Threads Liker Scraper
Pricing
from $1.00 / 1,000 results
Threads Liker Scraper
Extract users who liked any Threads post. Get usernames, display names, profile pictures, follow status, and timestamps. Supports batch processing of multiple posts. Requires a Threads Session ID.
Pricing
from $1.00 / 1,000 results
Rating
5.0
(1)
Developer
Rush
Maintained by CommunityActor stats
1
Bookmarked
29
Total users
0
Monthly active users
6 days ago
Last modified
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Extract users who liked, reposted, or quoted any Threads post. Get usernames, display names, profile pictures, mutual follow status, quote text, and timestamps — all in a clean, flat dataset ready for analysis.
What does Threads Liker Scraper do?
This scraper retrieves users who engaged with a specific Threads post. Choose from three engagement types — or extract all at once:
- Likes — Users who liked the post
- Reposts — Users who reposted (shared) the post
- Quotes — Users who quoted the post, including their quote text
For each user, you get:
- Username and display name
- Profile picture URL
- Mutual follow status (whether they follow you and whether you follow them)
- Engagement timestamp (when they interacted with the post)
- Quote text and a link to the quote post (for quote-type engagement)
- Total engagement count for that type on the post
How to use
1. Get your session ID
Engagement data is only visible to a signed-in account, so the scraper needs a session ID from your own logged-in browser:
- Open Threads in your browser and make sure you are logged in.
- Open your browser's developer tools (F12, or Cmd+Option+I on a Mac).
- Go to Application → Cookies → threads.com.
- Copy the value of the cookie named
sessionid.
Treat that value as private. If a run tells you the session was not accepted, copy a fresh one the same way.
2. Configure the scraper
- Post URLs: Paste one or more Threads post links (up to 50)
- Session ID: Paste your session cookie value
- Engagement Type: Choose Likes, Reposts, Quotes, or All
3. Run and export
Click Start and wait for the results. Export your dataset as JSON, CSV, Excel, or connect via API.
Input example
Extract likes (default)
{"postUrls": ["https://www.threads.net/@zuck/post/DTa3-B1EbTp"],"sessionId": "your_session_id_here"}
Extract all engagement types
{"postUrls": ["https://www.threads.net/@zuck/post/DTa3-B1EbTp","https://www.threads.net/@joshuanguyen/post/DTa__UlEpwA"],"sessionId": "your_session_id_here","engagementType": "all"}
Output example
Like record
{"post_url": "https://www.threads.net/@zuck/post/DTa3-B1EbTp","post_id": "3808602590024938729","total_count": 2944,"engagement_type": "like","username": "example_user","user_id": "10000000001","display_name": "Example User","profile_pic_url": "https://instagram.ftpe7-1.fna.fbcdn.net/v/...","is_following_you": false,"you_are_following": false,"is_private": null,"quote_text": null,"quote_url": null,"timestamp": "2026-02-12T13:12:54+00:00","extracted_at": "2026-03-09T07:03:35.412088+00:00"}
Quote record
{"post_url": "https://www.threads.net/@zuck/post/DTa3-B1EbTp","post_id": "3808602590024938729","total_count": 39,"engagement_type": "quote","username": "techblogger","user_id": "12345678901","display_name": "Tech Blogger","profile_pic_url": "https://instagram.ftpe7-1.fna.fbcdn.net/v/...","is_following_you": true,"you_are_following": false,"is_private": null,"quote_text": "Great insights from Zuck on this topic!","quote_url": "https://www.threads.net/@techblogger/post/DTb9PNhDeyD","timestamp": "2026-02-10T08:30:00+00:00","extracted_at": "2026-03-09T07:03:35.412088+00:00"}
Output fields
| Field | Type | Description |
|---|---|---|
post_url | string | Source Threads post URL |
post_id | string | Numeric post identifier |
total_count | integer or null | Total count Threads reports for this engagement type on the post. Null when the platform does not report a usable number |
engagement_type | string | Type of engagement: like, repost, or quote |
username | string | User's Threads username |
user_id | string | User's numeric ID |
display_name | string | User's display name |
profile_pic_url | string | User's profile picture URL |
is_following_you | boolean | Whether this user follows you |
you_are_following | boolean | Whether you follow this user |
is_private | boolean or null | Whether the account is private, when Threads reports it. Usually null |
quote_text | string or null | Quote content (only present for quote engagement type) |
quote_url | string or null | Link to the quote post itself (only present for quote engagement type) |
timestamp | string or null | ISO 8601 timestamp of the engagement |
extracted_at | string | ISO 8601 timestamp of when the data was extracted |
FAQ
Will I get everyone who engaged with a post?
