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Glassdoor Scraper - Company Reviews & Ratings

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Glassdoor Scraper - Company Reviews & Ratings

Glassdoor Scraper - Company Reviews & Ratings

Scrape Glassdoor company reviews, ratings and salary data: overall rating, recommend %, CEO approval, review count, plus each review's rating, pros, cons, job title and date. Search by company name or URL.

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๐Ÿข Glassdoor Scraper - Company Reviews, Ratings & Salaries

Pull structured employer-review data from Glassdoor by company name or URL: the overall company rating, the percentage of employees who recommend the company, CEO approval, business outlook, the total review count and a salary-category breakdown โ€” plus a flat row for every individual review with its star rating, pros, cons, job title, employment status and date. Perfect for employer-brand monitoring, competitor benchmarking, HR analytics, recruiting research and market intelligence. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

๐Ÿ”Ž What is the Glassdoor Scraper?

Glassdoor is one of the largest sources of employee-generated company reviews, ratings and salary reports in the world. This Actor turns those pages into clean, structured data you can analyse. Give it one or more company names (it resolves each to the right Glassdoor employer automatically) or paste exact Glassdoor company URLs, and it returns the company's aggregate reputation metrics together with the individual reviews behind them.

It runs through a real, stealth browser on residential IPs, so it reliably reaches pages that block ordinary scrapers, and it paginates through the review list until it reaches the number of reviews you ask for.

What data does it extract?

  • Company โ€” name, short name, Glassdoor employer id and logo.
  • Overall rating โ€” the company's average star rating (out of 5).
  • Recommend to a friend % โ€” share of reviewers who recommend the employer.
  • CEO approval % โ€” share who approve of the CEO.
  • Business outlook % โ€” share with a positive business outlook.
  • Review count โ€” total number of reviews on Glassdoor.
  • Salary categories โ€” the job-family breakdown (Engineering, Sales, Marketing โ€ฆ) with how many salary reports each has.
  • Per review โ€” star rating, review title, pros, cons, reviewer job title, employment status (current/former), and review date.
  • Reviews URL โ€” a direct link to the company's Glassdoor reviews.

โฌ‡๏ธ Input

FieldTypeDescription
companiesarrayCompany names to look up, e.g. ["Google", "Amazon"]. Each is resolved to its Glassdoor page automatically.
companyUrlsarrayOptional. Full Glassdoor company URLs (Overview or Reviews links containing an EI_IEโ€ฆ / -E<id> employer id) for an exact match.
maxReviewsintegerMax individual reviews to return per company (10 per page). Default 10.
proxyCountrystringCountry for the residential proxy used to reach Glassdoor. Default US.

Example input

{
"companies": ["Google", "Netflix"],
"maxReviews": 25,
"proxyCountry": "US"
}

โฌ†๏ธ Output

Each review is one dataset record, enriched with its company's aggregate metrics:

{
"company": "Google Inc.",
"employer_id": 9079,
"company_short_name": "Google",
"company_logo": "https://media.glassdoor.com/sql/9079/google-squarelogo.png",
"company_rating": 4.4,
"recommend_pct": 86,
"ceo_approval_pct": 89,
"business_outlook_pct": 71,
"review_count": 58231,
"salary_categories": ["Engineering", "Product & Project Management", "Sales"],
"review_rating": 5,
"review_title": "Great place to grow as an engineer",
"pros": "Smart colleagues, strong compensation, great work-life balance and free food.",
"cons": "Large organisation, so internal processes can be slow and promotions are competitive.",
"job_title": "Software Engineer",
"employment_status": "Current Employee",
"review_date": "Mar 14, 2026",
"reviews_url": "https://www.glassdoor.com/Reviews/Google-Inc-Reviews-E9079.htm",
"query": "Google"
}

๐Ÿ’ก Use cases

  • ๐Ÿข Employer-brand monitoring โ€” track your company's rating, recommend % and CEO approval over time and react to shifts.
  • ๐Ÿ“Š Competitor benchmarking โ€” compare reputation metrics across rival employers in your industry.
  • ๐Ÿง‘โ€๐Ÿ’ผ Recruiting & HR analytics โ€” surface recurring pros and cons by job title to improve hiring and retention.
  • ๐Ÿ“ˆ Market & investment research โ€” read employee sentiment as a signal on company culture and outlook.

โ“ FAQ

How do I scrape a specific company? Put its name in companies (e.g. "Google") โ€” the Actor resolves it to the correct Glassdoor employer. For an exact match, paste the company's Glassdoor URL into companyUrls instead.

What if two companies share a name? The Actor picks Glassdoor's top match for the name. To remove any ambiguity, use companyUrls with the exact Overview/Reviews link.

How many reviews can I get? Set maxReviews to any number; the Actor paginates through the review list (10 per page) until it reaches that count or runs out of reviews.

Why does it need a residential proxy? Glassdoor blocks datacenter IPs with a security challenge. The Actor uses a stealth browser on Apify residential IPs to load pages like a real visitor. US works best for glassdoor.com.

Which fields are aggregate vs per-review? company_rating, recommend_pct, ceo_approval_pct, business_outlook_pct, review_count and salary_categories describe the company; review_rating, review_title, pros, cons, job_title, employment_status and review_date describe each individual review.

Can I export to CSV or Excel? Yes. Results are stored in an Apify dataset and can be exported to JSON, CSV, Excel, XML or HTML, or pulled via the API.

Can I run it on a schedule? Yes โ€” schedule it in Apify to refresh a company's ratings and reviews daily, weekly or monthly.

Can I connect it to other tools? Yes. Use the Apify API or integrations for Make, Zapier and n8n to push the data into your stack.

Is it legal? This Actor collects only publicly available information that Glassdoor shows to any visitor; it does not log in or access private data. You are responsible for using the data in line with Glassdoor's terms, applicable laws and data-protection rules such as GDPR. Reviews are user-generated opinions โ€” treat them accordingly.

๐Ÿ”— You might also like

  • โญ Trustpilot Intelligence Scraper โ€” consumer reviews, ratings & sentiment.
  • ๐Ÿ’ผ Greenhouse / Lever / Workday Jobs Scrapers โ€” live job postings from major ATS platforms.
  • ๐ŸŒ Remote Jobs Aggregator โ€” multi-platform remote job listings.
  • ๐Ÿ“ฑ Google Play & App Store Reviews Scrapers โ€” mobile app reviews and ratings.

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