Kununu Employer Reviews Scraper

Kununu holds thousands of first-hand employee reviews for German-speaking employers, but the site spreads them across paginated pages with no clean way to download them. Reading review pages one screen at a time stops being practical the moment you want to compare companies or track sentiment over a quarter. This scraper does the clicking for you. Paste a Kununu reviews URL and it walks every page, pulls the star rating, headline, pros, cons, suggestions, and the reviewer's role, then hands each review back as one tidy row. Point it at a single employer or feed it a whole list.

What you get

Every review becomes one row with the same set of columns, and anything Kununu does not show comes back as null so your table stays rectangular when you load it into a sheet or database. Each row groups into:

• Employer context — employerName, employerSlug, employerUrl
• The review itself — reviewKey, starRating, reviewHeadline, wouldRecommend, positivePoints, negativePoints, improvementNotes, reviewLink, postedDate
• Who wrote it — departmentArea, workerCategory, tenureStatus
• Run metadata — collectedAt, errorMessage

Quick start

1. Click Try for free and open the input form.
2. Paste a Kununu reviews URL into Employer review page URL, or drop several links into Several employer URLs.
3. Set a Review cap per employer if you want to limit how many reviews come back.
4. Press Start, then download the results as JSON, CSV, Excel, or XML once the run finishes.

Use cases

• Employer branding — track how your own ratings, pros, and cons shift over time and react before sentiment turns
• Competitive benchmarking — line up several employers side by side on star ratings and recurring complaints
• HR and recruiting research — read what current and former staff say about pay, management, and culture before you pitch candidates
• Market and consultancy reports — pull a clean dataset of reviews to fold into employer surveys or workplace studies
• Sentiment and NLP projects — feed the pros, cons, and headlines into your own text-analysis pipeline

Input

Field	Type	Required	Description
employerPageUrl	string	One of employerPageUrl or employerPageUrls	A single Kununu employer reviews URL. The /kommentare ending is added for you if it is missing.
employerPageUrls	array of strings	Optional	A list of Kununu employer reviews URLs to cover several employers in one run.
resultsLimit	integer	No	Most reviews to gather per employer. Collection stops once the cap is reached. Default 50.
timeoutSeconds	integer	No	Seconds to wait on each request before timing out. Default 45; raise it if requests keep timing out.

Example input

{
    "employerPageUrl": "https://www.kununu.com/de/bosch/kommentare",
    "employerPageUrls": [
        "https://www.kununu.com/de/bosch/kommentare",
        "https://www.kununu.com/de/sap/kommentare",
        "https://www.kununu.com/de/allianz/kommentare"
    ],
    "resultsLimit": 50,
    "timeoutSeconds": 45
}

Output

Each review becomes one row, and every field is always present — values Kununu does not expose come back as null so the dataset stays consistent.

Example output

{
    "reviewKey": "3f2a9c1e-7b4d-4e2a-9c5f-1a2b3c4d5e6f",
    "employerName": "Robert Bosch GmbH",
    "employerSlug": "bosch",
    "employerUrl": "https://www.kununu.com/de/bosch/kommentare",
    "starRating": 4.2,
    "reviewHeadline": "Solider Arbeitgeber mit guten Entwicklungsmöglichkeiten",
    "wouldRecommend": "Empfohlen",
    "positivePoints": "Faires Gehalt, flexible Arbeitszeiten und ein starkes Team.",
    "negativePoints": "Entscheidungswege sind manchmal langsam.",
    "improvementNotes": "Mehr Transparenz bei Beförderungen wäre wünschenswert.",
    "departmentArea": "Forschung / Entwicklung",
    "workerCategory": "Angestellte/r oder Arbeiter/in",
    "tenureStatus": "Current employee",
    "postedDate": "2025-11-18T00:00:00+00:00",
    "reviewLink": "https://www.kununu.com/de/bosch/kommentare/statements/abc123/review/3f2a9c1e",
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
reviewKey	string	The review's own UUID, unique to each entry
employerName	string	Name of the reviewed employer
employerSlug	string	The employer's URL slug, such as bosch
employerUrl	string	Kununu reviews page that was visited
starRating	number	Rating given in the review, on a 1.0 to 5.0 scale
reviewHeadline	string	Title the reviewer chose for their write-up
wouldRecommend	string	Whether the reviewer endorses the employer, e.g. Empfohlen or Nicht empfohlen
positivePoints	string	Upsides the reviewer called out
negativePoints	string	Downsides the reviewer flagged
improvementNotes	string	Suggestions the reviewer offered for improvement
departmentArea	string	Team or area the reviewer worked in
workerCategory	string	Reviewer's role bucket as listed on Kununu
tenureStatus	string	Whether the reviewer is a current or former employee
postedDate	string	When the review was posted, ISO 8601 format
reviewLink	string	Direct URL to the single review on Kununu
collectedAt	string	ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason a record failed; null on success

Tips for best results

• Test with a small cap first. Set resultsLimit to 20 or so on one employer, confirm the output fits your pipeline, then raise it for the full pull.
• Use the list field for batches. Drop several URLs into employerPageUrls to gather multiple employers in a single run instead of starting one job per company.
• A bare profile URL works too. Leave off /kommentare and the scraper appends it, so a plain employer link is fine.
• Raise timeoutSeconds if pages run slow. Long review pages and busy periods can stretch response times; 60 seconds gives heavier pages room to load.
• Reviews are mostly in German. Kununu's content reflects its German-speaking audience, so headlines, pros, and cons usually come back in German.

How can I use Kununu employer review data?

How can I use the Kununu Employer Reviews Scraper to benchmark companies against competitors? Drop the reviews URLs for your company and a few rivals into employerPageUrls and run them together. Each review comes back with a star rating, pros, cons, and the reviewer's role, so you can average ratings per employer and compare recurring praise or complaints across the group in one dataset.

How can I track employer reputation on Kununu over time? Run the scraper on the same employer URL on a regular schedule and keep each export. Because every row carries a postedDate and starRating, you can chart how sentiment moves month to month and catch a dip in ratings or a wave of new complaints early.

How can I export Kununu reviews for HR research or sentiment analysis? Set resultsLimit to the number you need and let the scraper page through the employer's reviews. The positivePoints, negativePoints, improvementNotes, and reviewHeadline fields give you clean text to feed straight into a spreadsheet, a survey report, or an NLP model — no copy-pasting from the site.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.