Glassdoor Scraper: Jobs, Salaries, Ratings & Companies

Extract job listings from Glassdoor across 20+ country domains. Every row carries the company's Glassdoor rating (1-5) and review count alongside title, salary, location and apply URL. Optional employer profile enrichment adds "About" text, headquarters, size range, founded year, industry, CEO, rating breakdown and open-role count for each unique company in the run.

What it does

Runs a search on Glassdoor for one or more keyword and location pairs (or a set of pre-filtered start URLs) and returns structured rows. Three fetch modes:

1. SERP only (default). 25+ fields per job, sourced from Glassdoor's embedded React state plus JSON-LD.
2. SERP + job detail (includeJobDetails: true). Adds full description (plain text + HTML), direct apply URL and richer employment-type data from each job's detail page.
3. SERP + job detail + employer profile (includeCompanyDetails: true). Also resolves each unique employer to its Glassdoor company page and returns company enrichment fields merged directly onto each job row: about text, HQ, size, founded year, industry, CEO, rating breakdown (culture, comp, opportunities, senior leadership, work-life balance) and a list of currently-open roles.

Sample output

{
  "_type": "job",
  "id": "1009123456",
  "title": "Senior Software Engineer",
  "company_name": "Acme Corp",
  "company_rating": 4.2,
  "review_count": 1284,
  "location": "New York, NY",
  "salary_min": 145000,
  "salary_max": 205000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_text": "$145K - $205K/yr (Employer est.)",
  "salary_estimated": true,
  "salary_source": "employer",
  "employment_type": "full-time",
  "workplace_type": "hybrid",
  "description_snippet": "We are looking for a senior software engineer...",
  "posted_at": "2026-09-19",
  "posted_at_datetime": "2026-09-19T00:00:00Z",
  "age_days": 1,
  "job_url": "https://www.glassdoor.com/job-listing/senior-software-engineer-acme-JV_IC1132348_KO0,24_KE25,34.htm?jl=1009123456",
  "apply_url": "https://jobs.acme.com/apply/123",
  "apply_type": "external",
  "easy_apply": false,
  "sponsored": false,
  "employer_id": "9079",
  "employer_profile_url": "https://www.glassdoor.com/Overview/Working-at-Acme-Corp-EI_IE9079.htm",
  "source_platform": "glassdoor.com",
  "search_query": "software engineer",
  "search_location": "New York, NY",
  "serp_page": 1,
  "scraped_at": "2026-09-20T08:00:00Z",
  "extraction_mode": "serp-apollo"
}

