🧵 Threads Profile Scraper

🚀 Pull public Threads posts from any profile. Text, post URL, posted date, author handle. Camoufox + residential proxy bypasses Meta anti-bot. No login.

The Threads Profile Scraper visits public Threads profiles using a Camoufox browser with residential proxy rotation and returns each post's text, post URL, post code, posted timestamp, profile URL, and author handle. Aggressive scrolling captures up to 25 posts per profile and the Actor walks multiple usernames in sequence to reach 100+ posts per run.

Threads has crossed 200 million monthly active users since launch and is Meta's competitor to X. It is increasingly the public posting surface for tech founders, journalists, and creators. Anonymous HTTP scraping returns only the SPA shell because Meta's anti-bot fingerprints the TLS handshake. This Actor uses Camoufox to mimic a real browser and serves the SSR-rendered profile feed.

🎯 Target Audience	💡 Primary Use Cases
Social listening teams, brand monitoring, journalists, marketers, researchers	Social listening, influencer monitoring, trend research, content discovery

📋 What the Threads Profile Scraper does

Three filtering workflows in a single run:

• 👤 Multi-profile fanout. Submit an array of usernames and the Actor visits each profile.
• 📜 Aggressive scroll. Up to 15 scroll rounds per profile loads more posts beyond the first viewport.
• 🛡️ Anti-bot bypass. Camoufox headless: virtual plus residential proxy serves the real SSR feed.

Each row reports the username, post short code (extracted from the post URL), full post URL, post text up to 1500 characters, posted timestamp from the <time> element, profile URL, and a scrape timestamp.

💡 Why it matters: Threads is now where many tech and media voices post first. Brand teams need to track mentions there, journalists watch it for breaking takes, and marketers measure influencer reach. The HTTP layer alone returns nothing useful, but a properly-fingerprinted browser session can read the public feed.

📊 Data fields

Each record includes: postCode, postUrl, postedAt, profileUrl, scrapedAt, text, username. All 7 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to Know: Threads enforces strong anti-bot, so this Actor uses Camoufox with headless: virtual and Apify residential proxy. Cold-start is around 4-6 seconds, then each profile takes 6-10 seconds depending on scroll depth.

🚀 How to use

1. 🆓 Create a free Apify account. Sign up here and get $5 in free credit.
2. 🔍 Open the Actor. Search for "Threads Profile" in the Apify Store.
3. ⚙️ Add usernames. One or many Threads handles without the @.
4. ▶️ Click Start. A 100-post run typically completes in 80 to 120 seconds.
5. 📥 Download. Export as CSV, Excel, JSON, or XML.

⏱️ Total time from sign-up to first dataset: under five minutes.

🔗 Recommended Actors

• 🔍 Skip Trace People Search - lookup people behind handles you find.
• 🅱️ Bing Search Scraper - run web searches on viral Threads posts.
• 🦆 DuckDuckGo Search Scraper - alternative SERP signal alongside Threads activity.
• 📚 Wikipedia Pageviews Scraper - cross-reference Threads spikes with public-interest data.
• 🐙 GitHub Trending Repos Scraper - capture the developer-attention layer next to Threads activity.

💡 Pro Tip: browse the complete ParseForge collection for more pre-built scrapers and data tools.

Threads is a registered trademark of Meta Platforms, Inc. This Actor is not affiliated with or endorsed by Meta. It reads only the public profile feed every logged-out browser can access.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.