# Glassdoor Job Scraper (`curious_coder/glassdoor-jobs-scraper`) Actor

Scrape job listings from Glassdoor by keyword and location. Exportcompanies, ratings, salary estimates, locations and more. Cost: $0.3/1K

- **URL**: https://apify.com/curious\_coder/glassdoor-jobs-scraper.md
- **Developed by:** [Curious Coder](https://apify.com/curious_coder) (community)
- **Categories:** Jobs, Agents
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Job Scraper

Collect job listings from [Glassdoor](https://www.glassdoor.com) by keyword and location — no login, no manual copy-pasting. Get titles, companies, star ratings, salary estimates and more as clean JSON, CSV or Excel.

Great for job-market research, salary benchmarking, recruiting pipelines, lead lists and feeding jobs into your own app.

### What you can do

- 🔎 Search **any job title or keyword** — "software engineer", "registered nurse", "product manager", a company name, anything you'd type into Glassdoor.
- 📍 Narrow to a **city, state or metro** — or leave the location blank to search a whole country.
- ⭐ Get the **company rating** next to every job, so you can spot the well-reviewed employers at a glance.
- 💰 Capture **salary estimates** — minimum, median and maximum, plus whether the figure is employer-provided or a Glassdoor estimate.
- 🧰 Pull out **skills, benefits and employment type** for each listing.
- 🔁 Run **several searches at once** and set a **maximum number of jobs**.

### How to use it

1. Click **Try for free**.
2. Type a **job title or keyword** (for example `data scientist`).
3. Optionally add a **location** (for example `New York`).
4. Set **Max jobs** if you only need a sample.
5. Click **Start** and download your results as JSON, CSV or Excel when the run finishes.

### Input

| Field | Description |
|---|---|
| **Job title or keyword** | What to search for. |
| **Location** | City, state or metro. Leave blank for a country-wide search. |
| **Max jobs** | Maximum jobs to collect. `0` means as many as available. |
| **Multiple searches** | Optional list of extra `{ keyword, location }` pairs to run together. |
| **Search region** | Country the search runs from (default United States). |

#### Example input

```json
{
    "keyword": "software engineer",
    "location": "New York",
    "maxItems": 100
}
```

### Output

Each job is one record:

```json
{
    "jobId": "1009962787069",
    "title": "Senior Software Engineer",
    "jobUrl": "https://www.glassdoor.com/job-listing/senior-software-engineer-JV_KO0,24.htm?jl=1009962787069",
    "company": "Audible, Inc.",
    "companyRating": 3.6,
    "companyLogo": "https://media.glassdoor.com/sql/9266/audible-squareLogo.png",
    "location": "New York, NY",
    "isRemote": false,
    "salary": {
        "min": 200000,
        "median": 250000,
        "max": 300000,
        "currency": "USD",
        "period": "ANNUAL",
        "periodLabel": "yearly",
        "source": "employer"
    },
    "employmentType": "Full-time",
    "postedDate": "2026-07-15",
    "ageInDays": 12,
    "easyApply": false,
    "skills": ["Python", "AWS", "Full-time", "Health insurance"],
    "descriptionSnippet": "Minimum of a bachelor's degree in computer science...",
    "scrapedAt": "2026-08-04T21:00:00.000Z"
}
```

# Actor input Schema

## `keyword` (type: `string`):

What to search for, e.g. "software engineer", "registered nurse" or a company name.

## `location` (type: `string`):

City, state or metro area to search in, e.g. "New York", "California" or "San Francisco". Leave empty to search the whole country.

## `maxItems` (type: `integer`):

Maximum number of jobs to collect across all searches. Set to 0 to collect as many as Glassdoor makes available.

## `searches` (type: `array`):

Optional list of extra keyword/location pairs to run in the same job, e.g. \[{ "keyword": "product manager", "location": "Austin" }]. Combined with the single keyword/location above.

## `proxyCountry` (type: `string`):

Two-letter country code the search runs from. Glassdoor shows jobs relevant to this region. Defaults to the United States.

## `proxyConfiguration` (type: `object`):

Proxy used for requests. Residential proxies work best; Glassdoor challenges plain datacenter IPs.

## `customProxyUrls` (type: `array`):

Optional list of your own proxy URLs to use instead of the proxy above.

## Actor input object example

```json
{
  "keyword": "data scientist",
  "location": "New York",
  "maxItems": 100,
  "searches": [],
  "proxyCountry": "us",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "customProxyUrls": []
}
```

# Actor output Schema

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

Every scraped job listing, one item per job, in the default dataset.

# 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 = {
    "keyword": "software engineer",
    "location": "New York",
    "maxItems": 100,
    "searches": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("curious_coder/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 = {
    "keyword": "software engineer",
    "location": "New York",
    "maxItems": 100,
    "searches": [],
}

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

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

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

```

## CLI example

```bash
echo '{
  "keyword": "software engineer",
  "location": "New York",
  "maxItems": 100,
  "searches": []
}' |
apify call curious_coder/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,curious_coder/glassdoor-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zrGiQvpnNxWFRdY7C/builds/wedbTyJQbGciNcdo7/openapi.json