Indeed Company Reviews Scraper + Insights

What does Indeed Company Reviews Scraper do?

It scrapes employee reviews from Indeed company pages — ratings, review text, job title, location, whether the reviewer still works there — and then, in the same run, returns a computed summary of what those reviews add up to. Point it at indeed.com company names like Google or Walmart and you get both the rows and the analysis, ready for a spreadsheet, a dashboard, or an LLM.

Every other Indeed reviews scraper hands you a pile of rows and leaves the counting to you. This one also tells you which job titles are unhappy, whether people sour on the company before they leave, how the rating moved month by month, and which words dominate the one-star reviews.

Running on Apify means you get scheduling, a REST API, webhooks, integrations with Make/Zapier/n8n, and proxy rotation without configuring any of it yourself.

Why use it?

• Competitive HR intelligence — see how a rival employer is actually rated by the people doing the work, broken out by role and site.
• Pre-acquisition and vendor due diligence — a company whose current employees rate it far lower than its leavers did is a company in the middle of something.
• Recruiting — find out what candidates read about your client before the interview, and which roles have the worst reputation to sell.
• Job seekers and career sites — compare employers on the dimensions that matter (management, pay, work-life balance) rather than a single star rating.
• Feeding an LLM — the summary row is compact, numeric, and already deduplicated, so it fits in a prompt without you paying to summarize thousands of raw reviews.

How to use it

1. Click Try for free and sign in to Apify.
2. Put one or more company names into Companies — Google, Walmart, or a full URL like https://www.indeed.com/cmp/Amazon.com/reviews.
3. Leave Max reviews per company at 20 for a fast overview, or raise it when you want the review text.
4. Click Start. A 20-review run finishes in well under a minute.
5. Download the dataset as JSON, CSV, Excel, or HTML, or pull it from the API.

Input

Field	Type	Default	What it does
companies	array	["Google"]	Company names or Indeed review URLs. Home Depot becomes Home-Depot.
maxReviewsPerCompany	integer	20	Reviews per company. Indeed serves 20 per page, ~20–30s per page.
country	string	US	Two-letter code to filter reviews by country.
includeReviews	boolean	true	Output the individual review rows.
includeInsights	boolean	true	Output the per-company summary row.
filterTopic	string	—	Work-life balance, pay and benefits, job security, management, or culture.
filterJobTitle	string	—	e.g. Software Engineer.
filterLocation	string	—	e.g. New York, NY.
maxConcurrency	integer	2	Keep it low. Higher values cause more failures, not faster runs.

{ "companies": ["Google", "Microsoft", "https://www.indeed.com/cmp/Amazon.com/reviews"] }

Output

Two kinds of rows land in one dataset. Download as JSON, CSV, Excel, or HTML.

type: "review" — one row per review

{
  "type": "review",
  "company": "Google",
  "reviewId": "6dbdd4271e192b00",
  "title": "Great place to work",
  "text": "The full review text as written by the reviewer.",
  "overallRating": 5,
  "ratings": {
    "workLifeBalance": 4,
    "compensationAndBenefits": 5,
    "jobSecurityAndAdvancement": 3,
    "management": 4,
    "cultureAndValues": 5
  },
  "jobTitle": "Senior Software Engineer",
  "normalizedJobTitle": "Senior Software Engineer",
  "location": "Mountain View, CA",
  "country": "US",
  "isCurrentEmployee": false,
  "submissionDate": "2026-08-17",
  "helpfulCount": 3,
  "reviewUrl": "https://www.indeed.com/cmp/Google/reviews/..."
}

type: "company_insights" — one row per company

{
  "type": "company_insights",
  "company": "Walmart",
  "overview": {
    "overallRating": 3.4,
    "totalReviewCount": 282938,
    "categoryRatings": { "management": 3.1, "workLifeBalance": 3.3 },
    "ratingDistribution": { "star1": { "count": 44000, "share": 0.155 } },
    "polarization": { "extremeShare": 0.48, "note": "..." },
    "topics": [{ "name": "Management", "count": 21000, "rating": 3.0 }]
  },
  "sample": { "analysedReviewCount": 200, "coverage": 0.0007, "failedPages": 0 },
  "employmentStatus": {
    "currentEmployees": { "reviewCount": 66, "averageRating": 2.42 },
    "formerEmployees":  { "reviewCount": 134, "averageRating": 2.69 },
    "gap": -0.27
  },
  "byJobTitle": [
    { "key": "Cashier", "reviewCount": 11, "averageRating": 3.73 },
    { "key": "Personal Shopper", "reviewCount": 13, "averageRating": 2.31 }
  ],
  "byLocation": [{ "key": "Austin, TX", "reviewCount": 3, "averageRating": 1.67 }],
  "trend": [{ "month": "2026-08", "reviewCount": 100, "averageRating": 2.51 }],
  "complaintTerms": {
    "basedOnReviewCount": 96,
    "terms": [{ "term": "management", "reviewCount": 46, "share": 0.479 }]
  },
  "mostHelpfulReviews": [{ "overallRating": 2, "helpfulCount": 37, "reviewUrl": "https://www.indeed.com/cmp/..." }]
}