No. Threads only hands back part of a post's engagement, so a post with thousands of likes returns a portion of them rather than the full list. Every row carries total_count, the total Threads reports for that engagement type, so you can always see how much of it you received. What is available also varies by post, engagement type, and what your account can see.
What's the difference between Likes, Reposts, and Quotes?
- Likes: Users who tapped the heart icon
- Reposts: Users who shared the post to their own profile (similar to a retweet)
- Quotes: Users who shared the post with their own added commentary — the
quote_textfield contains what they wrote
What does "All" engagement type do?
Selecting "All" extracts likes, reposts, and quotes from each post in a single run. Each record includes an engagement_type field so you can filter by type.
Do I need a Threads account? Yes. Engagement is only visible to a signed-in account, so the scraper works through a session ID from your own. It is marked as a secret input, so it is kept encrypted with your run and never appears in the logs or the output.
Can I access engagement from private accounts? You can only access engagement for posts that are visible to your logged-in account.
What if my session stops working?
The scraper checks your session before it starts collecting, so a session that is no longer valid is reported straight away. If one stops working part-way through, the run stops and tells you rather than carrying on, and anything already collected stays in your dataset. Either way, copy a fresh sessionid from your logged-in browser and run again. How long a session lasts depends on your own account activity.
Can I process multiple posts at once? Yes. You can provide up to 50 post links in a single run.
What happens if a run is interrupted? Results are saved as they are collected, so an interrupted run keeps everything it had already extracted and continues from there.
Use cases
- Engagement analysis: Understand who likes, reposts, and quotes your content
- Audience research: Discover potential followers and collaborators
- Content strategy: Track which posts attract the most engagement across all types
- Competitor analysis: See who engages with competitor content
- Community building: Identify your most active supporters
- Quote monitoring: Track what people say when quoting your posts
Need Another Threads Workflow?
- Threads Scraper - Posts, Profiles & Search: collect public posts, search keywords, discover profiles, and export account data.
- Threads Replies Scraper: collect public replies and comments for conversation analysis.
Disclaimer
This tool is provided for educational and research purposes. By using this scraper, you acknowledge and agree to the following:
- Platform changes: Meta may update or modify the Threads platform at any time, which could temporarily or permanently affect this tool's functionality. We cannot guarantee uninterrupted service.
- Platform limitations: Available engagement details can vary by post, engagement type, account access, and platform behavior at run time.
- Compliance responsibility: You are solely responsible for ensuring your use complies with all applicable laws, regulations (including GDPR, CCPA, and other data protection laws), and the Threads/Meta Terms of Service.
- Ethical use: Please use this tool responsibly. Do not use extracted data for harassment, spam, unauthorized profiling, or any purpose that violates individuals' privacy or platform policies.
- Data accuracy: Extracted data reflects a point-in-time snapshot and may not be complete or current.
- Session handling: Your session ID is a secret input, so the platform keeps it encrypted with your run and it is not shown in logs or output. It is sent only to Threads, and only while the run is going. Log out of Threads if you want to invalidate it.
- No warranty: The developer assumes no liability for any consequences arising from the use of this tool, including but not limited to account restrictions, data inaccuracies, or legal claims.
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