Glassdoor Jobs Scraper

Glassdoor Jobs Scraper

Glassdoor Jobs Scraper is a purpose-built Apify actor that collects fresh job listings from Glassdoor job search pages and returns clean, structured results — titles, companies, locations, salaries, ratings, descriptions, and links. It solves the manual copy‑paste problem by automating extraction from Glassdoor’s SERP and employer overview pages, making it a powerful Glassdoor jobs scraper and Glassdoor job listings scraper for recruiters, analysts, and developers. Whether you’re a marketer, data analyst, researcher, or building a Node.js/Python data pipeline, this Glassdoor job postings scraper enables large‑scale job intelligence and fast exports for downstream use.

What data / output can you get?

Below are real output fields produced for each job. Results stream to the Apify dataset so you can export to CSV or JSON.

Data type	Description	Example value
job_title	Title of the job	"Software Engineer"
job_id	Unique Glassdoor listing ID	"1234567890"
job_url	Absolute job URL on the regional Glassdoor site	"https://www.glassdoor.com/Job/software-engineer-jobs-SRCH_KO0,16.htm?jobListingId=1234567890"
job_location	Object with raw and parsed location	{"unknown":"San Francisco, CA","city":"san francisco","country":"us","zip":"94107"}
job_salary	Object with salary metadata	{"currency":"USD","currency_symbol":"$","pay_period":"year","estimated":true}
job_description	Cleaned plain‑text description	"We are seeking a Software Engineer..."
job_description_html	Original HTML description (if available)	""
job_posted_date	ISO date (derived or provided)	"2026-04-20"
job_remote	Remote flag when identified	true
job_job_types	Job type tags (e.g., fulltime/parttime)	["fulltime"]
job_levels	Seniority/level when available	"mid-level"
job_benefits_tags	Parsed benefits tags	["health insurance","401(k)","paid time off"]
job_shifts_and_schedule_tags	Shift/schedule hints	["day shift","flexible hours"]
company_name	Employer name	"Example Inc."
company_url	Employer overview URL on Glassdoor	"https://www.glassdoor.com/Overview/Working-at-Example-EI_IE12345.htm"
company_headquarters_location	HQ location object	{"city":"san francisco","unknown":"San Francisco, CA"}
company_sizes_str	Company size string	"1,001 to 5,000 Employees"
company_revenue	Revenue string if available	"$500 million to $1 billion (USD)"
company_logo	Square logo URL when present	"https://media.glassdoor.com/sqll/12345/logo.png"
job_industry	Primary industry	"Information Technology"
job_language	Language inferred from region	"en"
company_uri_providers	Provider/url pairs for company URIs	[{"provider":"glassdoor","url":"https://.../Overview/Working-at-..."}]
all	Full enriched raw payload for advanced use	{...}

Note: You’ll also get additional metadata fields such as job_sponsored, company_short_name, company_tag_line, company_description, company_industries, and more. Export the dataset to CSV or JSON and plug it into your analytics or automation workflows.

Key features

• 🚀 Bold scale & accuracy (BFF + overview) Uses Glassdoor’s job-search BFF endpoint plus employer overview pages to assemble rich, structured results. Ideal for Glassdoor job posting extraction with consistent schema.

• 📦 Bulk input from SERP URLs Feed multiple Glassdoor job search URLs in one run for true batch scraping & bulk automation. Perfect when you need a Glassdoor job board scraper to cover multiple queries.

• 🎛️ Advanced client-side filtering Apply salary bounds, listing age (1/3/7/14/30 days), company substring, industry, domain, employer size, job type, seniority, remote‑only, radius, and minimum rating — get exactly the jobs you want.

• 🔁 Resilient proxy ladder Automatic escalation: direct → Apify DATACENTER → Apify RESIDENTIAL (3 retries per step), then sticky residential for the rest of the run once a residential request succeeds. Reliable Glassdoor jobs API alternative.

• 📡 Live dataset streaming Each job is pushed to the dataset as it’s built, so you can start consuming or exporting immediately. Great for “Glassdoor jobs export to CSV” pipelines.

• 🌍 Regional coverage Target specific regional sites via the country selector (e.g., us, gb, de, fr, sg, jp, kr). A flexible Glassdoor job search scraper for international markets.

• 🧑‍💻 Developer-friendly workflow JSON outputs with stable field names, ideal for Python Glassdoor jobs scraper or Node.js Glassdoor jobs scraper pipelines, APIs, and data processing scripts.

