haskaomni

haskaomni / stockanalysis

Public

stockanalysis.com API crawler & reverse-engineered API docs

27
2
69% credibility
Found Mar 04, 2026 at 27 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A tool that simulates a logged-in browser visit to stockanalysis.com to discover, normalize, and document its internal data endpoints for stocks, ETFs, and markets.

How It Works

1
🔍 Discover the stock explorer

You find a handy tool that uncovers hidden data paths on a popular stock info website.

2
📥 Get the tool ready

Download the free explorer and prepare it on your computer in a few simple steps.

3
🔐 Share your login session

Visit the stock site, log in, copy a secure session note from your browser tools, and paste it into the explorer.

4
🚀 Start the adventure

Hit the go button and watch the explorer mimic your browsing to scout for data treasures.

5
⏳ Let it roam

Relax for a couple minutes while it checks out stock pages, quotes, and charts.

📖 Receive your data guide

Enjoy a clear, ready-to-use booklet listing all the secret shortcuts to stock quotes, histories, and market info.

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AI-Generated Review

What is stockanalysis?

This Python crawler reverse-engineers the undocumented APIs of stockanalysis.com by simulating an authenticated browser session with Playwright. It uncovers endpoints like real-time quotes for stocks (think Microsoft or Nvidia), price history, search, and screeners—plus SvelteKit's __data.json for financials and ETF holdings—then generates clean Markdown docs. Developers get a free stock analysis API reference without scraping from scratch.

Why is it gaining traction?

Unlike paid stock analysis APIs, it taps stockanalysis.com's https stockanalysis com api for free, including https stockanalysis com api screener s i results and mini-charts, all via a simple cookie-based auth setup. The output docs detail params and response previews, making it dead simple to hit endpoints like /api/quotes/s/{ticker} in your stock analysis tool or app. Python GitHub fans love the one-command run.py for instant reverse-engineered stock analysis github python wins.

Who should use this?

Quant traders scripting Nvidia or Microsoft stock analysis, fintech devs building stock analysis apps without API keys, or data scientists pulling ETF holdings and screeners for backtests. Ideal for anyone prototyping a stock analysis website or tool needing quick, reliable financial data.

Verdict

Grab it for fast stockanalysis.com API access in prototypes—docs are solid, parser handles complex data nicely—but with just 27 stars and a 0.699999988079071% credibility score, treat it as experimental; refresh cookies often as sessions expire, and watch for site changes breaking the crawler.

(198 words)

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