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.
Subdomains
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.
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.
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.
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.
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.
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.
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
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
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 Web Scraping Legality
Understand the legal considerations before scraping Twitter. Review the website's robots.txt file, terms & conditions, and any past lawsuits to assess the risks. Ensure compliance with applicable laws and minimize the chances of legal action.
Legality Review
Twitter's robots.txt file and Terms of Service implement a robust barrier against unapproved automated access, creating restrictions against general-purpose web scraping. However, these measures express Twitter's preferences, not absolute legal limitations, and public-page scraping - when conducted without circumventing access controls - aligns with broad legal principles in most jurisdictions.
The crux of legal risk arises from scraping behind logins, extracting personal data, and overriding technical barriers, all of which potentially breach terms that users have expressly agreed to. For developers handling publicly accessible content, usual practices entail respectful crawling in line with robots.txt instructions, steering clear of protected sections, and prudently dealing with personal or copyrighted data to mitigate potential legal complications.
Twitter Robots.txt
Does Twitter robot.txt permit web scraping?
Summary
The robots.txt file for Twitter is geared towards limiting the accessibility of general purpose crawlers. Notable rules include Disallow: /, which essentially blocks the entirety of the site to unauthorized bots. This restriction applies universally across all agents, barring a few exceptions for certain search engine bots such as Googlebot and Bingbot.
Limited exceptions exist in the form of Allow: /i/streams/stream/* and Allow: /i/broadcasts/stream/* which permit certain site operations. However, these allowances do not grant extensive permission to traverse the site for general web scrapers. Based on the explicit disallow directive and minimal permit entries, Twitter's robots.txt clearly indicates a restrictive stance towards web scraping. Exceptions exist only for a limited set of paths, granting restrictive and selective access to non-whitelisted bots.
Twitter Terms & Conditions
Does Twitter Terms & Conditions permit web scraping?
Summary
The terms of service for Twitter (X) include explicit statements about automated access and data extraction. The terms state:
"access, search, or attempt to access or search the Services by any means (automated or otherwise) other than through our currently available, published interfaces that are provided by Twitter (and only pursuant to the applicable terms and conditions), unless you have been specifically allowed to do so in a separate agreement with Twitter. Note that crawling the Services is permissible if done in accordance with the provisions of the robots.txt file."
This indicates that scraping or automated access is generally restricted to approved interfaces, with a limited allowance for crawling that respects robots.txt. The restriction is framed broadly and applies across the service, which effectively covers both public and logged‑in areas. As with many online contracts, enforceability can depend on whether a user has explicitly agreed to the terms (e.g., by creating or using an account), even though the document frames the rules as universally applicable.
Twitter provides an official API (the X API) that serves as the sanctioned means for automated access, typically subject to registration, rate limits, and other usage constraints. The terms and related policies also imply that bypassing barriers such as logins, rate limits, or CAPTCHAs would violate the rules, and potential consequences include actions like IP blocking, account suspension, and legal remedies. In practice, scraping is only allowed under specific conditions—namely, through approved interfaces or crawling consistent with robots.txt and any written permissions.
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
More Links
X Corp. v. John Does 1-4unknown
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
More Links
X Corp. v. Bright Datadismissed
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
More Links
Twitter Github Repos
Find the best open-source scrapers for Twitter on Github. Clone them and start scraping straight away.
Language
Code Level
Stars
twitter-scraper
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
3 years ago
tweety
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
4 years ago
twikit
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.
2 years ago
selenium-twitter-scraper
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
2 years ago
tweets_analyzer
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.
8 years ago
twitter-scraper
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
7 years ago
twitter-scraper
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
7 years ago
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.
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.
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.
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.
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.
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.
1 min to read
rapidseedbox.com
Twitter Web Scraping Videos
Find the best web scraping videos for Twitter. Learn how to get started scraping Twitter.
Language
Code Level
How to scrape Twitter
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.
8 months ago
Scrape X (Twitter) with no code required in minutes, using apify and make.com. Easy use case!
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.
1 year ago
How to Scrape 1000's of Targeted Emails From Twitter in 2024 | TweetScraper
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.
1 year ago
How to Scrape Twitter to Google Sheets (in 1 Click!) | Easy No Code Scraper
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.
2 years ago
Scrape Twitter with 5 Lines of Code
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.
3 years ago