#AISChallenge - Day 2 ✅ · AI Automation Society

#AISChallenge - Day 2 ✅

Hello Everyone, Day 2 is completed

Share Your Day 2 Build:

Scraped Naukri.com job listings using Firecrawl MCP + Claude Code — and got a clean CSV with 20 performance marketing roles sorted by Remote / Hybrid / On-site in minutes.

What I scraped: Live job search results from Naukri — job title, company, location type, experience range, date posted, and direct apply URLs. All structured, all ready to track.

One thing that surprised me: Claude Code didn't just blindly scrape — it actually picked firecrawl_extract with a JSON schema over a basic scrape because it understood I needed structured data, not raw HTML. Then when the deprecated API endpoint returned zero results, it debugged itself and switched to the correct /v1/scrape format without me having to figure that out. That kind of autonomous problem-solving is what separates an AI tool from an AI agent.

One use case idea: Job market intelligence for clients. If you're running LinkedIn or Google Ads for a B2B SaaS client, knowing which companies are actively hiring for specific roles tells you exactly who's in buying mode. Scrape weekly → plug into your targeting. No more guessing who to reach.

If you just got the MCP server connected and ran your first scrape — that's already ahead of 90% of marketers. Share it.

#AISChallenge #day2

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#AISChallenge - Day 2 ✅