Outscraper MCP
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HasData MCP Serverofficial
AlicenseAqualityAmaintenanceDirect access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.6320MIT
TDQS
Scored across 28 tools
Most source-specific tools like yelp_reviews, indeed_search, and google_maps_photos are clearly distinct, but google_maps_search and businesses_search overlap for place/business discovery. The legacy aliases tp_data/trustpilot_data and tp_reviews/trustpilot_reviews are direct duplicates, and while descriptions help, an agent can still misselect between the search and enrichment tools.
The set is overwhelmingly consistent: lowercase snake_case object_action names like businesses_search, requests_list, and emails_validator dominate. Deviations like ping, chain_info, company_insights, and the tp_* legacy aliases break the pattern slightly, but the naming remains predictable overall.
At 28 tools, the server exceeds the reasonable range for an MCP surface, even for a broad scraping platform. Several tools are near-duplicates or legacy aliases, and the count adds cognitive load beyond what the core workflows require.
The surface covers the main Outscraper workflows well: place/business search, per-source reviews and photos, enrichment, email/phone validation, and async request lifecycle management. Minor gaps like a dedicated place-details endpoint are workable because businesses_get and the requests_* tools fill adjacent needs.