ScrapeOps MCP Server
OfficialRelated Servers
Alternatives to ScrapeOps MCP Server
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Related Servers
- AlicenseAqualityBmaintenanceEnables AI agents to scrape any website by providing tools for JavaScript rendering, antibot bypass, and automatic captcha solving. It supports synchronous, asynchronous, and batch scraping operations with built-in proxy rotation.5207 npm57 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to scrape arbitrary webpages, run geo-targeted Google searches with structured results, and retrieve structured Amazon product data through the Oxylabs Web Scraper API, including rotating proxies, anti-bot handling, and optional JavaScript rendering.14 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to operate a real, anti-bot-aware browser through Zyte API for navigating pages, clicking, typing, scrolling, taking screenshots, searching, and extracting structured data, with automatic proxy rotation and ban avoidance.12 npm-
- FlicenseBqualityDmaintenanceEnables AI agents to browse and extract data from any public website via Bright Data's cloud infrastructure, handling proxy rotation, CAPTCHA solving, and JavaScript rendering.57-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search the web, read and extract content from webpages, fetch JSON from REST APIs, and collect links while bypassing anti-bot protections.26 npmISC
- AlicenseAqualityAmaintenanceEnables AI agents to perform web searches, fetch and extract page content, and crawl sites with caching, rate limiting, and robots.txt compliance, all without needing API keys.11214 PyPI1MIT
TDQS
Scored across 3 tools
Each tool has a clear, distinct purpose: maps_web for general browsing and scraping, extract_data for structured data extraction, and return_links for URL extraction. There is no functional overlap.
All tools follow a verb_noun pattern with underscores (maps_web, extract_data, return_links). However, 'maps_web' is a slightly ambiguous verb choice, deviating from the more descriptive verbs like 'extract' and 'return'.
Three tools is low but sufficient for a focused scraping toolkit. They cover the core tasks: browsing, data extraction, and link analysis. Additional tools (e.g., dedicated screenshot) could be added, but the current count is reasonable.
The tool surface covers the primary scraping workflows: browsing with advanced features (maps_web), structured extraction (extract_data), and link discovery (return_links). Minor gaps exist, such as lack of form interaction or session management, but core needs are met.