Meta Threads Scraper - User Posts & Hashtag Search

Extract comprehensive Threads data including posts, profiles, engagement metrics (likes, comments, reposts, shares, views), and contact information from bios. Search by hashtag/tag or username. Perfect for social media monitoring, influencer outreach, and competitive analysis. No login required. Export to JSON/CSV/Excel.

Note: This is an experimental tool. Website structure may occasionally change, which could affect data extraction. Please test with small batches before large-scale use. Report any issues through the Issues section. Thank you!

What Data Can You Get?

User Profile Information

• Username and display name
• Bio/description (full text)
• Profile picture URL
• Follower count (accurate numbers)
• Verification status
• Profile URL
• Contact information: emails, phone numbers, and website links extracted from bio
• External profile links

Post Content

• Text content
• Post creation time
• Post URL and unique code
• Engagement metrics: likes, comments, reposts, shares, and views
• Media attachments (images/videos)
• Hashtags used
• User mentions (@username format)
• External links

Use Cases

• Social Media Monitoring: Track brand mentions and conversations
• Influencer Discovery: Find content creators with follower metrics
• Competitor Research: Monitor competitor activity and engagement
• Content Analysis: Analyze trending topics and hashtags
• Lead Generation: Discover profiles in your niche
• Market Research: Understand audience sentiment

How to Use

Input Configuration

Parameter	Type	Description	Example
mode	string	Scraping mode: user or keyword	"user"
usernames	array	Target usernames (for user mode, without @, max 20)	["zuck", "nike"]
keywords	array	Hashtags/tags to search (for keyword mode, max 20)	["AI", "tech"]
search_filter	string	How to sort results (keyword mode only): default (trending), recent (newer), or latest (freshest)	"recent"
max_posts	number	Maximum posts to scrape per user or per hashtag (10-30)	20

Mode 1: Scrape User Posts (with Profile Data)

Extract posts and complete profile information from a specific user:

{
  "mode": "user",
  "usernames": ["zuck"],
  "max_posts": 20
}

Batch Scraping Multiple Users

Scrape posts from multiple users in one run (up to 20):

{
  "mode": "user",
  "usernames": ["zuck", "instagram", "nike"],
  "max_posts": 20
}

This returns:

• Each user's bio and follower count
• Contact information extracted from bio (emails, phones, links)
• All recent posts with engagement metrics (likes, comments, reposts, shares, views)
• Profile verification status
• Media attachments
• Mentions and hashtags

Mode 2: Search Posts by Hashtag/Tag

Discover posts under popular Threads hashtags.

Best for: Popular hashtags with active communities. Works great with tags like AI, tech, fashion, etc.

Tip: You can include or omit the # symbol - both AI and #AI will work the same way.

Understanding Search Filters

Filter	Best For	What You Get
Popular	Discovering viral content	Trending posts with high engagement
Recent	Catching up on discussions	Newer posts from the past few days
Latest	Real-time monitoring	The freshest posts available (may return fewer results)

Popular/Trending Posts

{
  "mode": "keyword",
  "keywords": ["artificial intelligence"],
  "search_filter": "default",
  "max_posts": 20
}

Recent Posts

{
  "mode": "keyword",
  "keywords": ["AI"],
  "search_filter": "recent",
  "max_posts": 20
}

Batch Search Multiple Hashtags

Search multiple hashtags in one run (up to 20):

{
  "mode": "keyword",
  "keywords": ["AI", "tech", "#startup"],
  "search_filter": "default",
  "max_posts": 20
}

Output Format

Viewing Your Data

1. Dataset View: Click "Preview" to see scraped posts
2. All Fields: Switch to "All fields" view to see complete data including:
   • Full user profile information
   • Complete mentions array
   • Media metadata
   • Additional extracted fields

Sample Dataset Output

Each post is saved as a separate record. Below is an example from user mode:

