Kununu Company Reviews & Salary Scraper

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The Kununu Company Score Scraper on Apify provides powerful, structured insights into employer reputation, employee satisfaction, and salary transparency — all directly sourced from Kununu.

This fast and intelligent scraper extracts company ratings, employee and candidate reviews, salary benchmarks, and sentiment summaries for thousands of organizations. It supports multiple input modes, from direct Kununu URLs, company slugs, or even any company website using AI-powered web search to automatically resolve the right Kununu profile.

Whether you’re in HR, recruitment, employer branding, or market research, this scraper delivers clean, structured data that helps you understand how employees and candidates truly perceive a company — ready for export in JSON, CSV, or XLSX formats.

🗝️ Key Features

• ✅ Flexible Input Methods:

  • Direct Kununu company page URLs for instant score extraction
  • Kununu company slugs for streamlined batch processing
  • Company names with intelligent matching
  • AI Web Search Integration: Input any company website URL and automatically resolve to the corresponding Kununu company profile

• ✅ Comprehensive Score & Review Extraction:

  • Retrieves overall company ratings, employee and candidate scores, and industry benchmarks
  • Extracts historical rating trends and satisfaction data over time
  • Collects recommendation rates, review counts, and key company metadata with timestamps

• ✅ Salary Insights & Benchmarking:

  • Access average, median, minimum, and maximum salary data per job title
  • Compare compensation against industry averages and satisfaction scores
  • Perfect for salary benchmarking, pay equity analysis, and HR strategy

• ✅ Authentic Review Summaries:

  • Extracts full, unaltered employee and candidate review texts directly from Kununu
  • Captures pros, cons, and suggestions sections for genuine sentiment analysis
  • Ideal for natural language processing and HR research use cases

• ✅ Built for Performance:

  • Optimized for fast, reliable data extraction with intelligent error handling
  • Scales seamlessly using Apify’s proxy infrastructure
  • Maintains consistent data integrity across high-volume workloads

• ✅ Flexible Export Options:

  • Download structured results as JSON, CSV, XLSX, or JSONL
  • Easy integration with Python, R, Power BI, Excel, or any analytics platform
  • Ideal for employer branding, HR analytics, and competitive research

🖇️ Use Cases

• HR & Employer Branding Teams: Benchmark company reputation, identify sentiment drivers, and track brand perception over time.

• Recruiters & Talent Acquisition: Understand candidate experiences and feedback to optimize the hiring process.

• Employer Branding Agencies: Compare and monitor company ratings to guide brand reputation improvement strategies.

• Data Analysts & Researchers: Collect structured review data for sentiment analysis, trend modeling, and retention insights.

• Competitor Intelligence & Market Research: Analyze public perception and salary positioning across industries and competitors.

• Universities & Labor Market Experts: Study employee satisfaction, salary fairness, and organizational culture trends at scale.

