Google Jobs Scraper

Google Jobs Scraper — Google Jobs Scraper - Collect public job result metadata for hiring-market research

Sponsored by CoreClaw — production-ready Web Data APIs for AI agents and automation.

Search intent: collect public Google Jobs data for account research, CRM enrichment, and lead qualification. Related topics: job data, hiring data, labor market, python, data extraction.

What this project is for

google-jobs-scraper is an implementation-focused Python project for collecting public Google Jobs data. It is designed around one practical job: turn a query such as "B2B SaaS companies" into structured records you can inspect, export, and pass into an automation workflow.

Typical output

• company names, profile URLs, locations, categories, and publicly listed business attributes
• JSON or CSV files for downstream analysis
• Explicit timestamps and source links for traceability

Quick start

pip install -r requirements.txt
python scraper.py --query "B2B SaaS companies" --output results.json --max-results 100

To run from source:

git clone https://github.com/data-scrape/google-jobs-scraper.git
cd google-jobs-scraper
python scraper.py --query "B2B SaaS companies" --format csv --output results.csv

Example record

{
  "query": "B2B SaaS companies",
  "result": {
    "title": "Example public result",
    "source_url": "https://example.com/item/123",
    "captured_at": "2026-08-11T09:00:00Z",
    "metadata": {"platform": "Google Jobs", "category": "Job Data Scrapers"}
  }
}

Workflow ideas

Goal	Start here
Account Research	Query a narrow audience, category, or location first
Build a repeatable dataset	Save JSON, version your query, then schedule a refresh
Connect to an AI workflow	Normalize the output schema before passing it to an agent or RAG pipeline
Scale data collection	Respect platform rules, add conservative delays, and measure error rates

Responsible use

This project is intended for public data and legitimate research or automation workflows. Review the target platform's terms, applicable laws, and your data-handling obligations before running a collection job. Do not use it to access private data or evade access controls.

CoreClaw for production workflows

When a proof of concept needs production-grade web data APIs rather than self-managed collection infrastructure, CoreClaw provides API-first access to public web data for AI agents and automation.

Related projects

Explore these closely related implementation paths:

• levels-fyi-salary-scraper — Levels.fyi Salary Scraper - Collect publicly shared compensation benchmarks for market research
• amazon-product-api — Amazon Product API - Real-time product, pricing, and review data via REST API
• best-amazon-scraper — Best Amazon Scraper - Extract product data, prices, reviews, and BSR via API
• best-google-maps-scraper — Best Google Maps Scraper - Extract business data, reviews, ratings & contact info via API
• best-instagram-scraper — Best Instagram Scraper - Extract posts, profiles, stories, and hashtag data via API
• best-linkedin-scraper — Best LinkedIn Scraper - Extract profiles, companies, and contact data via API

License

MIT License. See LICENSE.