Glassdoor Reviews Scraper

The Glassdoor Reviews Scraper helps you collect real employee feedback, ratings, and workplace insights from Glassdoor company pages in a structured format 📊. It eliminates manual effort, making it easier to analyze trends, compare employers, and understand workplace sentiment using clean, reliable review data.

🔍 What does Glassdoor Reviews Scraper do?

A Glassdoor Reviews Scraper is a powerful data extraction tool designed to collect employee reviews, ratings, pros, cons, job titles, and company insights directly from Glassdoor company pages 📊. Instead of manually browsing hundreds of reviews, this tool automates the process and delivers structured data in minutes.

Businesses, researchers, and analysts use a glassdoor reviews scraper to better understand workplace sentiment, employer branding, and market reputation. It’s especially useful when reviews are removed, hidden, or suspected to be fake, helping teams analyze trends objectively.

Whether you want to scrape Glassdoor reviews for research, reputation monitoring, or competitive analysis, this scraper saves time ⏱️ and ensures consistent, reliable datasets for informed decision-making.

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📂 What Glassdoor Reviews Scraper can I extract?

The Glassdoor Reviews Scraper allows you to collect a wide range of structured review data for deeper insights 🧠. Below is a clear breakdown of extractable fields:

📊 Data Type	📝 Description
Company Name	Name of the employer listed on Glassdoor
Review Title	Headline given by the reviewer
Review Text	Full employee feedback content
Overall Rating	Star rating (1–5 scale ⭐)
Pros	Positive points mentioned
Cons	Negative points mentioned
Job Title	Role of the reviewer
Employment Status	Current or former employee
Review Date	When the review was posted
Location	Reviewer’s work location
CEO Approval	Approval or disapproval rating
Recommendation	Whether the reviewer recommends the company

💡 This structured data is ideal for analyzing glassdoor reviews fake patterns, tracking sentiment over time, and understanding why Glassdoor removed my review scenarios occur.

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🚀 Key Features of Glassdoor Reviews Scraper

The glassdoor scraper is built for performance, accuracy, and scale. Here’s what makes it stand out 👇

• ✅ Bulk Review Extraction – Scrape thousands of reviews across multiple companies effortlessly

• ⚡ Fast & Reliable – Optimized for high-speed data collection

• 🔄 Pagination Support – Collect old and new reviews without limits

• 🧹 Clean Structured Output – Ready-to-use JSON or CSV formats

• 🧠 Sentiment-Friendly Fields – Pros, cons, ratings, and recommendations clearly separated

• 🔐 No Login Required – Public data extraction only

• 🛠️ Developer-Friendly – Works seamlessly with scrape glassdoor reviews python workflows

• 📈 Scalable – From a single company to enterprise-level analysis

Many developers also explore glassdoor review scraper GitHub projects, but a ready-to-use scraper saves setup time and ongoing maintenance.

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🛠️ How to use Glassdoor Reviews Scraper

Using the Glassdoor Reviews Scraper is simple and beginner-friendly 😊. Follow this step-by-step guide:

1️⃣ Log in to Apify
Create a free account or sign in to your existing one.

2️⃣ Select the Actor
Search for “Glassdoor Reviews Scraper” in the Apify Store.

3️⃣ Enter Input Data
Paste one or multiple Glassdoor company review URLs into the input field.

4️⃣ Choose Options
Set limits like number of reviews, language, or sorting preferences.

5️⃣ Run the Actor
Click Start and let the scraper extract reviews automatically ⚙️.

6️⃣ Download Results
Export the data in JSON, CSV, or Excel format 📥.

✨ No technical setup is required, even if you’ve never tried to scrape Glassdoor reviews before.

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🎯 Use Cases

The Glassdoor Reviews Scraper supports a wide range of real-world applications 🌍:

• 🏢 Employer Branding Analysis – Understand employee sentiment at scale

• 📣 Reputation Monitoring – Track sudden spikes in negative or positive reviews

• 🔍 Fake Review Detection – Identify suspicious or repetitive review patterns

• 📊 Market Research – Compare competitors using authentic employee feedback

• 🤖 Data Science Projects – Feed structured review data into models

• 🧑‍💼 HR & Talent Teams – Discover why employees stay or leave

• 📝 Content & Reports – Support insights when Glassdoor reviews are removed or disputed

Whether you’re investigating glassdoor reviews fake claims or analyzing workforce trends, this tool delivers actionable insights.

