# \[only $1] Glassdoor Job Scraper (`familiar_universality/glassdoor-job-scraper`) Actor

Scrape job listings from Glassdoor for only $1. Extract titles, salaries, companies, locations & job types

- **URL**: https://apify.com/familiar\_universality/glassdoor-job-scraper.md
- **Developed by:** [Alex](https://apify.com/familiar_universality) (community)
- **Categories:** Developer tools, Jobs, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 🔍

**Extract job listings from Glassdoor at scale — get titles, companies, locations, salaries, job types, and more with just a few clicks. No coding required.**

Glassdoor Job Scraper lets you search Glassdoor across supported countries and export structured job data directly to JSON, CSV, or any downstream integration via the Apify platform. Configure your search query, location, and filters — the Actor handles the rest, including automatic proxy rotation to avoid blocks.

### What can Glassdoor Job Scraper do?

- 🌍 **Search across 60+ countries** — USA, UK, Canada, Australia, Germany, France, India, and many more
- 🔎 **Multiple search queries in one run** — scrape "software engineer", "data scientist", and "product manager" in a single Actor run
- 💰 **Extract salary data** — minimum, maximum, currency, and period (hourly/annual)
- 🏠 **Filter remote jobs** — toggle remote-only results
- 🕐 **Filter by posting age** — only get jobs posted in the last N hours
- 💼 **Filter by job type** — full-time, part-time, contract, internship
- 🔄 **Automatic proxy rotation** — uses Apify Residential Proxies to avoid 429s and blocks, fetching a fresh IP on every retry
- 📦 **Clean structured output** — ready to plug into Google Sheets, Airtable, your own database, or any API

### What data does Glassdoor Job Scraper extract?

| Field | Description |
|---|---|
| `title` | Job title |
| `company` | Company name |
| `location` | Job location |
| `is_remote` | Whether the job is remote |
| `job_type` | Full-time, part-time, contract, etc. |
| `min_amount` | Minimum salary |
| `max_amount` | Maximum salary |
| `currency` | Salary currency |
| `date_posted` | When the job was posted |
| `job_url` | Direct link to the job listing |
| `description` | Full job description (Markdown) |
| `company_url` | Link to the company's Glassdoor page |

### How to scrape Glassdoor jobs — step by step

1. **Enter your search queries** — e.g. `software engineer`, `data analyst`
2. **Set your location** — e.g. `New York, NY`, `London`, `Remote`
3. **Choose your country** from the dropdown (60+ supported)
4. **Optionally** set filters: job type, remote only, or max posting age in hours
5. **Click "Start"** and wait for results (typically under 1 minute)
6. **Export your data** as JSON, CSV, Excel — or connect to Google Sheets, Zapier, Make, and more via the Integrations tab

### Input example

```json
{
  "queries": ["software engineer", "backend developer"],
  "location": "New York, NY",
  "countryGlassdoor": "USA",
  "resultsPerQuery": 50,
  "jobType": "fulltime",
  "isRemote": false,
  "hoursOld": 72,
  "enforceAnnual": true
}
```

### Output example

```json
{
  "title": "Senior Software Engineer",
  "company": "Acme Corp",
  "location": "New York, NY",
  "is_remote": false,
  "job_type": "fulltime",
  "min_amount": 140000,
  "max_amount": 180000,
  "currency": "USD",
  "date_posted": "2024-01-15",
  "job_url": "https://www.glassdoor.com/job-listing/j?jl=abc123",
  "description": "We are looking for a Senior Software Engineer to join our team..."
}
```

### Supported countries

Argentina, Australia, Austria, Bahrain, Belgium, Brazil, Canada, Chile, China, Colombia, Costa Rica, Czech Republic, Denmark, Ecuador, Egypt, Finland, France, Germany, Greece, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kuwait, Luxembourg, Malaysia, Mexico, Morocco, Netherlands, New Zealand, Nigeria, Norway, Oman, Pakistan, Panama, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, Ukraine, United Arab Emirates, UK, USA, Uruguay, Venezuela, Vietnam.

### Integrations

Once your data is in Apify, you can send it anywhere:

- **Google Sheets** — via the native Google Sheets integration
- **Zapier / Make** — trigger workflows on new job results
- **REST API** — pull results programmatically from any language
- **Webhooks** — get notified when a run finishes
- **Scheduled runs** — run daily or weekly to monitor new postings automatically

### FAQ

#### Is scraping Glassdoor legal?

Web scraping publicly available data is generally considered legal in most jurisdictions. This Actor only collects data that is publicly visible on Glassdoor without logging in. Always ensure your use of scraped data complies with Glassdoor's Terms of Service and applicable laws in your region.

#### The Actor returned 0 results — what happened?

This usually means Glassdoor blocked all retry attempts. The Actor retries up to 5 times with a fresh proxy on each attempt. If still returning 0, try a different search term or location, and check the Actor logs for details.

### Support

Having issues or want a custom feature? Open a ticket via the **Issues** tab on this Actor's page

# Actor input Schema

## `queries` (type: `array`):

List of job search queries (e.g., 'software engineer', 'data scientist')

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

Location to search jobs in (e.g., 'New York, NY', 'Remote', 'London')

## `resultsPerQuery` (type: `integer`):

Maximum number of job listings to return per query

## `countryGlassdoor` (type: `string`):

Country version used by JobSpy for Glassdoor. Use the exact country name shown.

## `jobType` (type: `string`):

Filter by job type.

## `isRemote` (type: `boolean`):

Return remote jobs only.

## `hoursOld` (type: `integer`):

Only return jobs posted within this many hours.

## `enforceAnnual` (type: `boolean`):

Convert all salary figures to annual amounts

## Actor input object example

```json
{
  "queries": [
    "accountant"
  ],
  "location": "New York",
  "resultsPerQuery": 1000,
  "countryGlassdoor": "USA",
  "jobType": "",
  "isRemote": false,
  "enforceAnnual": false
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped job listings (title, company, location, salary, description, etc.)

# 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 = {
    "queries": [
        "accountant"
    ],
    "location": "New York"
};

// Run the Actor and wait for it to finish
const run = await client.actor("familiar_universality/glassdoor-job-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 = {
    "queries": ["accountant"],
    "location": "New York",
}

# Run the Actor and wait for it to finish
run = client.actor("familiar_universality/glassdoor-job-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 '{
  "queries": [
    "accountant"
  ],
  "location": "New York"
}' |
apify call familiar_universality/glassdoor-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,familiar_universality/glassdoor-job-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/AeGbfJkLciR5fRCJQ/builds/vcts0mX1HxehL3T0j/openapi.json