Indeed Job Scraper

Build hiring dashboards with fresh Indeed job data for recruiters and labor-market analysts.

This actor collects job postings from Indeed based on your search terms, geography, and filters. It transforms unstructured listings into queryable datasets your recruiting or research team can act on quickly.

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Benefits

  • Track demand for specific skills and roles across regions in near real time.
  • Benchmark compensation signals and hiring velocity without manual copy-paste.
  • Build repeatable employer and role-level reports for recruiters or leadership.

Use cases and ideal users

  • Recruiters mapping where competing firms are actively hiring.
  • HR strategy teams identifying salary and remote-work trends by function.
  • Job-board startups seeding their own listings database from public results.

Typical output fields

  • Job details: title, company, location, employment type, and posting age.
  • Compensation data: salary text/range when available in listing.
  • Listing links: job URL, source URL, and snippet/description fields.

Practical workflow

A simple, repeatable way to go from inputs to a dataset you can use.

  1. Define target roles, locations, and optional salary/remote filters.
  2. Run the actor daily or weekly to keep your dataset fresh.
  3. Aggregate results by company, region, and skill terms.
  4. Use trends to prioritize sourcing, compensation strategy, or outreach.

Frequently asked questions

What input should I prepare first?

Start with a small list of clean URLs or keywords. Run a small validation batch first, then scale.

How do I make this repeatable?

After validation, add scheduling in Apify and connect outputs to your dataset/API pipeline.

Can I combine this with other actors?

Yes. Many teams chain collection + enrichment + QA actors for stronger data quality.

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