ScrapeOps MCP Server
Related Servers
Alternatives to ScrapeOps MCP Server
No user-submitted related servers found.
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 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.24 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.35 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.11520 PyPI1MIT
- AlicenseAqualityFmaintenanceEnables AI agents to crawl, scrape, search, and automate browsers with anti-bot bypass, providing fast web access via 22 tools.2247 npm3MIT
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.