Twitter / X Post Scraper
Scrape Twitter / X Posts and Engagement Data to a Spreadsheet
Extract tweet text, like counts, retweet counts, reply counts, view counts, author names, and URLs from any Twitter/X timeline or search result. Export to CSV or Excel for social listening and content research.
What data gets extracted
DataLens automatically detects and extracts these fields from Twitter / X — no selectors, no code, no maintenance.
How it works
- 1
Open a Twitter/X timeline, search results, or hashtag feed in Chrome.
- 2
Launch DataLens and detect the tweet card fields.
- 3
Scroll to load more tweets and export to CSV or Excel.
Frequently asked questions
These are the most common questions teams ask before using DataLens for this workflow.
What Twitter/X data can I extract?
DataLens extracts tweet text, author usernames, like counts, retweet counts, reply counts, view counts, media URLs, and post timestamps from timelines and search results.
Do I need a Twitter API key?
No. DataLens reads the tweet content rendered in your Chrome browser session without requiring developer credentials.
Can I scrape tweets from a specific hashtag?
Yes. Open a Twitter/X hashtag search page and DataLens will detect and extract the visible tweets including engagement metrics.
Can I export to Excel?
Yes. Export Twitter/X post data to CSV, Excel (XLSX), or JSON for social media analysis, reporting, or dataset building.
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