Glassdoor Job Scraper 💰$0.29/1k - Salary & Ratings

What does Glassdoor Job Scraper do?

Glassdoor Job Scraper extracts structured job data from glassdoor.com — job titles, companies, locations, salary estimates, employer ratings, apply URLs, full descriptions, company metadata and remote-work indicators. It covers 21 country sites, from www.glassdoor.com and www.glassdoor.co.uk through to www.glassdoor.jp, and supports keyword search, location filters, country selection, result limits, detail enrichment, company profiles, notifications, compact output and incremental monitoring — so you can run the same query consistently over time.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🌎 21-market coverage — one actor, one input shape across 21 country sites: the US, UK, Canada, Ireland, Australia, New Zealand, India, Singapore, Hong Kong, Japan, Brazil, Mexico, Argentina, Germany, France, Netherlands, Belgium, Austria, Switzerland, Spain and Italy.
• ♻️ Incremental monitoring — recurring runs emit only NEW, UPDATED, and REAPPEARED records, with opt-in unchanged or expired records for full lifecycle tracking. Saves 80–95% on daily monitoring.
• 📋 Detail and company enrichment — fetch full job descriptions, salary fields, requirements, benefits, apply links, company ratings, and company profile fields where available.
• 🔔 Notifications and webhooks — send job alerts to Telegram, Slack, Discord, WhatsApp Cloud API, or a generic webhook, with change-only notifications for monitoring workflows.
• 📧 Email, phone, and URL extraction — every record carries extractedEmails[], extractedPhones[], extractedUrls[], and structured socialProfiles regex-pulled from the description for direct-outreach lists.
• 📦 AI-ready output controls — compact mode, description length limits, single-format descriptions, and empty-field exclusion keep payloads manageable for agents and automation.
• 📤 Send results to your apps — opt in to deliver results straight into a connected app (such as Notion) via your Apify account integrations, with no extra export step.

What data can you extract from glassdoor.com?

Each result includes Core job fields (jobId, jobKey, title, location, salaryText, salaryMin, salaryMax, and salaryCurrency, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionLength, benefits, and detailFetched), apply information (applyUrl), and company metadata (company, companyUrl, companyRating, and companyReviewsCount). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company profiles where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords. Use JSON array for multi-query.
• country — Which Glassdoor domain to search (21 markets). (default: "US")
• location — City, state, or region. Use JSON array for multi-location.
• startUrls — Direct Glassdoor search or job detail URLs.
• maxResults — Maximum total job listings to return. Uses 1024 MB memory for ≤25 results, 2048 MB for 26+. If both maxResults and maxPages are set, the lower cap wins. (default: 25)
• maxPages — Maximum SERP pages to scrape per search source. If both maxResults and maxPages are set, the lower cap wins. (default: 5)
• postedDays — Only return jobs posted within this many days. Snapped to nearest valid: 1, 3, 7, or 14.
• jobType — Filter by employment type.
• remoteFilter — Filter by remote work arrangement.
• radius — Radius around the location in miles/km (5, 10, 15, 25, 35, 50, or 100). Snapped to nearest valid value.
• sort — Sort results by relevance or posting date. (default: "relevance")
• easyApply — Return only jobs marked as Easy Apply. Detail enrichment is enabled automatically when this filter is used.
• ...and 27 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "jobType": "fulltime",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "a3ab7c825d9e6d2e3bfaa653dfdadb1c71b569453fe20ec70e9271e962a82dc2",
  "jobKey": "1010090472882",
  "title": "AI Manager",
  "company": "Leonard Truck & Trailer",
  "location": "North Jackson, OH",
  "description": "Leonard Truck & Trailer is a family-owned and operated dealership specializing in trucks and trailers, established in 1963. We pride ourselves on building trusting relationships with our employees, cu...",
  "descriptionHtml": "<p>Leonard Truck &amp; Trailer is a family-owned and operated dealership specializing in trucks and trailers, established in 1963. We pride ourselves on building trusting relationships with our employ...",
  "descriptionLength": 2930,
  "salaryText": "USD 25.38–30.57 HOURLY",
  "salaryMin": 25.379808,
  "salaryMax": 30.570192,
  "salaryCurrency": "USD",
  "salaryType": "HOURLY",
  "employmentType": "Full-time",
  "postedDate": "2026-04-04",
  "canonicalUrl": "https://www.glassdoor.com/job-listing/ai-manager-leonard-truck-trailer-JV_IC1146396_KO0,10_KE11,32.htm?jl=1010090472882",
  "applyUrl": "https://www.glassdoor.com/partner/jobListing.htm?pos=101&ao=1110586&tgt=APPLY_START&s=58&guid=0000019d5a700f54853a18cbd35c5258&src=GD_JOB_VIEW&t=NS&vt=w&ea=1&cs=1_9727b676&cb=1775338786751&jobListingI...",
  "portalUrl": "https://www.glassdoor.com",
  "sourceUrl": "https://www.glassdoor.com/job-listing/ai-manager-leonard-truck-trailer-JV_IC1146396_KO0,10_KE11,32.htm?jl=1010090472882",
  "sourceCountry": "US",
  "sourceDomain": "www.glassdoor.com",
  "searchQuery": "software engineer",
  "searchUrl": "https://www.glassdoor.com/Job/jobs.htm?sc.keyword=software+engineer&locT=&locKeyword=New+York",
  "isSponsored": false,
  "locationCity": "North Jackson, OH",
  "locationRegion": "Ohio",
  "locationCountry": "United States",
  "isRemote": false,
  "locationFormatted": "North Jackson, OH",
  "companyRating": 1.9,
  "companyLogoUrl": "https://media.glassdoor.com/sql/1718860/leonard-truck-and-trailer-squarelogo-1633681945375.png",
  "scrapedAt": "2026-04-04T21:38:26.917Z",
  "detailFetched": true,
  "contentQuality": "full",
  "latitude": 41.1,
  "longitude": -80.8575,
  "companyIndustry": "Vehicle Dealers",
  "companyEmployeeRange": "Unknown",
  "companyEmployeeRangeRaw": "Unknown",
  "companySectorNames": [
    "Retail & Wholesale"
  ],
  "companyRevenue": "Unknown / Non-Applicable",
  "companyHeadquarters": "North Jackson, OH",
  "companyWebsite": "https://www.leonardtrailers.com",
  "companyCeo": "Clint Leonard"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape glassdoor.com

