I just connected Claude Code to the Firecrawl MCP server and gave it a real job: find AI automation jobs for me on Naukri. 📊 What I scraped - Run 1: a broad search, giving 22 jobs with title, company, rating, experience, salary, location, skills and link, saved as a CSV (screenshot below) - Run 2: filtered to remote or Hyderabad with 0–2 years of experience, giving 16 jobs. For each one it opened the full listing and pulled the description, responsibilities, requirements, skills and how to apply, then rated the fit and flagged 3 expired posts. - Cost: about 106 credits on Firecrawl's free plan (1,000 a month) 💡 One thing I learned I gave it plain English, not tool names. Claude chose scrape with a JSON schema for the listing pages instead of a full crawl, which is far cheaper. It then scraped each job page one by one for the details. A JSON scrape costs 5 credits vs 1 for markdown, so I added a credit-budget rule to the project's CLAUDE.md. The surprise: the job board silently swaps in other cities when yours has no matches. If you don't check the location field, your "Hyderabad jobs" list is quietly full of Delhi jobs. 🏡 One use case idea I work with real estate businesses. The same agent could pull new property listings in a target area every morning into a Google Sheet, or track competitor agents' listings and prices, with no manual checking. Stack: Claude Code · Firecrawl MCP (hosted) · CSV / Google Sheets Has anyone run MCP scrapes on a schedule? That's what I want to try next.