Twitter User Following Scraper

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Twitter User Following Scraper

How to use?

1. Create an Apify account

2. Open Twitter User Following Scraper

3. Add Input parameters

4. Click the Start button and wait for the data to be extracted Download your data in JSON, XML, CSV, Excel, or HTML

Input parameters

{
"username":"elonmusk",
"num":50// Maximum results that you want to scrape
}

Output

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:

Output Example

{
"id":"95092020",
"profile_image_url_https":"https://pbs.twimg.com/profile_images/1407056014776614923/TKBC60e1_normal.jpg",
"name":"Dr Jordan B Peterson",
"screen_name":"jordanbpeterson",
"is_blue_verified":true,
"verified_type":null,
"description":"Best-Selling Author | Clinical Psychologist | #1 Education Podcast | Co-founder of @petersonacademy | Order my new book \"We Who Wrestle With God\" here:",
"followers_count":5966164,
"friends_count":1672,
"favourites_count":185,
"media_count":7345,
"statuses_count":51468,
"listed_count":14746,
"created_at":"Sun Dec 06 23:33:02 +0000 2009",
"profile_url":"https://x.com/jordanbpeterson"
}

Contact

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