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⭐ Why choose us?

We focus on accuracy, scalability, and simplicity 💎. Here’s why users trust our glassdoor reviews scraper:

• 🏆 Proven Reliability – Consistent results across thousands of runs

• 🔍 Data Accuracy – Clean fields with minimal noise

• 🚀 High Performance – Handles large volumes smoothly

• 🤝 Trusted Platform – Built and hosted on Apify

• 📞 Ongoing Support – Clear documentation and updates

• 🧩 Flexible Integration – Works well with Python, dashboards, and analytics tools

Unlike many glassdoor review scraper GitHub scripts, our solution is production-ready and maintained.

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📈 How many results can you scrape with Glassdoor Reviews Scraper?

The Glassdoor Reviews Scraper is designed for both small and large-scale data collection 🧮. You can scrape:

• ✔️ Hundreds of reviews from a single company

• ✔️ Thousands of reviews across multiple companies

• ✔️ Historical reviews using pagination support

There’s no hard cap on results—your limits depend on:

• Number of company URLs

• Review availability per company

• Selected run configuration

This scalability makes it perfect for enterprises, researchers, and analysts who need to scrape Glassdoor reviews continuously or in bulk.

Whether you’re monitoring one employer or tracking an entire industry, the scraper adapts to your workload without sacrificing speed or data quality ⚡.

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⚖️ Is it legal to scrape Glassdoor reviews?

Scraping Glassdoor reviews requires responsible and ethical use ⚠️. Here’s what to keep in mind:

• 📜 Only publicly available data should be collected

• 🔐 Avoid private or restricted content

• 🧑‍⚖️ Follow local data usage and compliance rules

• 🤝 Respect platform terms and fair-use principles

Many users scrape data for research, analysis, or internal insights, not redistribution. If you’re unsure, always consult legal guidance. Ethical scraping protects both your project and data integrity.

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🔧 Input Parameters

📥 Example Input JSON

{
  "startItems": [
    "https://www.glassdoor.com/Overview/Working-at-IBM-EI_IE354.11,14.htm",
    "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "maxResults": 50
}

📤 Output Format

📦 Example Output JSON

{
  "company_id": 354,
  "company_url": "https://www.glassdoor.com/Overview/Working-at-IBM-EI_IE354.11,14.htm",
  "reviews_count": 120,
  "review_id": 4852131,
  "summary": "Advisory Engineer in STG, IBM",
  "pros": "Great colleagues, flexible policies...",
  "cons": "Rating system issues...",
  "advice": "Management must keep in mind...",
  "rating_overall": 4,
  "rating_career_opportunities": 5.0,
  "rating_compensation_and_benefits": 3.0,
  "job_title": "Advisory Engineer",
  "location": "Hopewell Junction, NY",
  "review_date_time": "2014-08-26T09:02:30.030",
  "is_current_job": true,
  "length_of_employment": 9
}

❓ FAQ – Glassdoor Reviews Scraper

1️⃣ Can I scrape Glassdoor reviews in bulk?

Yes, the scraper supports bulk extraction across multiple companies.

2️⃣ Does this help analyze fake reviews?

Absolutely. Structured data makes it easier to spot unusual patterns.

3️⃣ Can I use this with Python?

Yes, it integrates smoothly with scrape glassdoor reviews python workflows.

4️⃣ Why was my Glassdoor review removed?

Reviews may be removed due to policy violations or moderation rules.

5️⃣ Is this better than GitHub scrapers?

Yes, it’s maintained, scalable, and requires no manual setup.

6️⃣ What formats can I download?

JSON, CSV, and Excel formats are supported.

7️⃣ Do I need a Glassdoor account?

No account or login is required for public review pages.

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✅ Conclusion

The Glassdoor Reviews Scraper is a reliable solution for gathering large volumes of employee reviews quickly and efficiently 🚀. Whether you’re analyzing company reputation, tracking review patterns, or conducting research, this tool delivers structured data that supports smarter decisions and deeper workplace insights.

✨ Glassdoor Reviews Scraper gives you clarity, scale, and confidence when working with employee reviews. Ready to turn reviews into insights?