kununu Employer Data & Reviews Scraper (Germany, Austria, Switzerland)

Turn any kununu employer profile into structured data — ratings, category scores, benefits, salary ranges per job role and complete reviews including the comment written for every single rating factor.

kununu is the leading employer-review platform in the German-speaking market (part of New Work / XING) with millions of reviews. It has no public API. This actor gives you one.

What makes this actor different

Most employer-review scrapers return a company name and a star rating. This one returns the data an HR-tech product or an employer-branding analysis actually needs:

• ⭐ Category scores with sub-factors — not just "3.8", but career (salary, image, career development), culture (atmosphere, communication, teamwork, management…), work environment, diversity — each with its own review count
• 💶 Salary ranges per job role — min, max, median and average per position, with the number of entries behind each figure, plus the salary-satisfaction split and how compensation compares to the industry
• 🎁 Benefits with confirmation rates — "68 % of reviewers confirm a canteen"
• 📈 Industry benchmark built in — industryAverageScore and the ready-made scoreVsIndustry delta, so a company is instantly comparable to its sector
• 💬 Employer responsiveness — response rate and average response time in days: a strong signal for employer-branding sales
• 🗣 Reviews in full depth — positive / negative / suggestion text, plus each factor rating with its individual comment, and the employer's replies
• 🇩🇪🇦🇹🇨🇭 All three DACH countries in one actor

Use cases

• HR tech & employer branding — enrich company records with employer scores, benefits and salary bands
• Competitive talent intelligence — how does your employer rating compare to the companies you compete with for candidates?
• Recruiting & market research — salary benchmarks per job role and region
• Sentiment analysis — thousands of structured review texts, ready for NLP
• Lead scoring for HR vendors — low score + low response rate + unclaimed profile = a company with an employer-branding problem
• AI agents — clean schema, callable via MCP

Input example

{
    "companies": [
        "https://www.kununu.com/de/siemens",
        "sap",
        "at/red-bull"
    ],
    "country": "de",
    "include_salary": true,
    "include_reviews": true,
    "review_type": "employee",
    "max_reviews_per_company": 100,
    "output_type": "company"
}

Companies can be full kununu URLs or plain slugs. Prefix a slug with a country (at/red-bull) to mix markets in one run.

Output example (shortened)

{
    "companyName": "Siemens AG",
    "profileUrl": "https://www.kununu.com/de/siemens",
    "score": 3.8,
    "industryAverageScore": 3.4,
    "scoreVsIndustry": 0.4,
    "recommendationRate": 85,
    "totalReviews": 6151,
    "totalReviewsEmployees": 5813,
    "employerResponseRate": 11,
    "employerResponseTimeDays": 55,
    "firstReviewYear": 2007,
    "isClaimed": false,
    "scoreBreakdown": [
        {
            "category": "career",
            "score": 3.9,
            "totalReviews": 5511,
            "factors": [
                { "factor": "salary", "score": 4.1 },
                { "factor": "image", "score": 3.9 },
                { "factor": "career", "score": 3.7 }
            ]
        }
    ],
    "benefits": [
        { "benefit": "cantine", "confirmedBy": 3930, "percentage": 68 },
        { "benefit": "homeOffice", "confirmedBy": 3173, "percentage": 55 }
    ],
    "salaryRanges": [
        {
            "jobTitle": "Projektmanager:in",
            "salaryMin": 41300,
            "salaryMax": 117600,
            "salaryMedian": 75000,
            "salaryAverage": 78900,
            "basedOnEntries": 223
        }
    ],
    "salarySatisfaction": { "positivePercentage": 76, "neutralPercentage": 15, "negativePercentage": 9 },
    "compensationVsIndustryPercent": 21,
    "reviews": [
        {
            "title": "Meine Erfahrung als langjähriger Mitarbeiter",
            "score": 4.5,
            "recommended": true,
            "createdAt": "2026-07-30T00:00:00+00:00",
            "positionGroup": "student",
            "department": "it",
            "positiveText": "Alle Benefits und die Kollegen …",
            "negativeText": "…",
            "suggestionText": "…",
            "factorRatings": [
                { "factor": "atmosphere", "score": 5, "comment": "Sehr lockere Atmosphäre" }
            ],
            "employerResponses": []
        }
    ]
}

Prefer a flat table? Set output_type: "reviews" to get one row per review with the company data attached — ideal for Excel, Google Sheets or a database import.

