Glassdoor Scraper Pro – Reviews, Jobs & Salaries Extractor

Extract company reviews, salary data, job listings, and interview insights from Glassdoor at scale with structured output.

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Hook

Glassdoor is the go-to platform for employee insights, but manually collecting reviews, salaries, and interview data is tedious and time-consuming. Glassdoor Scraper Pro automates the entire process — extracting company reviews, salary reports, job listings, and interview experiences in structured JSON format. Perfect for HR analysts, recruiters, and job seekers who need comprehensive employer intelligence.

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Use Cases

Use Case	Description
Employer Brand Monitoring	Track company sentiment and review trends over time
Salary Benchmarking	Collect salary data for specific roles across companies
Competitive Intelligence	Analyze competitor employee satisfaction and culture
Recruitment Research	Understand candidate perception of target employers
Job Market Analysis	Aggregate job listings and interview experiences
Investment Due Diligence	Evaluate company health through employee feedback

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How It Works

1. Configure Input: Provide Glassdoor company URLs and select a command (reviews, salaries, jobs, interviews, ratings)
2. Set Parameters: Configure max items, date filters, and proxy settings
3. Run the Actor: Execute and receive structured JSON output
4. Export Data: Each command stores its results in its own dataset — download as JSON, CSV, or Excel

Supported URL Patterns:

• Company Reviews: glassdoor.com/Reviews/company-reviews-E{ID}.htm (commands: reviews, ratings)
• Salaries: glassdoor.com/Salaries/company-salaries-E{ID}.htm (command: salaries)
• Jobs: glassdoor.com/Jobs/company-jobs-E{ID}.htm (command: jobs)
• Interviews: glassdoor.com/Interviews/company-interviews-E{ID}.htm (command: interviews)

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Input

Field	Type	Required	Default	Description
startUrls	array	✅	—	List of Glassdoor URLs to scrape
command	string	❌	reviews	Data type: reviews, jobs, salaries, interviews, ratings
maxItems	integer	❌	100	Maximum items to scrape (0 = unlimited)
proxy	object	❌	{useApifyProxy: true}	Proxy configuration
cookies	string	❌	""	Optional cookies for authenticated access
includeAllReviews	boolean	❌	false	Scrape all available reviews
includeAllSalaries	boolean	❌	false	Scrape all available salary reports
reviewsStartDate	string	❌	""	Filter reviews from this date (YYYY-MM-DD)
interviewsStartDate	string	❌	""	Filter interviews from this date (YYYY-MM-DD)
benefitsStartDate	string	❌	""	Filter benefits from this date (YYYY-MM-DD)

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Output

Each command writes results to its own dataset. The Actor's output contains links to all of them:

Output Property	Command	Description
reviews	reviews	Full review items (rating, title, text, pros, cons, sub-ratings, author, location, salary, status)
jobs	jobs	Job listings (title, company, location, salary range, easy apply, age, link)
salaries	salaries	Salary estimates per job title (count, percentile breakdowns, currency)
interviews	interviews	Interview reviews (outcome, experience, difficulty, process, questions)
ratings	ratings	Company rating breakdown (overall + sub-scores, review count, CEO approval)

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Example Input

{
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" },
    { "url": "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm" }
  ],
  "command": "reviews",
  "maxItems": 500,
  "includeAllReviews": true,
  "reviewsStartDate": "2024-01-01",
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["UNBLOCKER"]
  }
}

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Example Output

A review item from the reviews dataset:

[
  {
    "company": "Google",
    "rating": 4.2,
    "title": "Great place to work with innovative culture",
    "text": "Working at Google has been an incredible experience...",
    "pros": "Amazing benefits, innovative projects, smart colleagues",
    "cons": "Work-life balance can be challenging during product launches",
    "advice": "More flexibility in remote work options",
    "date": "2024-03-15",
    "author": "Former Software Engineer",
    "jobTitle": "Software Engineer",
    "location": "Mountain View, CA",
    "status": "Former Employee",
    "source": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
  }
]

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Integrations

• Google Sheets: Export scraped data directly to spreadsheets
• Slack: Set up notifications for new reviews
• Zapier/Make: Connect to 5000+ apps for automated workflows
• Webhooks: Send data to custom endpoints in real-time
• Database Storage: Push results to PostgreSQL, MongoDB, or Firebase

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Related Actors

Actor	Description
LinkedIn Company Employees Scraper	Extract company employee data from LinkedIn
Indeed Scraper	Scrape job listings from Indeed
Google Maps Reviews Scraper	Collect Google business reviews

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FAQ

Q: Does this actor require login credentials?

A: No login is required for public data. However, providing cookies can help bypass rate limits and access more content.

Q: How fast can I scrape reviews?

A: With residential proxies, expect ~100-200 reviews per minute. Speed depends on proxy configuration and Glassdoor's rate limits.

Q: Can I filter reviews by date?

A: Yes! Use reviewsStartDate or interviewsStartDate fields to filter by date (YYYY-MM-DD format).

Q: What proxy type is recommended?

A: Residential proxies are recommended for best results. Datacenter proxies may trigger CAPTCHAs.

Q: Is this compliant with Glassdoor's ToS?

A: This tool extracts publicly available data. Users are responsible for ensuring compliance with Glassdoor's Terms of Service and applicable laws.

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SEO Keywords

Glassdoor scraper, Glassdoor reviews scraper, employee reviews extractor, Glassdoor salary scraper, Glassdoor data extraction, employer review data, Glassdoor API alternative, company reviews tool, HR data scraper, recruitment research, salary benchmarking tool, job market data, employee sentiment analysis, Glassdoor bulk scraper, employer intelligence, workplace reviews data, compensation data extraction, interview reviews scraper, company culture data, Glassdoor automation

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For AI Agents

Purpose: Extract structured company reviews, salary data, job listings, and interview insights from Glassdoor for HR analytics, recruitment research, and employer brand monitoring.

Minimal Input JSON:

{
  "startUrls": [{ "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }],
  "command": "reviews",
  "maxItems": 100
}

Outputs: Each command writes its results to its own dataset (reviews, jobs, salaries, interviews, ratings).

Behaviors:

• Supports multiple Glassdoor URL patterns (reviews, jobs, salaries, interviews, ratings)
• Applies date filtering when provided
• Returns structured JSON with consistent per-dataset schemas
• Handles pagination automatically; results are pushed during the run, so nothing is lost if the Actor aborts

Billing: Pay-per-event — one charge event per command per batch (e.g. glassdoor-review, glassdoor-job, glassdoor-salary, glassdoor-interview, glassdoor-rating).

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Legal Disclaimer

This Actor is developed independently and is not affiliated with, endorsed by, or sponsored by Glassdoor. All data extracted is publicly available on Glassdoor's platform. Users are solely responsible for ensuring their use of this tool complies with Glassdoor's Terms of Service and all applicable local, state, federal, and international laws. The developer assumes no liability for misuse of this tool.