Glassdoor Reviews & Jobs Scraper: Culture, Salary & Interviews
Pricing
from $4.75 / 1,000 results
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Glassdoor Reviews & Jobs Scraper: Culture, Salary & Interviews
Extract comprehensive employee reviews, ratings, pros/cons, company responses, jobs, salaries, and interviews from Glassdoor effortlessly.
Pricing
from $4.75 / 1,000 results
Rating
0.0
(0)
Developer
Made In Germany
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2
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1
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a day ago
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Glassdoor Reviews & Jobs Scraper — Company Culture, Salary Benchmarks & Interviews 🚀
A high-performance, production-ready Apify Actor for scraping comprehensive employee reviews, ratings, pros/cons, advice to management, and sub-ratings from Glassdoor — without login walls, browser bloat, or anti-bot blocks.
Built with a pure HTTP-first architecture (Crawlee + got-scraping), Chrome TLS fingerprinting, and resilient multi-mirror routing to extract real employee insights at scale.
⚡ Why This Scraper Beats Alternatives
| Feature | GLASSDOOR PPE Scraper | Conventional Scrapers |
|---|---|---|
| Engine Architecture | Pure HTTP Fast-Path (lightweight, instant start) | Heavy Puppeteer/Playwright headless browsers |
| Memory Footprint | ~256 MB RAM | 2 GB - 4 GB RAM per instance |
| Login Requirement | None (scrapes public SSR & RSC streams) | Requires active account credentials |
| Anti-Bot Resilience | Chrome 130+ TLS Fingerprinting + Regional Mirror Routing | Frequent 403 Cloudflare blocks |
| Pricing Model | Pay-Per-Event (PPE): only pay for results extracted | High flat monthly rates |
| Data Completeness | Full sub-ratings, pros/cons, advice & employment status | Often limited to headline text |
💼 Core Use Cases
- HR & People Analytics: Benchmark employer brand reputation, culture & values, and employee sentiment across competitors.
- Talent Acquisition & Employer Branding: Analyze pros, cons, and management advice to calibrate job offers and workplace benefits.
- Investment & Market Due Diligence: Monitor leadership approval, business outlook trends, and workplace morale before investing or partnering.
- Competitive Intelligence: Discover compensation satisfaction and retention risks across industry peers.
📥 Input Configuration
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
startUrls | Array | ["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"] | List of Glassdoor company review URLs or overview pages. |
searchQuery | String | "Google Reviews" | Free-text search query used to discover employers when URLs are not provided. |
maxItems | Integer | 50 | Maximum number of reviews/records to extract. |
proxy | Object | { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } | Apify proxy configuration (supports residential and custom proxies). |
Sample Input JSON
📤 Output Structure
Every extracted record includes complete review metadata, employment status, ratings, and textual feedback:
Output Fields
| Field | Type | Description |
|---|---|---|
reviewId | String | Unique identifier for the Glassdoor review. |
rating | Number | Overall rating out of 5 (e.g. 4.0, 5.0). |
jobTitle | String | Job title or role of the reviewer. |
pros | String | Reviewer's feedback on company pros. |
cons | String | Reviewer's feedback on company cons. |
adviceToManagement | String | null | Reviewer's recommendations for leadership. |
isCurrentEmployee | Boolean | true if current employee, false if former. |
summary | String | Headline summary of the review. |
reviewDateTime | String | ISO timestamp of the review publication. |
location | String | Reviewer's office or city location. |
employerName | String | Company name. |
employerId | Number | String | Glassdoor unique employer ID. |
ratingWorkLifeBalance | Number | null | Sub-rating for work-life balance (1-5). |
ratingCultureAndValues | Number | null | Sub-rating for culture & values (1-5). |
ratingCareerOpportunities | Number | null | Sub-rating for career growth (1-5). |
ratingCompensationAndBenefits | Number | null | Sub-rating for pay & perks (1-5). |
ratingSeniorLeadership | Number | null | Sub-rating for executive management (1-5). |
ratingCeo | String | null | Approval rating for company CEO. |
ratingBusinessOutlook | String | null | Outlook on business future (e.g. POSITIVE). |
ratingRecommendToFriend | String | null | Recommendation sentiment (e.g. POSITIVE). |
url | String | Target URL from which the review was scraped. |
scrapedAt | String | ISO timestamp when the scraper extracted the item. |
Sample Output Record
💰 Pricing (Pay-Per-Event)
This actor operates on a pay-as-you-go Pay-Per-Event (PPE) pricing model. You only pay for what you extract:
| Event Name | Purpose | Price (USD) | Description |
|---|---|---|---|
apify-default-dataset-item | result | $0.00475 | Single result in the default dataset. |
pain-point-analysis | AI pain-point analysis | $0.05 | Charged per employer analyzed with the AI pain-point pass (ranked employee complaint themes, strengths, attrition signals, quick wins from its reviews). Only when painPointAnalysis is enabled and the user is on a paid plan. |
apify-actor-start | Actor Start | $0.005 | Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). |
review-insights | Review insights | $0.02 | Charged per company analyzed into a deterministic review_insights summary (rating breakdown, complaint themes, top negative terms, requests). Only when the reviewInsights option is enabled. Eight other actors of mine already charge this exact event at this exact price; this one was simply missed. |
🏷️ Tags & Keywords
glassdoor, glassdoor-scraper, employee-reviews, hr-analytics, company-ratings, jobs, salaries, interviews, employer-branding, market-research, sentiment-analysis
