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Job Salary Estimator
Job Salary Estimator 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) for a given job title and location, broken down by pay period and experience level.
Price / call—
Success—
StatusUnknown
How this service works
Get estimated salaries / pay for a jobs around a location by job title and location. The salary estimation is returned for several periods, depending on data availability / relevance, and includes: hourly, daily, weekly, monthly, or yearly.
Output
An array of salary estimate objects, each covering a specific pay period (HOUR, DAY, WEEK, MONTH, YEAR). Each object includes the location, job title, salary currency, min/max/median total salary, min/max/median base salary, min/max/median additional pay (bonuses, stock, etc.), a confidence level (CONFIDENT or NOT_CONFIDENT), the number of data points used, the salary publisher name (e.g. Glassdoor), a link to the publisher's page, and a timestamp of when the data was last updated.
Example use cases
Salary benchmarking for job offer
“I just got a job offer for a Product Manager role in Seattle — can you tell me the typical salary range for that position there, especially for someone with 4 to 6 years of experience, so I know if the offer is competitive?”
Recruiting budget planning for HR
“We're hiring a Node.js developer in New York City. What's the current estimated salary range — hourly and yearly — so we can set our budget correctly?”
Career research by experience level
“I'm considering switching careers to become a data analyst. What kind of salary could I expect in Chicago if I have less than one year of experience, versus if I had one to three years?”
Technical details
Endpoint
GEThttps://agents.openwebninja.com/jsearch/estimated-salary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, multi-period salary estimates (hourly through yearly) with confidence scoring and base vs. additional pay breakdown, filterable by experience level. It aggregates data from publishers like Glassdoor, making it ideal for compensation benchmarking, recruiting budget planning, or career research. Prefer it over generic web search when you need machine-readable, structured salary data with source attribution.
Side effects
- No salary data available for the given job title and location combination — returns empty data array
- Invalid or unrecognized location string — may return empty results or low-confidence estimates
- Unsupported years_of_experience or location_type enum value — returns validation error
- Rate limiting or payment failure — returns 402 or 429 HTTP status
- Very niche job titles may return NOT_CONFIDENT estimates or no results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| fields | string | A comma separated list of job salary fields to include in the response (field projection). By default all fields are returned. |
| locationrequired | string | Location 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 (one per matched location/publisher). |
| statusrequired | string | The status of the API response. |
| parametersrequired | object | The parameters the API received and used for this request, echoed back. |
| request_idrequired | string | A unique ID to trace the API request. |
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