth, and expensive paid tiers for meaningful scale. Features like full archive search, trending data analysis, or broad keyword monitoring often require enterprise level pricing. Developers needing comprehensive data coverage, real time tracking, or large scale historical insights typically rely on web scraping. Scraping enables access to trending timelines, live search results, replies, quote posts, and topic level monitoring at a level of scale not available through standard API tiers.

Twitter Lawsuits

Legal Actions Against Scrapers: A history of lawsuits filed by the website owner against scrapers and related entities, highlighting legal disputes, claims, and outcomes.

Lawsuits Summary

Twitter has been involved in 3 legal disputes related to web scraping, primarily targeting companies and individuals who scrape its product data, pricing information, and customer reviews without authorization.

Found 3 lawsuits

X Corp. v. Bright Data Ltd.
unknown

In August 2023, X Corp. sued Bright Data Ltd., an Israel-based research firm, alleging that Bright Data engaged in unauthorized scraping of Twitter's publicly accessible data for commercial purposes. The lawsuit claimed that Bright Data's activities violated Twitter's terms of service and resulted in unjust enrichment.

Plaintiff

X Corp.

Defendant

Bright Data Ltd.

Date filed

10 Aug 2023 - Ongoing

Legal Basis
Unauthorized Access

X Corp. v. John Does 1-4
unknown

In July 2023, X Corp. (formerly Twitter) filed a lawsuit against four unidentified individuals for allegedly scraping Twitter's publicly accessible data without authorization. The defendants, identified only by their IP addresses, were accused of overburdening Twitter's servers and degrading the user experience by sending automated requests to the platform's sign-up page.

Plaintiff

X Corp.

Defendant

John Does 1-4

Date filed

7 Jul 2023 - Ongoing

Legal Basis
Unauthorized Access

X Corp. v. Bright Data
dismissed

X Corp. (formerly Twitter) initiated legal action against Bright Data for scraping public data from its platform. The case centered around the legality of collecting publicly available information from social media platforms.This lawsuit highlighted the ongoing debate about data ownership and access rights on social media platforms.

Plaintiff

X Corp.

Defendant

Bright Data

Date filed

1 Jan 2023 - 31 Dec 2023

Legal Basis
Unauthorized Access
More Links

techcrunch.com

Twitter Github Repos

Find the best open-source scrapers for Twitter on Github. Clone them and start scraping straight away.

Language
Code Level
Stars
Maintained
Last updated 2 months ago

twitter-scraper is a Node.js library that provides a fast and unrestricted method for retrieving tweets from Twitter's frontend API. It bypasses traditional API limitations, enabling users to access any user's tweet directly with minimal setup.


Page Types: User Profile, Serp Search

Language:
typescript
Code Level:
professional
Created
3 years ago
531 Stars
83 Forks
Unmaintained
Last updated 6 months ago

tweety is a reverse-engineered Twitter frontend API that allows users to interact with Twitter data without using the official API. It provides asynchronous functions to retrieve tweets and handle Twitter accounts while adhering to usage limitations.


Page Types: Article

Language:
python
Code Level:
immediate
Created
4 years ago
629 Stars
87 Forks
Unmaintained
Last updated 6 months ago

Twikit is a simple Twitter API scraper that allows users to interact with Twitter functionalities without the need for an API key. It enables users to create tweets, search for tweets, retrieve trending topics, and send direct messages on Twitter.

Language:
python
Code Level:
immediate
Created
2 years ago
3.7K Stars
448 Forks
Last updated 9 months ago

selenium-twitter-scraper is a tool that enables users to extract tweets from Twitter profiles, hashtags, and searches. It allows for customization of the number of tweets scraped and supports various authentication methods for accessing user-specific data.


Page Types: User Profile, Product Search

Language:
jupyter notebook
Code Level:
immediate
Created
2 years ago
292 Stars
72 Forks
Unmaintained
Last updated 2 years ago

Simple Twitter Profile Analyzer is a tool that analyzes Twitter profiles by examining tweet activity and other profile metrics. It detects average tweet activity by time, language settings, geolocations, and various analyses of hashtags and user interactions.

Language:
python
Code Level:
beginner
Created
8 years ago
3K Stars
453 Forks
Unmaintained
Last updated 2 years ago

Twitter Scraper is a tool for extracting tweets and user profiles from Twitter without the limitations of the official API. It allows users to log in, fetch tweets, search for tweets by query, and access trends easily and quickly.


