Glassdoor Jobs Scraper
Pricing
from $5.00 / 1,000 results
Glassdoor Jobs Scraper
Scrape Glassdoor company job listings by company ID or name. Extract job titles, salaries, locations, easy apply status, job functions, and more. Filter by job function, location, recency, and sort order. Perfect for job market research and recruitment intelligence.
Pricing
from $5.00 / 1,000 results
Rating
0.0
(0)
Developer
Kevin
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0
Bookmarked
1
Total users
0
Monthly active users
2 days ago
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Glassdoor Jobs Scraper | Glassdoor Company Jobs API
Scrape Glassdoor company job listings by company ID. Extract Glassdoor job data including job titles, salaries, locations, easy apply status, salary ranges, job functions, and more. Filter by job function, location, recency, and sort order. The best Glassdoor jobs scraper for job market research, recruitment intelligence, and salary analysis.
❓ What is Glassdoor Jobs Scraper?
Glassdoor Jobs Scraper is a powerful Apify actor that lets you scrape and extract job listings from any company on Glassdoor by company ID. Whether you want to monitor open positions, analyze salary data, track hiring trends, or collect job data for recruitment — this Glassdoor jobs scraper does it all automatically.
With this Glassdoor jobs scraper, you can:
- 💼 Scrape Glassdoor jobs by company — Enter any company ID to extract all job listings
- 📊 Sort by relevance or recency — Get the most relevant or most recent job postings
- 🎯 Filter by job function — Engineering, Marketing, Sales, IT, Finance, and 20+ categories
- 📍 Filter by location — Target jobs in specific cities, states, or countries
- 📅 Filter by recency — Get jobs posted in the last N days
- 💰 Extract salary data — Get salary ranges, currencies, periods, and sources
- 📄 Automatic pagination — Scrape thousands of jobs automatically across multiple pages
🎯 What Data Can You Extract from Glassdoor Jobs?
| Field | Description |
|---|---|
jobId | Unique Glassdoor job identifier |
jobTitle | Job title |
companyName | Company name |
companyLogo | Company logo image URL |
locationName | Job location (city, state) |
jobLink | Direct link to Glassdoor job listing |
easyApply | Whether Easy Apply is available |
ageInDays | Days since the job was posted |
isSponsored | Whether the listing is sponsored |
salaryCurrency | Salary currency (USD, EUR, etc.) |
salaryPeriod | Salary period (ANNUAL, HOURLY) |
salaryMin | Minimum salary |
salaryMax | Maximum salary |
salarySource | Salary data source (EMPLOYER_PROVIDED, ESTIMATED) |
🚀 How to Use Glassdoor Jobs Scraper
Step 1: Enter Company ID
Enter the Glassdoor company ID (e.g., 9079 for Google). You can find the company ID using our Glassdoor Company Search actor.
Step 2: Set Filters (Optional)
| Input | Type | Required | Default | Description |
|---|---|---|---|---|
company_id | Integer | ✅ Yes | 9079 | Glassdoor Company ID |
sort | Enum | ❌ No | MOST_RELEVANT | Sort: MOST_RELEVANT, MOST_RECENT |
job_function | Enum | ❌ No | ANY | Job function filter (24 categories) |
location | String | ❌ No | — | Location filter (e.g., San-Francisco) |
location_type | Enum | ❌ No | ANY | Location type: CITY, STATE, COUNTRY |
max_age_days | Integer | ❌ No | 0 | Max job age in days (0 = anytime) |
domain | String | ❌ No | www.glassdoor.com | Glassdoor domain |
maxResults | Integer | ❌ No | 100 | Maximum jobs to scrape (1-10000) |
Step 3: Run and Download Results
Click Start to run the scraper. Results are available in JSON, CSV, Excel, XML, and RSS formats.
📋 Example Input
{"company_id": 1138,"sort": "MOST_RECENT","job_function": "ENGINEERING","maxResults": 100}
📋 Example Output
{"jobId": 1009852465203,"jobTitle": "SwiftUI Framework Engineer","companyName": "Apple","companyLogo": "https://media.glassdoor.com/sql/1138/apple-squarelogo-1595530154096.png","locationName": "Cupertino, CA","jobLink": "https://www.glassdoor.com/job-listing/swiftui-framework-engineer-apple-JV_IC1147422_KO0,26_KE27,32.htm?jl=1009852465203","easyApply": false,"ageInDays": 0,"isSponsored": false,"salaryCurrency": "USD","salaryPeriod": "ANNUAL","salaryMin": 126800,"salaryMax": 190900,"salarySource": "EMPLOYER_PROVIDED"}
🎨 Dataset Views
| View | Description |
|---|---|
| 📊 Jobs Overview | Job title, company, location, salary range, easy apply, link |
| 💰 Salary Details | Currency, period, min/max salary, source, location |
💡 Use Cases
- Job Market Research — Analyze job openings, salary ranges, and hiring trends
- Recruitment Intelligence — Monitor competitor hiring activity and open positions
- Salary Analysis — Compare salary data across roles, locations, and companies
- Career Research — Discover job opportunities and salary expectations
- HR Analytics — Track hiring patterns and job function distribution
🔗 Related Actors
If you're looking for more Glassdoor data, check out our other scrapers:
- Glassdoor Reviews Scraper 📝 — Extract detailed company reviews, ratings, pros, and cons.
- Glassdoor Company Search 🏢 — Find Glassdoor company IDs, ratings, sizes, and industry info.
🏷️ Tags
glassdoor glassdoor scraper glassdoor jobs glassdoor jobs scraper job scraper glassdoor api job listings salary data glassdoor crawler glassdoor extractor job market research recruitment hiring trends salary analysis company jobs job search glassdoor data
🎁 Get $5 Free Apify Credits
New to Apify? Sign up using this link and get $5 free credits to start scraping Glassdoor right away! No credit card required.
📞 Support
For questions, feedback, or issues, please contact us through Apify or open an issue.
Happy scraping Glassdoor jobs! 💼✨