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Scrape web pages in bulk with selectors, stealth mode, and automation.
This MCP tool appears to provide web scraping capabilities, requires no credentials, and does not declare fixed remote endpoints. With source code available, there are no clear high-risk red flags in the provided materials, but its code-execution and network-fetching nature plus weak trust signals warrant cautious use.
The materials explicitly state that no keys or environment variables are required, and there is no indication that API tokens, account credentials, or other sensitive authentication secrets are needed, so credential exposure risk appears low.
The tool is designed to scrape URLs, which implies outbound network access to user-specified websites. No additional third-party service endpoints are declared in the materials, so this currently looks like ordinary fetching of target web pages rather than exfiltration to unrelated backends.
The system marks it as executes-code, indicating that it runs local tool code/processes to perform scraping and batch operations. This is a normal MCP-tool capability, and the provided materials do not show system privileges beyond its stated purpose.
From the description, the tool can at least access content returned from user-specified URLs and may process batch scraping results. The materials do not specify local file reads or broad file writes, so there is no clear sign of overbroad access, but the data-handling boundaries are not well defined.
A publicly available open-source repository is a positive, risk-reducing factor because the code can be audited. However, it comes from a third-party registry, the repository has no declared license, community adoption is 0 stars, and maintenance status is unknown, so supply-chain trust signals are weak and code/dependency review is advisable before use in sensitive environments.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "scrapling-mcp" yet — see the docs or source repo.
Use scrapling-mcp to scrape these 20 product pages and extract the product title, price, rating, and stock status. Prefer CSS selectors; if page structures differ, add XPath fallbacks and return the results as a JSON array.
A structured list of product data with extracted fields for each page and optional selector notes.
Use scrapling-mcp to scrape this news section page and extract all article titles, links, and publish times. If the site has anti-bot protection, enable stealth mode and return the results in a CSV-ready table format.
A clean table of headlines, links, and timestamps ready for export or analysis.
Use scrapling-mcp to test CSS and XPath selectors on this page, verify which ones reliably extract the article body, author, and publish date, and report the match count for each selector.
A list of usable selectors, previewed matches, and reliability notes for later scraping setup.
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Scrape websites for text, links, images, metadata, screenshots, and structured data.