Scrape Twitter/X data with rotating accounts and session management.
npx skills add https://github.com/2025Emma/vibe-coding-cn --skill twscrape
Please help me install this Agent Skill. Skill: twscrape Source: https://github.com/2025Emma/vibe-coding-cn/tree/main/i18n/en/skills/twscrape Command: npx skills add https://github.com/2025Emma/vibe-coding-cn --skill twscrape
twscrape enables Python-based scraping of Twitter/X data with account rotation and session management to bypass API limits.
Install twscrape, add accounts (cookies or credentials), and start simple searches or user/tweet lookups.
High-intent search queries and answers about installing and using this skill.
Twitter/X scraping with rate limits is solved by rotating multiple authenticated accounts. twscrape automates account rotation and session management to distribute requests across accounts, bypassing individual rate limits and enabling continuous large-scale data collection.
Yes. twscrape supports large-scale scraping of tweets, profiles, followers, trends, and media using asynchronous and parallel operations. It handles both single lookups and bulk data collection with automatic account rotation and session persistence.
twscrape provides both Python API and CLI interfaces. Install the package, add accounts using cookies or credentials, configure per-account or global proxies, then use async Python functions or CLI commands to search tweets, fetch user data, or monitor trends with automatic rotation.
Yes. twscrape uses GraphQL-based data access to extract Twitter/X information. It implements SNScrape-compatible data models, ensuring output formats work seamlessly with downstream analytics tools and processing pipelines.
Account rotation bypasses rate limits but requires maintaining multiple authenticated accounts with valid sessions. Session persistence and proxy management add operational overhead, and Twitter/X may detect coordinated scraping patterns despite rotation.
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