# Glassdoor Jobs Scraper — Salary Ranges & Company Ratings (`apricot_blackberry/glassdoor-jobs-scraper`) Actor

Search Glassdoor job listings: title, company with rating, location, salary min/max (employer or estimate), remote flag, posting age, Easy Apply. Gets through Cloudflare. $0.002 per job, no start fee.

- **URL**: https://apify.com/apricot_blackberry/glassdoor-jobs-scraper.md
- **Developed by:** [Creator Fusion](https://apify.com/apricot_blackberry) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 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/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 — Listings with Salary Ranges & Company Ratings ($2 per 1,000 jobs)

Search Glassdoor job listings and get structured JSON: title, company with Glassdoor rating, location, salary range (employer-provided or Glassdoor estimate, parsed to min/max), remote flag, posting age, Easy Apply flag and the description snippet. Filters for posting age and remote work; paste your own Glassdoor search URLs for anything else.

**$0.002 per job**, no start fee. Searches Glassdoor blocks are reported in `SUMMARY`, not charged.

### Why this one

- **Gets through Cloudflare.** A browser-grade HTTP client first; when Glassdoor challenges it, one real-browser session walks all result pages, so the whole search costs one launch.
- **Stable fields.** Cards are read through Glassdoor's own `data-test` attributes, not fragile class names.
- **Salary parsed**, not just copied: `salaryMin`, `salaryMax`, `salaryPeriod`, and whether the employer or Glassdoor supplied it.

### Output

```json
{
  "id": "1010232423724",
  "url": "https://www.glassdoor.com/job-listing/data-scientist-bold-penguin-JV_KO0,14_KE15,27.htm?jl=1010232423724",
  "title": "Data Scientist",
  "company": "Bold Penguin",
  "companyRating": 3.5,
  "location": "Remote",
  "remote": true,
  "salaryText": "$87K - $134K (Employer provided)",
  "salaryMin": 87000,
  "salaryMax": 134000,
  "salaryPeriod": "YEARLY",
  "salarySource": "EMPLOYER",
  "snippet": "Education: Bachelor's or Master's degree in Computer Science...",
  "postedRelative": "3d",
  "easyApply": true,
  "scrapedAt": "2026-10-06T06:10:00.000Z"
}
```

### Input

| Field | Default | Notes |
|---|---|---|
| `queries` | — | One search per term. |
| `location` | — | City or state keyword. |
| `maxJobsPerQuery` | 60 | 30 per page, up to 900. |
| `postedWithinDays` | 0 | 1, 3, 7, 14, 30. |
| `remoteOnly` | false | |
| `startUrls` | — | Glassdoor search URLs with your own filters. |
| `callbackUrl` | — | POST a JSON summary when the run finishes. |

### Pricing

| Event | Price |
|---|---|
| `job` | $0.002 |

### Integrations

- **API**: `POST https://api.apify.com/v2/acts/apricot_blackberry~glassdoor-jobs-scraper/run-sync-get-dataset-items?token=…`
- **MCP**: `https://mcp.apify.com?tools=apricot_blackberry/glassdoor-jobs-scraper`
- **Webhooks**: `callbackUrl`, or Apify run webhooks for Zapier, Make and n8n.

# Actor input Schema

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

One search per term, e.g. "data scientist", "product manager".

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

City or state keyword, e.g. "New York, NY". Leave empty for all of the United States.

## `maxJobsPerQuery` (type: `integer`):

Each result page holds 30 jobs.

## `postedWithinDays` (type: `integer`):

1, 3, 7, 14 or 30; 0 = any time.

## `remoteOnly` (type: `boolean`):

Only jobs Glassdoor tags as remote.

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

Alternative to search terms: paste Glassdoor job-search URLs (glassdoor.com/Job/...) with your own filters.

## `callbackUrl` (type: `string`):

POST a JSON summary here when the run finishes.

## Actor input object example

```json
{
  "queries": [
    "data scientist"
  ],
  "maxJobsPerQuery": 60,
  "postedWithinDays": 0,
  "remoteOnly": false
}
```

# Actor output Schema

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

Dataset with one JSON record per result.

## `summary` (type: `string`):

Counts, failures and notes.

# 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": [
        "data scientist"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("apricot_blackberry/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 = { "queries": ["data scientist"] }

# Run the Actor and wait for it to finish
run = client.actor("apricot_blackberry/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 '{
  "queries": [
    "data scientist"
  ]
}' |
apify call apricot_blackberry/glassdoor-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apricot_blackberry/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/EOajCQUwYSuDJPnIx/builds/byxtDIQUea15vjXMc/openapi.json