Glassdoor Scraper Pro | Reviews | Jobs | Salaries
Pricing
from $3.00 / 1,000 results
Glassdoor Scraper Pro | Reviews | Jobs | Salaries
Extract Glassdoor company reviews, salary data, job listings, and interview insights
Pricing
from $3.00 / 1,000 results
Rating
0.0
(0)
Developer
Ahmed Jasarevic
Maintained by CommunityActor stats
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Bookmarked
8
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0
Monthly active users
a day ago
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Glassdoor Scraper Pro – Reviews, Jobs & Salaries Extractor
Extract company reviews, salary data, job listings, and interview insights from Glassdoor at scale with structured output.
Hook
Glassdoor is the go-to platform for employee insights, but manually collecting reviews, salaries, and interview data is tedious and time-consuming. Glassdoor Scraper Pro automates the entire process — extracting company reviews, salary reports, job listings, and interview experiences in structured JSON format. Perfect for HR analysts, recruiters, and job seekers who need comprehensive employer intelligence.
Use Cases
| Use Case | Description |
|---|---|
| Employer Brand Monitoring | Track company sentiment and review trends over time |
| Salary Benchmarking | Collect salary data for specific roles across companies |
| Competitive Intelligence | Analyze competitor employee satisfaction and culture |
| Recruitment Research | Understand candidate perception of target employers |
| Job Market Analysis | Aggregate job listings and interview experiences |
| Investment Due Diligence | Evaluate company health through employee feedback |
How It Works
- Configure Input: Provide Glassdoor company URLs and select data type (reviews, salaries, jobs, interviews, benefits)
- Set Parameters: Configure max items, date filters, and proxy settings
- Run the Actor: Execute and receive structured JSON output
- Export Data: Download results from dataset as JSON, CSV, or Excel
Supported URL Patterns:
- Company Reviews:
glassdoor.com/Reviews/company-reviews-S{ID}.htm - Salaries:
glassdoor.com/Salary/company-salaries-S{ID}.htm - Jobs:
glassdoor.com/JOBS/company-jobs-S{ID}.htm - Interviews:
glassdoor.com/Interview/company-interview-reviews-SI{ID}.htm
Input
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
startUrls | array | ✅ | — | List of Glassdoor URLs to scrape |
command | string | ❌ | reviews | Data type: reviews, salaries, jobs, interviews, benefits |
maxItems | integer | ❌ | 100 | Maximum items to scrape (0 = unlimited) |
proxy | object | ❌ | {useApifyProxy: true} | Proxy configuration |
cookies | string | ❌ | "" | Optional cookies for authenticated access |
includeAllReviews | boolean | ❌ | false | Scrape all available reviews |
includeAllSalaries | boolean | ❌ | false | Scrape all available salary reports |
reviewsStartDate | string | ❌ | "" | Filter reviews from this date (YYYY-MM-DD) |
interviewsStartDate | string | ❌ | "" | Filter interviews from this date (YYYY-MM-DD) |
benefitsStartDate | string | ❌ | "" | Filter benefits from this date (YYYY-MM-DD) |
Output
| Field | Type | Description |
|---|---|---|
company | string | Company name |
rating | number | Overall rating (1-5) |
title | string | Review title |
text | string | Full review text |
pros | string | Positive feedback |
cons | string | Negative feedback |
advice | string | Advice to management |
date | string | Review date (YYYY-MM-DD) |
author | string | Reviewer name |
jobTitle | string | Author's job title |
location | string | Work location |
salary | string | Salary information |
status | string | Employment status |
source | string | Source URL |
Example Input
{"startUrls": [{ "url": "https://www.glassdoor.com/Reviews/apple-reviews-S1128.htm" },{ "url": "https://www.glassdoor.com/Reviews/google-reviews-S9079.htm" }],"command": "reviews","maxItems": 500,"includeAllReviews": true,"reviewsStartDate": "2024-01-01","proxy": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Example Output
[{"company": "Apple","rating": 4.2,"title": "Great place to work with innovative culture","text": "Working at Apple has been an incredible experience...","pros": "Amazing benefits, innovative projects, smart colleagues","cons": "Work-life balance can be challenging during product launches","advice": "More flexibility in remote work options","date": "2024-03-15","author": "Former Software Engineer","jobTitle": "Software Engineer","location": "Cupertino, CA","salary": "$145,000 - $180,000","status": "Former Employee","source": "https://www.glassdoor.com/Reviews/apple-reviews-S1128.htm"}]
Integrations
- Google Sheets: Export scraped data directly to spreadsheets
- Slack: Set up notifications for new reviews
- Zapier/Make: Connect to 5000+ apps for automated workflows
- Webhooks: Send data to custom endpoints in real-time
- Database Storage: Push results to PostgreSQL, MongoDB, or Firebase
Related Actors
| Actor | Description |
|---|---|
| LinkedIn Company Employees Scraper | Extract company employee data from LinkedIn |
| Indeed Scraper | Scrape job listings from Indeed |
| Google Maps Reviews Scraper | Collect Google business reviews |
FAQ
Q: Does this actor require login credentials?
A: No login is required for public data. However, providing cookies can help bypass rate limits and access more content.
Q: How fast can I scrape reviews?
A: With residential proxies, expect ~100-200 reviews per minute. Speed depends on proxy configuration and Glassdoor's rate limits.
Q: Can I filter reviews by date?
A: Yes! Use reviewsStartDate, interviewsStartDate, or benefitsStartDate fields to filter by date (YYYY-MM-DD format).
Q: What proxy type is recommended?
A: Residential proxies are recommended for best results. Datacenter proxies may trigger CAPTCHAs.
Q: Is this compliant with Glassdoor's ToS?
A: This tool extracts publicly available data. Users are responsible for ensuring compliance with Glassdoor's Terms of Service and applicable laws.
SEO Keywords
Glassdoor scraper, Glassdoor reviews scraper, employee reviews extractor, Glassdoor salary scraper, Glassdoor data extraction, employer review data, Glassdoor API alternative, company reviews tool, HR data scraper, recruitment research, salary benchmarking tool, job market data, employee sentiment analysis, Glassdoor bulk scraper, employer intelligence, workplace reviews data, compensation data extraction, interview reviews scraper, company culture data, Glassdoor automation
For AI Agents
Purpose: Extract structured company reviews, salary data, job listings, and interview insights from Glassdoor for HR analytics, recruitment research, and employer brand monitoring.
Minimal Input JSON:
{"startUrls": [{ "url": "https://www.glassdoor.com/Reviews/apple-reviews-S1128.htm" }],"command": "reviews","maxItems": 100}
Output Fields: company, rating, title, text, pros, cons, advice, date, author, jobTitle, location, salary, status, source
Behaviors:
- Supports multiple Glassdoor URL patterns (reviews, salaries, jobs, interviews, benefits)
- Applies date filtering when provided
- Returns structured JSON with consistent schema
- Handles pagination automatically
Billing: $0.005 per result item
Legal Disclaimer
This Actor is developed independently and is not affiliated with, endorsed by, or sponsored by Glassdoor. All data extracted is publicly available on Glassdoor's platform. Users are solely responsible for ensuring their use of this tool complies with Glassdoor's Terms of Service and all applicable local, state, federal, and international laws. The developer assumes no liability for misuse of this tool.