Threads Profile Scraper - Followers, Bio & Engagement

🧵 Threads Profile Scraper

🚀 Export Threads profiles in seconds. Paste usernames and get back 21 columns per profile: exact follower count, bio, bio links, topics, total thread count, the latest 15 threads with 16 fields each, and an engagement rate computed from them. No login, no cookies, no Threads account.

This Actor reads the public profile pages of Threads, the text app from Meta, the same pages any logged-out visitor can open at threads.com. It collects the profile card (name, verification, privacy, followers, bio, links and the topic tags a creator picked) and the latest threads on the profile, then turns those threads into averages you can compare across accounts: likes, replies and reposts per thread, and an engagement rate against the follower count.

In a cloud test run, 5 profiles (NASA, National Geographic, Mark Zuckerberg, Nike, Netflix US) came back in 9 seconds on 512 MB without a proxy, each with 15 threads. Usernames, @handles and threads.com or threads.net profile URLs are all accepted and deduplicated.

🎯 Target Audience	💡 Primary Use Cases
Influencer marketing teams	Vet creators by real engagement rate, not just follower count
Social media managers	Benchmark your brand's Threads account against competitors
Agencies	Build monthly Threads reports for many clients in one run
Sales and lead generation	Enrich lead lists with Threads audience size and bio links
Researchers and journalists	Track public figures' posting activity and audience growth
AI agents and automation builders	Feed clean profile data into LLM pipelines, n8n or Make

📋 What the Threads Profile Scraper does

1. Takes your list of usernames or profile URLs and normalises them (@nasa, nasa and https://www.threads.net/@nasa are the same profile).
2. Opens each public Threads profile page and reads the profile card: user ID, name, username, verified badge, private flag, exact follower count, bio, bio links and profile topics.
3. Reads the total number of threads the profile has posted.
4. Collects the latest threads shown on the profile (up to 15), each with text, date, media type, image and video links, and like, reply, repost, quote and share counts, plus pinned and reply flags.
5. Computes average likes, replies and reposts per thread, the engagement rate as a percentage of followers, and the date of the newest thread.
6. Emits one row per profile. Accounts that do not exist, or that Threads does not show to logged-out visitors, come back as free rows with the reason.

💡 Why it matters: follower counts alone hide whether an audience is alive. Two accounts with 5 million followers can differ tenfold in how many people actually react to each thread. This Actor puts audience size and real engagement on the same row, so a creator shortlist sorts itself.

🎬 Full Demo (🚧 Coming soon)

📊 Output

Each dataset row is one Threads profile. 21 columns per row, plus 16 fields for every thread in latestPosts.

Field	Type	Description
🖼 imageUrl	string	Profile picture in the highest resolution Threads serves (up to 640 px)
👤 username	string	Threads username
📛 fullName	string	Display name
🔗 url	string	Profile URL
🆔 id	string	Numeric Threads user ID
✔️ isVerified	string	Yes when the profile has the verified badge
🔒 isPrivate	string	Yes when the Threads profile is private
👥 followerCount	number	Exact follower count
🧵 threadsCount	number	Total threads posted (Threads rounds this above 1,000, for example 1,600)
📝 biography	string	Bio text
🌐 bioLinks	array	Links in the bio
🏷 profileTags	array	Topics the creator added to the profile
🕓 latestPostAt	string	Date of the newest thread on the profile
🔢 latestPostsCount	number	Threads used for the averages (up to 15)
❤️ avgLikes	number	Average likes per thread
💬 avgReplies	number	Average replies per thread
🔁 avgReposts	number	Average reposts per thread
📈 engagementRatePct	number	Average likes, replies, reposts and quotes per thread, as a % of followers
🗂 latestPosts	array	The latest threads: imageUrl, id, code, url, text, postedAt, mediaType, likeCount, replyCount, repostCount, quoteCount, shareCount, isPinned, isReply, videoUrl, carouselCount
🕒 scrapedAt	string	When the row was collected
❌ error	string	Populated only on rows without data

Real sample records

From the cloud test run. Image links are shortened and latestPosts is trimmed to the first of its 15 threads here.