1. Go to Glassdoor Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from glassdoor.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Collect ratings and reviews for reputation monitoring and benchmarking.

How much does it cost to scrape glassdoor.com?

Glassdoor Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.001 per run
• Per result: $0.00029 per job record

Example costs:

• 10 results: $0.0039
• 25 results: $0.00825
• 100 results: $0.03
• 200 results: $0.059
• 500 results: $0.15

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.03	$0.00245	$0.03 (92%)	$0.07
15% — moderate broad query	$0.03	$0.00535	$0.02 (82%)	$0.16
30% — high-volume aggregator	$0.03	$0.0097	$0.02 (68%)	$0.29

Full re-scrape monthly cost at daily polling: $0.90. First month with incremental costs $0.10 / $0.19 / $0.31 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from glassdoor.com?

The number of results depends on the search query and available jobs on glassdoor.com. Use the maxResults parameter to control how many results are returned per run.

Does Glassdoor Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Glassdoor Job Scraper with other apps?

Yes. Glassdoor Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Glassdoor Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Glassdoor Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape glassdoor.com?

This actor extracts publicly available data from glassdoor.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

You might also like

• ⚡ LinkedIn Job Scraper — Salary, Company & No Cookies — 💰 $0.27 per 1,000 jobs ✅ Scrape linkedin.com job postings without login or cookies: salary, skills.
• 💰 LinkedIn Salary Scraper — Job Pay Ranges & Compensation — 💰 $0.27 per 1,000 results ✅ Scrape linkedin.com job salaries & pay ranges without login or cookies.
• Actiris Brussels Job Scraper — Scrape all active job listings from actiris.brussels — official Brussels public employment service..
• AMS Austria Job Scraper — Austrian Public Employment Service — Scrape jobs.ams.at — Austria's official AMS public employment portal, branded "alle jobs" ("all.
• APEC.fr Scraper - French Executive Jobs — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,.
• Arbeitsagentur Jobs Feed — German Federal Employment Agency — Scrape arbeitsagentur.de — Germany's official public employment portal with over 1 million live job.
• Arbetsformedlingen Job Scraper — Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment portal. Returns 84.
• Bayt.com Scraper — MENA Jobs with Salary & Skills Filter — Scrape bayt.com — the leading Middle East job board spanning UAE, Saudi Arabia, Qatar, Egypt.

Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on glassdoor.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Glassdoor's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Glassdoor.

Search keywords

glassdoor scraper, glassdoor api, apify glassdoor, glassdoor data extraction, glassdoor.com scraper, glassdoor.com data, glassdoor.co.uk scraper, glassdoor.ca scraper, glassdoor.com.au scraper, glassdoor.co.in scraper, glassdoor.de scraper, glassdoor.fr scraper, glassdoor.nl scraper, glassdoor.be scraper, glassdoor.at scraper, glassdoor.ch scraper, glassdoor.es scraper, glassdoor.it scraper, glassdoor.ie scraper, glassdoor.com.br scraper, glassdoor.com.mx scraper, glassdoor.com.ar scraper, glassdoor.sg scraper, glassdoor.com.hk scraper, glassdoor.co.nz scraper, glassdoor.jp scraper, glassdoor united states, glassdoor united kingdom, glassdoor canada, glassdoor australia, glassdoor india, glassdoor germany, glassdoor france, glassdoor netherlands, glassdoor belgium, glassdoor austria, glassdoor switzerland, glassdoor spain, glassdoor italy, glassdoor ireland.