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PyScrappy

by mldsveda
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Python

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TDQS

A3.9/5.0

Scored across 24 tools

Disambiguation4/5

Most tools are clearly separated by target source or data type, so an agent can usually pick the right one from the name alone. The main ambiguity is that scrape_with is a generic dispatch that can overlap with the specialized scrapers, and a few search/scrape pairs (e.g. search_ubereats vs scrape_zomato) serve similar purposes but descriptions disambiguate them.

Naming Consistency3/5

Names follow readable snake_case verb_noun structure, but the verbs are mixed across three patterns: search_*, scrape_*, and get_* with occasional one-offs like lookup_movie, define_word, and scrape_with. This is consistent within clusters but not predictable across the whole toolset.

Tool Count3/5

At 24 tools, the set is in the heavy range and feels like a broad aggregation of scrapers rather than a tightly scoped server. The count is defensible for a multi-site scraping toolkit, but it is large enough that navigation and selection become a real burden.

Completeness4/5

The server covers the core scraper lifecycle well: generic URL scraping, named-source scrapers, plugin discovery, and generic dispatch via scrape_with. Minor gaps exist, such as no runtime scraper registration and no detailed arg discovery for registered plugin scrapers, but the main workflows are functional.

Maintenance

ActivityActive
ResponsivenessWithin a week

Resources