Scrape Glassdoor with AI

# Scrape Glassdoor — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Extract Glassdoor company reviews, salary data, interview questions, and job listings using Apify and Claude Code.
**Apify Actor:** `maxcopell/glassdoor-scraper`
**Pricing:** ~$0.40 per 1,000 reviews
## Capabilities
1. **Company Reviews** — Extract review text, star ratings, pros/cons, CEO approval, and reviewer details (role, tenure).
2. **Salary Data** — Pull salary ranges by role, location, and experience level — base pay, bonus, stock, and total comp.
3. **Interview Data** — Extract interview questions, difficulty ratings, and offer acceptance rates.
4. **Company Metrics** — Get overall rating, CEO approval, 'recommend to friend' percentage, and culture ratings.
5. **Job Listings** — Access current job listings with salary estimates, requirements, and posting dates.
## Pipeline
1. **Define targets** — Specify company names, job titles, or locations for salary research
2. **Scrape data** — Extract company reviews, ratings, salaries, interview questions, and job listings
3. **Analyze patterns** — Score employer brand, benchmark salaries, and identify hiring patterns
4. **Load into CRM** — Push company intelligence into Neon database for sales and hiring research
## Use Cases
- **Salary benchmarking:** Extract salary data for any role, location, and company size. Build internal compensation benchmarks without paying for expensive salary survey subscriptions.
- **Competitive employer intelligence:** Track competitor Glassdoor ratings to spot culture problems (low ratings = employee churn = sales opportunity). Monitor changes over time.
- **Hiring signal detection:** Track job listings and interview volume as leading indicators of company growth or pivots. A competitor posting 20 SDR roles means they're scaling outbound.
- **Sales targeting:** Companies with low Glassdoor ratings (under 3.0) often have operational problems. They may be more receptive to efficiency tools and workflow automation.
## Warnings
- Glassdoor has aggressive anti-scraping — login walls, CAPTCHAs, and IP blocking. Success rates are lower than most platforms. Use residential proxies.
- Glassdoor data requires a 'give to get' model — you must leave a review to see reviews. The Apify actor handles this transparently.
- Salary data is self-reported and may not be perfectly accurate. Use as directional guidance, not exact figures. Sample sizes matter.
## Sample Output
```json
{
  "companyName": "HubSpot",
  "companyUrl": "https://www.glassdoor.com/Overview/Working-at-HubSpot-EI_IE227605.htm",
  "overallRating": 4.3,
  "totalReviews": 3456,
  "ceoApproval": 92,
  "recommendToFriend": 87,
  "cultureRating": 4.4,
  "compensationRating": 3.9,
  "workLifeBalance": 4.1,
  "review": {
    "title": "Great culture, getting too corporate",
    "rating": 4,
    "pros": "Amazing culture, unlimited PTO, great benefits, smart colleagues. Remote-first.",
    "cons": "Growing fast means more bureaucracy. Getting harder to make impact. Sales targets are aggressive.",
    "reviewerRole": "Senior Account Executive",
    "employmentStatus": "Current Employee",
    "tenure": "3-5 years",
    "date": "2026-03-10"
  },
  "salary": {
    "role": "Account Executive",
    "basePay": 85000,
    "additionalPay": 45000,
    "totalPay": 130000
  }
}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.