universal-scraper
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TDQS
Scored across 8 tools
Most tools have distinct roles (crawl, bulk_scrape, screenshot, check, books), but scrape and extract overlap heavily because both turn web content into clean Markdown/text/tables, differing mainly by URL vs HTML input. The auto tool also overlaps conceptually with scrape/crawl by generating and running scraping tasks, so agents may hesitate between auto, scrape, and extract.
Names mix single verbs (scrape, crawl, check, extract), a noun-like tool (books), a vague automation label (auto), and one snake_case compound (bulk_scrape). The set is readable but has no predictable verb_noun or resource_action convention.
Eight tools is well-scoped for a universal scraper, covering single-page scraping, batch scraping, recursive crawling, extraction, screenshots, diagnostics, AI-assisted automation, and a book-data specialization. Each tool has a plausible place in the workflow.
The surface covers the core scraping lifecycle: fetch one page, fetch many, crawl a site, extract from HTML, screenshot, diagnose, and automate configuration. Minor gaps exist around explicit session/cookie/proxy management or structured job status, but the main workflows are covered.