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Company Job Salary
Company Job Salary 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 estimated salary ranges (min, median, max, base, and additional pay) for a specific job title at a named company, optionally filtered by location and years of experience.
Price / call—
Success—
StatusUnknown
How this service works
Get estimated job salaries/pay in a specific company by job title and optionally a location and experience level in years.
Output
An array of salary estimate objects, each containing company name, job title, location, salary period (HOUR/DAY/WEEK/MONTH/YEAR), currency (ISO 4217), and numeric min/median/max figures for total salary, base salary, and additional pay (bonuses/stock). A confidence indicator (CONFIDENT or NOT_CONFIDENT) and the count of underlying data points are also returned when available.
Example use cases
Job offer salary negotiation research
“I just got an offer from Microsoft for a senior product manager role in New York — can you look up what Microsoft typically pays for that title with 7 to 9 years of experience so I know if the offer is competitive?”
Benchmarking pay across experience levels
“I'm curious how much Google pays data scientists at different career stages — can you pull the salary estimates for entry level (less than one year), mid-level (4 to 6 years), and senior (ten to fourteen years) in the US?”
Remote job compensation check by country
“I'm considering a remote job at Shopify as a software developer — what's the estimated salary range for that role in Canada, including base salary and any bonus or stock pay?”
Technical details
Endpoint
GEThttps://agents.openwebninja.com/jsearch/company-job-salary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, filterable salary estimates tied to a specific named company rather than industry-wide averages. It is ideal for job offer evaluation, internal compensation benchmarking, or HR research where company-specific data and experience-level filtering matter. Prefer this over generic job-search endpoints when the user already knows the company and wants compensation data rather than job listings.
Side effects
- No data found for the given company/job title combination — returns empty data array
- Ambiguous company name yields results for wrong entity
- Low salary_count leads to NOT_CONFIDENT estimates with wide ranges
- Location type mismatch (e.g. passing a city name with location_type=COUNTRY) reduces accuracy
- Missing required fields (company or job_title) results in a 400/422 validation error
- Rate limit or payment failure results in 402 or 429 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| companyrequired | string | The company name for which to get salary information (e.g. Amazon). |
| location | string | Free-text location/area in which to get salary estimation. |
| job_titlerequired | string | Job title for which to get salary estimation. |
| 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 |
|---|---|---|
| datarequired | array | Array of salary estimate entries for the requested company and job title (empty if no data is available). |
| statusrequired | string | The status of the API response. |
| request_idrequired | string | A unique ID to trace the API request. |
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