Threads Liker Scraper

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)
• Account privacy status (when available from the platform)
• Engagement timestamp (when they interacted with the post)
• Quote text (for quote-type engagement)
• Total engagement count for that type on the post

How to use

1. Get your session ID

You need a valid Threads session cookie to access engagement data. Here's how to get it:

1. Open threads.net in your browser and log in
2. Open Developer Tools (F12 or Cmd+Option+I)
3. Go to Application → Cookies → https://www.threads.net
4. Find the cookie named sessionid
5. Copy its Value — that's your session ID

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/@instagram/post/ABC123"
    ],
    "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": 2747,
    "engagement_type": "like",
    "username": "dog_113087",
    "user_id": "77633463305",
    "display_name": "狗辰",
    "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,
    "timestamp": "2026-02-12T13:12:54+00:00",
    "extracted_at": "2026-03-09T07:03:35+00:00"
}

Quote record

{
    "post_url": "https://www.threads.net/@zuck/post/DTa3-B1EbTp",
    "post_id": "3808602590024938729",
    "total_count": 42,
    "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": false,
    "quote_text": "Great insights from Zuck on this topic!",
    "timestamp": "2026-02-10T08:30:00+00:00",
    "extracted_at": "2026-03-09T07:03:35+00:00"
}

Output fields

Field	Type	Description
post_url	string	Source Threads post URL
post_id	string	Numeric post identifier
total_count	integer	Total count for this engagement type on the post
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 (null when not available)
quote_text	string or null	Quote content (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

How many users can I get per post? The Threads platform returns up to approximately 100 of the most recent users per engagement type per post. This is a platform-level limitation that applies to all access methods. The total_count field shows the actual total so you always know the full count.

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_text field 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. A valid session cookie is required to access engagement data. The scraper does not store your credentials — the session is used only during the run.

Can I access engagement from private accounts? You can only access engagement for posts that are visible to your logged-in account.

What does is_private: null mean? The platform does not always return privacy status for every user. When unavailable, this field is null.

What if my session expires? If you see authentication errors, get a fresh session ID from your browser. Session validity depends on your account activity.

Can I process multiple posts at once? Yes. You can provide up to 50 post URLs. They are processed concurrently.

What happens if a run is interrupted? The scraper saves progress automatically. If a run is interrupted (e.g., platform migration), it resumes from where it left off on the next run.

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

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: The platform returns up to approximately 100 most recent users per engagement type per post. The total_count field shows the actual platform total for full transparency.
• 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: Session cookies are used only during the scraper run and are not stored or transmitted beyond the Threads platform.
• 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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