How to use Glassdoor Jobs Scraper - step by step

1. Create or log in to your Apify account.
2. Open the Glassdoor Jobs Scraper on Apify.
3. In the input, set your search:
   • Provide keyword and select the country (regional site).
   • Optionally add location, salary range, listing age, job type/seniority, radius, industry/domain, employer size, application type, remote filter, and minimum rating.
4. (Optional) Configure Apify Proxy in proxyConfiguration if you anticipate regional restrictions; the actor automatically escalates from direct to datacenter and residential proxies as needed.
5. Set maxItems to control how many jobs per search to collect (default 200, up to 500).
6. Click Start to run. The actor loads Glassdoor job listings, applies filters, enriches companies, and streams results to the dataset.
7. Export your results to CSV or JSON from the run’s Dataset tab and integrate with your workflows.

Pro Tip: For advanced bulk runs from Glassdoor job search URLs, you can pass an array under urls or startUrls in raw JSON input. These are read by the actor to run multiple SERP URLs in one job.

Use cases

Use case name	Description
Recruitment sourcing & outreach	Build a fresh lead list of roles to target, filtered by salary, seniority, and employer rating for higher response rates.
HR analytics & labor market research	Analyze demand by title, region, and industry using structured fields like job_language, job_industry, and job_job_types.
Competitive intelligence	Track hiring trends of competitors by company_name and job_title across regional Glassdoor sites.
Location strategy	Combine job_location and radius filters to evaluate hiring intensity in specific metros.
API/data pipeline ingestion	Feed the JSON output into Python/Node pipelines for alerts, dashboards, or CRM enrichment.
Academic & policy research	Study job posting dynamics (e.g., remote adoption, benefits prevalence) using benefits and schedule tags.

Why choose Glassdoor Jobs Scraper?

Glassdoor Jobs Scraper prioritizes precision, reliability, and structured results for automated job-market insights.

• 🎯 Accurate, structured extraction: Combines job SERP data with employer overview enrichment for richer, more reliable rows.
• 🧰 Fine-grained filters: Control salary, age, rating, remote, radius, industry/domain/employer size, job type, and seniority to hone in on relevant roles.
• 📦 Batch-friendly: Run multiple regional searches and export to CSV/JSON — a dependable Glassdoor jobs scraping tool at scale.
• 🔐 Production-ready resilience: Automatic connection escalation with sticky residential ensures continuity when the site is protective.
• 🧑‍💻 Built for developers: Stable JSON fields and live dataset streaming fit API-first, Python, and Node.js workflows.
• 🛡️ Safer than ad hoc tools: Avoid brittle browser extensions and unstable scripts with an Apify-powered Glassdoor jobs scraping script built for repeatability.

Is it legal / ethical to use Glassdoor Jobs Scraper?

Yes — when used responsibly. This actor collects publicly available job listings and employer overview information. You should:

• Scrape only public data and respect Glassdoor’s terms of service.
• Comply with data protection laws (e.g., GDPR, CCPA) where applicable.
• Avoid misuse of data and verify your use case with your legal team if in doubt.
• Note that this tool does not access private profiles or authenticated pages.

Input parameters & output format

Example JSON input

{
  "keyword": "Software Engineer",
  "country": "us",
  "location": "San Francisco, CA",
  "maxItems": 200,
  "includeNoSalaryJob": false,
  "companyName": "",
  "minSalary": 0,
  "maxSalary": 0,
  "fromAge": "ANY",
  "jobType": "all",
  "radius": "18",
  "industryType": "ALL",
  "domainType": "ALL",
  "employerSizes": "ALL",
  "applicationType": "ALL",
  "remoteWorkType": "ANY",
  "seniorityType": "all",
  "minRating": "0",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Parameters

Field	Type	Description	Default	Required
keyword	string	Main search text (role, skills, or title).	"Software Engineer" (prefill)	No
maxItems	integer	Max jobs per search run (after filters).	200 (min 1, max 500)	No
country	string	Regional Glassdoor site to use.	"us"	No
location	string	City or region text filter.	""	No
includeNoSalaryJob	boolean	Include listings without pay data when true.	false	No
companyName	string	Employer name substring filter.	""	No
minSalary	integer	Minimum salary (site’s local currency).	0	No
maxSalary	integer (nullable)	Maximum salary (site’s local currency). Use 0 or leave empty for no limit.	null/0	No
fromAge	string	Listing freshness: ANY, 1, 3, 7, 14, or 30 (days).	"ANY"	No
jobType	string	Contract/work style: all, fulltime, parttime, contract, temporary, temp-to-hire, internship, entrylevel, apprenticeship.	"all"	No
radius	string	Search radius around location: 0, 6, 12, 18, 31, 62, 124 (km).	"18"	No
industryType	string	Industry focus: ALL or one of the listed sectors.	"ALL"	No
domainType	string	Job family/domain selection.	"ALL"	No
employerSizes	string	Employer size: ALL, TINY, SMALL, MEDIUM, LARGE, HUGE.	"ALL"	No
applicationType	string	Application flow filter: ALL, EASY_APPLY_INCLUDED, EASY_APPLY_ONLY.	"ALL"	No
remoteWorkType	string	Remote filter: ANY or REMOTE_ONLY.	"ANY"	No
seniorityType	string	Career stage: all, internship, entrylevel, midseniorlevel, director, executive.	"all"	No
minRating	string	Minimum employer rating: 0–5.	"0"	No
proxyConfiguration	object	Optional Apify Proxy settings for reliability/region.	{"useApifyProxy": false}	No

Note (advanced): You can also provide an array of Glassdoor job search URLs via urls or startUrls in raw JSON input to run multiple SERP queries in one job. When present, keyword/country are ignored for those runs.

