Screener Scraper Pro

Screener Scraper Pro

Scrape full financial data from Screener.in, WITHOUT API KEY

2 followers

Effortlessly gather comprehensive financial data, no API key required! ✨ Features • Complete financials: including quarterly results, P&L statements, balance sheets, cash flow analyses, ratios • Growth metrics: track sales & profit growth • Shareholding trends: insights on promoter, FII, DII, public shareholding • Company documentation: access announcements, reports, ratings, con calls • Built-in analysis: pros & cons • TypeScript compatibility • Direct public data scraping, no ext APIs needed!
Screener Scraper Pro gallery image
Screener Scraper Pro gallery image
Free
Launch tags:FintechInvestingGitHub
Launch Team
Famulor AI
Famulor AI
One agent, all channels: phone, web & WhatsApp AI
Promoted

What do you think? …

Vishwa Gaurav
What inspired me to build this? Honestly, it started from frustration. I was working on a side project to track a few stocks I was interested in, and I wanted to pull data from screener.in since that's where I usually look up company fundamentals. But here's the thing - there's no official API. And manually copying numbers from the website into a spreadsheet every time? That got old really fast. So I thought, why not just build something that does it for me? The problem I was trying to solve: If you've ever tried to build anything around Indian stock market data, you know the struggle. Most good data sources either charge a lot, have complicated API setups, or just don't give you the kind of fundamental data you actually need for analysis. Screener.in has almost everything — P&L, balance sheets, shareholding patterns, ratios, even concall links — but getting that data programmatically wasn't really an option. I wanted something simple: pass a URL, get all the data. That's it. How my approach evolved: At first, I just wrote a quick script for myself. It was messy — hardcoded selectors, no error handling, basically held together with duct tape. But then I realized this could actually help others. So I went back and rewrote the whole thing properly. Made it modular, added proper TypeScript types, and made sure it handles different edge cases (like when a company doesn't have certain sections). This started as a "scratch your own itch" project and turned into something I'm genuinely proud of. Hope it saves someone else the hours I spent trying to copy-paste data from web pages. If you're into stock analysis and hate manual work as much as I do, give it a try. And if something breaks, let me know, I'm actively [trying] to maintain it.