Twitter / X Scraper

Extract tweets, profiles, and engagement data from Twitter into spreadsheets

DataLens turns Twitter/X timeline pages, search results, and profile lists into structured datasets. Pull tweet text, likes, retweets, replies, URLs, and profile fields — all from your browser without API access or rate-limit workarounds.

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Extract tweets without the API

Collect tweet text, timestamps, likes, retweets, reply counts, and media links directly from the browser — no developer tokens required.

Profile and follower data

Scrape follower lists, following lists, and profile metadata including bios, follower counts, and verified status.

Search result exports

Export tweets from any keyword search, hashtag page, or user timeline into a clean CSV for sentiment analysis or competitive research.

Real-world use cases

A brand analyst monitors all tweets mentioning their company during a product launch by searching the brand name on Twitter, applying a date filter, and using DataLens to export the full list of tweets with engagement metrics — turning a search feed into a structured campaign report.

A social media researcher studying discourse patterns around a topic exports tweets from multiple hashtag searches, merges the CSVs, and runs frequency analysis on the tweet text — work that previously required Twitter API access and developer approval.

An influencer marketing manager audits the follower lists of potential creator partners, exporting profile data to cross-check follower growth patterns before committing to a partnership budget.

How it works

1
Open Twitter/X in Chrome and navigate to a search result page, hashtag feed, user timeline, or profile followers/following list. Log in if you are not already — DataLens reads the page within your authenticated session and captures content visible to logged-in users.
2
Open DataLens from the Chrome toolbar. Click on any tweet card, profile row, or follower entry to let the AI detect the repeating structure. DataLens maps visible fields — author handle, tweet text, timestamp, like count, retweet count, reply count — to extraction columns and shows a live preview.
3
Scroll down to load more tweets or profiles. Twitter/X uses infinite scroll, so DataLens accumulates records as each new batch renders. When you have the volume you need, click Export and download as CSV, Excel (XLSX), or JSON.

Frequently asked questions

These are the most common questions teams ask before using DataLens for this workflow.

Can I scrape Twitter/X without an API key?

Yes. DataLens reads what is visible in your Chrome browser session using the extension — no API keys, developer accounts, or OAuth setup required. This is especially useful now that the Twitter API free tier has been heavily restricted for most research use cases.

What Twitter data can I extract?

You can extract tweet text, author handle and display name, posting timestamp, like count, retweet count, reply count, bookmark count, and media or link URLs from timeline, search result, and hashtag pages.

Can I export Twitter follower lists?

Yes. Open any public profile's Followers or Following page, let DataLens detect the profile card rows, and export usernames, display names, bio text, follower counts, and profile URLs to CSV. Scroll to load more profiles before exporting for larger lists.

Does it work on private accounts?

DataLens extracts what is visible in your logged-in browser session. Content from accounts you follow — even if they post privately — is available for extraction. Content from locked or blocked accounts will not be visible and cannot be extracted.

Related scraping workflows

Use these pages to compare adjacent search intents and choose the landing page that matches your export format or extraction challenge.

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