Glassdoor Reviews Customized Client
Pricing
$25.00/month + usage
Glassdoor Reviews Customized Client
Apify Actor extracts structured employee reviews from any company on Glassdoor, including pros, cons, location, and date. Perfect for HR insights, competitor analysis, recruitment strategy, and data-driven dashboards. Fast, proxy-supported, and easy to use.
Pricing
$25.00/month + usage
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datawizards
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Here’s a professional, SEO-friendly, detailed README for your Glassdoor Reviews Customized Client Apify Actor based on your sample and best practices:
📦 Glassdoor Reviews Customized Client · Apify Actor
Extract detailed employee reviews from Glassdoor for any company in structured JSON — ideal for HR insights, competitor research, or employer brand analysis. Built and maintained by DataWizards.
📌 What Is Glassdoor Reviews Customized Client?
The Glassdoor Reviews Customized Client Apify Actor allows you to scrape employee reviews, pros & cons, location, and publication date for any company listed on Glassdoor.
It’s perfect for researchers, HR analysts, recruiters, and data scientists who want structured insights into company culture, employee satisfaction, and operational feedback — without manual browsing or login hassles.
🧠 Key Features
- ✅ Structured Review Data in JSON
- ✅ Captures
pros,cons,reviewee location,date published,company logo, andcompany website - ✅ Fully supports proxy integration via Apify Proxy (including RESIDENTIAL IPs)
- ✅ Configurable item limits for targeted scraping
- ✅ Lightweight, fast, and easy to integrate into workflows
🛠️ Input Schema
Here’s how to use the actor:
{"companyName": "amazon","item_limit": 10,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
🔐 Proxy Configuration
- useApifyProxy: Set to
truefor reliable scraping. - apifyProxyGroups:
"RESIDENTIAL"ensures high-quality results and minimal blocking.
📤 Output Example
[{"cons": "Sometimes feels a bit \"too\" big. As a TPM, you rely on either internal or external tech resources...","date_published": "2025-12-03","reviewee_location": "London, England","company_logo": "https://media.glassdoor.com/sql/6036/amazon-squarelogo-1552847650117.png","company_website_url": "https://www.aboutamazon.com/"},{"cons": "dont work closely with manager","date_published": "2025-12-03","reviewee_location": "San Diego, CA","company_logo": "https://media.glassdoor.com/sql/6036/amazon-squarelogo-1552847650117.png","company_website_url": "https://www.aboutamazon.com/"}]
🚀 Use Cases
- 🏢 HR & Employer Insights – Understand employee sentiment and areas of improvement
- 📊 Competitor Analysis – Compare reviews across companies
- 🤖 Data Science & Analytics – Feed review data into dashboards, sentiment models, or AI systems
- 📈 Recruitment Strategy – Identify strengths and weaknesses of company culture for strategic planning
✅ Best Practices
- Use RESIDENTIAL proxies for large-scale scraping to reduce blocking.
- Set
item_limitto control the number of reviews collected per run. - Avoid excessive frequency to prevent throttling from Glassdoor.
- Always validate company names to ensure accurate data extraction.
🤝 Support
Need custom fields, simplified outputs, or integration help? DataWizards are here for you!
📩 Email: hello.datawizard@gmail.com
✉️ Subject: Glassdoor Reviews Customized Client – Support Request
🔗 LinkedIn: linkedin.com/in/data-wizards-aa8080342
🧰 Need Something More?
Whether you want custom review fields, simplified JSON outputs, or bug fixes, DataWizards are ready to help. 💡 Custom scraping, integration, or data formatting — we’ve got you covered.
💬 Feedback & Bugs
Found a bug or want a new feature?
📧 Email: hello.datawizard@gmail.com
🛠️ Subject: Bug Report – Glassdoor Reviews Customized Client
Or open an issue directly on Apify.