🏢 Glassdoor Scraper

Scrape company reviews, salaries, and interview questions from Glassdoor.com. Uses Playwright with stealth settings and Glassdoor's internal GraphQL API for reliable data extraction.

Features

• Company profiles — name, overall rating, review count, CEO approval, industry, size, revenue, headquarters
• Reviews — rating, title, pros, cons, advice, job title, employment status, date, sub-ratings (work-life balance, culture, compensation, etc.)
• Salaries — job title, pay range (10th/50th/90th percentile), base pay, total pay, currency
• Interview questions — questions asked, difficulty rating, experience rating, process description, application source, offer status
• Smart search — provide company name or Glassdoor URL
• Anti-bot handling — residential proxies, browser fingerprinting, randomized delays

Input

Field	Type	Description
companyUrls	string[]	Glassdoor company URLs (e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm)
searchQuery	string	Company name to search (used if no URLs)
dataTypes	string[]	Data to scrape: reviews, salaries, interviews (default: all)
maxResults	integer	Max results per data type per company (default: 50)
proxyConfig	object	Proxy settings (residential recommended)

Example input

{
    "searchQuery": "Google",
    "dataTypes": ["reviews", "salaries"],
    "maxResults": 100
}

Output

Results are saved to the default dataset. Each item has a type field:

type: "company" — Company profile

{
    "type": "company",
    "name": "Google",
    "overallRating": 4.4,
    "reviewCount": 35000,
    "industry": "Internet & Web Services",
    "size": "10000+ Employees",
    "headquarters": "Mountain View, CA"
}

type: "review" — Employee review

{
    "type": "review",
    "companyName": "Google",
    "title": "Great place to work",
    "rating": 5,
    "pros": "Amazing benefits and culture",
    "cons": "Work-life balance can be challenging",
    "jobTitle": "Software Engineer",
    "date": "2024-01-15"
}

type: "salary" — Salary data

{
    "type": "salary",
    "companyName": "Google",
    "jobTitle": "Software Engineer",
    "payLow": 120000,
    "payMedian": 155000,
    "payHigh": 200000,
    "currency": "USD"
}

type: "interview" — Interview experience

{
    "type": "interview",
    "companyName": "Google",
    "jobTitle": "Software Engineer",
    "difficulty": "Average",
    "experience": "Positive",
    "questions": ["Design a distributed cache", "Explain TCP/IP"],
    "gotOffer": true
}

Tips

• Residential proxies required — Glassdoor uses Datadome anti-bot. Datacenter proxies will be blocked.
• Start small — test with maxResults: 10 first
• Rate limits — the scraper adds random delays automatically. Don't increase concurrency.
• Large companies — Google, Amazon etc. have thousands of reviews. Set maxResults accordingly.

Cost

Typical usage: ~$0.50-1.00 per company for 50 results across all data types. Varies based on proxy usage and retry rate.