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Alternatives to sluicer

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TDQS

A4.3/5.0

Scored across 12 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: fetching raw HTML, extracting declared data, converting to markdown, testing selectors, compiling/replaying/healing extractors, auditing structured data, reading feeds, mapping sites, crawling, and batch extraction. Even overlapping tools like extract_declared and extract_many are separated by single vs. multiple pages, and crawl_site vs. map_site by following links vs. listing sitemap URLs. No two tools appear to do the same thing.

Naming Consistency4/5

Most tools follow a verb_noun pattern (fetch_page, compile_extractor, run_extractor, audit_page, read_feed, map_site, crawl_site, select_values), but a few deviate: 'extract_declared' and 'extract_many' use verb+modifier, and 'page_markdown' is noun-like, breaking the pattern. Still, the naming is generally predictable and readable.

Tool Count5/5

12 tools is well within the typical 3-15 range for a web data extraction server. Each tool addresses a distinct capability—fetching, extracting, testing, learning, replaying, healing, auditing, reading feeds, mapping, crawling, and batch processing—without redundancy or bloat.

Completeness5/5

The toolset covers the full lifecycle of web data extraction: raw fetch, structured data extraction, markdown conversion, selector testing, extractor creation/replay/healing, structured data auditing, feed reading, sitemap mapping, site crawling, and batched extraction. It also handles TDM rights, Wayback Machine, and pagination, leaving no obvious gaps for its stated purpose.

Maintenance

ActivityMaintained
ResponsivenessNo issues