Threads Scraper — Posts, Search & Profiles (No Login)

Scrape Threads (Meta) posts from profiles, keyword search and post threads — without logging in, without a browser, and without an API key of your own.

Every row is normalized, de-duplicated and carries provenance, so you can drop it straight into a spreadsheet, database, dashboard or LLM pipeline.

What you get

• Profile posts — give one or many usernames (zuck, @threads, or a full profile URL) and get their recent posts.
• Keyword / hashtag search — search the Threads firehose by term ("ai agents", "#buildinpublic"), sorted by top or recent.
• Post threads — give a post URL and get the post plus its reply thread.
• Rich, normalized fields — text, hashtags, mentions, engagement counts, media, language, author details and timestamps.

Output fields

Field	Description
post_id / strong_id / code	Threads post identifiers
url	Canonical post URL
author_username / author_full_name / author_id	Post author
author_is_verified / author_followers_count / author_biography	Author metadata (followers/bio on profile scrapes)
text	Full post text (links and @mentions reconstructed)
language	Detected language
created_at / created_at_epoch	ISO-8601 UTC + epoch of posting time
like_count / reply_count / repost_count / quote_count / reshare_count	Engagement metrics
is_reply / is_ghost_post / is_paid_partnership / audience	Post flags
media_type / image_url / video_url / carousel_media	Media (image, video, carousel)
hashtags / mentions	Extracted tags and handles
source_type / source_input / source_url / position	Provenance
schema_version / fetched_at	Provenance

Use cases

• Social listening & brand monitoring — track mentions, hashtags and competitor accounts.
• Trend & topic research — quantify what's being said, by whom, and how it resonates.
• Influencer & creator discovery — find active creators by vertical and engagement.
• AI / LLM datasets — clean, structured text for fine-tuning and RAG.
• Lead generation — surface accounts talking about your category.

Input

{
  "profiles": ["zuck", "@threads"],
  "searchQueries": ["ai agents", "#buildinpublic"],
  "postUrls": ["https://www.threads.com/@zuck/post/DPzQH1TjXoZ"],
  "searchType": "top",
  "excludeReplies": false,
  "maxItemsPerInput": 1000
}

All inputs are optional — mix and match. At least one profile, query or post URL is recommended.

Pricing

Pay per result. You are charged only for the posts delivered to your dataset (plus a small per-run fee). No subscription, no minimum.

Notes

• Fast: no headless browser is launched — data is parsed from the server-rendered responses.
• De-duplicated across all inputs in a run, and optionally incremental (onlyNewPosts) so repeated runs only return new posts.
• Intended for research, monitoring and analytics. You are responsible for using it in compliance with Meta's terms and applicable laws.

Sample output

{"author_username": "zuck", "text": "Introducing Muse Wonder...", "like_count": 1978, "reply_count": 337, "repost_count": 154, "created_at": "2026-10-12T16:56:29+00:00", "url": "https://www.threads.com/@zuck/post/DeZtp-TkQHh"}

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