Glassdoor Company Intelligence Scraper

Turn a list of company names into rich company intelligence as clean JSON — the full Glassdoor ratings breakdown, 1–5 star distribution, firmographics, and Glassdoor review/salary/job counts — with an option to pull the employer's full review set (no 200-cap).

Built on Glassdoor's mobile API, which is anonymous and has no anti-bot wall, so runs are reliable and don't break when Glassdoor rotates its web protection.

Who it's for

• Sales intelligence & lead-gen — enrich target-account lists with employer size, industry, HQ, ratings and hiring signals (open-job counts).
• Competitive & talent intelligence — benchmark employer reputation and employee sentiment against peers.
• Investors & analysts — culture and employer-quality signals for diligence.
• PropTech / HR-SaaS developers — a stable company + reviews schema for products, dashboards and webhooks.

What you get — output fields

Rows carry a record_type of company or review.

Company row

Field	Type	Description
company_id / company_name / company_full_name	int / string	Glassdoor employer id and names
website / headquarters / size / revenue / type / year_founded	string/int	Firmographics
industry / sector / industry_id	string / int	Industry classification
review_count / salary_count / job_count	int	Glassdoor content counts
rating_overall	number	Overall rating (1–5)
rating_career_opportunities / _comp_and_benefits / _culture_and_values / _diversity_and_inclusion / _senior_management / _work_life_balance	number	Sub-ratings (1–5)
recommend_to_friend_pct / ceo_rating_pct	number	Approval fractions (0–1)
ceo_name / ceo_title	string	Rated CEO
reviews_five_star … reviews_one_star	int	1–5 star distribution
reviews_url / salaries_url / jobs_url	string	Glassdoor page links

Review row (when includeReviews is on)

Field	Type	Description
review_id / review_datetime	int / string	Review id and timestamp
summary / pros / cons / advice	string	Review text
job_title / location_name / is_current_job / length_of_employment	mixed	Reviewer context
rating_overall + sub-ratings	number/string	Per-review ratings
count_helpful / featured / has_employer_response	mixed	Engagement signals

High-value use cases

1. Account enrichment — feed a CRM/lead list with employer size, industry, HQ, ratings and open-job counts for prioritization.
2. Employer benchmarking — compare sub-ratings and star distribution across a set of competitors in one run.
3. Reputation monitoring — schedule weekly pulls to track rating and sentiment drift; alert on new negative reviews.
4. Reviews analysis — pull the full review set (pros/cons/advice + sub-ratings) for NLP theme extraction and sentiment scoring.
5. Diligence — culture, work-life and leadership signals for investment or partnership evaluation.

Input parameters

Field	Type	Default	Description
companyNames	array	["Salesforce"]	Company names to resolve and scrape
companyIds	array	—	Glassdoor employer ids (skip name resolution)
maxCompaniesPerName	integer	1	Employer matches to keep per name
includeReviews	boolean	false	Also emit one row per review
maxReviewsPerCompany	integer	100	Cap reviews per company
reviewSort	enum	RELEVANCE	RELEVANCE, DATE, RATING_ASC

Example input

{
  "companyNames": ["Salesforce", "Google"],
  "maxCompaniesPerName": 1,
  "includeReviews": true,
  "maxReviewsPerCompany": 200
}

Example output (company row)

{
  "record_type": "company",
  "company_id": 11159,
  "company_name": "Salesforce",
  "industry": "Enterprise Software & Network Solutions",
  "size": "10000+ Employees",
  "revenue": "$10+ billion (USD)",
  "headquarters": "San Francisco, CA",
  "year_founded": 1999,
  "rating_overall": 4.0,
  "rating_work_life_balance": 3.9,
  "recommend_to_friend_pct": 0.79,
  "ceo_name": "Marc Benioff",
  "ceo_rating_pct": 0.78,
  "reviews_five_star": 4327,
  "reviews_one_star": 372,
  "review_count": 26478,
  "salary_count": 58707,
  "job_count": 1348,
  "scraped_at": "2026-09-09T02:40:00Z"
}

Scheduling & integrations

• Schedule runs to track rating/sentiment drift over time.
• Webhooks on completion push new rows to your app, Make or Zapier.
• Export to JSON, CSV, Excel or Google Sheets, or use the dataset API.

Use with AI assistants (MCP)

Apify Actors are callable from AI assistants via the Model Context Protocol, so an agent can pull a live company profile on demand (e.g. "compare Glassdoor ratings and CEO approval for Salesforce vs Workday"). Point your MCP client at this Actor and pass the same input schema.

FAQ

Can I get all reviews? Yes — enable includeReviews. Companies can have tens of thousands of reviews (there is no 200-cap); maxReviewsPerCompany bounds how many you pull per company.

How do I target a company precisely? Pass companyIds (the Glassdoor employer id, the E<id> in a Glassdoor URL) to skip name resolution, or raise maxCompaniesPerName to disambiguate similar names.

How fresh is the data? Live — every run queries Glassdoor at request time.

Do I need a proxy? Yes — use Residential proxy (the default). Glassdoor's mobile API serves residential IPs only and blocks datacenter IPs, so runs without residential proxy return no data. No login or credentials are needed.

Is scraping this legal? You are responsible for your use. The Actor collects publicly available company information and reviews for research and analytics; comply with Glassdoor's terms and applicable law, and review data-protection rules before processing review text.

Reliability? The mobile API is a stable JSON/GraphQL backend with no Cloudflare JS challenge, so this Actor does not break on web anti-bot rotations; transient network errors are retried automatically. It does require Residential proxy (the default) because the API blocks datacenter IPs.