Twitter User Followers Scraper
Create an Apify account
Add Input parameters
Click the Start
button and wait for the data to be extracted
Download your data in JSON, XML, CSV, Excel, or HTML
1{ 2 "username": "elonmusk", 3 "num": 50 // Maximum results that you want to scrape 4}
You can download the resulting dataset in various formats such as JSON, HTML, CSV, Excel or HTML. The structure of each object looks like this:
1{ 2 "id": "95092020", 3 "profile_image_url_https": "https://pbs.twimg.com/profile_images/1407056014776614923/TKBC60e1_normal.jpg", 4 "name": "Dr Jordan B Peterson", 5 "screen_name": "jordanbpeterson", 6 "is_blue_verified": true, 7 "description": "Best-Selling Author | Clinical Psychologist | #1 Education Podcast | Co-founder of @petersonacademy | Order my new book \"We Who Wrestle With God\" here:", 8 "followers_count": 5966164, 9 "friends_count": 1672, 10 "favourites_count": 185, 11 "media_count": 7345, 12 "statuses_count": 51468, 13 "listed_count": 14746, 14 "created_at": "Sun Dec 06 23:33:02 +0000 2009", 15 "profile_url": "https://x.com/jordanbpeterson", 16 "verified_type": null 17}
We value your feedback and are here to assist you with any questions or concerns you may have. Feel free to reach out to us throught the following email: twittapi.work@gmail.com
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!