# Glassdoor Jobs Scraper - $3/1000 Jobs (`scrapeunblocker/glassdoor-jobs-scraper`) Actor

Scrape Glassdoor job listings as JSON: title, company, rating, location, salary estimate, posted age, skills and a listing URL. Search by keyword and location, filter by posted date, job type, salary, experience and remote, with automatic pagination. No Glassdoor API. Powered by ScrapeUnblocker.

- **URL**: https://apify.com/scrapeunblocker/glassdoor-jobs-scraper.md
- **Developed by:** [Scrapeunblocker](https://apify.com/scrapeunblocker) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 jobs

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Glassdoor Jobs Scraper

Scrape **Glassdoor job listings** as clean, structured JSON - job title, company, company rating, location, salary estimate, posted age, skills and a direct listing URL. Search by keyword and location, with automatic pagination and full filtering. No Glassdoor API key.

Powered by [ScrapeUnblocker](https://scrapeunblocker.com)'s anti-bot bypass - no proxies or CAPTCHA setup.

### What you get per job

- **Title**, **job id** and a clean listing **URL**
- **Company**, company **id**, **rating** and logo
- **Location** and location type
- **Salary estimate** - min / median / max, pay period and currency, and whether it is an employer or Glassdoor estimate
- **Posted age** (days), **skills**, a description **snippet**
- **Easy apply** and **sponsored** flags

### Features

- **Keyword + location search** - a role and, optionally, a city/state (resolved to Glassdoor's location automatically).
- **Automatic pagination** - set `max_results` and the scraper pages through Glassdoor until it collects that many (~30 per page).
- **Full filtering** - posted date, job type (full-time, part-time, contract, internship, temporary), minimum salary, experience level and remote-only.
- **Sorting** - most recent or most relevant.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `keyword` | string | **required** | Job title / keywords, e.g. `software engineer`. |
| `location` | string | - | City/state to filter by, e.g. `New York, NY`. |
| `sort` | select | Most recent | `recency` or `relevance`. |
| `job_type` | select | Any | fulltime, parttime, contract, internship, temporary, apprenticeship. |
| `experience` | select | Any | internship, entrylevel, midseniorlevel, director, executive. |
| `from_age` | select | Any time | Posted within 1 / 3 / 7 / 14 / 30 days. |
| `min_salary` | integer | - | Minimum annual salary. |
| `remote` | boolean | false | Remote jobs only. |
| `max_results` | integer | 60 | How many jobs to collect (~30 per page). |
| `proxy_country` | string | - | Exit-IP country (ISO-2), or blank for a US exit. |

### Example output (one dataset item)

```json
{
  "jobId": 1009999999999,
  "title": "Senior Software Engineer",
  "url": "https://www.glassdoor.com/job-listing/senior-software-engineer-...",
  "company": "Acme Corp",
  "companyId": 12345,
  "companyRating": 4.1,
  "location": "New York, NY",
  "ageInDays": 3,
  "salary": { "min": 150000, "median": 185000, "max": 220000, "payPeriod": "ANNUAL", "currency": "USD", "source": "GLASSDOOR_ESTIMATE" },
  "snippet": "Build and scale backend services ...",
  "skills": ["Python", "AWS", "Kubernetes"],
  "easyApply": true,
  "sponsored": false
}
```

### Use cases

- **Recruiting & sourcing** - pull every open role for a title in a market, with the hiring company and its rating.
- **Talent-market intelligence** - track posting volume, salary estimates and required skills across cities over time.
- **Competitive hiring** - watch which companies are hiring for a role, and how they pay.
- **Compensation context** - the salary estimate and skills attached to each posting.

### Pricing

$3 per 1,000 jobs - full listing detail (company, rating, salary estimate and skills) included, no Glassdoor API needed.

***

Built on [ScrapeUnblocker](https://scrapeunblocker.com). Questions? [docs.scrapeunblocker.com](https://docs.scrapeunblocker.com)

# Actor input Schema

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

Job title or keywords to search, e.g. 'software engineer'.

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

Location to filter by, e.g. 'New York, NY'. Resolved to Glassdoor's location id automatically. Leave blank for all locations.

## `sort` (type: `string`):

Order the results by most recent or by relevance.

## `job_type` (type: `string`):

Employment type. Leave as Any for all.

## `experience` (type: `string`):

Seniority level. Leave as Any for all.

## `from_age` (type: `string`):

Only jobs posted within this window.

## `min_salary` (type: `integer`):

Minimum annual salary (in the local currency of the location).

## `remote` (type: `boolean`):

Only remote jobs.

## `max_results` (type: `integer`):

How many jobs to collect across pages (~30 per page).

## `proxy_country` (type: `string`):

Exit-IP country (ISO-2). Leave blank for a US exit (glassdoor.com).

## Actor input object example

```json
{
  "keyword": "software engineer",
  "location": "New York, NY",
  "sort": "recency",
  "job_type": "",
  "experience": "",
  "from_age": "",
  "remote": false,
  "max_results": 60,
  "proxy_country": ""
}
```

# Actor output Schema

## `items` (type: `string`):

Collected job listings

# 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, NY"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeunblocker/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, NY",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeunblocker/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, NY"
}' |
apify call scrapeunblocker/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeunblocker/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/BOI0gMO3WxJGBCMLT/builds/SGGtDSJkMZ3EKtXHh/openapi.json