Salary Estimate at One Company
View all Glassdoor Employer Data endpoints →Pay benchmark for one role at one employer. Pass company_id and job_title (e.g. software engineer), plus an optional location with location_type and a years_of_experience band, and receive a single data estimate: min_salary, median_salary and max_salary for total pay, min/median/max_base_salary and min/median/max_additional_pay splits, salary_period (e.g. YEAR), salary_currency (e.g. USD), the salary_count of employee reports behind the figure and a confidence label (e.g. CONFIDENT). Verified live: a software-engineer estimate at Google resolved nationally with more than 51,000 reports and a CONFIDENT grade. Use it for like-for-like comparisons at a specific company; use salary-estimate for company-agnostic market rates.
API Features
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/api/project/glassdoor/company-salaries API Response (JSON)
{} curl -X GET 'https://api.opendata-api.com/api/project/glassdoor/company-salaries?key=<API_KEY>&company_id=9079&job_title=software+engineer'
Query Result
Use Cases
- Offer-evaluation tool comparing a candidate's offer against the company median and range for the role
- Compensation benchmarking table across target employers for the same job title
- Recruiter enablement with real min, max and median figures per company, role and experience band
- Pay-equity analysis contrasting bands by location within one employer
Frequently asked questions
Where can I get salary comparison data?
This endpoint returns min, median and max pay with sample size and confidence for one company plus job title. For cross-company market rates, pair it with the market salary estimate endpoint — together they complete the comparison.
What does the confidence label mean?
The confidence value (for example CONFIDENT) reflects the sample size and quality behind the estimate. Read it together with salary_count, and flag low-sample titles as indicative rather than exact.
Can I break estimates down by experience?
years_of_experience offers six bands from under one year to 15-plus; omit it for a blended estimate across all experience levels.