Discover folk - the CRM for people-powered businesses
Why exporting Twitter data matters
Ready to turn every Twitter connection into a real business opportunity? Discover how to export Twitter following list in just a few clicks and elevate your social selling on Twitter game to a whole new level.
With folkX, the Chrome extension that pulls profiles straight into folk CRM, you'll never let a promising lead slip through the cracks. Let's dive in.
| Data to export | Fastest method | Difficulty | Output | Cost | Notes |
|---|---|---|---|---|---|
| Following list (accounts you follow) | folkX → folk CRM | Easy | Direct to CRM (no CSV) | Free trial available | folkX detects visible profiles on X and sends selected fields in one click. |
| Following list (alternative) | Manual copy → Google Sheets / Excel | Easy | Spreadsheet (needs cleanup) | Free | Open "Following," load all, copy/paste, then split name/handle into columns. |
| Likes (users who liked your posts) | X/Twitter API v2 or | Technical (API) / Easy (tool) | CSV (usernames, profile URLs) | Free (API) / Paid (tool) | API needs a developer account and pagination; PhantomBuster outputs a ready-to-use CSV. |
| Your posts | Official X/Twitter data archive | Easy | tweets.csv (or tweet.js to convert) | Free | Request archive in settings, download the ZIP, open CSV in Sheets/Excel. |
| Main points |
|---|
|
How to Export your Twitter Following List?
Export your following list manually
To capture your Twitter following list without any add-ons:
- Open Your Profile's Following Tab: Log into Twitter, click your avatar, then select Following.
- Scroll to Reveal Everyone: Keep scrolling until every profile you follow has loaded.
- Copy and Paste: Click and drag to select all names and handles on the page. Press Ctrl+C (Windows) or ⌘+C (Mac). Open Google Sheets or Excel and paste (Ctrl+V/⌘+V).
- Clean Up Your Data: Use "Text to Columns" (Sheets: Data → Split text; Excel: Data → Text to Columns) to separate names from handles.
It's a simple copy/paste. However, this method doesn't allow social media management teams of 20-50 people to centralize these Twitter profiles efficiently, and pasting errors are very common. ❌
Export Your Twitter Following List with folkX Chrome Extension
For social media management teams of 20-50 people, folk CRM stands out as the best solution for Twitter data export and lead management. It's specifically designed to handle the collaboration needs of medium-sized teams while keeping everything organized in one place. Kick off a free trial of folk CRM, install folkX, and automate your export:
- Install folkX: Visit the Chrome Web Store, add folkX, and pin it beside your address bar.
- Load Your Following Tab: On Twitter, open Following and wait for all profiles to render.
- Open the folkX Sidebar: Click the folkX icon; it auto-detects visible profiles.
- Choose "Export Following": In the sidebar, select the fields you need (username, name, bio, location, email).
- Send Directly to folk: Click Export to folk. Profiles import instantly—no CSV juggling!
- Organize in folk CRM: Find your imports under Twitter Imports, then tag and plan outreach.
With folkX and a folk CRM trial, what takes 10 minutes by hand becomes a single click! 🔥
👉🏼 Try folk now to export your Twitter followers directly into folk CRM and automate team follow-ups
How to Export Twitter Likes?
Export Twitter Likes with API
You can export likes using Twitter's API. The Twitter API v2 lets you pull every user who's liked your tweets in a structured, reliable way. Once you set up a developer account, you tap two endpoints—one to list your liked tweet IDs, another to fetch the users behind each like.
To get started, go to developer.twitter.com, sign up for a free developer account, create a new Project & App, and copy your Bearer Token from the "Keys and Tokens" section—this token lets you authenticate every API call.
- Get your User ID: "Authorization: Bearer YOUR_BEARER_TOKEN" \ "https://api.twitter.com/2/users/by/username/yourhandle.
- Extract the "ID" value from the JSON response.
- List Liked Tweet IDs: "Authorization: Bearer YOUR_BEARER_TOKEN" \ "https://api.twitter.com/2/users/USER_ID/liked_tweets?max_results=100".
- Save each "ID" in a List.
- Use the "next_token" parameter to page through all likes.
- Fetch Liking Users per Tweet: "Authorization: Bearer YOUR_BEARER_TOKEN" \"https://api.twitter.com/2/tweets/TWEET_ID/liking_users?user.fields=id,username,name"
- Collect the returned user objects (id, username, name).
- Combine & Deduplicate: Merge all user arrays into one collection + Remove duplicate entries so each user appears once.
The API procedure is highly technical and not always suitable for social media management teams who need quick, actionable results.
Export Twitter Likes with PhantomBuster
PhantomBuster's Twitter Profile Likes Extractor automates collecting every user who's liked your tweets and outputs a ready-to-use CSV.

- Create a free PhantomBuster account and install their browser extension.
- Connect to Twitter by supplying your session cookie via the extension.
- Select "Twitter Profile Likes Extractor" from the Phantom library.
- Enter your Likes URL
- Launch the Phantom—it runs in the cloud (no browser needed).
- Download the CSV containing each liker's username and profile URL when the run completes
How to Export Twitter Posts?
Twitter's data export feature gives you a complete download of every tweet you've ever posted—no scripts or third-party tools needed. Simply request your archive, grab the file, and you'll have everything in one place for easy reviewing or repurposing.
Export Twitter Posts Manually via Data Archive
- Request Your Archive: On twitter.com, go to Settings and privacy → Your account → Download an archive of your data.
- Re-enter your password and click Request archive.
- Receive & Download: Twitter notifies you by email or in-app when the ZIP is ready (usually within minutes to a few hours). Click the link to download the ZIP file.
- Extract Your Tweets: Unzip the archive and locate the file named tweet.js (or tweets.csv if Twitter provides it). If you have JSON, use a simple converter or script to transform it into CSV.
- Review Your File: Open the CSV in Excel or Google Sheets to see columns for tweet ID, timestamp, and content.
Conclusion
Exporting data from Twitter turns scattered interactions into actionable leads and insights for social media management teams. Here's the quick roadmap:
- Following List: Use folkX for a one-click export into your CRM—no files, no fuss.
- Likes: Tap the Twitter API v2 for a precise, scalable pull of every liker's handle and name.
- Posts: Grab your full tweet history via Twitter's data archive and convert it into a CSV in minutes.
For teams of 20-50 social media managers looking to streamline their Twitter data workflow, folk CRM delivers the perfect balance of functionality and team collaboration features. Ready to supercharge your social selling on Twitter? Install folkX, start your free trial of folk CRM, and watch every connection flow seamlessly into your pipeline.
👉🏼 Try folk now to centralize likers and tweet contacts from your 2025 exports and never miss a follow-up
FAQ
How do you export a Twitter following list to CSV?
Open 'Following', scroll to load all profiles, copy the page, and paste into Sheets/Excel. Split names and handles into columns. For a faster direct-to-CRM export, use folkX to send profiles to folk.
Can you export who liked your tweets?
Yes. With Twitter API v2, list liked tweets for your user ID, then fetch liking users and compile a CSV. No-code tools can do this too. Import the CSV into folk or any CRM.
How do you download all tweets from your account?
In Settings and privacy, select 'Your account' → 'Download an archive of your data'. Request the archive, then download the ZIP. Open tweets.csv, or convert tweet.js to CSV for use in Sheets/Excel.
Is scraping Twitter allowed?
Use data under Twitter's Terms and local laws. Prefer the official API, respect rate limits, avoid sensitive data, obtain consent for contact, and store data securely.
Discover folk CRM
Like the sales assistant your team never had
