Glassdoor Scraper — Glassdoor Jobs API with Salaries | $0.30/1k
Pricing
from $0.30 / 1,000 jobs
Scrape Glassdoor jobs by keyword, location or Glassdoor URL: title, company, Glassdoor rating, salary range (min, median, max), job type, remote flag, Easy Apply, skills, posting age and optional full description. No login, proxy included. Export CSV, JSON or Excel.
All notable changes to Glassdoor Jobs Scraper are recorded here. The newest release is first.
Apify renders this as a Changelog tab on the Store page. Keeping it current is a visible signal that the Actor is maintained, which feeds the quality score that drives Store and MCP search ranking. Add an entry with every published build.
First public release.
Pricing: $0.30 per 1,000 jobs from the search results. Full descriptions are a separate event, charged only for jobs whose description was actually fetched. Maximum jobs is always respected (small description runs are no longer raised to 20 jobs).
No date sort: Glassdoor's search does not return jobs in date order, so the Actor does not offer one. Use Date posted for fresh jobs; every row has postedDaysAgo.
Personal data: emails (also "jane(at)example.com" spellings), phone numbers, personal profile links and contact names are removed from snippets, description and descriptionHtml, including the names in federal "Agency contact information" blocks.
Glassdoor job search by keywords, location (resolved with Glassdoor's own location list) or Glassdoor search URLs, with date, job type, remote, Easy Apply, rating and radius filters.
Salary range as numbers (salaryMin, salaryMedian, salaryMax), company rating, skills and tags on every row; optional full description.
Residential proxy included in the price; no login and no API key.
Every row carries status, so a missing record (not_found) and a failure (error) are told apart from real data. Only ok rows are charged.
Records are validated against a schema before they are written, so an upstream change produces loud warnings instead of silently billing for empty rows.
Callable with no arguments by an AI agent, which the input schema's defaults make safe.
