Extracts Twitter/X data using the GraphQL API with automated account rotation and session management.
This skill provides a robust framework for scraping data from Twitter (X) without the limitations of the official API. By leveraging an async Python architecture and GraphQL queries, it allows for high-scale collection of tweets, user profiles, follower networks, and trending topics. It features a sophisticated account pool management system that automatically rotates credentials, handles rate limits, and persists sessions, making it ideal for large-scale social media research and automated data analysis.
Key Features
01GraphQL API integration for deep data extraction
02Async/await architecture for high-performance parallel scraping
03Automated account rotation to bypass platform rate limits
040 GitHub stars
05Comprehensive data models for tweets, users, and social graphs
06Support for session persistence using cookies and credentials
Use Cases
01Large-scale social media sentiment analysis and trend monitoring
02Mapping user follower networks and building influencer databases
03Automated archival of tweet history and media for research projects
