A Twitter scraper for public profiles and tweets

The Twitter scraper takes a list of X inputs — profile URLs, @handles or individual tweet URLs — and returns structured data for each. No login or account connection is needed; it reads the public side of X the way any visitor would.

For a profile it returns the display name, bio, follower and following counts, location and verified status. For tweets it returns the text, the post date and the engagement counts — replies, reposts and likes — so you can see not just what an account said but how it landed.

The result is a dataset instead of a feed. A list of prospects or competitor accounts becomes rows you can filter by follower size, scan for talking points, or sort by engagement to find the posts that actually got traction.

Scraped as data, X becomes a research layer rather than a feed to scroll. A list of prospect handles, exported with bios and recent tweets, lets you spot the talking points worth opening with and skip the accounts that are inactive or off-topic. Sorting tweets by engagement surfaces the posts an audience actually cared about, which is useful both for understanding a competitor message and for finding the threads where potential customers already gather. Because the scraper reads the public side of X without a login, there is no account to connect and no enterprise contract to sign — the same data the platform shows every visitor, simply collected into a file you can work with.

• Outbound teams researching what a target prospect posts about publicly to find a relevant angle.
• Brand monitors tracking mentions and competitor accounts without an enterprise data contract.
• Lead researchers scraping who replied to a competitor’s announcement to find warm prospects.
• Analysts measuring which of an account’s posts earned the most engagement over a period.

Profiles and tweets return structured rows:

The Twitter scraper fetches the public version of each profile or tweet and reads the data X exposes without authentication. It does not log in or use account credentials, so there is nothing to connect and no session to maintain.

Every run is live, so follower counts and engagement numbers are current as of the job. Requests route through rotating residential proxies and are paced to look like ordinary browsing, which keeps a longer list of accounts returning complete results.