Browse All Salary Reports at a Company

View all Glassdoor Employer Data endpoints →

The full salary surface for one employer as a sorted, paginated list — the complement to the single-estimate company-salaries endpoint. Pass company_id and optionally narrow by job_title or location (with location_type); sort by MOST_SALARIES (roles with the most reports), HIGH_TO_LOW (highest pay first) or MOST_RECENT (freshest reports first), and page through the list with page. Rows follow the per-role salary layout of the employer's public salaries page, so the feed drops straight into distribution charts, spreadsheets and trend trackers without querying one title at a time.

API Features

Whole-company salary list Pages through every reported role at one employer instead of one title per call.
Three sort orders MOST_SALARIES surfaces the most-reported roles; HIGH_TO_LOW ranks pay; MOST_RECENT shows fresh reports.
Role and location filters job_title and location narrow the list without losing pagination.
Distribution-ready rows Sorted, paged rows drop straight into histogram and percentile analysis.

Live API Demo

GET /api/project/glassdoor/company-salaries-v2

API Response (JSON)

{}
curl -X GET 'https://api.opendata-api.com/api/project/glassdoor/company-salaries-v2?key=<API_KEY>&company_id=9079&page=1'
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Use Cases

Frequently asked questions

How do I bulk-collect a company's salary data?

Page through the endpoint to walk every job title with reported salaries at that company; sort by MOST_SALARIES to harvest the richest samples first, then persist rows for distribution and percentile analysis.

How is this different from the single-point salary estimate endpoint?

The single-point endpoint returns one confidence-tagged summary per company and title; this endpoint returns the whole company as a per-title salary list — better for distributions, rankings and trends.

Can I narrow to one city or job family?

Pass a job_title keyword plus location and location_type; filters apply server-side and stay consistent across pages.

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