Kununu Reviews Scraper: Extract Employee Reviews from Any Company on Kununu

Kununu Reviews Scraper collects employee reviews and ratings from kununu.com. Point it at a company URL and you get review titles, pros and cons, individual sub-ratings for work-life balance, salary, management, and company culture, plus each reviewer's job title and employment status. Run it on several companies at once. It handles pagination automatically, so you get all reviews, not just the first page.

No manual clicking. No copy-pasting. Just structured review data ready to export.

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What data does this actor extract?

For each review, the actor returns:

Field	Type	Description
reviewId	string	Unique review identifier
companyName	string	Name of the reviewed company
companySlug	string	Company slug from the URL (e.g. mercedes-benz-group)
companyUrl	string	Kununu reviews page that was scraped
overallRating	number	Overall star rating (1.0 to 5.0)
workLifeBalanceRating	number	Work-life balance sub-rating
salaryBenefitsRating	number	Salary and benefits sub-rating
managementRating	number	Management quality sub-rating
companyCultureRating	number	Company culture sub-rating
careerOpportunitiesRating	number	Career growth sub-rating
reviewTitle	string	Headline written by the reviewer
pros	string	Positive aspects mentioned
cons	string	Negative aspects mentioned
suggestions	string	Reviewer's suggestions for improvement
jobPosition	string	Reviewer's job title or role
employmentStatus	string	Current or former employee
workingHoursType	string	Full-time, part-time, etc.
reviewDate	string	Date the review was posted
reviewUrl	string	Direct link to the review
scrapedAt	string	UTC timestamp of when this record was collected
error	string	Error message if scraping failed (null on success)

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How to use it

Input

Field	Type	Required	Default	Description
companyUrl	string	No*	-	Kununu company reviews page URL
companyUrls	array	No*	-	List of company review URLs for bulk scraping
maxItems	integer	No	100	Max reviews to collect per company (max 1000)
requestTimeoutSecs	integer	No	30	Per-request timeout in seconds

*At least one of companyUrl or companyUrls is required.

The /kommentare suffix is added automatically if you leave it off. Both /de/ and /at/ regional URLs work.

Example input

{
    "companyUrl": "https://www.kununu.com/de/mercedes-benz-group/kommentare",
    "maxItems": 50
}

Scraping multiple companies at once:

{
    "companyUrls": [
        "https://www.kununu.com/de/mercedes-benz-group",
        "https://www.kununu.com/de/siemens",
        "https://www.kununu.com/de/google"
    ],
    "maxItems": 200
}

Example output

{
    "reviewId": "1234567",
    "companyName": "Mercedes-Benz Group AG",
    "companySlug": "mercedes-benz-group",
    "companyUrl": "https://www.kununu.com/de/mercedes-benz-group/kommentare",
    "overallRating": 3.8,
    "workLifeBalanceRating": 3.5,
    "salaryBenefitsRating": 4.2,
    "managementRating": 3.4,
    "companyCultureRating": 3.6,
    "careerOpportunitiesRating": 3.9,
    "reviewTitle": "Good employer with room to grow",
    "pros": "Good salary, stable job, international teams",
    "cons": "Bureaucracy slows things down, slow decision-making",
    "suggestions": "More flexible remote work options would help",
    "jobPosition": "Software Engineer",
    "employmentStatus": "Current employee",
    "workingHoursType": "Full-time",
    "reviewDate": "2024-11-15",
    "reviewUrl": "https://www.kununu.com/de/mercedes-benz-group/kommentare/1234567",
    "scrapedAt": "2025-03-01T14:22:10.123456+00:00",
    "error": null
}

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Use cases

• Employer benchmarking: compare ratings across competitors or within an industry before hiring or partnering
• HR research: pull structured review data to spot recurring complaints or praise without reading page by page
• Job market analysis: track how employee sentiment shifts over time for a company or sector
• Recruitment intelligence: check what current and former employees say before targeting candidates at a company
• Reputation monitoring: keep tabs on how a brand scores on work-life balance, management, and culture
• Academic research: collect large-scale review datasets for labor market or organizational behavior studies

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FAQ

Which countries and regions does this work for? The actor supports any Kununu regional URL, including /de/ (Germany), /at/ (Austria), and /ch/ (Switzerland). Just paste the URL as-is.

Do I need to enter the full URL with /kommentare? No. If you paste a company profile URL without the /kommentare suffix, the actor adds it automatically.

Can I scrape more than one company at a time? Yes. Use the companyUrls field to pass a list of URLs. The actor processes each one in sequence and pushes all results to a single dataset.

How many reviews can I collect? Up to 1000 per company per run. Set maxItems to control the limit. The actor follows pagination automatically until it hits your limit or runs out of pages.

What happens if a company page fails? The actor logs the error and saves a record with the error field set, then moves on to the next company. One failed URL does not stop the run.

Does it work for private companies? It works for any company with a public Kununu profile. Private or unlisted profiles are not accessible.

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Integrate with your stack

Results are available as JSON, CSV, Excel, or XML from the Apify dataset. You can connect the actor to Google Sheets, Zapier, Make, or any tool that reads from the Apify API.

Kununu Reviews Scraper runs on Apify's infrastructure with built-in bypass capability, so you do not need to set up proxies or manage IP rotation manually.