AI-Powered Web Scraping

Simple Twitter post scraper

Extract tweet text, usernames, like counts, and timestamps in 2 clicks — then export to Excel, Google Sheets, or Notion instantly. No manual copy-pasting, coding, or complex setup required.

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A quick playground: Try it yourself.

Unlock Twitter post data with Thunderbit

Effortlessly extract valuable data from Twitter posts with just a few clicks.

Get clean Twitter post data, instantly

Tired of messy, unstructured tweet data? Thunderbit automatically cleans and formats tweet text, usernames, timestamps, like counts, and more as it extracts. Get structured, analysis-ready data without any manual cleaning required.

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Export Twitter post data, one click

Stop wasting time copying and pasting tweet data. With Thunderbit, export your scraped Twitter posts directly to Google Sheets, Notion, Airtable, or Excel in a single click. Analyze tweet text, user handles, retweet counts, and more in your favorite tools, instantly.

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Two-click Twitter post data extraction

Forget complicated setups and coding. Thunderbit lets you extract data from Twitter posts in just two clicks. Simply point to the fields you want — tweet text, username, like count — and click to extract. It's that simple.

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Why is Thunderbit different from traditional Twitter post scrapers?

Extract data from twitter-post without the headaches of traditional scrapers.

Traditional scrapers

The old way of doing things
Twitter's frequent layout changes often break traditional scrapers that rely on fixed CSS selectors.
Many scrapers fail when tweet content is dynamically loaded, resulting in incomplete data sets.
Inconsistent pagination on Twitter can cause scrapers to miss tweets or return duplicate results.
Extracting data from nested tweet threads requires complex logic and frequently leads to errors.
You'll need to manually clean and format scraped tweet data before it's usable for analysis.
The AI Advantage

Thunderbit AI

The smarter approach
Thunderbit's semantic AI understands page content by meaning, automatically adapting to Twitter's layout changes.
Our AI detects and extracts dynamically loaded tweets, giving you complete and accurate data sets.
Thunderbit intelligently handles Twitter's pagination, ensuring all tweets are captured without duplicates.
With subpage scraping, Thunderbit automatically visits each tweet thread and extracts the full details.
Thunderbit structures and formats your tweet data during extraction, so it's ready to analyze immediately.

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Frequently asked questions

Related use cases

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View All Use Cases

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