✨ Glassdoor Reviews Scraper — full employee reviews, no 200-cap

Pull employee reviews from any Glassdoor company page into a clean dataset. Give it a company URL, the actor paginates through the review feed and emits one normalized review per record — ratings, pros/cons, job title, location, tenure and employer responses — ready for JSON / CSV / Excel.

It runs a real browser (Puppeteer + stealth) and reads the page's embedded Apollo data, so you get structured reviews without a third-party API key.

🚀 What this actor does

1. Takes one or more Glassdoor company URLs (review or overview URLs both work).
2. Opens the reviews feed and paginates (_P2, _P3, …) in the order you choose.
3. Extracts each review from the page's embedded data and normalizes it into a flat record.
4. Applies optional date and language filters, then pushes each review to the dataset.

🧩 Input

Full schema: .actor/input_schema.json. Example: input.json.

Field	Type	Description
startUrls (required)	array	Glassdoor company URLs, e.g. https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm. Overview URLs with the E12345 id also work.
max_reviews	integer	Max reviews to collect across all URLs (default 100).
sort_by	string	RELEVANCE, DATE, RATING, or RATING_ASC (default RELEVANCE).
reviews_start_date	string	Drop reviews before this YYYY-MM-DD date.
include_all_languages	boolean	Keep reviews in any language (default false).
language_code	string	Language to keep when the above is off (default eng).
file_name	string	Run label attached to every record.
max_concurrency	integer	Parallel pages; keep low (1–3) to avoid blocks.
proxy	object	Apify proxy configuration (residential recommended).

{
    "startUrls": [
        { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }
    ],
    "max_reviews": 50,
    "sort_by": "DATE",
    "language_code": "eng"
}

📤 Output

One dataset item per review. Full list: .actor/dataset_schema.json.

• Review: summary, pros, cons, advice, review_date, review_id
• Ratings: rating_overall, rating_culture_values, rating_compensation_benefits, rating_career_opportunities, rating_work_life_balance, rating_senior_management, rating_diversity_inclusion, ceo_rating, business_outlook, recommend_to_friend
• Reviewer: job_title, location, is_current_job, length_of_employment, employment_status
• Engagement: count_helpful, count_not_helpful, featured, employer_response
• Company: employer_id, employer_name, company_logo, company_overall_rating
• Context: review_language, source_url, file_name

{
    "review_id": "101",
    "review_date": "2024-06-01T10:00:00",
    "summary": "Great place to grow",
    "pros": "Smart people, good benefits",
    "cons": "Long hours during launches",
    "rating_overall": 5,
    "rating_work_life_balance": 3,
    "ceo_rating": "APPROVE",
    "recommend_to_friend": "POSITIVE",
    "job_title": "Software Engineer",
    "location": "London",
    "is_current_job": true,
    "employer_name": "Google",
    "source_url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
}

Note: Glassdoor protects its pages aggressively. Use Apify residential proxies and keep max_concurrency low. Selectors and the embedded data shape can change over time; the extractor reads the page's Apollo cache and falls back gracefully.