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💼 Glassdoor Scraper

🚀 Pull Glassdoor employee reviews, salaries, and ratings by company. Export structured records for any Glassdoor employer across 18 international domains in minutes. No API key, no login, no manual copy-paste.

🕒 Last updated: 2026-04-21 · 📊 40 fields per review · ⭐ Reviews & salaries · 🏢 Company ratings · 🌍 Multi-locale · 🚫 No auth required

The Glassdoor Scraper collects employee reviews, salary reports, interview experiences, jobs, benefits, office locations, and culture-and-diversity data from any Glassdoor company page. Point it at a Glassdoor employer URL (for example https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm) or search by company name, and get back clean structured JSON.

The scraper understands every regional Glassdoor domain (.com, .co.uk, .fr, .de, .es, .nl, .com.br, .ca, .com.au, and more), supports date filters and multi-language review pulls, and works across any public employer profile. Output works directly in spreadsheets, BI tools, or your data warehouse.

📋 What the Glassdoor Scraper does

Eight structured collection modes in a single run:

• 📝 Reviews. Overall rating, CEO rating, pros, cons, advice, work-life balance, culture, diversity, and employer responses.
• 💰 Salaries. Base pay, total pay, bonuses, stock, profit sharing, and tips by job title and currency.
• 🎤 Interviews. Questions, outcomes, difficulty, experience, offer status, and source per report.
• 💼 Jobs. Open roles with title, location, pay range, easy-apply flag, and optional full job description.
• 🧭 Overview. Headquarters, company size, industry, revenue, founded year, and website.
• 📍 Locations. Office addresses across cities and countries.
• 🎁 Benefits. Benefit categories, ratings, comments, and employee reviews.
• 🌈 Culture & Diversity. Demographic distributions, diversity programs, and culture ratings.

Pick a single mode with the command field (reviews, salaries, interviews, jobs, overview, locations, benefits, cultureDiversity) or pass "all" to sweep everything in one run. Date filters (reviewsStartDate, interviewsStartDate, benefitsStartDate) restrict output to recent records only.

💡 Why it matters: Glassdoor hosts millions of firsthand employee reports across tens of thousands of companies. That corpus is one of the most cited sources for compensation benchmarks, employer-brand sentiment, and hiring competitive intelligence. Building your own collector means handling pagination, language variants, and fragile HTML. This Actor returns clean JSON you can load straight into analysis.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough from sign-up to a downloaded dataset.

⚙️ Input

Example: 100 most recent Google reviews, newest first.

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

Example: everything Glassdoor has on Apple, stats included.

{
"startUrls":[
{"url":"https://www.glassdoor.com/Overview/Working-at-Apple-EI_IE1138.htm"}
],
"maxItems":500,
"command":"all",
"includeCompanyReviewStats":true,
"includeCompanyInterviewStats":true
}

Example: salary reports for SAP on the German domain.

{
"startUrls":[
{"url":"https://www.glassdoor.de/Gehalt/SAP-Gehalter-E10471.htm"}
],
"maxItems":200,
"command":"salaries"
}

⚠️ Good to Know: results reflect what is publicly visible on the matching Glassdoor regional domain. Review counts, salary samples, and translated content vary by country and by the reviewer's chosen language. When you need full coverage, enable includeAllReviews and includeAllSalaries.

📊 Output

Each record carries a dataType discriminator (review, salary, interview, job, overview, location, benefit, cultureDiversity) so you can split the dataset downstream. Download as CSV, Excel, JSON, or XML.

🧾 Review schema (40 fields)

🧾 Salary schema (key fields)

Jobs, interviews, benefits, culture, locations, and overview modes expose their own structured payloads with the same shape discipline (see sample records below).

📦 Sample records

✨ Why choose this Actor

📊 Glassdoor is one of the most quoted sources for employer brand, compensation benchmarks, and candidate sentiment. Clean structured exports enable analytics that a manual review read-through never can.

📈 How it compares to alternatives

Pick this Actor when you want broad multi-domain coverage, structured fields, and zero scraping engineering on your side.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Glassdoor Scraper page on the Apify Store.
3. 🎯 Set input. Paste a company URL (or company name), pick a command, set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

❓ Frequently Asked Questions

🔌 Automating Glassdoor Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Hourly, daily, or weekly refreshes keep downstream sentiment and comp dashboards in sync automatically.

🔌 Integrate with any app

Glassdoor Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe review and salary data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh review or salary data into your product backend, or alert your analytics team in Slack.

🔗 Recommended Actors

• 💼 Glassdoor Jobs Scraper - Job postings from Glassdoor with salary, location, and JSON-LD schema
• 🔍 Indeed Scraper - Job listings and company pages from Indeed
• 🏢 LinkedIn Company Profiles Scraper - Company size, industry, specialties, and follower counts
• 💼 ZipRecruiter Scraper - Jobs from ZipRecruiter with pay and company metadata
• 🧑‍💻 CareerBuilder Scraper - Job postings from CareerBuilder with salary and location

💡 Pro Tip: browse the complete ParseForge collection for more HR and talent-intel scrapers.

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Glassdoor or its parent company. All trademarks mentioned are the property of their respective owners. Only publicly available data visible to any signed-out visitor is collected.