Export Twitter Friends (Following)
Export the list of all Twitter friends (i.e. accounts a user is following) for any user in CSV, Excel or JSON. No sign up required. Only $0.99 per 1000 accounts
We will send a link to download the data when finished
Maximum number of friends a user is following to export. Keep this blank to export all friends. Minimum order size is 1000 friends
Need to get following data for your own app?
- Flat rate $0.0002 per follower with discounted rates for enterprise customers
- Generous rate limits
- No hassle with proxies or scraping
- Well-documented and easy to integrate
Use Cases
How to use followers data?
Audience Analysis and Segmentation
Exporting your Twitter follower data allows you to gain valuable insights into your audience. By analyzing demographics, location, language, and other data points, you can segment your followers and tailor your content and messaging to specific groups.
Influencer Marketing
Twitter follower data can help you identify influencers within your follower base. By analyzing their follower count, and relevance to your brand, you can collaborate with influential users to amplify your reach and target potential customers effectively.
Content Strategy Optimization
Analyzing your follower data enables you to understand which types of content could resonate best with your audience. You can optimize your content strategy, create more impactful posts, and increase audience interaction.
Improve Engagement
Exporting your Twitter follower data provides valuable insights into where your audience is located, and therefore when your audience is expected to be most active and engaged. Leveraging this data allows you to optimize your tweet scheduling for maximum visibility, interaction, and engagement.
Competitor Analysis
Analyzing your own follower data and comparing it with your competitors' followers can provide valuable competitive insights. By understanding the demographics, interests, and engagement levels of your competitors' followers, you can identify gaps, identify successful strategies, and refine your own social media approach.
Account Cleanup
Exporting your follower data allows you to identify inactive or fake accounts among your followers. By filtering out these accounts, you can improve follower quality, increase engagement rates, and ensure that your follower count accurately represents genuine interest in your brand.
Data Description
What's Included?
- id
- User ID
- created_at
- Date and time when a user profile was created, formatted in line with ISO 8601 standard
- name
- User's name
- screen_name
- User's Twitter username
- location
- User's location
- url
- User's website url
- description
- User's bio description
- protected
- Indicates if the user's profile is protected (tweets are hidden)
- verified
- Indicates if the user has a verified blue checkmark or not
- followers_count
- User's number of followers
- friends_count
- User's number of friends / accounts they are following
- listed_count
- The number of public lists that this user is a member of
- favourites_count
- User's number of likes
- statuses_count
- User's number of posts and replies
- profile_banner_url
- User's profile banner
- profile_image_url_https
- User's profile picture
- can_dm
- Indicates if the user has DMs open
- last_tweet_id
- The following fields are only included if [Include last post] option was enabled. Field indicates the ID of the user's latest tweet or reply. This and the following fields will be empty if the user has no tweets on their profile
- last_tweet_created_at
- Date and time when the user's latest tweet or replies was published, formatted in line with ISO 8601 standard
- last_tweet_text
- Text of the user's last tweet or reply
- last_tweet_in_reply_to_status_id
- If the last post was a reply - this field will contain an ID of original tweet in the conversation. This field may be empty
- last_tweet_in_reply_to_user_id
- If the last post was a reply - this field will contain an ID of the user being replied to. This field may be empty
- last_tweet_in_reply_to_screen_name
- If the last post was a reply - this field will contain a username of the user being replied to. This field may be empty
- last_tweet_quoted_status_id
- If the last post was a quote tweet - this field will contain an ID of the original tweet. This field may be empty
- last_tweet_quote_count
- Total number of quote replies of the user's latest tweet or reply
- last_tweet_reply_count
- Total number of comments of the user's latest tweet or reply
- last_tweet_retweet_count
- Total number of retweets of the user's latest tweet or reply
- last_tweet_favorite_count
- Total number of likes of the user's latest tweet or reply
- last_tweet_lang
- A short language code corresponding to the users latest tweet or reply
- last_tweet_views_count
- Total number of view of the user's latest tweet or reply. This field may be empty
- last_tweet_bookmark_count
- Total number of bookmarks of the user's latest tweet or reply. This field may be empty
Frequently Asked Questions
Everything you need to know