Indeed Job Scraper

What this actor does

Collect jobs, salaries, skills, company ratings, benefits, and remote-work signals across supported countries.

Indeed Job Scraper structures job postings and labor-market signals for salary grids, hiring trend analysis, recruiting dashboards, and compensation briefs.

Use cases

• Salary and benefits research
• Hiring trend monitoring
• Recruiting market intelligence

Output fields

The actor is designed for compact JSON records that are easy to send into dashboards, webhooks, MCP clients, vector databases, and AI pipelines.

Best first run

Start with one role, one location, one country, and a small maxJobs limit. Confirm title, company_name, location, salary_text, skills_mentioned, and job_url before building salary or hiring dashboards.

Use through Apify MCP

MCP clients can call this actor as a focused Apify tool. Open the URL below in a compatible client, connect with Apify OAuth or your client's supported token configuration, then use the prompt as a small first run.

https://mcp.apify.com?tools=harvestlab/indeed-scraper

Suggested MCP prompt:

Use harvestlab/indeed-scraper through Apify MCP. Start with a small first run: Start with one role, one location, one country, and a small maxJobs limit. Confirm title, company_name, location, salary_text, skills_mentioned, and job_url before building salary or hiring dashboards. Return compact JSON with these fields when available: job_id, title, company_name, location, salary_text, skills_mentioned. Include source URLs or source identifiers in the response.

Sample JSON output

Field values vary by source and input, but the record shape is kept compact so it can move cleanly into dashboards, webhooks, and AI workflows.

{
  "job_id": "job_123456",
  "title": "Example result title",
  "company_name": "Example Corp",
  "location": "Amsterdam, NL",
  "salary_text": "$90K-$120K",
  "skills_mentioned": "Python, SQL, data analysis"
}

Related search intents

FAQ