🧵 Threads Scraper

Search Meta's Threads by profile, keyword or post URL — 39 data points per post. No login, no account, no API key.

Threads is where a lot of the conversation moved, and it has no public API. This actor gives you the structured version: full engagement counts, the author's profile, who is @mentioned, which links are shared, and the reply chain that connects a post to the conversation it belongs to.

⚡ Fast	Direct requests, no browser. Results land in seconds.
🔍 3 ways in	By profile, by keyword search, or by a single post URL with its replies.
🏷 Mentions & links	@accounts and shared URLs come out parsed into their own fields — no regex on your side.
💬 Conversation aware	replyToUsername and rootPostUsername reconstruct who is answering whom.
📊 Full engagement	Likes, replies, reposts, quotes and reshares on every post.
🔓 No credentials	Nothing to sign up for, no cookies to paste.

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What data does it extract?

🧵 Posts

Core: id, code, url, text, createdAt, queryContext

Engagement: likeCount, replyCount, repostCount, quoteCount, reshareCount

Author: authorUsername, authorFullName, authorIsVerified, authorProfilePicUrl, authorId

Mentions & links: mentions (every @account named in the post), links (every URL shared, with its display text), linkPreviewUrl, linkPreviewTitle, linkPreviewDomain

Conversation: isReply, replyToUsername, rootPostUsername, replyControl, isLikedByRootAuthor, isPinnedToProfile

Media: mediaType, mediaTypeLabel, mediaUrls, mediaWidth, mediaHeight, hasAudio

Signals: detectedLanguage, isEdited, isPaidPartnership, fbid

👤 Profiles

username, fullName, biography, followerCount, isVerified, isPrivate, bioLinks, profileTags, profilePicUrl

Profile mode returns the account summary and its recent posts in a single run.

Fields tied to a condition are null when that condition doesn't apply — replyToUsername is empty on a top-level post, linkPreviewTitle on a post that shares no link. Nothing is guessed.

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Three ways to pull data

Mode	What you give it	What you get
👤 Profile	usernames (no @)	Each account's profile + its recent posts
🔍 Search	keywords	Posts matching the keyword across Threads
💬 Post	post URLs	That post plus its visible reply thread

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Who uses this, and for what

Who	What they run it for
👂 Social listening teams	Track brand, product or topic mentions as they happen
📊 Competitor analysts	Monitor a rival's posting cadence and what actually gets engagement
📈 Trend researchers	Measure real-time volume and tone around any keyword
🤝 Influencer marketers	Find who mentions whom, and spot paid partnerships
📰 Journalists & OSINT	Capture a full reply thread with its conversation structure
🤖 AI & dataset builders	Collect labelled social text with engagement signals attached

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Quick start — copy an input and run

One account's recent posts (fastest, good first run)

{ "dataType": "profile", "usernames": ["zuck"], "maxResultsPerQuery": 25 }

Track a topic by keyword

{ "dataType": "search", "searchQueries": ["artificial intelligence"], "maxResultsPerQuery": 50 }

Several competitors at once

{
  "dataType": "profile",
  "usernames": ["zuck", "mosseri"],
  "maxResultsPerQuery": 50
}

A full reply thread on one post

{ "dataType": "post", "postUrls": ["https://www.threads.net/@zuck/post/DakyAavlKLZ"] }

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How to use

1. Pick a Data type: profile, search or post.
2. Fill the matching field — usernames (without the @), search queries, or post URLs.
3. Set max results per profile/search. Post mode always returns the full visible thread.
4. Run. Profile mode returns the profile summary plus posts, replies and media in one pass.

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Output example

{
  "recordType": "post",
  "id": "3937491905269768921",
  "url": "https://www.threads.net/@zuck/post/DakyAavlKLZ",
  "text": "Today we're releasing a new model...",
  "createdAt": "2026-07-09T14:00:34+00:00",
  "likeCount": 2766,
  "replyCount": 612,
  "repostCount": 189,
  "quoteCount": 62,
  "mentions": ["alexanddeer"],
  "links": [
    { "url": "http://meta.com/thefutureisforeveryone", "displayText": "meta.com/thefu…" }
  ],
  "linkPreviewTitle": "The Future is for Everyone",
  "linkPreviewDomain": "meta.com",
  "replyToUsername": null,
  "replyControl": "everyone",
  "authorUsername": "zuck",
  "authorFullName": "Mark Zuckerberg",
  "authorIsVerified": true,
  "detectedLanguage": "en",
  "isEdited": false
}

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Performance & cost

Runs on direct requests with no browser, so a profile or keyword pull finishes in seconds and stays cheap.

Pricing

Pay per result — you are charged per record returned, and nothing else. See the price on the actor page.

FAQ

Do I need a Threads or Instagram account? No. The actor reads public Threads data — no login, no cookies, no API key.

Can I get posts from a private account? No. Private accounts are not public data and are not returned.

How do I find who a post is replying to? replyToUsername gives the account being answered, and rootPostUsername the author who started the thread. Both are null on top-level posts.

Are hashtags and mentions separated from the text? Mentions are, in the mentions array, along with shared URLs in links. The full original text is always kept in text.

Keywords

threads scraper, threads api, threads posts scraper, meta threads data, threads search scraper, social media scraper, threads engagement data, threads reply scraper, social listening tool, threads mentions tracker

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Disclaimer

This actor collects only publicly available post data from Threads. Use the data in compliance with the applicable terms and with data-protection laws in your jurisdiction.

Changelog

Version	Date	Changes
1.1	2026-08-18	Added 16 fields: @mentions, shared links with preview cards, reply-chain context (who a post answers and who started the thread), language detection, edit flag and media dimensions.
1.0	2026-07-14	Initial release — profile posts, search, and post threads with full engagement data