Export Twitter Followers

Export the list of all Twitter followers for any user in CSV, Excel or JSON. No sign up required. Only $0.99 per 1000 followers

Twitter Username:

Your e-mail:

We will send a link to download the data when finished

# of followers to extract (optional):

Maximum number of followers to export. Keep this blank to export all followers. Minimum order size is 1000 followers

Include last post for each follower (+ $0.99 per 1000 followers)

Provide output as:

This followers export tool is taking a short break while we implement some improvements. We expect to be back and better than ever in a couple of days.

Need to get followers data for your own app?

Integrate SocialData API to get followers directly from your 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

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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?

Field

Description

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