## Glassdoor Salaries Scraper
**💰 $2.02 / 1 000 results** · pay only for results · no credit card to try
*We do the dirty work so your dataset stays clean.* 😈
Scrape Glassdoor salary benchmarks by job title, optionally scoped to a specific company. Get base-pay and total-pay percentiles, currency, pay period, and a pay-mix breakdown per row — ready for CSV, JSON, or API export, no login required.
***
### 🎯 What this 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.
### ⚙️ How to use it
1. Click **Try for free** at the top of the page.
2. Fill in the input form — most fields have sensible defaults.
3. Click **Start**. Output streams into the run's dataset.
4. Export from **Storage → Dataset** as JSON, CSV, or Excel — or fetch via the API.
### 📥 Input
| Field | Type | Required | Default | Notes |
|---|---|:--:|---|---|
| `searchMode` | `string` | no | 'title' | 'title' scrapes national/aggregate salary benchmarks per job title via the title-search results page.… |
| `jobTitles` | `array` | **yes** | \['Software Engineer'] | One or more job titles to search, e.g. 'Software Engineer'. Required — this is the primary search key. |
| `companyNames` | `array` | no | '—' | Company names to scope results to. Required when Search mode is 'title\_at\_company'. |
| `employerIds` | `array` | no | '—' | Power-user shortcut: known Glassdoor employerId values, paired positionally with Company names. Skips the… |
| `locations` | `array` | no | '—' | Optional location filter, applied best-effort against whatever location signal the page exposes. |
| `maxResults` | `integer` | no | 50 | Hard cap on dataset rows for this run. |
| `proxyConfiguration` | `object` | no | {'useApifyProxy': True} | Apify Proxy configuration. Glassdoor runs Cloudflare and degrades to 403/429 under burst traffic, so we rotate session… |
#### Example input
```json
{
"searchMode": "title",
"jobTitles": [
"Software Engineer"
],
"companyNames": null,
"employerIds": null,
"locations": null,
"maxResults": 3,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
### 📤 Output
Every row is one dataset item.
| Field | Type | Notes |
|---|---|---|
| `job_title` | `string` | Requested or page-confirmed job title. |
| `company_name` | `['string', 'null']` | Company name; null for title-only aggregate rows. |
| `employer_id` | `['integer', 'null']` | Glassdoor's internal employerId; null when the page doesn't expose one. |
| `location` | `['string', 'null']` | Best-effort echo of the requested location filter. |
| `base_pay_median` | `['number', 'null']` | Pay-mix BASE component median. |
| `total_pay_25th` | `['number', 'null']` | Total-pay 25th percentile. |
| `total_pay_median` | `['number', 'null']` | Total-pay median. |
| `total_pay_75th` | `['number', 'null']` | Total-pay 75th percentile. |
| `currency_code` | `string` | ISO currency code, e.g. 'USD'. |
| `pay_period` | `string` | Pay period, e.g. 'ANNUAL'. |
| `additional_pay_breakdown` | `['array', 'null']` | Pay-mix entries other than BASE (commission, profit-sharing, tips), each {component, median}. |
| `sample_size` | `['integer', 'null']` | Glassdoor's submission-count field, if present. |
| `source_url` | `string` | The fetched page URL, verbatim. |
| `scraped_at` | `string` | ISO-8601 UTC row-construction timestamp. |
#### Example output
```json
{
"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
Pay-Per-Event — you pay only when these events fire:
| Event | USD | What it is |
|---|---:|---|
| `actor-start` | $0.02 | One-off warm-up charge per run |
| `result-row` | $0.002 | Per unique dataset item |
Example: 1 000 results at the rates above ≈ **$2.02**. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.
### 🚧 Limitations
base\_pay\_25th / base\_pay\_75th stay null in v1 — only the BASE pay-mix median is confirmed present on every page we've verified. locations is a best-effort echo of your filter, not a server-side Glassdoor query parameter. title\_at\_company without Employer IDs costs a resolution request (search page) before the detail-page fetch, doubling request volume for that pair — supply Employer IDs directly to skip it.
### ❓ FAQ
**Do I need a Glassdoor account or API key?**
No. Base-pay and total-pay percentiles are visible on Glassdoor's public salary pages without logging in — we don't require or ask for credentials.
**What's the difference between 'title' and 'title\_at\_company' mode?**
'title' pulls national/aggregate benchmarks per job title across companies. 'title\_at\_company' resolves a specific (job title, company) pair to that company's own detail page — supply Employer IDs directly if you already know them to skip the extra resolution request.
**Why are base\_pay\_25th and base\_pay\_75th sometimes null?**
Glassdoor's pay-mix breakdown confirms a BASE median on every page we've verified, but not always a 25th/75th split for that component — we surface exactly what the page exposes, never an estimate.
**Why did my run come back with fewer rows than Max results?**
Glassdoor rate-limits aggressively under bursts. We rotate fingerprints and back off automatically and retry per target, but a run can still land short of the cap if a specific title/company genuinely has no match.
### 💬 Your feedback
Spotted a bug, hit a weird edge case, or need a new field? Open an
issue on the Actor's **Issues** tab on Apify Console — we ship
fixes weekly and we read every report.
***
Built by **[Devil Scrapes](https://apify.com/DevilScrapes)** 😈 — a small fleet of
opinionated public-data Actors. Honest pricing, real engineering, zero fine print.
# Actor input Schema
## `searchMode` (type: `string`):
'title' scrapes national/aggregate salary benchmarks per job title via the title-search results page. 'title\_at\_company' resolves each (job title, company) pair to a company+title detail page.
## `jobTitles` (type: `array`):
One or more job titles to search, e.g. 'Software Engineer'. Required — this is the primary search key.
## `companyNames` (type: `array`):
Company names to scope results to. Required when Search mode is 'title\_at\_company'. Resolved to Glassdoor's internal employerId via the title-search results listing unless Employer IDs is also set.
## `employerIds` (type: `array`):
Power-user shortcut: known Glassdoor employerId values, paired positionally with Company names (one employerId per company, reused across every requested title). Skips the search-results resolution hop entirely when set.
## `locations` (type: `array`):
Optional location filter, applied best-effort against whatever location signal the page exposes. Does not block a title-only run.
## `maxResults` (type: `integer`):
Hard cap on dataset rows for this run.
## `proxyConfiguration` (type: `object`):
Apify Proxy configuration. Glassdoor runs Cloudflare and degrades to 403/429 under burst traffic, so we rotate session and browser fingerprint on every block. No proxy group default is baked in here — cloud runs resolve whatever group your account has provisioned.
## Actor input object example
```json
{
"searchMode": "title",
"jobTitles": [
"Software Engineer"
],
"maxResults": 5,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `datasetItems` (type: `string`):
All dataset items as JSON.
## `datasetItemsCsv` (type: `string`):
Same data exported to CSV.
## `datasetView` (type: `string`):
Open the run dataset in the Console.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '