Glassdoor Scraper — Salaries, Reviews & Jobs

Glassdoor Scraper — Salaries, Reviews & Jobs

Glassdoor Scraper extracts structured Glassdoor records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out LinkedIn Jobs Scraper, France Travail Scraper, Upwork Scraper, Reddit Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Glassdoor Scraper do?

Scrape Glassdoor company reviews, job listings, salaries and ratings using Glassdoor's internal GraphQL API without any login or official.... Compatible Make.com, Zapier, n8n, Sheets & Webhooks. 256MB RAM & sub-second speed.

Whether you need to monitor Glassdoor at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Glassdoor Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Glassdoor listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Glassdoor API

• No API Keys or Approval Delays: Start extracting public Glassdoor data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Glassdoor.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Glassdoor?

Glassdoor Scraper extracts the following data points from Glassdoor:

📝 Mode (mode)	👤 Company Names (companyNames)	👀 Max Reviews Per Company (maxReviewsPerCompany)
👤 Max Jobs Per Company (maxJobsPerCompany)	🏷️ Type (type)	👤 Company Name (companyName)
👤 Company ID (companyId)	📝 Job Title (jobTitle)	📅 Location (location)
⭐ Rating Overall (ratingOverall)	⭐ Company Overall Rating (companyOverallRating)	📝 Summary (summary)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	companyNames (Company Names), type (Type), companyName (Company Name), companyId (Company ID), jobTitle (Job Title)
Metrics, Pricing & Engagement	maxReviewsPerCompany (Max Reviews Per Company), maxJobsPerCompany (Max Jobs Per Company)
Details, Attributes & Context	mode (Mode), summary (Summary), pros (Pros), cons (Cons)
Direct Links, Media & Timestamps	location (Location), ratingOverall (Rating Overall), companyOverallRating (Company Overall Rating), sourceUrl (Source URL), scrapedAt (Scraped At)

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Why scrape Glassdoor? (Typical Use Cases & Guides)

You can use Glassdoor Scraper for a wide range of data and business workflows:

• HR & Employer Branding: Audit competitor employee satisfaction and company culture feedback.
• Job Seekers & Executive Placement: Research company culture and salary bands before negotiating offers.
• Market Research: Identify organizational challenges and managerial turnover at target enterprise accounts.
• AI Agents, RAG & LLM Knowledge Pipelines: Stream clean, structured Glassdoor JSON records into vector databases, Claude, GPT-4, or LangChain workflows.
• Automated BI Dashboards & Scheduled Alerts: Schedule daily or hourly runs and push live Glassdoor updates directly to Google Sheets, Looker Studio, Slack, or webhooks.
• Market Research & Competitor Analysis: Benchmark Glassdoor offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Glassdoor data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Glassdoor data

Glassdoor Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Glassdoor Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Glassdoor by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Glassdoor. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Glassdoor links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Glassdoor, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
mode	string	reviews	What type of data to scrape from Glassdoor. Options: reviews, jobs, salaries, overview.
companyNames	array	["Google"]	List of company names to scrape (e.g. ['Google', 'Apple', 'Meta']). The actor will auto-resolve each name to its Glassdoor company ID.
companyIds	array	—	Optional list of Glassdoor numeric company IDs if you already know them. Skips the name-resolution step.
maxReviewsPerCompany	integer	50	Maximum number of reviews to collect per company (for Reviews mode).
maxJobsPerCompany	integer	40	Maximum number of job listings to collect per company (for Jobs mode).
reviewSort	string	DATE	How to sort reviews (for Reviews mode). Options: DATE, RELEVANCE, RATING.
jobLocation	string	—	Optional location filter for job listings (e.g. 'Paris, France' or 'New York, NY').
language	string	en	Filter reviews by language code (e.g. 'en', 'fr', 'de'). Leave empty for all languages.
proxyConfiguration	object	{"useApifyProxy":true}	Apify Proxy configuration. Residential proxies are STRONGLY recommended for Glassdoor to avoid IP blocks.

Example 1: Standard Extraction (1-Click Default)

{
  "mode": "reviews",
  "companyNames": [
    "Google"
  ],
  "maxReviewsPerCompany": 50,
  "maxJobsPerCompany": 40
}

Example 2: Filtered & Batch Extraction

{
  "mode": "jobs",
  "companyNames": [
    "Google"
  ],
  "maxReviewsPerCompany": 100,
  "maxJobsPerCompany": 80,
  "reviewSort": "RELEVANCE",
  "language": "en"
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Mode	Company Names	Max Reviews Per Company	Max Jobs Per Company
reviews	Google	50	40
reviews	Google	63	50
reviews	Google	41	33

JSON Output Example

{
  "mode": "reviews",
  "companyNames": [
    "Google"
  ],
  "maxReviewsPerCompany": 50,
  "maxJobsPerCompany": 40
}

Output Fields Reference

Field Name	Type	Description
mode	string	Extracted mode value.
companyNames	array	Extracted company names value.
maxReviewsPerCompany	number	Extracted max reviews per company value.
maxJobsPerCompany	number	Extracted max jobs per company value.
type	string	Extracted type value.
companyName	string	Extracted company name value.
companyId	string	Extracted company id value.
jobTitle	string	Extracted job title value.
location	string	Extracted location value.
ratingOverall	number	Extracted rating overall value.
companyOverallRating	number	Extracted company overall rating value.
summary	string	Extracted summary value.
pros	string	Extracted pros value.
cons	string	Extracted cons value.
sourceUrl	string	Extracted source url value.
scrapedAt	string	Extracted scraped at value.

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🔗 Scrape any data you need with dedicated scrapers

Combine Glassdoor Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 LinkedIn Jobs Scraper	🔹 France Travail Scraper	🔹 Upwork Scraper
🔹 Reddit Scraper	🔹 Google Autocomplete & SEO Scraper	🔹 Hacker News Scraper

Scraper	Extracted Data & Primary Use Case
LinkedIn Jobs Scraper	B2B Leads & Salaries
France Travail Scraper	700K+ FR Job Offers (Pôle Emploi)
Upwork Scraper	Freelance Jobs & Budgets
Reddit Scraper	Posts, Comments & Subreddits
Google Autocomplete & SEO Scraper	Search Ideas
Hacker News Scraper	Stories, Comments & News

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⚠️ Error Items & Resilience Reference

Glassdoor Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Glassdoor cost?

Glassdoor Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0005 per Scraped Glassdoor Scraper Record ($0.5 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~10,000 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Glassdoor Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. Glassdoor Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Glassdoor Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Glassdoor Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/glassdoor-scraper").call(run_input={
    "mode": "reviews",
    "companyNames": ["Google"],
    "maxReviewsPerCompany": 50,
    "maxJobsPerCompany": 40
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/glassdoor-scraper').call({
    mode: "reviews",
    companyNames: ["Google"],
    maxReviewsPerCompany: 50,
    maxJobsPerCompany: 40
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Glassdoor Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Glassdoor Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Glassdoor Scraper with your input parameters.
3. Receive structured Glassdoor dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Glassdoor?

No. Glassdoor Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Glassdoor?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Glassdoor Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.