Glassdoor Salaries Scraper

What this Actor scrapes

Glassdoor publishes crowdsourced base-pay and total-pay percentiles for thousands of job titles, with an optional per-company breakdown — but the site has no export button and no public API. This Actor searches Glassdoor's own salary pages and writes one structured row per job-title (optionally per-company) benchmark: base pay, total pay (25th/median/75th percentile), currency, pay period, and a pay-mix breakdown (commission, profit-sharing, tips) when Glassdoor exposes one. No Glassdoor login is required — the percentile data is visible on the public page.

What we handle for you

• 🛡️ We rotate browser fingerprints — curl-cffi impersonates real Chrome / Firefox / Safari TLS handshakes so Glassdoor sees a browser, not Python.
• 🌐 We rotate proxy exit IPs and session IDs through Apify Proxy on every block.
• 🔁 We retry with exponential backoff on 408 / 429 / 5xx and rotate fingerprints on a Cloudflare challenge — up to 5 attempts per page, Retry-After honoured.
• 🧱 We back off when Glassdoor rate-limits — partial results surface with a clear status message; we never silently return an empty dataset.
• 🧊 Clean, typed dataset rows — Pydantic-validated, ISO-8601 timestamps, ready for JSON / CSV / Excel export straight from the Apify Console.
• 💰 You pay only for results that land. No data → no charge, only the small actor-start warm-up fee.

Use cases

• Compensation benchmarking — pull current base/total-pay percentiles for a role family into your comp-planning sheet.
• Offer calibration — check a candidate's ask against Glassdoor's crowdsourced range for that title (and company, if you scope it).
• Comp-team market scans — sweep dozens of job titles at once, on a schedule, to track how published ranges shift.
• Company-specific pay research — resolve a target employer once (or supply its employerId directly) and pull every title you care about at that company.

Input

Paste this into the Apify Console, or send it as the run input over the API. Proxy settings are on by default; you rarely need to touch them.

{
  "searchMode": "title",
  "jobTitles": [
    "Software Engineer"
  ],
  "companyNames": null,
  "employerIds": null,
  "locations": null,
  "maxResults": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Output

One row per result, schema-validated before it is written. Export JSON, CSV, Excel or XML from the run, or read it over the API.

job_titlecompany_nameemployer_idlocationbase_pay_25thbase_pay_medianbase_pay_75thtotal_pay_25thtotal_pay_mediantotal_pay_75thcurrency_codepay_periodadditional_pay_breakdownsample_sizesource_urlscraped_at

{
  "job_title": "Software Engineer",
  "company_name": "Google",
  "employer_id": 9079,
  "location": null,
  "base_pay_25th": null,
  "base_pay_median": 150000.0,
  "base_pay_75th": null,
  "total_pay_25th": 240111.12,
  "total_pay_median": 296307.52,
  "total_pay_75th": 374773.68,
  "currency_code": "USD",
  "pay_period": "ANNUAL",
  "additional_pay_breakdown": [
    {
      "component": "COMMISSION",
      "median": 0.0
    },
    {
      "component": "PROFITSHARING",
      "median": 45000.0
    },
    {
      "component": "TIPS",
      "median": 0.0
    }
  ],
  "sample_size": null,
  "source_url": "https://www.glassdoor.com/Salary/Google-Software-Engineer-Salaries-E9079_D_KO7,24.htm",
  "scraped_at": "2026-08-02T09:00:00+00:00"
}

Pricing

You pay only for results that land. Cap any run with maxTotalChargeUsd. See pricing & billing for worked examples.