cv-cat

cv-cat / InstagramApis

Public

Ins算法逆向

16
9
69% credibility
Found Apr 10, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A web service that collects Instagram user profiles, full lists of posts, post details, and complete comment threads including replies.

How It Works

1
🔍 Discover the tool

You hear about a simple way to gather Instagram user profiles, posts, and comments for research or analysis.

2
💻 Start it up

Download and run the tool on your computer, opening a friendly webpage where you can make requests.

3
🔑 Grab your login details

Sign into Instagram in your web browser, open the tools panel, and copy the special login string from a page request.

4
👤 Look up a user

Enter the Instagram username on the tool's page to get basic details like user ID and profile links.

5
📹 Fetch all posts

Use the user's details to pull a complete list of their videos and posts automatically.

6
💬 Collect full comments

Pick a post, get its special code, then retrieve every comment and reply in full detail.

🎉 Enjoy your data

You now have all the Instagram information organized and ready for your project or study.

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Star Growth

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AI-Generated Review

What is InstagramApis?

InstagramApis is a Python FastAPI service that scrapes Instagram data via reverse-engineered endpoints, pulling user profiles, full lists of posts or reels with auto-pagination, post details like likes and captions, and complete comment trees including threaded replies. It solves the lack of official instagram api github access by letting you feed real-time Instagram content into AI agents or analytics pipelines without SDK hassles—just supply login cookies and hit POST endpoints like /get_user_all_videos or /get_work_all_comments. Docker deployment gets it running in minutes on port 5005 with interactive docs.

Why is it gaining traction?

It stands out from basic instagram apis github scrapers by handling nested comments recursively and paginating everything automatically, delivering clean JSON without manual loops. Developers grab it for instagramapis python workflows where official limits block bulk data like ins follow github trends or full post engagement. The cookie-based auth mimics browser sessions reliably, beating proxy-heavy alternatives.

Who should use this?

Social media analysts tracking competitor ins download github metrics or comment sentiment. AI engineers building agents that analyze Instagram reels for content strategies. Researchers studying user interactions without instagramapisharp documentation overhead.

Verdict

With 16 stars and a 0.699999988079071% credibility score, it's an immature prototype—solid docs and examples, but no tests and high ban risk from Instagram TOS. Fork for personal experiments if you're okay self-hosting; skip for production.

(178 words)

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