Glassdoor Jobs Scraper

What does Glassdoor Jobs Scraper do?

Glassdoor Jobs Scraper extracts job listings from Glassdoor across all nine Glassdoor country sites - title, company name, company rating, location, salary, posted date, easy-apply status, and a description snippet. Point it at a keyword/location/country or a Glassdoor search URL and it scrapes every listing on the results, following pagination automatically until it has enough.

Global coverage

Glassdoor only operates nine country sites (there's no separate .de/.fr/.nl/etc - every market shares the same English-language platform):

Country	Domain
United States	glassdoor.com
United Kingdom	glassdoor.co.uk
Canada	glassdoor.ca
Australia	glassdoor.com.au
New Zealand	glassdoor.co.nz
Ireland	glassdoor.ie
India	glassdoor.co.in
Hong Kong	glassdoor.com.hk
Singapore	glassdoor.sg

Pick one via the Country input, or paste a Start URL from any of them directly.

How to use Glassdoor Jobs Scraper

1. Click Try for free (or Start) to open the Actor.
2. Either:
   • Set Keyword, Location, and Country to have the Actor build a search for you, or
   • Go to a Glassdoor site, search for the role/location you want, and paste the resulting URL into Start URLs (this takes priority when set).
3. Optionally set Max jobs per start URL and Max search result pages.
4. Click Start and wait for the run to finish, then open the Dataset tab to view, filter, and export the results.

Input

Field	Type	Description
startUrls	array (optional)	Glassdoor job search result page URLs on any of the nine domains above. Takes priority over keyword/location/country.
keyword	string (optional)	Job title/skill/keyword. Used to build a search URL when startUrls is empty.
location	string (optional)	Free-text location. Used to build a search URL when startUrls is empty.
country	string (optional)	Which Glassdoor country site to search when building a URL. Defaults to us.
maxItems	integer (optional)	Maximum job listings per start URL/search. Defaults to 50.
maxPages	integer (optional)	Safety cap on search result pages to paginate through. Defaults to 10.
scrapeJobDetails	boolean (optional)	Best-effort full-description enrichment - see Full descriptions vs. snippets below. Defaults to false.
proxyConfiguration	object (required)	Proxy settings. Defaults to Apify Proxy's Residential group - Glassdoor blocks a majority of unproxied/datacenter-IP requests.

See the Input tab for the full schema.

Output

Each dataset item looks like this:

{
    "jobId": "1010223788583",
    "title": "Sr. Data Scientist",
    "companyName": "Canoe Software",
    "companyRating": 2.9,
    "location": "London, England",
    "salaryText": "£160k - £180k",
    "salaryIsEstimate": false,
    "descriptionSnippet": "Collaborate with cross-functional teams to design and build data-driven products and solutions…",
    "postedAge": "10d",
    "postedDate": "2026-08-07",
    "easyApply": false,
    "country": "uk",
    "url": "https://www.glassdoor.co.uk/job-listing/sr-data-scientist-canoe-software-JV_IC2671300_KO0,17_KE18,32.htm?jl=1010223788583",
    "fullDescription": null,
    "fullDescriptionScraped": false
}

fullDescription stays null and fullDescriptionScraped stays false for every item unless Scrape full job descriptions is turned on - see below.

Data table

Field	Description
jobId	Glassdoor's internal job listing ID
title	Job title
companyName	Hiring company name
companyRating	Company's Glassdoor rating out of 5, if shown
location	Job location
salaryText	Salary range as shown on the card
salaryIsEstimate	true = Glassdoor-estimated salary, false = employer-provided, null = no salary shown
descriptionSnippet	Truncated description shown on the search results card
postedAge	Raw "how long ago posted" badge (e.g. "10d", "30d+")
postedDate	postedAge converted to an approximate ISO date
easyApply	Whether the listing supports Glassdoor Easy Apply
country	Which Glassdoor country site the job came from
url	Link to the live listing
fullDescription	Full job description text, only populated when scrapeJobDetails is on and the detail page wasn't blocked
fullDescriptionScraped	Whether fullDescription was actually obtained

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Full descriptions vs. snippets

Glassdoor's search result pages are what this Actor scrapes by default, and they already carry title, company, rating, location, salary, easy-apply status, and a real (if truncated) description snippet for every job - all reliably, without needing a proxy.

Glassdoor's individual job-listing pages sit behind a much stricter Cloudflare interactive challenge than the search pages do, and even the search pages themselves block a majority of unproxied/datacenter-IP requests - that's why proxy is required and defaults to Apify Proxy's Residential group. Turning on Scrape full job descriptions makes the Actor visit each job's detail page for the untruncated text; when a detail page is blocked, the job is not dropped - it's still pushed to the dataset with its snippet data and fullDescriptionScraped: false. Expect a mix of hits and blocks on detail pages rather than a guaranteed 100% success rate, even with Residential proxy.

Cost estimation

With scrapeJobDetails off (the default), cost scales with the number of search result pages, not the number of jobs - each page returns up to 30 jobs in one browser page load. Turning it on adds one extra page load per job, most of which may be blocked.

Tips

• Add multiple start URLs (different roles, locations, countries) to cover more ground in a single run.
• Salary is only shown by Glassdoor when either the employer discloses it or Glassdoor has enough data to estimate it - many listings will have salaryText: null.
• Proxy is required and defaults to Residential; don't turn it off even for small runs.

FAQ, disclaimers, and support

This Actor only collects publicly listed Glassdoor data. It is not affiliated with or endorsed by Glassdoor. Respect Glassdoor's Terms of Service when using the scraped data. Found a bug or have a feature request? Use the Issues tab on this Actor's page. Custom scraper solutions are also available on request.