Threads Profile Details Scraper
Pricing
$5.99/month + usage
Threads Profile Details Scraper
Extract Threads profile data such as username, bio, followers, profile picture, and verification status. Supports multiple URLs or usernames with clean, structured JSON output. Ideal for analytics, research, and automation workflows.
Pricing
$5.99/month + usage
Rating
0.0
(0)
Developer
Alpha Scraper
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
7 days ago
Last modified
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π Threads Profile Details Scraper
π₯ Extract detailed profile data from Threads profiles instantly! This powerful Apify actor allows you to collect accurate and structured data from one or multiple Threads profiles using profile URLs or usernames.
π π Overview
The Threads Profile Details Scraper is designed to help you gather essential public profile information from Threads accounts in a clean and structured format.
Whether you're doing social media analysis, influencer research, lead generation, or data collection, this tool provides fast and reliable results.
β¨ π Key Features
- π Extract profile data from Threads profiles
- π₯ Supports both profile URLs and usernames
- β‘ Fast and scalable data collection
- π Structured JSON output
- π Automatic duplicate removal
- π§ Smart parsing for accurate data extraction
- π Works with multiple profiles in one run
π― π What Data This Actor Provides
This actor extracts the following Threads profile details:
- π€ Username
- π Profile ID
- π Full name
- πΌ Profile picture URL
- π Bio / Biography
- π Bio link (if available)
- π₯ Follower count
- π Formatted follower count (K/M format)
- βοΈ Verification status
- π Source profile URL
βοΈ π§© Input Configuration
You can provide input in two ways:
1οΈβ£ Start URLs (Recommended)
{"startUrls": [{ "url": "https://www.threads.net/@natgeo" },{ "url": "https://www.threads.net/@zuck" }]}
2οΈβ£ Usernames
{"usernames": ["@natgeo", "zuck"]}
input Example
{"startUrls": [{"url": "https://www.threads.net/@natgeo"},{"url": "https://www.threads.com/@chrislil_gh"}],"usernames": ["@thephinstones","newscientist"]}
π¦ π€ Output Example
[{"source_url": "https://www.threads.net/@natgeo","username": "natgeo","id": "63269174602","pk": "63269174602","bio": "Inspiring the explorer in everyone π","bio_links": "https://on.natgeo.com/instagram","follower_count": 17410465,"follower_count_formatted": "17.4M","profile_pic_url": "https://scontent-dfw5-1.cdninstagram.com/v/t51.2885-19/495966790_17907822633110603_1812524150029509801_n.jpg?stp=dst-jpg_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby40MDAuZXhwZXJpbWVudGFsIn0&_nc_ht=scontent-dfw5-1.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2gHiZUnkjS-fL3k-E1f4-Z_uEVxoqg3jHqEf2AjyxNSnNIaNY0u1w6XJ_fzf1rSDbrU&_nc_ohc=9W7_7xiWayQQ7kNvwEuUt9q&_nc_gid=oD5qLPUQt5OL_syaecZrbw&edm=APs17CUBAAAA&ccb=7-5&oh=00_AfwpfkpNcASmtRhvPS0SZRY57ZD_oD00vwygzzXnGXCuOA&oe=69C3762A&_nc_sid=10d13b","full_name": "National Geographic","is_verified": true},{"source_url": "https://www.threads.com/@chrislil_gh","username": "chrislil_gh","id": "63080379133","pk": "63080379133","bio": "THE CHRISTIAN INFLUENCERπ¬π\nBRAND christmadebrand\nTikTok @chrislilgh #Standup4Jesus\nEmail π§| Chrislilword@gmail.com","bio_links": "https://www.youtube.com/@chrislil","follower_count": 259976,"follower_count_formatted": "260K","profile_pic_url": "https://scontent-mia5-1.cdninstagram.com/v/t51.2885-19/357840279_812328617160422_3735377689147535016_n.jpg?stp=dst-jpg_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby44MjguYzIifQ&_nc_ht=scontent-mia5-1.cdninstagram.com&_nc_cat=102&_nc_oc=Q6cZ2gHyvNYZr9zkjpuOgJx6MbGwfILV1r0oNpu7eBmN40_FdSb35iYdkqJGlLDVe6nKJNs&_nc_ohc=VF2s84PYShAQ7kNvwFWoWi5&_nc_gid=MxkczlhJFsuN2mz5k_cjFA&edm=APs17CUBAAAA&ccb=7-5&oh=00_AfwK5XdshJlwn7vMwD8oZTGj910LANWbGYJ9qA7uhemFtw&oe=69C35358&_nc_sid=10d13b","full_name": "β πππ₯ππ¦πππ η","is_verified": false},{"source_url": "https://www.threads.net/@thephinstones","username": "thephinstones","id": "63304569926","pk": "63304569926","bio": "This is the official Phinstones because unfortunately the one got