Glassdoor Scraper - Jobs, Ratings & Employer Profiles

Scrape Glassdoor job listings with company ratings, salary estimates, and employer profiles across 20+ country domains. Every SERP row includes the company's Glassdoor rating and review count. Optional employer profile enrichment returns CEO approval, rating breakdown, and 18+ company fields.

What You Get

• company_rating / review_count: Glassdoor's 1-5 star employer rating and total review count on every SERP row -- the single most-requested field from Glassdoor and not available from any other job board
• salary_estimated / salary_source: Whether the salary range is employer-disclosed or a Glassdoor estimate -- critical for salary benchmarking integrity
• easy_apply: Boolean flag for Glassdoor-native one-click applications vs external ATS apply redirects
• company_rating_culture / compensation / opportunities / senior_leadership / work_life_balance: Full sub-rating breakdown from the employer profile pass (requires includeCompanyDetails: true)
• company_ceo / company_ceo_approval_pct / company_recommend_pct: CEO identity and approval metrics from the Glassdoor company profile
• workplace_type: Remote, Hybrid, or In-person from Glassdoor's own listing metadata -- consistent across all 20+ country domains

Input Example

{
  "searchQueries": ["software engineer", "product manager"],
  "location": "London",
  "country": "gb",
  "sortBy": "date",
  "includeJobDetails": true,
  "includeCompanyDetails": false,
  "maxResults": 100,
  "maxResultsPerQuery": 200
}

Output Example

{
  "_type": "job",
  "id": "1009123456",
  "title": "Senior Software Engineer",
  "company_name": "Acme Corp",
  "company_rating": 4.2,
  "review_count": 1284,
  "location": "New York, NY",
  "salary_min": 145000,
  "salary_max": 205000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_estimated": true,
  "salary_source": "employer",
  "employment_type": "full-time",
  "workplace_type": "hybrid",
  "easy_apply": false,
  "posted_at": "2026-08-19",
  "age_days": 1,
  "apply_url": "https://boards.greenhouse.io/acme/jobs/1234",
  "employer_profile_url": "https://www.glassdoor.com/Overview/Working-at-Acme-Corp-EI_IE12345.htm",
  "source_platform": "glassdoor.com"
}

Who Should Use This

This actor is the go-to source for recruiter lead-gen platforms, employer-brand analytics vendors, and compensation benchmarking services. Glassdoor is unique in attaching company ratings and salary data to every job listing SERP row -- no other major job board exposes the employer's reputation score alongside the job card. Talent analytics teams use the CEO approval, culture rating, and recommend percentage from the employer profile pass to build employer quality scores for candidate-facing platforms. Sales teams targeting HR departments use the company_size_range, industry, and active_jobs_count to score and prioritise outbound accounts across 20+ country domains in a single run.

Related Tutorials

• How to Scrape Every Job Online

Integrations

• n8n / Make / Zapier — trigger runs and process results via webhook
• AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python / Node.js — Apify SDK for programmatic access
• Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run glassdoor-scraper in your browser - no code, no install. In the Apify console you get:

• One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
• Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
• Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
• Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
• Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
• Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

1. Sign up for a free Apify account (Google, GitHub, or email).
2. Go to Settings → Integrations → API tokens.
3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~glassdoor-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/glassdoor-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/glassdoor-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/glassdoor-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/glassdoor-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/glassdoor-scraper

Example prompt once connected:

"Use <code>glassdoor-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.