Glassdoor Jobs Scraper — salaries, descriptions and company data

Scrape Glassdoor job listings from 20 Glassdoor countries without logging in. Every job comes back with Glassdoor's salary estimate range (10th percentile, median and 90th percentile, with pay period and currency), the full job description, and company data: rating, industry, size, revenue, headquarters, website and logo. It also includes job type, remote flag, Easy Apply and posted date. It's fast pure HTTP with no browser, and it reads up to 900 jobs per search.

Built for salary benchmarking, recruiting and sourcing, job boards, labour-market research, competitor hiring analysis and sales prospecting.

What you get for every Glassdoor job

Field	Example
title, company, companyRating	Data Engineer, Example Co, 4.1
salaryMin, salaryMedian, salaryMax, salaryPeriod, salaryCurrency	115000, 128000, 142000, year, USD
companyIndustry, companySize, companyRevenue, companyHeadquarters, companyWebsite	Information Technology Support Services, 1001 to 5000 Employees
location, locationType, country, isRemote	Austin, TX, CITY, United States, false
jobTypes, easyApply, listingType	["fulltime"], true, organic
postedDate, postedDaysAgo	2026-10-18, 3
description (+ optional descriptionHtml)	Full job description text
listingId, jobUrl, companyGlassdoorUrl	Stable Glassdoor IDs and links
searchQuery, searchLocation, resolvedLocation, scrapedAt	Which search produced the row

Example values are illustrative. Missing data stays null. Glassdoor's salary figures are estimates published on the listing, not the employer's offer, unless the description says otherwise.

How to scrape Glassdoor jobs

1. Enter job keywords (for example data engineer or product manager).
2. Add locations (city, state or country), or leave them empty for the whole country.
3. Pick the Glassdoor country and the number of jobs per search.
4. Optionally filter by posted within N days, job type, remote only, Easy Apply or radius.
5. Click Start and export to CSV, Excel or JSON, or use the API.

{
  "queries": ["data engineer", "machine learning engineer"],
  "locations": ["Austin, TX", "Seattle, WA"],
  "country": "US",
  "maxResultsPerSearch": 200,
  "postedWithinDays": 7
}

Jobs found by several searches are saved once per run, deduplicated by listingId.

Countries

United States, United Kingdom, Canada, Australia, India, Ireland, New Zealand, Singapore, Germany, France, Netherlands, Spain, Italy, Austria, Belgium, Switzerland, Brazil, Mexico, Argentina and Hong Kong.

Pricing

Pay per result: you are charged only for unique job rows saved. See the Pricing tab for the current rate, and set a maximum charge per run when you start.

Run summary and reliability

A free RUN_SUMMARY record lists every search, its resolved Glassdoor location, rows saved, pages read, Glassdoor's total match count, retries and an overall status. Blocked requests are retried on a fresh residential session. If nothing could be fetched, the run fails visibly instead of returning an empty dataset, and nothing is charged.

Automations and AI agents

Save the input as a Task, schedule it daily with postedWithinDays: 1, and use a webhook to push new rows into Google Sheets, n8n, Make, Zapier or your warehouse. Upsert on listingId. AI agents can call it through Apify's MCP server or the Neuton Actors MCP Server.

Related Neuton Actors

• Job Scraper: Indeed, Glassdoor and LinkedIn in one run for one normalised table across boards (plus Bayt and BDJobs)
• Google Trends Scraper to pair hiring demand with search interest
• Indeed Jobs Scraper: Indeed jobs with full descriptions, salaries and skills
• LinkedIn Job Details Scraper

Responsible use

This Actor collects publicly listed job postings and company summary data. Use it lawfully and respect privacy, employment and anti-discrimination rules and the source's terms. Neuton is not affiliated with or endorsed by Glassdoor.