Output fields

Field	Type	Description
_type	string	Always "job"
id	string	Glassdoor jobListingId
title	string	Job title
company_name	string	Employer name
company_logo_url	string	Company square logo URL (null if only placeholder available)
location	string	Location text from card
city	string	Parsed city
state	string	Parsed state/region
country	string	Country from structured data
salary_min	number	Minimum salary (numeric)
salary_max	number	Maximum salary (numeric)
salary_currency	string	Currency code (USD, EUR, GBP, ...)
salary_period	string	Pay period: year, month, week, day, hour
salary_text	string	Human-readable salary string synthesized from structured fields (e.g. "$145K - $205K/yr (Glassdoor est.)")
salary_estimated	boolean	True when Glassdoor or employer estimated
salary_source	string	"glassdoor" or "employer" when estimated
employment_type	string	full-time, part-time, contract, temporary, internship, freelance
workplace_type	string	remote, hybrid, onsite
description_snippet	string	Short description excerpt (SERP)
description_full	string	Full plain-text description (requires includeJobDetails)
description_html	string	Full HTML description (requires includeJobDetails)
description_md	string	Full Markdown description converted from HTML (requires includeJobDetails)
posted_at	string	Posting date YYYY-MM-DD (approximate, derived from "Nd ago")
posted_at_datetime	string	ISO-8601 UTC datetime (YYYY-MM-DDT00:00:00Z)
age_days	number	Days since posted
job_url	string	Glassdoor job listing URL
apply_url	string	Direct apply URL (requires includeJobDetails)
apply_type	string	quick (Easy Apply), native, external
source_platform	string	Always "glassdoor.com"
company_rating	number	Overall Glassdoor rating 1.0-5.0
review_count	number	Number of Glassdoor reviews
easy_apply	boolean	True if Glassdoor Easy Apply available
sponsored	boolean	True if sponsored/promoted listing
employer_id	string	Glassdoor employer ID (eid)
employer_profile_url	string	Glassdoor company Overview URL
search_query	string	Keyword used for this result
search_location	string	Location used for this result
serp_page	number	SERP page number
scraped_at	string	ISO-8601 UTC scrape timestamp
extraction_mode	string	Extraction path used (serp-apollo, serp-jsonld, serp-html-anchor, +detail)
company_about	string	Employer "About" text (requires includeCompanyDetails)
company_website	string	Employer website URL
company_headquarters	string	Headquarters location
company_size_range	string	Employee count range (e.g. "10001+ Employees")
company_founded_year	number	Year founded
company_industry	string	Industry name
company_sector	string	Sector name
company_type	string	Company type (Public, Private, Nonprofit, ...)
company_revenue_range	string	Annual revenue range
company_ceo	string	CEO name
company_ceo_approval_pct	number	CEO approval %
company_recommend_pct	number	Recommend-to-friend %
company_glassdoor_rating	number	Overall rating from company page
company_review_count	number	Review count from company page
company_rating_culture	number	Culture and values sub-rating
company_rating_compensation	number	Compensation and benefits sub-rating
company_rating_opportunities	number	Career opportunities sub-rating
company_rating_senior_leadership	number	Senior leadership sub-rating
company_rating_work_life_balance	number	Work-life balance sub-rating
company_rating_diversity	number	Diversity and inclusion sub-rating
company_active_jobs_count	number	Number of open roles on company page
company_active_jobs	array	List of open job titles and URLs (up to 20)

Input parameters

Parameter	Type	Default	Description
searchQueries	string[]	["software engineer"]	Job search keywords
startUrls	string[]		Pre-filtered Glassdoor search URLs
location	string		City or region (e.g. "New York, NY")
country	select	us	Glassdoor domain: us, uk, gb, ca, au, ie, in, de, fr, nl, es, it, br, mx, ar, sg, hk, ch, at, be
maxResults	integer	5	Total job cap across all queries
maxResultsPerQuery	integer	5	Per-query job cap
includeJobDetails	boolean	false	Fetch full description and apply URL from PDP
includeCompanyDetails	boolean	false	Fetch employer profile fields
sortBy	select	newest	newest or relevance
maxConcurrency	integer	3	Max parallel HTTP requests

Pricing

Pay-per-event (PPE) via Apify's platform billing:

Event	Rate	When charged
job-start	$0.001	Once per actor run
job-serp-result	$0.003	Per job pushed to dataset
job-detail-result	$0.002	Per job enriched with full description from the detail page
company-detail-result	$0.005	Per unique employer profile resolved (deduplicated per run)

How it works: You pay a flat rate per event; we absorb compute and proxy costs on our end. No monthly minimum. New Apify accounts include $5 free credit that applies immediately.

Worked examples

SERP-only scan — 100 jobs

Event	Count	Rate	Subtotal
job-start	1	$0.001	$0.001
job-serp-result	100	$0.003	$0.300
Total			$0.301

SERP + detail enrichment — 500 jobs

Event	Count	Rate	Subtotal
job-start	1	$0.001	$0.001
job-serp-result	500	$0.003	$1.500
job-detail-result	500	$0.002	$1.000
Total			$2.501

Full pipeline — 1,000 jobs + 200 employer profiles

Event	Count	Rate	Subtotal
job-start	1	$0.001	$0.001
job-serp-result	1,000	$0.003	$3.000
job-detail-result	1,000	$0.002	$2.000
company-detail-result	200	$0.005	$1.000
Total			$6.001

Supported countries

us (glassdoor.com), uk/gb (glassdoor.co.uk), ca (glassdoor.ca), au (glassdoor.com.au), ie (glassdoor.ie), in (glassdoor.co.in), de (glassdoor.de), fr (glassdoor.fr), nl (glassdoor.nl), es (glassdoor.es), it (glassdoor.it), br (glassdoor.com.br), mx (glassdoor.com.mx), ar (glassdoor.com.ar), sg (glassdoor.sg), hk (glassdoor.com.hk), ch (glassdoor.ch), at (glassdoor.at), be (glassdoor.be)

Use with AI agents (MCP)

This actor is compatible with Apify's MCP server for use in Claude, Cursor, LangChain and other agent frameworks. For per-tool schemas and MCP-client copy-paste snippets, see the MCP tab on the actor page.

