sunergos-ro

sunergos-ro / scrappy

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A tiny browser scraper written in Go

21
0
100% credibility
Found Feb 17, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

Scrappy provides a local web service for rendering web pages into HTML, extracting clean markdown content, or capturing screenshots using a pool of browsers.

How It Works

1
📰 Discover Scrappy

You find Scrappy, a simple tool that grabs full web pages, clean text summaries, or pictures of sites reliably.

2
🚀 Start it up

You run Scrappy on your computer, and it warms up a few invisible web browsers ready for action.

3
🔧 Tweak your setup

You set simple preferences like screen size or how long to wait for pages to load fully.

4
🌐 Grab web content

You tell Scrappy a website address, and it instantly delivers the complete page, readable text, or a screenshot.

5
Choose your output
📄
Full page view

Get the exact HTML as it appears in a real browser.

📝
Clean summary

Receive neat, readable text like a markdown note.

🖼️
Picture snapshot

Capture a sharp image of the page and store it online.

🎉 Perfect results every time

You have fast, accurate web content ready to use, with browsers always prepared for more.

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Star Growth

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AI-Generated Review

What is scrappy?

Scrappy is a tiny Go HTTP service that renders web pages in a pool of headless Chrome browsers, delivering full HTML, clean markdown extracts, or screenshots uploaded to Cloudflare R2. POST to /html for rendered output, /markdown for readable content skipping ads/scripts, or /screenshot for images in JPEG/PNG/WebP. It solves JS-heavy scraping pains, with a CLI for scripts and MCP server for LLM tools like "scrappy_html https://example.com".

Why is it gaining traction?

Warm browser pooling cuts load times versus cold starts in scrapy github alternatives, while security defaults block private IPs and credentials. CLI commands like `scrappy markdown --url site.com` and MCP integration hook devs building AI agents, echoing github tiny 11 or github tiny c compiler vibes—minimal footprint, max utility. No bloat, just fast renders for dynamic sites.

Who should use this?

Backend engineers scraping e-commerce or dashboards for APIs, AI devs piping markdown to models (beats raw HTML mess), SREs automating screenshots for monitoring. Suits scrappy coco workflows or scrappy upgrades arc raiders teams handling JS without Puppeteer headaches.

Verdict

Solid for prototypes—great docs, tests, Docker—but 12 stars and 1.0% credibility signal early maturity; monitor for production scale. Grab if you need a scrappy deutsch file manager for web data.

(198 words)

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