{
  "imageUrl": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-19/...",
  "username": "nasa",
  "fullName": "NASA",
  "url": "https://www.threads.com/@nasa",
  "id": "28829152388",
  "isVerified": "Yes",
  "isPrivate": "No",
  "followerCount": 12740434,
  "threadsCount": 136,
  "biography": "Making the seemingly impossible, possible. ✨",
  "bioLinks": [],
  "profileTags": ["NASA", "Space Threads", "Science Threads"],
  "latestPostAt": "2026-09-22T17:57:59.000Z",
  "latestPostsCount": 15,
  "avgLikes": 14284,
  "avgReplies": 120,
  "avgReposts": 972,
  "engagementRatePct": 0.121,
  "latestPosts": [
    {
      "imageUrl": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-15/...",
      "id": "3991969585838706926",
      "code": "DdmUzAeFFDu",
      "url": "https://www.threads.com/@nasa/post/DdmUzAeFFDu",
      "text": "Happy equinox, Earthlings! 🍂\n\nSept. 22 marks the the first day of fall in the Northern Hemisphere. From now until the beginning of spring, nighttime hours will last longer than daylight as the Sun travels a shorter arc across the sky each day.",
      "postedAt": "2026-09-22T17:57:59.000Z",
      "mediaType": "Image",
      "likeCount": 2451,
      "replyCount": 49,
      "repostCount": 156,
      "quoteCount": 15,
      "shareCount": 20,
      "isPinned": "No",
      "isReply": "No",
      "videoUrl": "N/A",
      "carouselCount": 0
    }
  ],
  "scrapedAt": "2026-09-24T19:13:35.851Z",
  "error": null
}

{
  "imageUrl": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-19/...",
  "username": "zuck",
  "fullName": "Mark Zuckerberg",
  "url": "https://www.threads.com/@zuck",
  "id": "63055343223",
  "isVerified": "Yes",
  "isPrivate": "No",
  "followerCount": 5743681,
  "threadsCount": 166,
  "biography": "Mostly superintelligence and MMA takes",
  "bioLinks": [],
  "profileTags": ["AI Threads", "UFC Threads", "AI", "MMA", "memes"],
  "latestPostAt": "2026-09-24T00:07:31.000Z",
  "latestPostsCount": 15,
  "avgLikes": 2077,
  "avgReplies": 580,
  "avgReposts": 155,
  "engagementRatePct": 0.05,
  "latestPosts": [
    {
      "imageUrl": "N/A",
      "id": "3992880350758034895",
      "code": "Ddpj4YZkd3P",
      "url": "https://www.threads.com/@zuck/post/Ddpj4YZkd3P",
      "text": "Here's everything I announced at Meta Connect today 👇",
      "postedAt": "2026-09-24T00:07:31.000Z",
      "mediaType": "Text",
      "likeCount": 1891,
      "replyCount": 451,
      "repostCount": 131,
      "quoteCount": 33,
      "shareCount": 125,
      "isPinned": "No",
      "isReply": "No",
      "videoUrl": "N/A",
      "carouselCount": 0
    }
  ],
  "scrapedAt": "2026-09-24T19:13:36.346Z",
  "error": null
}

