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Company Salaries (Glassdoor)
Company Salaries (Glassdoor) is a paid API for AI agents from agents.openwebninja.com, paid per call via MPP, price unknown, status unknown (last checked 2026-10-14).
Returns salary estimations (min, median, max) for a specific job title at a named company, optionally filtered by location and experience level, sourced from real-time Glassdoor data.
Price / call—
Success—
StatusUnknown
How this service works
Get salary estimation in a specific company by job title and location (optional).
Output
Returns a data object containing the company name and ID, job title, location, salary period and currency, confidence level, number of salary data points, and the minimum, median, and maximum values for both base salary and additional pay (bonus/equity), giving a full compensation picture for the queried role.
Example use cases
Salary negotiation research for job offer
“I just got an offer from Salesforce — what's the typical salary range for a software engineer there in San Francisco, especially for someone with 7 to 9 years of experience? Use their Glassdoor company ID 11-8-3.”
HR compensation benchmarking by role
“I'm setting salary bands for data scientists at our company. Can you pull the Glassdoor salary data for data scientists at Amazon, company ID 6036, in Seattle, for all experience levels?”
Career switch total compensation check
“I'm considering moving into product management at Microsoft — what does Glassdoor say about the median and max total comp for a product manager there in the US? Microsoft's company ID is 1651.”
Technical details
Endpoint
GEThttps://agents.openwebninja.com/realtime-glassdoor-data/company-salaries?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured, real-time salary data from Glassdoor for a specific company and job title combination, especially when you need to filter by location or years of experience. Prefer it over generic job market salary APIs when company-specific compensation benchmarks are required, or when building compensation analysis workflows that need Glassdoor's crowd-sourced dataset broken down into base pay and additional pay components.
Side effects
- Invalid or unknown company_id returns no data or an error status
- Job title with no matching Glassdoor records returns empty or low-confidence result
- Unsupported location string returns salary data without location filtering
- Mismatched domain and location country may return irrelevant regional data
- Rate limits or payment issues return 402 or 429 status codes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| domain | string | The Glassdoor domain to use. |
| location | string | The location for which to get salary estimation (e.g. San-Francisco). |
| job_titlerequired | string | The job title for which to get salary estimation. |
| company_idrequired | string | Company ID |
| location_type | string | Specify the type of the location you are looking to get salary estimation for additional accuracy. |
| years_of_experience | string | Get job estimation for a specific experience level range (years). |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| status | string | Status of the API request |
| parameters | object | |
| request_id | string | Unique identifier for the request |
Reviews
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