Performance & cost

The actor opens one browser session per run and reuses it for every page, so after a ~2 second start each company profile loads in well under a second. Reviews are paginated 10 per page — set max_reviews_per_company to control run time and cost. Turn include_reviews off for a fast company-level scan of hundreds of employers.

Rating factor reference

Rating keys are stable and locale-independent — the same keys come back for Germany, Austria and Switzerland, so a dashboard built on them keeps working.

Category	Factors
career	salary, image, career
culture	atmosphere, communication, teamwork, management, colleagues, interestingTasks
work_environment	workConditions, environment
diversity	equality, oldColleagues

Limitations — honestly stated

• kununu publishes no official API; this actor reads the public website, so a site redesign can require an update. A daily automated health check runs against it and fixes ship quickly.
• Reviews load 10 per page. A company with 5,000 reviews needs 500 page loads — use max_reviews_per_company deliberately.
• Culture-compass data is empty for companies with too few submissions — kununu itself hides it, so no actor can return it.
• Review texts are in German, as written by reviewers. Field names, rating keys and all metadata are English.
• If kununu's bot protection ever blocks a run, the actor fails visibly instead of writing empty rows — a silent empty dataset is worse than an error.

Legal & data protection

Only public, aggregate and anonymous data is collected:

• kununu reviews are anonymous by design — no reviewer identity exists on the platform and none is extracted. No user profiles are visited.
• No individual salary entries tied to a person — only the aggregated ranges kununu publishes, each with its sample size (basedOnEntries).
• No login-protected content, no employer dashboards.
• robots.txt: kununu allows the first review page per company and disallows the paginated ones. Set respect_robots_txt: true to stay strictly within those rules. No other kununu actor offers this switch.

Legal basis for B2B market research is typically legitimate interest (Art. 6(1)(f) GDPR); as the operator of the run you are the controller of the data you extract. Not affiliated with or endorsed by kununu GmbH or New Work SE.

Kununu-Daten exportieren (Deutsch)

Dieser Actor exportiert Arbeitgeberbewertungen von kununu.com als strukturierte Daten — für Deutschland, Österreich und die Schweiz.

Enthalten sind der kununu-Score inklusive Branchenvergleich, die Bewertungen je Kategorie mit allen Unterfaktoren, bestätigte Benefits mit Prozentwerten, Gehaltsspannen je Jobtitel (Minimum, Maximum, Median, Durchschnitt und Anzahl der Angaben), die Gehaltszufriedenheit sowie auf Wunsch einzelne Bewertungen mit Volltext, Faktor-Bewertungen samt Kommentar und den Antworten des Arbeitgebers.

Typische Anwendungsfälle: Employer-Branding-Monitoring, Wettbewerbsanalyse im Recruiting, Gehaltsbenchmarks, Anreicherung von CRM- oder Bewerberdaten sowie Sentiment-Analysen. Export als JSON, CSV oder Excel — oder direkt per API.

FAQ

Is there an official kununu API? No. kununu offers no public API or data feed. This actor is the practical alternative for programmatic access.

Do I need proxies? No. The actor handles kununu's bot protection itself. Apify Proxy can be enabled optionally for very large jobs.

How do I get the data into Excel or Google Sheets? Run the actor, then export the dataset as CSV or XLSX from the Apify console — or use output_type: "reviews" for a flat one-row-per-review table.

Can I monitor employers continuously? Yes. Schedule the actor (daily, weekly) with the companies you care about and send the dataset to a webhook, Google Sheets, Slack or your database.

What does a run cost? Pricing is pay-per-event: a small start fee plus a price per record. A company-level scan of 100 employers therefore costs a fraction of a dollar; see the Pricing tab for the current rates.

What does a run cost?

What you export	Cost
100 companies, company level	$0.12
1,000 companies, company level	$1.02
1 company with 1,000 reviews	$1.02
100 companies with 100 reviews each	$10.02

$0.02 per run start plus $0.001 per record. In output_type: "company" one company is one record; in "reviews" each review is a record.

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Support

Need another field, country, filter or export shape? Open an issue in the Issues tab — response within 1–2 business days.