hasyaapp

hasyaapp / threads-scraper

Public

Tampermonkey userscript to scrape all posts from any public Threads profile

19
2
60% credibility
Found May 24, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Threads Scraper is a browser tool that automatically collects all posts from any public Threads profile. It works by scrolling through the profile page and gathering post content, images, videos, timestamps, and like counts. Users can choose between a quick mode that grabs posts and replies, or a deep mode that opens each post individually to capture conversations where the profile owner replied to comments. Once finished, the tool lets you download everything as a JSON file, CSV spreadsheet, or Markdown document for easy reading and archiving.

How It Works

1
💡 You discover you want to save someone's Threads

Maybe you want to archive your own posts, research a public figure, or keep a backup of someone's content before it disappears.

2
🔧 You install a small browser helper

You add a free browser extension called Tampermonkey, then paste in a simple script that adds a new button to your browser.

3
🌐 You visit any public Threads profile

You go to threads.com and find any profile you want to collect from — it can be anyone's public account.

4
✨ A friendly panel appears automatically

A dark panel slides in from the corner with buttons to start, options to customize, and a live counter showing how many posts you've collected.

5
You choose how deep to go
🚀
Fast mode

Quickly collect all posts and replies from the profile page — done in minutes.

🔍
Deep mode

Opens each post one by one to capture full conversations where the creator responded — takes longer but captures everything.

6
⏳ You watch it work while you make coffee

The tool scrolls through the profile automatically, collecting posts, images, videos, timestamps, and likes as it goes.

📦 You download your complete archive

When it's done, you click to download everything as a neat JSON file, a spreadsheet, or a readable document — ready to keep or analyze.

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AI-Generated Review

What is threads-scraper?

threads-scraper is a browser-based tool that archives every post from any public Threads profile. It runs as a Tampermonkey userscript, meaning you install it once in your browser and it activates automatically whenever you visit a Threads profile. The tool scrolls through the feed, captures post text, images, videos, timestamps, and like counts, then lets you export everything as JSON, CSV, or Markdown. It also offers a "deep mode" that opens each post individually to extract comment threads where the account holder actually replied.

Why is it gaining traction?

This stands out because it requires zero backend setup and works without any API access or authentication. Most scraping solutions need server infrastructure and rate-limit workarounds; this runs entirely in your browser by parsing the rendered DOM. The "deep mode" is particularly clever—it captures conversations by fetching each post's HTML and extracting hidden JSON data that most scrapers miss. The export flexibility (JSON for programmatic use, Markdown for human reading) covers different workflows without re-scraping.

Who should use this?

Researchers and journalists tracking public Threads activity will find the export formats immediately useful for analysis or archiving. Community managers monitoring competitor accounts can pull full post histories without manual copying. Developers building datasets around Threads content can use the JSON output directly in pipelines. However, it only works on public profiles—no scraping private accounts—and slower scroll speeds yield better text capture, which matters if you need complete data.

Verdict

threads-scraper is genuinely useful for its intended purpose and avoids the complexity of most scraping tools. With only 19 stars and no visible test coverage, it's a one-person project that works today but may break when Threads changes their frontend. The 0.6% credibility score reflects this stage of maturity. Try it for one-off archiving tasks, but build redundancy into any production workflow.

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