Glassdoor Jobs Scraper

Turn Glassdoor listings into structured datasets for hiring and market insight.

This actor extracts public job listing information from Glassdoor and packages it into machine-readable output. It is useful when your team needs both role-level and employer-level context from one source.

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Benefits

  • Centralize fragmented job market data into one dataset.
  • Support compensation and title benchmarking with recurring pulls.
  • Improve talent planning with clearer demand signals by employer.

Use cases and ideal users

  • People analytics teams tracking hiring shifts across target employers.
  • Compensation analysts comparing title and pay patterns by city.
  • Recruiting ops teams building sourcing maps before campaign launches.

Typical output fields

  • Listing core: job title, company, location, and link.
  • Job context: summary/description snippets and posting freshness.
  • Employer context: available company attributes exposed on listing pages.

Practical workflow

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

  1. Define your target roles, industries, and location filters.
  2. Run and export the dataset in JSON or CSV format.
  3. Merge with internal hiring data for gap analysis.
  4. Automate periodic runs to keep market reports current.

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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