Page Types: User Profile, Job Page

Language:
go
Code Level:
immediate
Created
7 years ago
973 Stars
227 Forks
Unmaintained
Last updated 2 years ago

twitter-scraper is a library designed to extract tweets and trends from Twitter without the limitations of its official API. It allows users to retrieve tweets from specific users or hashtags efficiently and access user profile information easily.


Page Types: User Profile

Language:
python
Code Level:
immediate
Created
7 years ago
4K Stars
606 Forks
Page 1 of 2

Twitter Web Scraping Articles

Find the best web scraping articles for Twitter. Learn how to get started scraping Twitter.

Language
Code Level

How to scrape X.com (Twitter) data using Python (2024 update)

This tutorial shows how to create a Python web scraper specifically for extracting public data from Twitter. It provides step-by-step instructions for setting up the environment, logging in, scraping tweets, and storing the data efficiently.

python

1 min to read

apify.com

How to Scrape Twitter (X.com) Using Lobstr.io Twitter Scraper API

This article provides a comprehensive guide on how to effectively scrape Twitter trends using the Lobstr.io API and Python. It explains the entire process step by step, covering authentication, synchronization, task creation, and data download.

python

1 min to read

lobstr.io

How to still scrape millions of tweets in 2023 using twscrape | by vladkens | Medium

This article shows how to scrape millions of tweets in 2023 using the twscrape library, providing insights into its functionality and usage. It outlines the setup process, including requirements, installation, and various API functionalities for gathering Twitter data.

python

1 min to read

medium.com

How to Scrape Tweets from Twitter (No Code) - 2024 Edition

This article shows how to scrape tweets from a Twitter account without any coding knowledge by using a no-code scraping tool called Lobstr.io. It provides a detailed step-by-step guide for users to extract tweet data efficiently and ethically.

1 min to read

lobstr.io

Master Twitter Scraping: Python, Tweepy & Snscrape Guide

This guide shows how to scrape tweets using Python, focusing on two methods: the Tweepy API and Snscrape. It provides step-by-step instructions, compares the features and limitations of both approaches, and emphasizes best practices for ethical data extraction.

python

1 min to read

product-fetcher.com

How to Scrape X.com (Twitter) using Python (2025 Update)

This tutorial shows how to scrape X.com (formerly Twitter) using Python, employing techniques such as headless browsers and background request capturing. It provides detailed insights into scraping tweets and user profiles, along with usage of the Scrapfly SDK for bypassing access restrictions.

python

1 min to read

scrapfly.io

Mastering Twitter (X) Scraping: Top Tools and Practices in 2025

This article provides a comprehensive guide on how to scrape Twitter data effectively using various tools and methods. It covers the types of data that can be extracted, legal considerations, and specific scraping tools and libraries to streamline the process.

python

1 min to read

rapidseedbox.com

Page 1 of 13

Twitter Web Scraping Videos

Find the best web scraping videos for Twitter. Learn how to get started scraping Twitter.

Language
Code Level

The project involves scraping social media data using a specific GitHub repository and a tool called Social Data to collect insights from various platforms. It provides resources for developers interested in leveraging APIs for social media scraping.

Python
Published
8 months ago
5 min Length
4 Likes
157 Views

The tutorial demonstrates how to scrape tweets, user information, and meta data from Twitter accounts using Make.com and Apify, emphasizing that no coding is required and both tools offer free tiers for use. This simple automation serves as a foundation for more complex tasks in data processing and analysis.

Apify
Make.com
Published
1 year ago
8 min Length
23 Likes
1.6K Views

This video tutorial demonstrates how to scrape Twitter followers using the website tweetscraper.io to enhance cold email campaigns, specifically targeting high-intent users interested in agency services. Users are shown how to filter and export potential leads, thereby increasing their meeting and closing rates.

Published
1 year ago
7 min Length
32 Likes
1.2K Views

The video tutorial explains how to easily scrape data from Twitter (now known as X) into Google Sheets using the Magical Chrome extension, which allows users to automate repetitive tasks without needing any coding skills. It showcases the simplicity and efficiency of transferring information with just one click, saving time on manual data entry.

Published
2 years ago
5 min Length
138 Likes
13.3K Views

In this video, the process of scraping Twitter data using the Python library `snscrape` is demonstrated, allowing users to collect and save historic tweets for analysis or archiving. The code's sophistication level can be classified as intermediate, making it suitable for those with some programming experience.

Python
snscrape
Published
3 years ago
7 min Length
2.2K Likes
82.3K Views