Example JSON output (single item)

{
  "job_title": "Software Engineer",
  "job_id": "1234567890",
  "job_normalized_title": "software engineer",
  "job_url": "https://www.glassdoor.com/Job/software-engineer-jobs-SRCH_KO0,16.htm?jobListingId=1234567890",
  "job_location": {
    "unknown": "San Francisco, CA",
    "city": "san francisco",
    "country": "us",
    "zip": "94107"
  },
  "job_description": "We are seeking a Software Engineer...",
  "job_description_html": "<div>We are seeking a Software Engineer…</div>",
  "job_posted_date": "2026-04-20",
  "job_remote": true,
  "job_salary": {
    "currency": "USD",
    "currency_symbol": "$",
    "pay_period": "year",
    "estimated": true
  },
  "job_candidate_numbers": null,
  "job_job_types": ["fulltime"],
  "job_levels": "mid-level",
  "job_benefits_tags": ["health insurance", "401(k)", "paid time off"],
  "job_shifts_and_schedule_tags": ["day shift", "flexible hours"],
  "job_sponsored": false,
  "job_industry": "Information Technology",
  "job_language": "en",
  "job_poster_first_name": null,
  "job_poster_last_name": null,
  "job_poster_linkedin_profile_url": null,
  "company_uri_providers": [
    {
      "provider": "glassdoor",
      "url": "https://www.glassdoor.com/Overview/Working-at-Example-EI_IE12345.htm"
    }
  ],
  "company_name": "Example Inc.",
  "company_short_name": "Example",
  "company_logo": "https://media.glassdoor.com/sqll/12345/logo.png",
  "company_headquarters_location": {
    "city": "san francisco",
    "unknown": "San Francisco, CA"
  },
  "company_sizes_str": "1,001 to 5,000 Employees",
  "company_size": null,
  "company_website": "https://example.com",
  "company_revenue": "$500 million to $1 billion (USD)",
  "company_url": "https://www.glassdoor.com/Overview/Working-at-Example-EI_IE12345.htm",
  "company_description": "We build software at scale...",
  "company_tag_line": "Mission-driven engineering",
  "company_linkedin_follower_count": null,
  "company_industries": ["Information Technology"],
  "company_locations": null,
  "all": {
    "...": "Full enriched raw payload for reference"
  }
}

Fields like zip, benefits, schedule tags, industry, and descriptions may be null or missing depending on availability in the original listing.

FAQ

Do I need a Glassdoor account or login to use this?

No. The actor collects publicly available job search and employer overview data and does not authenticate to Glassdoor.

Can I run multiple Glassdoor searches in one job?

Yes. You can pass multiple Glassdoor job search SERP URLs via urls or startUrls in the raw JSON input to batch runs in a single execution.

What’s the maximum number of jobs I can collect per search?

You control this with maxItems. The default is 200 and you can set up to 500 per search run.

Which regional Glassdoor sites are supported?

The country parameter supports many regional sites, including us, gb, de, fr, sg, jp, kr, and more. Choose the regional site that matches your search.

Can I export results to CSV?

Yes. All results are pushed to the Apify dataset during the run. You can export the dataset to CSV or JSON from the run’s Dataset tab.

Does it support remote-only filtering and Easy Apply?

Yes. Use remoteWorkType to filter remote‑only roles and applicationType to include or focus on Easy Apply listings.

What data does each result include?

Each row includes job fields (title, id, url, location, salary, description, posted date, types, levels, benefits, schedule) and company fields (name, URL, logo, HQ, size, revenue, industries) plus a comprehensive all payload for advanced analysis.

How does it handle site protection or access issues?

The actor uses a proxy ladder: it starts direct, escalates to Apify DATACENTER, then to Apify RESIDENTIAL with retries. After a successful residential response, it uses sticky residential for the rest of the run.

Closing CTA / Final thoughts

Glassdoor Jobs Scraper is built for reliable, large‑scale extraction of Glassdoor job postings with rich company context. With robust filtering, resilient connection handling, and structured JSON output, it helps recruiters, analysts, and researchers streamline job-market intelligence and “scrape Glassdoor jobs” efficiently. Export to CSV/JSON for immediate use, or integrate with your Python/Node pipelines as a Glassdoor jobs API alternative. Start extracting smarter job insights and automate your Glassdoor job posting extraction today.