Scrapingdog MCP Server
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TDQS
Scored across 35 tools
Most tools are clearly distinct by source and data type (e.g., google_search vs google_maps), but some close pairs like google_ai_overview and google_ai_mode, or universal_search and google_search, require careful reading. Overall, descriptions resolve most ambiguity.
Tool names consistently use lowercase snake_case with a source prefix (google_, amazon_, youtube_), making them predictable. A few general tools like web_scrape, universal_search, screenshot, and chatgpt break the prefix pattern but are still clearly named.
With 35 tools, the set exceeds the recommended range for a coherent server. While each tool targets a specific scraping scenario, the large number makes the surface feel heavy and harder to navigate.
The server covers an impressively broad range of scraping needs: multiple search engines, Amazon product/review/offer data, YouTube details/transcripts/comments, and a general-purpose scraper. No obvious dead ends or critical missing operations for the stated domain.