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LookaCrawler

by lucasmartins-ai
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TypeScript

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    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation3/5

    Most tools target distinct actions, but two near-duplicate pairs stand out: discover_local_leads vs search_places (both pull the same Google Maps entity fields), and extract_contacts vs deep_enrich_lead (both crawl a business site for emails/socials). Descriptions add some differentiation, but an agent could easily misselect within these pairs.

    Naming Consistency5/5

    All names are snake_case and follow a verb_noun pattern (discover_local_leads, extract_contacts, crawl_website, map_website, search_places). Minor compounds like deep_enrich_lead and batch_extract_web_content are still readable and consistent with the convention.

    Tool Count5/5

    Nine tools is well within the sweet spot for a crawling/scraping server, and each tool covers a distinct capability tier (discovery, extraction, enrichment, batch, site mapping). No obvious padding or redundancy-driven bloat.

    Completeness4/5

    The surface covers the full lead-gen lifecycle: place discovery, contact extraction, lead enrichment, content/markdown extraction, recursive crawl, batch, structured extraction, and sitemap discovery. The main gap is a lack of a status/polling or pagination/continuation operation for long-running crawls or large result sets.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

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