PyScrappy, self-healing web scraping selectors plus an MCP server
Adaptive Python web scraping toolkit + MCP server for AI agents. Self-healing selectors that survive site changes, TLS-fingerprint stealth to bypass anti-bot filters, CSS/XPath parsing, and 24 built-in scrapers, clean, structured, LLM-ready data from any URL. - mldsveda/PyScrappy
In plain words
PyScrappy is a Python web scraping toolkit designed for developers and AI agents. It features self-healing selectors that adapt to website changes, TLS-fingerprint stealth capabilities to avoid anti-bot detection, and support for CSS and XPath parsing. The toolkit includes 24 built-in scrapers and functions as an MCP server, extracting clean, structured data from websites in formats suitable for language models.
written from the facts on this page · September 2026
Does the same job
all alternatives →- SAStop AI scrapers from hammering your self-hosted blog (using porn)Dec 2025 · github.com · ▲373
Alright so if you run a self-hosted blog, you've probably noticed AI companies scraping it for training data. And not just a little (RIP to your server bill). There isn't much you can do about it without cloudflare. These companies ignore robots.txt, and you're competing with teams with more resources than you. It's you vs the MJs of programming, you're not going to win. But there is a solution. Now I'm not going to say it's a great solution...but a solution is a solution. If your website contains content that will trigger their scraper's safeguards, it will get dropped from their data…



- HMHyperbrowser MCP Server – Connect AI agents to the web through browsers2025 · github.com · ▲63
Hi HN! Excited to share our MCP Server at Hyperbrowser - something we’ve been working on for a few days. We think it’s a pretty neat way to connect LLMs and IDEs like Cursor / Windsurf to the internet. Our MCP server exposes seven tools for data collection and browsing: 1. `scrape_webpage` - Extract formatted (markdown, screenshot etc) content from any webpage 2. `crawl_webpages` - Navigate through multiple linked pages and extract LLM-friendly formatted content 3. `extract_structured_data` - Convert messy HTML into structured JSON 4. `search_with_bing` - Query the web and get results…
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Hi HN, Recently, I’ve noticed there’s a decently high barrier to entry in developing competitive, full-stack SaaS applications. Beside the standard, boring features that take months to implement, you typically have to know several languages and frameworks, and be familiar with fancy frontend styling classes. I’m working hard right now to solve this problem by building PySaaS- The 100% pure Python SaaS starter kit. PySaaS is a boilerplate Python codebase that takes care of the fundamental components standard to all SaaS applications. The codebase uses the Pynecone web framework to compile…
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Life & fun · 10d ago · louisabraham.github.io


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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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