Glassdoor Reviews Scraper | Glassdoor Company Reviews API

Scrape Glassdoor company reviews by company ID or name. Extract Glassdoor employee reviews including ratings, pros, cons, job titles, advice to management, employment status, review dates, helpful counts, and detailed rating breakdowns for work-life balance, culture, career opportunities, compensation, and senior management. The best Glassdoor reviews scraper for employer research and employee sentiment analysis.

❓ What is Glassdoor Reviews Scraper?

Glassdoor Reviews Scraper is a powerful Apify actor that lets you scrape and extract employee reviews from Glassdoor by company ID or name. Whether you want to analyze employee sentiment, monitor employer brand reputation, research company culture, or collect review data for HR analytics — this Glassdoor reviews scraper does it all automatically.

With this Glassdoor reviews scraper, you can:

• 📝 Scrape Glassdoor reviews by company — Enter any company ID or name to extract all employee reviews
• 📊 Sort reviews — By popularity, most recent, highest rating, or lowest rating
• 🔎 Search within reviews — Filter reviews by keyword (e.g., "work life balance", "salary")
• 🌐 Filter by language — Get reviews in English, French, German, Spanish, Italian, Portuguese, Dutch
• 💼 Filter by employment type — Regular, Intern, Part-time, Contract, Freelance
• 👤 Current employees only — Filter to only show reviews from current employees
• 📄 Automatic pagination — Scrape thousands of reviews automatically across multiple pages

🎯 What Data Can You Extract from Glassdoor Reviews?

Field	Description
reviewId	Unique Glassdoor review identifier
summary	Review title/summary
pros	Positive aspects mentioned by employee
cons	Negative aspects mentioned by employee
rating	Overall rating (1-5)
reviewLink	Direct link to Glassdoor review page
jobTitle	Reviewer's job title
reviewDatetime	Date and time of the review
employmentStatus	Employment type (REGULAR, INTERN, CONTRACT, etc.)
isCurrentEmployee	Whether reviewer is a current employee
yearsOfEmployment	Years of employment at the company
location	Reviewer's work location
adviceToManagement	Advice to management from the reviewer
helpfulCount	Number of people who found this review helpful
workLifeBalanceRating	Work-life balance rating
cultureAndValuesRating	Culture & values rating
careerOpportunitiesRating	Career opportunities rating
compensationAndBenefitsRating	Compensation & benefits rating
seniorManagementRating	Senior management rating
ceoRating	CEO approval (APPROVE / DISAPPROVE / NO_OPINION)
businessOutlookRating	Business outlook (POSITIVE / NEGATIVE)
recommendToFriendRating	Recommend to friend (POSITIVE / NEGATIVE)

🚀 How to Use Glassdoor Reviews Scraper

Step 1: Enter Company ID

Enter the Glassdoor company ID (e.g., 9079 for Google) or company name (e.g., Amazon). You can find the company ID using the Glassdoor Company Search actor.

Step 2: Set Filters (Optional)

Input	Type	Required	Default	Description
company_id	String	✅ Yes	9079	Company ID or name
sort	Enum	❌ No	POPULAR	Sort order: POPULAR, MOST_RECENT, HIGHEST_RATING, LOWEST_RATING
query	String	❌ No	—	Search keyword within reviews
language	String	❌ No	en	Review language (en, fr, nl, de, pt, es, it)
employment_statuses	String	❌ No	—	Filter: REGULAR, INTERN, PART_TIME, CONTRACT, FREELANCE
only_current_employees	Boolean	❌ No	false	Only current employee reviews
extended_rating_data	Boolean	❌ No	false	Include extended rating data
domain	String	❌ No	www.glassdoor.com	Glassdoor domain
maxResults	Integer	❌ No	100	Maximum reviews to scrape (1-10000)

Step 3: Run and Download Results

Click Start to run the Glassdoor reviews scraper. Results are available in JSON, CSV, Excel, XML, and RSS formats.

📋 Example Input

{
  "company_id": "9079",
  "sort": "MOST_RECENT",
  "language": "en",
  "maxResults": 100
}

📋 Example Output

{
  "reviewId": 88053838,
  "summary": "Google Review",
  "pros": "Innovative Projects: Working at Google has provided the opportunity to engage with cutting-edge technologies...",
  "cons": "High Expectations: The performance expectations can be intense and sometimes overwhelming...",
  "rating": 5,
  "reviewLink": "https://www.glassdoor.com/Reviews/Employee-Review--RVW88053838.htm",
  "jobTitle": "Software Engineer",
  "reviewDatetime": "2024-06-07T17:08:44.600Z",
  "employmentStatus": "CONTRACT",
  "isCurrentEmployee": true,
  "yearsOfEmployment": 2,
  "location": "San Diego, CA",
  "adviceToManagement": "Simplify Processes...",
  "helpfulCount": 0,
  "workLifeBalanceRating": 5,
  "cultureAndValuesRating": 5,
  "careerOpportunitiesRating": 5,
  "compensationAndBenefitsRating": 5,
  "seniorManagementRating": 5,
  "ceoRating": "APPROVE",
  "businessOutlookRating": "POSITIVE",
  "recommendToFriendRating": "POSITIVE"
}

🎨 Dataset Views

View	Description
📊 Reviews Overview	Summary, rating, job title, location, date, helpful count
📋 Review Details	Full pros, cons, advice to management, employment status
⭐ Rating Breakdowns	Work-life, culture, career, compensation, management ratings

💡 Use Cases for Glassdoor Reviews Scraper

• Employee Sentiment Analysis — Analyze employee reviews to understand company culture and satisfaction
• Employer Brand Monitoring — Track reviews over time to monitor employer brand reputation
• Competitive Intelligence — Compare employee satisfaction across competitor companies
• HR Analytics — Identify patterns in employee feedback for HR improvements
• Due Diligence — Research company reviews before investing or partnering
• Job Research — Read authentic employee reviews before applying to a company

🏷️ Tags

glassdoor glassdoor scraper glassdoor reviews glassdoor reviews scraper employee reviews company reviews glassdoor api glassdoor crawler glassdoor extractor employer research employee sentiment company ratings work life balance company culture hr analytics employer brand review scraper glassdoor data

🎁 Get $5 Free Apify Credits

New to Apify? Sign up using this link and get $5 free credits to start scraping Glassdoor right away! No credit card required.

📞 Support

For questions, feedback, or issues with this Glassdoor reviews scraper, please contact us through Apify or open an issue.

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Happy scraping Glassdoor reviews! 📝✨