{
  "imageUrl": "https://scontent-iad3-2.cdninstagram.com/v/t51.82787-19/...",
  "username": "netflix",
  "fullName": "Netflix US",
  "url": "https://www.threads.com/@netflix",
  "id": "63441666146",
  "isVerified": "Yes",
  "isPrivate": "No",
  "followerCount": 8546476,
  "threadsCount": 3400,
  "biography": "📍Hillman College",
  "bioLinks": [],
  "profileTags": ["tvthreads", "FilmThreads", "Book Threads"],
  "latestPostAt": "2026-09-24T19:00:24.000Z",
  "latestPostsCount": 15,
  "avgLikes": 975,
  "avgReplies": 33,
  "avgReposts": 58,
  "engagementRatePct": 0.013,
  "latestPosts": [
    {
      "imageUrl": "https://scontent-iad3-2.cdninstagram.com/v/t51.71878-15/...",
      "id": "3993271916433470712",
      "code": "Ddq86aWj3T4",
      "url": "https://www.threads.com/@netflix/post/Ddq86aWj3T4",
      "text": "Welcome to Hillman \n\nA DIFFERENT WORLD IS NOW ON NETFLIX",
      "postedAt": "2026-09-24T13:07:10.000Z",
      "mediaType": "Video",
      "likeCount": 3546,
      "replyCount": 123,
      "repostCount": 303,
      "quoteCount": 66,
      "shareCount": 268,
      "isPinned": "Yes",
      "isReply": "No",
      "videoUrl": "https://scontent-iad3-1.cdninstagram.com/o1/v/t16/...",
      "carouselCount": 0
    }
  ],
  "scrapedAt": "2026-09-24T19:13:40.957Z",
  "error": null
}

✨ Why choose this Actor

• 📈 Engagement rate built in. Average likes, replies and reposts per thread and an engagement rate against followers, computed on every row. No spreadsheet formulas.
• 🧵 Total thread count. How much a profile has posted in total, next to how recently it posted.
• 🏷 Profile topics. The topic tags creators pin to their profile, a quick read on what an account is about.
• 🗂 15 latest threads per profile, each with text, date, media type, media links and five engagement counters, on the same row.
• 🔓 No login and no cookies. Only public data a logged-out visitor sees. Nothing to rotate, nothing to get banned.
• ⚡ Fast and light. Plain HTTP, no browser, about 2 seconds per profile, 512 MB is plenty.
• 🧹 Clean values. Yes/No flags, ISO dates, numbers as numbers, no null in data rows.

📈 How it compares to alternatives

	This Actor	Typical Threads profile scrapers
Profile card (name, bio, followers, verified, picture)	✅	✅
Bio links	✅	✅
Profile topic tags	✅	❌ usually missing
Total thread count	✅ (rounded by Threads above 1,000)	❌ usually missing
Latest threads with engagement counters	✅ up to 15	Sometimes, often as raw nested JSON
Average likes, replies, reposts and engagement rate	✅ computed	❌
Flat, spreadsheet ready columns	✅	Raw API field names
Login or cookies required	❌	Varies
Profiles Threads hides from logged-out visitors	Free error row with the reason	Varies

Honest limits: Threads shows logged-out visitors the latest 15 threads of a profile, so the averages are computed over those 15. Some accounts are not shown to logged-out visitors at all (in a test on 40 celebrity and brand accounts, 8 redirected to the login page); those come back as free error rows, so you always know your coverage.

🚀 How to use

1. Create a free Apify account with $5 of monthly credit: sign up here.
2. Open the Threads Profile Scraper and paste usernames or profile URLs, one per line.
3. Set Max Items to the number of profiles you want.
4. Leave Include latest threads on to get the 15 threads per profile, or switch it off for lighter rows (the averages are still computed).
5. Click Start. Each profile takes about 2 seconds.
6. Download the results as CSV, Excel, JSON or XML, or pull them from the API.

Example input:

{
  "usernames": ["zuck", "@nasa", "https://www.threads.com/@natgeo"],
  "maxItems": 10,
  "includeLatestPosts": true
}

💼 Business use cases

🤝 Influencer vetting

An agency shortlists 200 creators for a sports campaign. One run returns followers, engagement rate and the last posting date for all of them, so dormant accounts and inflated audiences drop out before anyone sends a brief.

