MCP.Pizza Chef: D4Vinci
Helps you collect data from websites by running simple or large-scale web scrapes. Scrapling adapts to website changes, bypasses anti-bot protections, and supports multi-session crawls with proxy rotation. It works with apps like Cursor but needs developer setup using Docker or pip. No API keys are required, but some coding is needed to use it effectively.
Data
Other
Web/Research
Use This MCP server To
Extract product information from a webpage Run a full website crawl to collect data Adapt scraping to website design changes automatically Bypass anti-bot protections while scraping Pause and resume large web crawls Rotate proxies to avoid IP blocking Get real-time stats during web scraping
README
Scrapling FAQ
Can I use Scrapling to extract product details from a website?
Yes — Scrapling lets you scrape and adapt to website changes to reliably pull product data.
Can Scrapling handle large-scale web crawling tasks?
Yes — it supports full-scale crawls with features like proxy rotation and pause/resume.
Does Scrapling require an API key or account to use?
No — Scrapling does not require an API key or account for setup or use.
Which apps can I use Scrapling with?
Scrapling works with clients like Cursor and can be integrated into Python environments.
How hard is it to set up Scrapling?
Setup is developer-level — it requires installing via Docker or pip and some coding to run.
Can Scrapling bypass anti-bot protections like Cloudflare?
Yes — it includes fetchers designed to bypass common anti-bot systems automatically.