jevcrawl vs Scrapingdog

jevcrawl

Three compact, typed MCP tools return verbatim passages with source URLs, cost and stop reasons, and errors arrive as codes with instructions. The project is three days old and alpha, it depends on TypeSafe's paid Jev API, which is in early access with no free tier found, and it does not block crawls of private or local addresses.

Scrapingdog

A plain request is 1 credit, about $0.20 per 1,000 on Lite. API key only travels in the URL query string.

jevcrawl

1. Phrase goal as one specific question and start with max_pages between 10 and 30
2. Check stats.stopped_because and stats.degraded, and read uncertain before reporting that something is missing
3. Use scrape without a goal when you need a whole page, since it makes no paid Jev call and needs no key
4. Handle {"error": code, "message": ...} results, for example auth_error means TYPESAFE_API_KEY is missing or rejected
5. Pages in stats.needs_js_urls were not read. Tell the user rather than guessing their content

Scrapingdog

1. Add dynamic=false unless the page needs JavaScript. It cuts the cost from 5 credits to 1, whatever the MCP description says
2. Keep request URLs out of logs, since they carry api_key
3. Set client timeouts above 60 seconds and retry on 429 or timeout. Failures aren't billed
4. Prefer the parsed endpoints (Google, Amazon) over scraping the raw page when one exists