Web scraping, analysis & content extraction tool — MCP server + CLI
NeuralScraper has 12 tools with complete Zod schemas and descriptions, but quality is uneven. Tool names lack action verbs (ns_scrape vs scrape_page), descriptions are generic (avg 80 chars, below 194 baseline), and parameter descriptions are minimal. No output schemas documented. Error handling is absent, tools return JSON status but no recovery guidance. The ns_interact tool accepts a JSON string for actions instead of structured parameters, forcing LLMs to construct JSON manually. No pagination, rate limiting, or idempotent markers. Composition is reasonable (single responsibility per tool), but descriptions don't explain WHEN to use each tool or dependencies between them.
Full analysis: scrape + screenshot + UI + brand + SEO — everything in one call
Scrape a list of URLs sequentially
Extract branding: dominant colors, fonts, logos
Crawl a site: scrape multiple pages with depth and limit control
Extract structured data from a page using LLM (Ollama). Provide either a JSON schema or a natural language prompt.
Execute browser actions (click, type, wait, scroll) on a page, then scrape the result
Discover all internal URLs of a site
Tool names lack action verbs. All 12 tools use 'ns_' prefix (ns_scrape, ns_crawl, ns_map) instead of verb_noun pattern (scrape_page, crawl_site, map_urls). LLMs cannot infer intent from names alone and must read full descriptions for every tool.
No output schemas documented. Tools return JSON with status/url/outputPath/artifacts but LLMs cannot plan downstream calls without knowing response structure. Baseline: 100% of A+ tools document return types.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 47 | 2026-07-28+ | v2 |
Scrape a single page: extract markdown, HTML, metadata, links, and screenshot. Also handles PDF files.
Take a full-page screenshot of a URL
Search the web via SearXNG and scrape the top results
SEO audit: meta tags, headings, OG tags, schema markup, technical issues
Analyze UI: layout structure, components, spacing, typography
ns_interact accepts 'actions' as a JSON string instead of structured parameters. LLMs must manually construct JSON arrays like '[{"click":".btn"}, {"wait":1000}]', error-prone and wastes tokens. Should accept structured action objects.
No error handling guidance. Tools return status:ok but no recovery hints for failures. Missing: retryable vs fatal classification, actionable error messages with constraints, and suggestions for next steps (e.g., 'URL unreachable, try ns_search to find alternative sources').
Parameter descriptions are minimal (avg 30 chars vs 72 baseline). E.g., 'output_dir' described as 'Output directory' without explaining default location, format, or whether it's created if missing. 'depth' and 'limit' lack ranges (e.g., 'Max crawl depth (1-10)').