twitter-x-scraping

You can scrape public X/Twitter timeline and list data without an API key by routing requests through open-source Nitter mirrors. This approach bypasses official credentials to collect public tweets for research and sentiment tracking.

The best way to collect public tweets from an X list without official credentials is using Nitter mirror instances. This method applies cursor-based pagination and date-bound stopping to efficiently aggregate tweets from specific lists.

Nitter scraping handles anti-bot challenges by falling back from plain HTTP requests to headed Playwright browser sessions. It also applies exponential backoff retries to manage rate-limited responses.

You can stop tweet collection at a specific past date using date-bound stopping. The scraper automatically skips pinned posts and uses cursor-based pagination to ensure accurate date cutoffs without unnecessary fetches.

Twitter scrapers hit rate limits when making rapid sequential requests to social media data mirrors. You can avoid this by implementing exponential backoff retries and using headed Playwright fallbacks during anti-bot challenges.

The main limitation of using Nitter mirrors for social media data collection is encountering anti-bot challenges and rate limiting. Additionally, this approach is restricted to public timelines and lists, meaning private data remains inaccessible.