# Glassdoor Jobs Scraper — Salary Ranges & Ratings, No Login (`jamhimself/glassdoor-jobs-scraper`) Actor

Scrape Glassdoor job listings to JSON — no login, no API key. Search by keyword or paste a Glassdoor jobs URL. Get title, employer, company rating, location, salary range (min/max), pay period, posting age & direct links. Pay per job.

- **URL**: https://apify.com/jamhimself/glassdoor-jobs-scraper.md
- **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community)
- **Categories:** Jobs, Agents, AI
- **Stats:** 1 total users, 1 monthly users, 93.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$7.00 / 1,000 job listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Glassdoor Jobs Scraper — Salary Ranges & Ratings, No Login

Scrape **Glassdoor job listings** into clean JSON — no login, no cookies, no API key. Search by keyword or paste any Glassdoor jobs URL, and get structured rows with title, employer, company rating, location, Glassdoor's estimated salary range, pay period, posting age, and a direct link.

Built for reliability: TLS-impersonation engine that clears Glassdoor's bot wall, health-monitored daily and patched fast when Glassdoor changes. Output is structured for spreadsheets, dashboards, and LLM/RAG pipelines.

### ⚡ Quick start

Paste this into the Actor's **Input** (JSON view) and hit **Start**:

```json
{
  "searchQuery": "software engineer",
  "maxJobs": 100
}
```

Each result row looks like:

```json
{
  "jobTitle": "Senior Software Engineer",
  "employer": "Datadog",
  "employerRating": 4.1,
  "location": "New York, NY",
  "payMin": 150000,
  "payMax": 205000,
  "payPeriod": "ANNUAL",
  "payCurrency": "USD",
  "salarySource": "EMPLOYER_ESTIMATED_SALARY",
  "ageInDays": 3,
  "easyApply": false,
  "jobId": "1009876543210",
  "url": "https://www.glassdoor.com/job-listing/senior-software-engineer-datadog-JV_IC1132348.htm"
}
```

Or run it from the API:

```
POST https://api.apify.com/v2/acts/jamhimself~glassdoor-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
```

### Input options

| Field | Type | Description |
|---|---|---|
| `searchQuery` | string | Keyword to search across the US, e.g. `"data analyst"` |
| `startUrls` | array | Glassdoor jobs URLs — a company page (`.../Jobs/Google-Jobs-E9079.htm`) or any filtered `/Job/...SRCH...htm` search URL you built in your browser (to add a location or other filters) |
| `maxJobs` | integer | Max listings per search (default 100) |
| `maxPages` | integer | Pagination-depth cap per search (default 10) |

Provide `searchQuery`, `startUrls`, or both.

### Output fields

Every row includes: `jobTitle`, `employer`, `employerRating`, `location`, `payMin`/`payMax` (Glassdoor's estimated range), `payPeriod`, `payCurrency`, `salarySource`, `ageInDays`, `easyApply`, `jobId`, `url`.

### Use cases

- **Salary benchmarking** — Glassdoor exposes estimated pay ranges (min/max) on listings; track them by title, employer, or location.
- **Recruiting & market research** — monitor who's hiring, how fresh the postings are, and company ratings alongside openings.
- **AI agents & RAG** — feed structured, deduplicated job rows into agent pipelines (this Actor is agent-payable).

### Related Actors

Complete the employer picture: [Glassdoor Company Reviews](https://apify.com/jamhimself/glassdoor-reviews-scraper) and [Glassdoor Interview Experiences](https://apify.com/jamhimself/glassdoor-interviews-scraper).

***

Found an issue or need another field or filter? **Open an issue on this Actor** — it's actively maintained and issues get fixed fast. If this Actor saves you time, a ⭐ review helps others find it.

# Actor input Schema

## `searchQuery` (type: `string`):

Job keyword to search across the US, e.g. "software engineer". Leave empty if using Start URLs.

## `startUrls` (type: `array`):

Glassdoor jobs URLs — a company jobs page (https://www.glassdoor.com/Jobs/Google-Jobs-E9079.htm) or any filtered /Job/...SRCH...htm search URL you built in your browser (to include a location or other filters).

## `maxJobs` (type: `integer`):

Maximum job listings to return per search/URL.

## `maxPages` (type: `integer`):

Safety cap on pagination depth per search.

## Actor input object example

```json
{
  "searchQuery": "software engineer",
  "maxJobs": 100,
  "maxPages": 10
}
```

# Actor output Schema

## `jobs` (type: `string`):

One row per job: title, employer, company rating, location, salary range, pay period, posting age, direct link.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "software engineer"
};

// Run the Actor and wait for it to finish
const run = await client.actor("jamhimself/glassdoor-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchQuery": "software engineer" }

# Run the Actor and wait for it to finish
run = client.actor("jamhimself/glassdoor-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "software engineer"
}' |
apify call jamhimself/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jamhimself/glassdoor-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Mv9cwIPJ3YlneFA9d/builds/0yxtGlPRvAYTfEXbP/openapi.json