Glassdoor Company Reviews Scraper

What this Actor scrapes

For each company you request, this Actor visits Glassdoor's public company Overview page and its Reviews pages and emits two kinds of rows into one dataset:

1. company_summary — one row per company: overall rating, CEO approval, business outlook, and recommend-to-friend percentage. 2. review — one row per individual review: overall + sub-category ratings (work-life balance, culture, career opportunities, compensation, senior management, diversity), pros, cons, advice to management, job title, employment status, review date, and helpful-vote counts.

What we handle for you

• We clear the bot defenses guarding Glassdoor's review pages — a hardened browser layer with a proven navigation sequence gets through where a plain HTTP request gets turned away.
• We rotate proxy sessions on every retry — a fresh exit IP and session whenever a company's fetch fails.
• Per-company fault isolation — one company that fails to resolve or parse never fails the whole run; it's logged and skipped, and every other company still completes.
• Pydantic v2 input + output validation — every row is a typed, schema-enforced record; fields Glassdoor doesn't expose come back null, never guessed.
• Pay-Per-Event pricing — you're charged per row actually written to your dataset, not per request attempted.
• Honest throughput — Glassdoor's own anonymous-access limits cap full review text at a few reviews per page load; maxReviewsPerCompany and pricing reflect that reality rather than promising cheap bulk collection we can't deliver without a login we refuse to use.

Use cases

• Employer-brand monitoring — track how your own company's reviews and ratings trend over time.
• Recruiting intelligence — pull culture and compensation signals for target companies before an outreach campaign.
• Competitive talent research — compare rating breakdowns and CEO approval across a peer set.
• Investment due diligence — culture and leadership signals as a qualitative input alongside financials.

Input

Paste this into the Apify Console, or send it as the run input over the API. Proxy settings are on by default; you rarely need to touch them.

{
  "companyNames": [
    "Google"
  ],
  "employerIds": [
    9079
  ],
  "maxReviewsPerCompany": 30,
  "includeCompanySummary": true,
  "countryCode": "US"
}

Output

One row per result, schema-validated before it is written. Export JSON, CSV, Excel or XML from the run, or read it over the API.

row_typecompany_nameemployer_idreview_idreview_datejob_titleemployment_statusoverall_ratingrating_work_life_balanceprosconsadvice_to_managementrecommend_to_friendcompany_overall_ratingcompany_ceo_approval_pct

{
  "row_type": "review",
  "company_name": "Google",
  "employer_id": 9079,
  "review_id": "105125064",
  "review_date": "2026-08-09T23:03:51.940",
  "job_title": "Hair Transplant Technician",
  "employment_status": "Current Employee, 2 year(s)",
  "overall_rating": 3,
  "pros": "Good learning experience and flexible working environment.",
  "cons": "Long working hours and sometimes limited career growth.",
  "advice_to_management": "Provide better training opportunities.",
  "count_helpful": 0,
  "count_not_helpful": 0,
  "source_url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm",
  "scraped_at": "2026-08-12T09:00:00+00:00"
}

Pricing

You pay only for results that land. Cap any run with maxTotalChargeUsd. See pricing & billing for worked examples.