Threads Scraper: The All-in-One Data Engine for Meta Threads

Unlock deep market insights with a unified scraper. No login, no tokens, and no official API restrictions.

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🔥 Why This Scraper?

• Zero Authentication: Skip the OAuth setup and Facebook Developer accounts. No login or API tokens required.
• Unified Actor: 5 modes in one codebase. Simplify your tech stack and reduce integration maintenance.
• Massive Scalability: Bulk-paste up to 100 usernames or keywords. Perfect for tracking large KOL lists.
• Workflow-Ready: Built-in support for relative dates (e.g., "7 days") makes it easy to schedule recurring runs in n8n, Zapier, or Make.
• Clean, Merged Data: Multi-segment thread posts are automatically stitched into a single record (threadParts[]) for better readability.
• Cost-Efficient: Flat $0.005 per result with no start fees and smart auto-stop to prevent wasted credits.

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What this scraper extracts

For every post:

• postId, postUrl, content, publishedAt, publishedAtISO
• mediaType (text / photo / video / carousel) and mediaUrls[]
• Engagement: likeCount, replyCount, repostCount, shareCount, quoteCount (viewCount is present in the output but always 0 — Threads does not serve view counts to logged-out clients)
• sourceType (which mode produced it) and sourceQuery (the exact username / keyword / URL)
• scrapedAt timestamp
• threadParts[] — multi-segment thread posts are merged automatically, each segment preserved

For the author:

• author handle

Replies: replies[] is always an empty array — Threads does not serve replies to logged-out clients (see notes).

Dataset field keys are English across every locale — downstream tooling stays portable.

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Five modes, one actor (four available) (four available) (four available)

Mode	What it does	Input field
👤 User	Scrape all posts from a user's profile	usernames[]
🏷️ Hashtag	Scrape a hashtag / topic page (~50-70 posts per keyword)	keywords[]
🔎 Search	Keyword search with Top / Recent sort (~50-70 posts per keyword)	keywords[] + searchSort
💬 Post	Single post (no replies — see notes)	postUrls[]
📰 Feed	Unavailable — Threads serves feeds only to logged-in clients	—

Pick one mode per run from the Mode dropdown. Competing scrapers split these into 4–5 separate actors — this one keeps them in a single codebase so your integration stays simple.

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Inputs

Field	Type	Required	Default	Description
mode	enum	recommended	user	One of user, hashtag, search, post (feed fails the run with a clear message). If omitted, auto-detected from whichever field you fill.
usernames	string[]	for user mode	—	Plain usernames, no @, no URL. Batch up to 100.
bulkUsernames	string	optional	—	Textarea — paste one username per line (copy a spreadsheet column straight in). Merged into usernames.
keywords	string[]	for hashtag / search	—	Keywords or hashtags (leading # optional). Batch up to 100.
bulkKeywords	string	optional	—	Textarea paste for keywords. Merged into keywords.
postUrls	string[]	for post mode	—	Full Threads post URLs (replies are not included).
searchSort	enum	optional	top	top or recent. Only applies to search mode.
dateFrom	string	optional	—	YYYY-MM-DD or relative: 7 days, 1 month, 2 weeks, 1 year.
dateTo	string	optional	—	Same format as dateFrom.
maxPosts	integer	optional	50	Max posts per source, 1–500. Scrolling is auto-managed — no knob to tune.

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Usage examples

👤 Scrape three user profiles

{
  "mode": "user",
  "usernames": ["zuck", "mosseri", "finkd"],
  "maxPosts": 50
}

🏷️ Scrape a hashtag across the last month

{
  "mode": "hashtag",
  "keywords": ["#AINews"],
  "dateFrom": "1 month",
  "maxPosts": 200
}

🔎 Keyword search, most recent posts from the last 7 days

{
  "mode": "search",
  "keywords": ["LLM agents", "vibe coding"],
  "searchSort": "recent",
  "dateFrom": "7 days",
  "maxPosts": 100
}

💬 Single post

{
  "mode": "post",
  "postUrls": ["https://www.threads.com/@zuck/post/ABC123"]
}

📋 Bulk paste — 80 KOL accounts from a spreadsheet

Copy a column straight from Google Sheets / Excel and paste into bulkUsernames — no clicking "Add" 80 times.

