Threads Search Scraper

Search public Threads posts by keyword or hashtag and export clean data for monitoring, research, trend tracking, and content analysis. No Threads login input is required.

What It Helps You Do

• Monitor public conversations around brands, products, competitors, and campaigns
• Track newer or popular posts for social listening and market research
• Collect engagement fields such as likes, replies, reposts, shares, and public view counts when available
• Export author, profile, media, hashtag, mention, and link fields for analysis

How To Use

1. Enter one or more keywords or hashtags
2. Choose Top / Popular or Recent / Latest first
3. Choose the maximum number of posts per keyword
4. Optionally add a date range
5. Start the Actor and export the results from the dataset

Input Example

{
  "keywords": ["AI", "#startup", "台北 餐廳"],
  "search_filter": "recent",
  "max_posts": 50
}

Date-Bounded Example

{
  "keywords": ["OpenAI"],
  "search_filter": "top",
  "start_date": "2026-01-01",
  "end_date": "2026-02-28",
  "max_posts": 100
}

Input

Field	Description
keywords	Keywords or hashtags to search. The # is optional.
max_posts	Maximum posts per keyword. Actual results depend on public availability at run time.
search_filter	top for popular posts or recent for newer matching public posts first.
start_date	Optional start date. Supports YYYY-MM-DD or relative values such as 7 days.
end_date	Optional end date. YYYY-MM-DD is recommended for clarity.

Output

Each dataset row is a public Threads post when available. Common fields include:

Field	Description
post_url	Direct URL of the Threads post
post_code	Threads post identifier
text_content	Post text
created_at	Post timestamp when available
username	Author username
display_name	Author display name
profile_url	Author profile URL
followers_count	Public follower count when available
bio	Public author bio when available
like_count	Likes when available
reply_count	Replies when available
repost_count	Reposts when available
quote_count	Quotes when available
share_count	Shares when available
view_count	Public views when available
has_media	Whether media is attached
media_type	Media type when available
media_urls	Media URLs when available
hashtags	Hashtags found in the post
mentions	Mentions found in the post
search_keyword	Keyword or hashtag associated with the row
search_filter	Sort order used for the run
keyword_match	Whether the post text directly matches the searched keyword
scraped_at	When the row was collected

Output Example

The example below is illustrative and shows the dataset shape.

{
  "record_type": "post",
  "post_url": "https://www.threads.com/@example/post/ABC123",
  "post_code": "ABC123",
  "text_content": "Example public Threads post about AI research.",
  "created_at": "2026-02-15T08:30:00+00:00",
  "username": "example",
  "display_name": "Example Account",
  "profile_url": "https://www.threads.com/@example",
  "followers_count": 12500,
  "bio": "Public profile bio",
  "like_count": 152,
  "reply_count": 18,
  "repost_count": 7,
  "quote_count": 2,
  "share_count": 4,
  "view_count": 4200,
  "has_media": true,
  "media_type": "photo",
  "media_urls": ["https://scontent.cdninstagram.com/..."],
  "hashtags": ["AI"],
  "mentions": ["openai"],
  "search_keyword": "AI",
  "search_filter": "top",
  "keyword_match": true,
  "scraped_at": "2026-02-18T12:00:00+00:00"
}

Dataset Views

• Posts: post text, URL, date, author, media, and search fields
• Engagement: likes, replies, reposts, quotes, shares, and public views
• Authors: author fields attached to search results
• Bio Links: public author bio links and contact fields when present

Tips

• Use short, focused keywords for broader discovery
• Use recent for monitoring newer public conversations
• Use date filters when you need a specific research window
• Use keyword_match to separate direct text matches from broader related results

Limitations

• Threads can change what it shows publicly over time
• Some public posts may not expose every engagement or author field
• Very new, deleted, private, restricted, or partially available posts may return incomplete fields
• Search ranking may include broadly related posts, not only exact keyword matches
• A keyword can return fewer rows than requested when fewer matching public posts are available

Need Another Threads Workflow?

• Threads Scraper - Posts, Profiles & Search: collect public posts, search keywords, discover profiles, and export account data.
• Threads Replies Scraper: collect public replies and comments for conversation analysis.

FAQ

Does this require a Threads login?

No. The Actor is designed for publicly accessible Threads data and does not require you to provide a Threads account.

Why did I get fewer results than requested?

Result count depends on what is publicly available for the keyword at run time. Try a broader keyword, a different sort order, or a wider date range.

Why are some fields empty?

Some posts and profiles expose only partial public data. Empty fields usually mean the information was not public or not available at collection time.

Are top and recent exact filters?

They reflect the public search ordering available at run time. recent aims to show newer matching public posts first, but some related older posts may still appear.

Disclaimer

Use this Actor responsibly and ensure your usage complies with applicable laws, platform terms, and your organization's policies. Data availability and accuracy may vary over time.

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