hacked.","bio_links": "https://linktr.ee/Dan261980","follower_count": 10129,"follower_count_formatted": "10.1K","profile_pic_url": "https://scontent-mia3-2.cdninstagram.com/v/t51.2885-19/341032475_763914468597701_4149011752261259746_n.jpg?stp=dst-jpg_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-mia3-2.cdninstagram.com&_nc_cat=105&_nc_oc=Q6cZ2gFIj7zY8J2LLWrNJ9xkj9JPlgvszp5lg44ifeGb9p3pvnjMIHLMlvcc1xWIHLbPzbE&_nc_ohc=3qjYVC7spIgQ7kNvwG3DoX9&_nc_gid=KAaYu9snhkzY-UPzbp4l0g&edm=APs17CUBAAAA&ccb=7-5&oh=00_AfzoXz-pCCJziJ8XaSTz7sNm2auWgom_uCeNAp8XZhvtvg&oe=69C35884&_nc_sid=10d13b","full_name": "Phinstonesπ¬π¬π¬ (Daniel Berke)","is_verified": true},{"source_url": "https://www.threads.net/@newscientist","username": "newscientist","id": "63264847448","pk": "63264847448","bio": "The best place to find out what's new in science, and why it matters","bio_links": "https://linkin.bio/newscientist","follower_count": 289516,"follower_count_formatted": "289.5K","profile_pic_url": "https://scontent-lax7-1.cdninstagram.com/v/t51.2885-19/358182929_1447438142684089_2355401858564851141_n.jpg?stp=dst-jpg_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby40MDAuYzIifQ&_nc_ht=scontent-lax7-1.cdninstagram.com&_nc_cat=101&_nc_oc=Q6cZ2gEbEyH4DJj6av5D90Dm_SAQms4jYHkUwBwMBkOr-NfCtcv2XXLxSMrFzxWDYebyjik&_nc_ohc=l9mqA7Qef6oQ7kNvwEUEhf7&_nc_gid=DzvdaytuoRRhPmvgsxgLRg&edm=APs17CUBAAAA&ccb=7-5&oh=00_AfwAFTeoSYoPkIAtTzWKWtTRT9hNic6j2i2inX3zd1LzGA&oe=69C3655D&_nc_sid=10d13b","full_name": "New Scientist","is_verified": true}]
π§Ύ π Output Fields Explained
| Field | Description |
|---|---|
source_url | Original Threads profile URL |
username | Profile username/handle |
id | Unique profile identifier |
pk | Same as ID (internal reference) |
bio | User biography text |
bio_links | External link in bio (if available) |
follower_count | Total number of followers |
follower_count_formatted | Short format (e.g., 4.4M, 100K) |
profile_pic_url | Profile image URL |
full_name | Display name of the user |
is_verified | Verification status (true/false) |
π‘ Tip:
You can use both fields together for maximum flexibility.
π οΈ β‘ How It Works (High-Level)
- π₯ Accepts profile URLs or usernames
- π Converts usernames into profile URLs
- π Removes duplicate entries
- π Visits each profile
- π Extracts structured profile data
- π€ Returns results in JSON format
π πΌ Use Cases
- π Social media analytics
- π§βπΌ Influencer research
- π Growth tracking
- π§² Lead generation
- π§ Market research
- π’ Brand monitoring
π π‘ Benefits & Advantages
- β‘ Fast and efficient scraping
- π― Accurate profile data extraction
- π Bulk processing support
- π§Ύ Clean and structured output
- π§ Easy to integrate with other tools
- π Reduces manual data collection effort
π§ π Best Practices
- β Use valid Threads profile URLs
- β Keep input clean (avoid duplicates)
- β Use usernames without extra spaces
- β Run in batches for large datasets
- β Verify profile accessibility before running
β οΈ π¨ Possible Errors & How to Avoid Them
β Invalid URL Format
- βοΈ Use correct format:
https://www.threads.net/@username
β Empty Input
- βοΈ Provide at least one URL or username
β Profile Not Found
- βοΈ Ensure the profile exists and is public
β Timeout Issues
- βοΈ Retry with fewer profiles per run
β Missing Data Fields
- βοΈ Some profiles may not have all fields (e.g., bio links)
π π Keywords:
Threads scraper, Threads profile scraper, Threads data extractor, Threads API alternative, Threads follower count scraper, Threads bio scraper, Threads profile data API, Apify Threads scraper, Threads username scraper
π§Ύ π’ Short Description :
Extract Threads profile data including username, bio, followers, profile picture, and verification status. Supports bulk URLs and usernames with structured JSON output. Perfect for analytics, research, and automation using this powerful Threads scraper.
π β Conclusion
The Threads Profile Details Scraper is a powerful and efficient solution for extracting profile-level data from Threads. With flexible input options, clean output, and scalable performance, itβs ideal for developers, marketers, and data analysts.
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