Console form format: one username per line, press Enter between each — no quotes, no commas. Like this:

zuck
mosseri
finkd
threadsapp
taylornikolai

If you're calling the API instead of using the Console, bulkUsernames is a single string with \n as the line separator:

{
  "mode": "user",
  "bulkUsernames": "zuck\nmosseri\nfinkd\nthreadsapp\ntaylornikolai",
  "maxPosts": 20
}

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Notes and caveats

• maxPosts is a ceiling, not a guarantee. Inactive profiles or niche hashtags may return fewer posts. The scraper stops early after 5 consecutive stale scrolls instead of burning time.
• Relative dates are evaluated at run time. "7 days" today and tomorrow produce different absolute dates — useful for scheduled runs that always fetch "the past week".
• Engagement counts can be approximations. Threads abbreviates large numbers (e.g. 12.5K) — the actor normalizes these to integers, so 12500 is the converted value, not an exact count.
• Replies are not available. post mode reads the public embed card, which carries the post only; replies[] is empty. Search and hashtag return the first results page only (~50-70 posts per keyword, merged from several query forms) — give several related keywords for more breadth. Custom feed mode is unavailable because it needs a login.
• No login = public data only. Private accounts and follower-only content are not accessible.
• Thread chains are merged automatically. Multi-segment posts (1/, 2/, 3/) are combined into a single record via threadParts[] instead of being stored as separate rows.

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FAQ

Q: How do I pass usernames? With @ or without, full URL or plain? Plain is canonical: zuck, not @zuck or https://www.threads.com/@zuck. Leading @ is stripped automatically, and the legacy profileUrls field from v0.3 is auto-migrated — existing API integrations won't break.

Q: I got a partial result — fewer posts than maxPosts. Why? Either the profile genuinely has fewer posts, the hashtag is niche, or Threads' feed stopped yielding new items after repeated scrolls. Check totalItems in the run log — that's the true count.

Q: Some fields are null or 0. Bug? viewCount is always 0, regardless of account size. Threads does not serve view counts to logged-out visitors, and running logged-out is exactly how this scraper works — so that field never carries a value. quoteCount genuinely varies by post type. Neither is a silent failure: the fields are always present, just empty.

Q: Does dateFrom / dateTo apply to user and post modes? Date filtering runs on every mode, but it only matters for search, hashtag and user — post mode scrapes specific known URLs regardless of date. Relative expressions like "1 month" are resolved to absolute YYYY-MM-DD before filtering.

Q: What output formats are supported? JSON, CSV, Excel, XML, HTML table — standard Apify dataset exports. Available via the Apify Console, the dataset API, or the Apify client libraries (Python, JavaScript). Also integrates with Zapier, Make, n8n, and Google Sheets.

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Alternative: the official Threads API

Meta publishes an official Threads API, but it has hard constraints for public-data use cases:

• Only reads data from accounts you own or that have granted access — no competitor monitoring, no trend research, no hashtag scraping
• Requires OAuth setup, app review for publishing tools, and a Facebook Developer account
• Rate limits and endpoint coverage are narrower than what's visible to a logged-out browser

For market research, social listening, trend analysis, and competitive intelligence on public Threads data, this actor is a simpler path. For posting, managing your own account, or building automation on authorized accounts, use Meta's official API.

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Disclaimer

This scraper only collects publicly visible Threads data. It does not access private accounts, bypass authentication, or extract personal information beyond what a logged-out visitor can see. Users are responsible for ensuring their use case complies with applicable law (GDPR, CCPA, local data protection regulations) and Meta's Terms of Service. Use the tool for legitimate research, monitoring, and analytics — not for spam, harassment, or unauthorized data resale.

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