Threads Scraper
Meta Threads data that returns actual data
What it does
Threads has no public API, so this reads the same data a logged-out visitor sees and returns it as structured JSON. Profile, post, search, and hashtag modes. Full post schema with reposts, replies, hashtags, mentions, external URLs. Cursor-based pagination.
Built in
- ✓ 4 modes: profile, post, search, hashtag
- ✓ Full nested schema with reposts and replies
- ✓ Hashtags, mentions, external URLs extracted
- ✓ Cursor pagination for backfill
- ✓ Empty results are never charged
Guides & tutorials
Best Threads Scrapers Compared (2026): Prices, Success Rates, and What Each One Misses
Eight Threads scrapers on the Apify Store compared with public data: price per 1,000 posts, start fees, run success, ratings, and modes. Including where ours is not the right pick.
Threads Has No Public API in 2026: Here Is How to Get Post and Profile Data Anyway
Every field you can collect from Threads without an API: post text, engagement counts, media, profiles. No login required, from $1 per 1,000 posts, plus a comparison of the scrapers that do it.
Threads vs Twitter/X Data: A Developer Comparison for Social Listening
Twitter/X API access is paid and Threads has no public API. How the two platforms compare as data sources for social listening tools.
Related scrapers
Common questions
Does Threads have a public API? +
No. Meta has not released a public Threads API as of 2025. Profile and post data is accessible via web scraping of the public-facing pages.
What data can I get from Threads without an API? +
Public profile information (username, bio, follower count), post text, like counts, reply counts, timestamps, and media attachments from public accounts.
Does the Threads scraper require a login? +
No. The scraper accesses publicly visible Threads pages without authentication. Private accounts and follower lists require login and are not supported.
What is the output format? +
Structured JSON with one record per post: post ID, text content, like count, reply count, timestamp, media URLs, and author profile data.
Which of the four modes should I use? +
Profile pulls one account timeline, post fetches a single post and its replies, search runs a keyword query, and hashtag follows a tag feed. All four return the same post schema.
How far back can I go? +
As far as the feed exposes. Pagination is cursor based, so a backfill run keeps requesting the next page until the cursor runs out rather than stopping at the first screen.
What is captured beyond the post text? +
Reposts and replies as nested records, plus hashtags, mentions and any external URLs pulled out as their own fields.
Try it on Apify.
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