📊 Competitor benchmarking

A streaming brand tracks its own Threads account next to five rivals every week. Average likes, replies and reposts per thread show whose content is landing, and the latest threads show what they posted.

🧲 Lead enrichment

A B2B team has a list of founders and companies. Adding Threads follower counts, bios and bio links gives sales a quick signal of reach and a route to each prospect's website or link page.

📰 Media monitoring

A newsroom follows public officials and institutions. Scheduled runs capture every profile's latest threads with timestamps and engagement, building an archive of what was said and how people reacted.

🔌 Automating Threads Profile Scraper

• Make and Zapier: run the Actor on a schedule and send new rows to Google Sheets, Airtable or a CRM.
• Slack: post a weekly engagement leaderboard of the accounts you track.
• Airbyte: load the dataset into your warehouse next to other social data.
• GitHub Actions: trigger runs from a workflow and version the results.
• Google Drive: export each run as a spreadsheet automatically.

🌟 Beyond business use cases

• Research: study how audiences engage with public figures, institutions or topics on Threads.
• Personal: keep an eye on the creators you follow and how often they post.
• Non-profit: measure how advocacy accounts in your field reach people compared with peers.
• Experimentation: build a dataset for a dashboard, a ranking or a model of engagement.

🤖 Ask an AI assistant about this scraper

Paste this page into ChatGPT, Claude or Perplexity and ask things like "Which of these accounts has the best engagement rate?" or "Write a Make scenario that runs this Actor every Monday and appends the rows to a Google Sheet."

❓ Frequently Asked Questions

🔐 Do I need a Threads or Instagram account?

No. The Actor reads only what a logged-out visitor sees on threads.com. No login, no cookies, no session to manage.

🧵 How many threads per profile do I get?

Up to 15, the latest threads Threads shows to logged-out visitors. Older threads need a logged-in session, which this Actor does not use.

📈 How is the engagement rate calculated?

For each of the latest threads, likes, replies, reposts and quotes are added up. The average across those threads is divided by the follower count and shown as a percentage.

🔢 Why is the thread count a round number for some profiles?

Threads itself publishes the total rounded above 1,000 (for example "1.6K Threads"). Below 1,000 the number is exact. Follower counts are always exact.

🚫 Why did some profiles come back as errors?

Either the account does not exist on Threads, or Threads does not show it to logged-out visitors and sends them to the login page instead. Those rows are free and carry the reason.

🔒 What about private profiles?

When Threads shows the profile card of a private account, the row is flagged with isPrivate: "Yes" and carries only the threads Threads makes public. When Threads sends logged-out visitors to the login page instead, the row is a free error row.

🔗 Which input formats are accepted?

Usernames with or without @, and profile or post URLs on threads.com or threads.net. Duplicates are removed.

🌍 Do I need a proxy?

No. Profiles load without one. The proxy option is there for very large lists.

⏱ How fast is it?

About 2 seconds per profile with 4 profiles in parallel. 40 profiles took about 35 seconds in a local test.

🖼 Do image and video links expire?

Yes. Threads media links are signed by Meta and stop working after a few days. Download the media you need soon after the run.

📤 Which export formats are available?

CSV, Excel, JSON, JSONL, XML and HTML, plus the Apify API.

🗓 Can I track profiles over time?

Yes. Schedule the Actor daily or weekly with the same list and compare followerCount, threadsCount and the averages between runs.

🔌 Integrate with any app

Use the Apify API, the JavaScript and Python clients, webhooks, or the ready integrations with Make, Zapier, Slack, Airbyte, GitHub and Google Drive to send each run's results wherever you work.

🔗 Recommended Actors

• Threads Scraper - Public Posts by Username
• Instagram Profile Scraper
• TikTok Profile Scraper
• Bluesky Profile & Posts Scraper
• LinkedIn Profile Scraper

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: this is an independent tool and is not affiliated with, endorsed by or sponsored by Threads or Meta. It collects only publicly available data.