{
  "post_url": "https://www.threads.com/@zuck/post/DTa3-B1EbTp",
  "post_code": "DTa3-B1EbTp",
  "text_content": "we're establishing a new top-level initiative called Meta Compute...",
  "created_at": "2026-01-12T18:00:30+00:00",
  "like_count": 2684,
  "comment_count": 810,
  "repost_count": 129,
  "share_count": 221,
  "view_count": 416512,
  "has_media": false,
  "media_items": [],
  "hashtags": [],
  "mentions": [],
  "urls": [],
  "created_at_timestamp": 1768240830,
  "scraped_at": "2026-02-17T17:33:57.758668+00:00",
  "username": "zuck",
  "display_name": "Mark Zuckerberg",
  "profile_url": "https://www.threads.com/@zuck",
  "is_verified": true,
  "followers_count": 5443607,
  "bio": "Mostly superintelligence and MMA takes",
  "profile_pic_url": "https://...",
  "external_links": [],
  "emails": [],
  "phones": [],
  "bio_links": []
}

Hashtag search mode results include author profile data inline plus two additional fields: search_keyword (the searched hashtag) and search_filter (the filter used).

Example Use Cases

1. Competitor Analysis with Engagement Metrics

{
  "mode": "user",
  "usernames": ["competitor_brand_a", "competitor_brand_b"],
  "max_posts": 30
}

Extract profiles and recent posts with engagement metrics (likes, comments, reposts, shares, views) from multiple competitors for cross-comparison analysis.

2. Hashtag Monitoring

{
  "mode": "keyword",
  "keywords": ["#YourBrand", "#CompetitorBrand"],
  "search_filter": "recent",
  "max_posts": 30
}

Track mentions and conversations across multiple brands with engagement data.

3. Content Research

{
  "mode": "keyword",
  "keywords": ["AI tools", "machine learning"],
  "search_filter": "default",
  "max_posts": 20
}

Find trending content in your field with engagement metrics to understand what performs well.

Limitations

Batch Limits:

• Up to 20 usernames or 20 hashtags per run
• Maximum 30 posts per user or per hashtag

Actual Results:

• Threads uses dynamic loading; actual retrievable posts are typically 10-30
• User posts: quantity varies by account activity; more active accounts tend to have more loadable posts
• Hashtag search: limited by Threads' tag page algorithm; actual results may be fewer than the set limit

Search Relevance:

• Threads' tag page prioritizes engagement and user preferences over pure tag matching
• "Popular" mode may include content indirectly related to the hashtag
• For more precise results, use "Latest" mode or more specific hashtags

Execution Time Reference:

• 1 user x 20 posts: ~1 minute
• 5 users x 20 posts: ~6 minutes
• 1 hashtag x 20 posts: ~3-5 minutes
• 5 hashtags x 20 posts: ~10-15 minutes

FAQ

Q: What engagement metrics can I get? A: The scraper extracts likes, comments, reposts, shares, and views for each post to help you analyze content performance.

Q: How does contact information extraction work? A: The scraper automatically extracts emails, phone numbers, and website links from user bio text. This helps with influencer outreach and lead generation.

Q: How do I see all available data fields? A: In the Apify console, switch from "Preview" to "All fields" view to see the complete extracted data including emails, phones, bio_links, engagement metrics, and view counts.

Q: Does it support batch scraping of multiple users or hashtags? A: Yes! You can enter up to 20 usernames or 20 hashtags in a single run. The scraper processes each item sequentially and combines results into the same dataset.

Q: Are usernames with dots supported? A: Yes! Usernames like @user.name are fully supported.

Q: Why do search results seem unrelated to the hashtag? A: Threads' tag page prioritizes engagement and user preferences over pure tag matching. Try: (1) using "Latest" mode for more precise results; (2) using more specific hashtags (e.g., "#AItech" instead of "tech").

Q: Why do I get fewer results than my max_posts limit? A: Threads limits the amount of content accessible through its interface. The actual number of available posts varies based on several factors including account activity and content type.

Alternative: Threads API

Important: This scraper operates without login, meaning the accessible data is limited by Threads' public interface.

If you need to scrape data from your own account, consider using the official Threads API instead:

• More reliable and stable
• Higher rate limits
• Access to full post history
• No risk of being blocked
• Official support from Meta

The Threads API is the recommended approach for accessing your own account data or when you need large-scale, production-grade data extraction.

Disclaimer

This tool is for educational and research purposes only. Please use responsibly and respect Threads' terms of service.

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