Those Walmart numbers are from a real run: of 200 reviews sampled, "management" appears in 46 of the low-rated ones, cashiers rate the job 3.73 while personal shoppers rate it 2.31, and current employees score it lower than the people who already left.

Data fields

Field	Description
overallRating	1–5 stars for the review as a whole
ratings.*	Five optional sub-ratings; null when the reviewer skipped the question
jobTitle / normalizedJobTitle	Role as written, and Indeed's normalized form
location / country	Where the reviewer worked
isCurrentEmployee	true if they still work there
submissionDate	ISO date
helpfulCount / unhelpfulCount	Votes from other readers
overview.*	Company-wide figures covering all reviews, not just the sampled ones
employmentStatus.gap	Current-employee average minus former-employee average
byJobTitle / byLocation	Average rating and count per group (groups under 3 reviews are omitted)
trend	Monthly review count and average rating
complaintTerms	Words most common in one- and two-star reviews

Getting a cheap overview

Leave maxReviewsPerCompany at 20. One page per company gives you the full rating distribution, category ratings and topic breakdown for the company's entire review history — Indeed exposes those on the first page — plus 20 recent reviews. That is enough to compare fifty employers without paying to pull thousands of rows.

How much does it cost to scrape Indeed reviews?

This Actor is currently free to use. There is no per-result charge — you pay only your own Apify platform usage (compute and proxy), which is covered by the free tier for ordinary runs. The default run (one company, 20 reviews) uses well under a cent of platform usage and finishes in about 20 seconds.

Two knobs keep platform usage down. includeReviews: false gives you summaries only, which is the cheapest way to compare many employers. includeInsights: false gives you raw rows only.

Tips

• Comparing many employers? Pass them all in companies with maxReviewsPerCompany: 20 and includeReviews: false. One row per company, fast, cheap.
• Investigating one employer? Raise maxReviewsPerCompany to 200–500 so the per-job-title and per-location breakdowns rest on a real sample, and watch sample.coverage.
• Only care about one problem area? filterTopic: "mgmt" pushes the filter to Indeed itself, so the whole run is about management reviews.
• Scheduling it weekly and diffing the trend array is the cheapest way to catch a company's rating turning.

FAQ

Does it need an OpenAI or Anthropic key? No. Every number in the summary is arithmetic over the rows that were fetched. Nothing is sent to a language model, and results are identical for identical input.

Why is coverage low? A company can have hundreds of thousands of reviews and you asked for 200. The overview block is still complete — only the sample blocks reflect the subset.

Why are sub-ratings often null? Indeed makes them optional. null means the reviewer skipped that question. Averages ignore skipped answers and report answeredCount so you can judge how solid each is.

Can I get reviews for a specific role or office? Yes — filterJobTitle and filterLocation push the filter to Indeed, so the entire run targets that slice.

Does it return reviewer names? No. Indeed does not publish them and this Actor does not invent them. Output is limited to what the reviewer chose to publish: rating, text, job title, location, and tenure status.

Why did some pages fail? Pages are fetched through Apify Proxy, which occasionally returns a transient error. The Actor retries; anything still missing is reported in sample.failedPages rather than silently dropped.

Limitations and legal

• Only pages that Indeed's robots.txt permits for general crawlers are fetched. Login-gated pages, individual member pages, and the review submission flow are out of scope.
• Deep pagination is slower and less reliable than the first few pages. Thousands of reviews for a single company means a long run.
• Unofficial and independent. Not affiliated with, authorized by, endorsed by, or sponsored by Indeed or Recruit Holdings.
• This Actor collects publicly available information and does not return reviewer names. Reviews are nonetheless written by real people, and the combination of job title, location and tenure can be identifying in a small workplace. Review text may also mention third parties.
• You are the data controller for whatever you collect. You are responsible for having a lawful basis under the privacy laws that apply to you (GDPR/UK GDPR if you handle data about people in the EU or UK), and for complying with the source site's terms.
• Do not use this data to identify, contact, or retaliate against individual reviewers, to make decisions about individual people, or to match reviews against HR, CRM or social media records.

Support

Found a bug or want a field that is not here? Open an issue on the Issues tab and it will be read.