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apify.com/sse?token=YOUR_APIFY_TOKEN&tools=santamaria-automations~glassdoor-scraper"
      ]
    }
  }
}

Related actors

Feed the company_website field from this actor's output into one of the two below to enrich rows with contact data:

• Website Email & Phone Scraper — regex-based, fast & cheap; scrapes emails + phones from a company website.
• Website Contact Extractor — LLM-based, higher precision on structured contacts (names, roles, dept-scoped emails).

More job scrapers from our fleet you may also want:

• LinkedIn Jobs Scraper — LinkedIn's public job search across every geo.
• Stepstone.de Scraper — flagship DACH board (Germany).
• Arbeitsagentur DE Scraper — the German federal employment agency (jobsuche.arbeitsagentur.de).
• France Travail Scraper — the French national public employment service.

Why this scraper

• Returns Glassdoor's employer rating (1-5) and review count on every SERP row — not just on aggregated employer pages — so compensation and culture signals travel with each job record.
• Preserves the salary_estimated boolean and salary_source string alongside parsed numeric salary ranges, letting ML pipelines weight or filter employer-declared vs Glassdoor-estimated bands independently.
• Optional employer profile pass (includeCompanyDetails: true) resolves 20+ company fields — about text, HQ, size, founded year, industry, sector, CEO, CEO approval %, recommend %, six sub-ratings, open-role count and list — deduplicated per unique employer, with no second API call required.
• Covers 20+ country domains under a single normalized schema: one input change (country: "de") routes the entire run to glassdoor.de without any per-country actor to maintain.
• Pure Go HTTP stack running at 128 MB RAM baseline with residential proxy and Apify Unblocker — no browser overhead, roughly 30x faster per query than the previous browser-tier implementation.

Use cases

• Compensation benchmarking across cities and titles using salary_min, salary_max, salary_currency, salary_period and the salary_estimated filter flag.
• Recruiter lead-gen: identify companies actively hiring for a target role and open a conversation using co-located employer fields (HQ, size, industry, CEO).
• Market intelligence: track competitor rating trends, open-role counts and review-count velocity across recurring scheduled runs.
• Pay-transparency research or media reporting, particularly for US postings where Glassdoor publishes salary estimates employers do not disclose elsewhere.
• Candidate pipeline building with deduplication on employer_id and id (Glassdoor jobListingId) across daily runs.

Notes and limits

• Glassdoor's "newest" sort applies a fromAge filter (typically last-24 h posts) rather than a strict recency ordering. Results within the window are relevance-ranked. To capture older postings, use sortBy: relevance and paginate deeper.
• Salary ranges are often Glassdoor's estimates rather than official employer bands. The salary_estimated boolean and salary_source string identify which is which on every row.
• Employer profile pages sometimes omit fields for smaller companies or non-US regions. Missing values are returned as null rather than backfilled with guesses.
• description_full, description_html and description_md are only populated when includeJobDetails: true. SERP rows carry only description_snippet (roughly 150 chars).
• apply_url and the apply_type distinction (external ATS redirect vs Glassdoor Easy Apply) require includeJobDetails: true.
• Throughput: expect roughly 2-3 jobs per second at maxConcurrency: 3. Total runtime scales approximately linearly with SERP page count (30 rows per page).

Support

• Questions or issues? Email contact@nanoscrape.com — we typically reply within 6 hours. You can also open a ticket in the Issues tab on the actor page.
• Feature request? Open a ticket in the Issues tab or email contact@nanoscrape.com with the field / country / employer type you need and (if possible) a URL that shows the data live on glassdoor.
• Need a scraper for a job board we don't cover yet? Email contact@nanoscrape.com with the target site + your rough usage volume — we ship one-off boards regularly.