# Changelog of Glassdoor Scraper — Reviews, Salaries, Jobs & Interviews (`sian.agency/glassdoor-data-scraper`) Actor

- **URL**: https://apify.com/sian.agency/glassdoor-data-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/glassdoor-data-scraper.md

## Changelog

All notable changes to the Glassdoor Scraper will be documented in this file.

### \[2026-06-06]

#### 🎉 Glassdoor Scraper — Launch!

- **9 Operations in One Actor** — company search, overview, reviews, company jobs, salaries (role lookup), salaries (bulk), interviews, job search, and salary estimation.
- **Full Interview Data** — scrape Glassdoor interview questions, difficulty, outcome, and process descriptions — data most Glassdoor scrapers don't expose.
- **Dual Salary Engines** — targeted single-role compensation lookup plus bulk company-wide comp with base / cash-bonus / stock-bonus min, median, and max breakdowns.
- **Employer-Brand Intelligence** — full company overview with overall and sub-ratings (culture, work-life balance, diversity, senior management), CEO, size, HQ, and competitors.
- **14 Regional Glassdoor Sites** — US, UK, Canada, Germany, France, India, Australia, Singapore and more via the `domain` field.

#### 💎 User Benefits

- HR-tech and employer-branding teams get the complete employer story — reviews, salaries, interviews, and jobs — from one clean, query-ready dataset.
- Pay-per-result pricing means low-volume and evaluation runs cost cents, with no flat monthly subscription wall.
- Curated camelCase fields (companyId, medianBaseSalary, reviewSummary, difficulty…) load straight into ATS, people-analytics, and BI tools.
- Resilient anti-bot handling automatically retries dropped connections so runs don't silently fail.

#### 🎯 Use Cases

- Employer-branding teams auditing their reputation and sub-ratings against competitors.
- Compensation analysts building pay bands with base, bonus, and stock-bonus benchmarks.
- Recruiting-intelligence analysts tracking competitor hiring, open roles, and salary ranges.
- Career-coaching and L\&D teams building interview-prep content from real interview questions and outcomes.