Glassdoor Jobs Scraper
Pricing
from $0.30 / 1,000 results
Glassdoor Jobs Scraper
Scrape Glassdoor job listings by keyword with job title, company, company rating, location, job age, industry, Easy Apply flag and pay range with 10th, 50th and 90th percentile. Search many keywords in one run and get up to 900 jobs per keyword.
Pricing
from $0.30 / 1,000 results
Rating
0.0
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Developer
Scrappa
Maintained by CommunityActor stats
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2
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1
Monthly active users
12 hours ago
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Search Glassdoor jobs by keyword and get every listing as one clean row, including the pay range Glassdoor shows. Each job has the title, company with its Glassdoor rating and logo, location, age in days, industry, Easy Apply flag and pay at the 10th, 50th and 90th percentile with its source. Run many keywords at once; a job found by two keywords is saved once.
What data can you extract?
| Field | Type | Description |
|---|---|---|
id | Integer | Glassdoor job listing ID. |
title | String | Job title as posted. |
url | String | Glassdoor page of the job listing. |
company_id | Integer or null | Glassdoor employer ID. Use it with the Glassdoor Reviews Scraper. |
company_name | String or null | Name of the hiring company. |
company_rating | Number or null | Overall Glassdoor rating of the company, from 1 to 5. |
company_logo | String or null | Link to the company logo. |
location | String or null | City and state or region of the job. |
age_days | Integer or null | Days since the job was posted. |
easy_apply | Boolean or null | True when you can apply on Glassdoor directly. Null otherwise. |
industry | String or null | Industry of the company. |
pay_currency | String or null | Three-letter currency code of the pay range. |
pay_period | String or null | Pay period: ANNUAL or HOURLY. Null when Glassdoor shows no pay. |
pay_p10 | Number or null | Lower end of the pay range (10th percentile). |
pay_median | Number or null | Median pay (50th percentile). |
pay_p90 | Number or null | Upper end of the pay range (90th percentile). |
pay_source | String or null | Source of the pay range: EMPLOYER_PROVIDED or ESTIMATED. |
input_keyword | String | Keyword from your input that found this job. |
scraped_at | String | UTC date and time when this record was collected. |
Use cases
- Recruiters can see which companies hire for a role and what pay they offer.
- Job boards and aggregators can add fresh Glassdoor listings with pay ranges.
- Sales teams can find companies that are hiring as warm leads for HR and staffing services.
- Compensation analysts can compare advertised pay ranges by role and location.
- Job seekers can track new listings for their role every day.
How to use
- Add one entry per search to
keywords, for example{"keyword": "data analyst"}. - Set
maxResultsto the number of jobs you want for each keyword. - Start the run. Each job gives one dataset row with the company and pay range.
{"keywords": [{"keyword": "data analyst"}],"maxResults": 30}
Input
| Field | Type | Required | Description |
|---|---|---|---|
keywords | Array<object> | Yes | Job searches to run, one keyword per entry. |
keywords[].keyword | string | Yes per entry | Job title or skill to search for, for example data analyst or registered nurse. |
maxResults | integer | No | Maximum jobs to save for each keyword. Glassdoor shows 30 jobs per page and up to 900 per search. |
maxPages | integer | No | Maximum pages to request for each batch entry. |
Output example
{"id": 1010287734521,"title": "Senior Product Designer, Payments","url": "https://www.glassdoor.com/job-listing/j.htm?jl=1010287734521","company_id": 871234,"company_name": "Northwind Fintech Inc.","company_rating": 4.2,"company_logo": "https://media.glassdoor.com/sql/871234/northwind-fintech-squareLogo-1739021187344.png","location": "Austin, TX","age_days": 6,"easy_apply": true,"industry": "Financial Transaction Processing","pay_currency": "USD","pay_period": "ANNUAL","pay_p10": 118000,"pay_median": 136500,"pay_p90": 158000,"pay_source": "EMPLOYER_PROVIDED","input_keyword": "data analyst","scraped_at": "2026-10-01T12:00:00Z"}
Pricing
$0.38 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.
Pagination follows the source response. Set maxPages per batch entry and maxResults for each entry.
FAQ
Is scraping this information legal?
Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.
What limits apply?
Submit up to 100 batch entries per run. Use maxResults to cap saved items for each entry and maxPages to limit pages for each entry. Results also depend on source availability and your Scrappa API plan.
Can I start runs through the Apify API?
Yes. Send a POST request to https://api.apify.com/v2/acts/thescrappa~glassdoor-jobs-scraper/runs with your Actor input, or use an Apify client library. Read the output from the run dataset.
Can I connect the results to other tools?
Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.
What happens when one input fails?
The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.
Can I filter by location?
Not as a separate field. Glassdoor searches the keyword across its job listings, so add the city to the keyword, for example nurse Chicago, to focus the search.
Why is the pay range sometimes empty?
Glassdoor shows pay only when the employer posted it or Glassdoor has an estimate. The pay_source field says EMPLOYER_PROVIDED or ESTIMATED.
How many jobs can one keyword return?
Up to 900, 30 per page. Use more specific keywords to reach more listings.