📌 Output

Table View Output

Reviews Table 🔖

Companies Table 🏦

Salaries Table 💵

Company & Reviews Data JSON

Requires Company Name / Slug or Kununu URL Input

{
    "data_captured_at": "2026-01-20T20:23:47.367124",
    "company_uuid": "a5dd88da-e3a9-4553-a503-49cdc624862b",
    "company_slug": "mercedes-benz-group",
    "company_name": "Mercedes-Benz Group",
    "industry": "Automobil",
    "employer_segment": "giant",
    "employee_number": null,
    "revenue": null,
    "verified": true,
    "is_top_company": true,
    "top_company_years": [2026, 2025, 2024, 2023, 2022],
    "paying_top_company_badge": false,
    "company_website": "https://www.career.daimler.com",
    "company_overall_score": 3.9,
    "company_overall_score_trend_last_24_months": 3.9,
    "company_overall_score_trend_older_than_24_months": 4.0,
    "company_overall_score_history": [
        {
            "year": 2022,
            "score": 3.8,
            "score_rounded": 4.0,
            "total_reviews": 440
        },
        {
            "year": 2023,
            "score": 3.9,
            "score_rounded": 4.0,
            "total_reviews": 592
        },
        {
            "year": 2024,
            "score": 3.9,
            "score_rounded": 4.0,
            "total_reviews": 691
        },
        {
            "year": 2025,
            "score": 3.9,
            "score_rounded": 4.0,
            "total_reviews": 751
        },
        {
            "year": 2026,
            "score": 3.8,
            "score_rounded": 4.0,
            "total_reviews": 59
        }
    ],
    "industry_average_score": 3.5,
    "employees_overall_score": 3.9,
    "employees_overall_score_rounded": 4.0,
    "candidates_overall_score": 2.7,
    "candidates_overall_score_rounded": 2.5,
    "newest_employee_review_date": "2026-01-27T00:00:00Z",
    "oldest_employee_review_date": "2025-08-20T00:00:00Z",
    "newest_candidate_review_date": "2025-10-31T00:00:00Z",
    "oldest_candidate_review_date": "2019-05-29T00:00:00Z",
    "company_recommendation_percentage": 78.0,
    "company_recommended_reviews_count": 1127,
    "company_not_recommended_reviews_count": 314,
    "salary_reviews_score": 4.2,
    "salary_reviews_score_rounded": 4.0,
    "salary_statisfaction_positive_percentage": 80.0,
    "salary_statisfaction_negative_percentage": 8.0,
    "salary_statisfaction_neutral_percentage": 12.0,
    "salary_roles_count": 319,
    "salary_reviews_count": 6673,
    "salary_industry_comparison": 20.0,
    "reviews_count": 7467,
    "employee_reviews_count": 6992,
    "reviews_apprenticeship_count": 188,
    "candidate_reviews_count": 475,
    "total_reviews_with_text_count": 4353,
    "deleted_reviews_count_last_24_months": 113,
    "candidate_reviews_score_4_to_5": 141.0,
    "candidate_reviews_score_4_to_5_percentage": 30.0,
    "candidate_reviews_score_3_to_4": 56.0,
    "candidate_reviews_score_3_to_4_percentage": 12.0,
    "candidate_reviews_score_2_to_3": 72.0,
    "candidate_reviews_score_2_to_3_percentage": 15.0,
    "candidate_reviews_score_1_to_2": 206.0,
    "candidate_reviews_score_1_to_2_percentage": 43.0,
    "employee_reviews_score_4_to_5": 4213.0,
    "employee_reviews_score_4_to_5_percentage": 60.0,
    "employee_reviews_score_3_to_4": 1677.0,
    "employee_reviews_score_3_to_4_percentage": 24.0,
    "employee_reviews_score_2_to_3": 792.0,
    "employee_reviews_score_2_to_3_percentage": 11.0,
    "employee_reviews_score_1_to_2": 310.0,
    "employee_reviews_score_1_to_2_percentage": 4.0,
    "reviews_response_time_days": 8.0,
    "total_reviews_responded_percentage": 0.4,
    "total_reviews_response_count": 32,
    "total_employer_reviews_response_count": 29,
    "total_apprenticeship_reviews_response_count": 1,
    "total_application_reviews_response_count": 2,
    "reviews_ai_summary": "Die Mercedes-Benz Group wird von ihren Mitarbeiter:innen insgesamt positiv bewertet. Besonders die kollegiale Atmosphäre, die Vergütung und die Arbeitsbedingungen werden geschätzt. Die Beschäftigten loben den Zusammenhalt unter Kolleg:innen, der als stark und unterstützend beschrieben wird, obwohl es seit den Sparmaßnahmen und Umstrukturierungen eine zunehmende Anspannung gibt. Positiv hervorgehoben werden auch die flexiblen Arbeitszeiten und die Homeoffice-Möglichkeiten, die zu einer guten Work-Life-Balance beitragen. Das Gehalt und die Sozialleistungen werden als überdurchschnittlich gut wahrgenommen, wenngleich einige Mitarbeiter:innen eine mangelnde leistungsgerechte Vergütung bemängeln.\n\nAls Herausforderungen werden die Führungskultur und die Karriereentwicklung genannt. Während direkte Vorgesetzte oft als kompetent und unterstützend beschrieben werden, gibt es Kritik am höheren Management bezüglich mangelnder Kommunikation und Wertschätzung. Die Karrierechancen werden als stark abhängig von persönlichen Kontakten wahrgenommen, was zu Frustration führt. Trotz der aktuellen Herausforderungen durch Sparmaßnahmen und Umstrukturierungen schätzen die Mitarbeiter:innen die Marke Mercedes-Benz und ihre Arbeit in einem innovativen Umfeld.\n\nGut finden Arbeitnehmende:\n- Überdurchschnittliche Vergütung und Sozialleistungen\n- Flexible Arbeitszeiten und Homeoffice-Möglichkeiten\n- Kollegialen Zusammenhalt im direkten Umfeld\n\nAls verbesserungswürdig geben sie an:\n- Kommunikation bei strategischen Entscheidungen und Veränderungen\n- Chancengleichheit bei Beförderungen ohne Abhängigkeit von \"Vitamin B\"\n- Zunehmende Arbeitsverdichtung durch Sparmaßnahmen",
    "company_linkedin_url": null,
    "company_instagram_url": null,
    "company_facebook_url": null,
    "company_twitter_url": null,
    "company_youtube_url": null,
    "company_xing_url": null,
    "reviews": [
        {
            "uuid": "514e562a-7ffe-4c3c-a185-bf01a37f15c1",
            "type": "employer",
            "created_at": "2025-05-31T00:00:00Z",
            "updated_at": "2025-05-31T00:00:00Z",
            "position": "employee",
            "title": "Arbeitsatmosphäre unterschiedlich je nach Team",
            "score": 4.3,
            "score_rounded": 4.5,
            "recommended": true,
            "multiple_review": false,
            "ratings": [
                {
                    "category": "leadership",
                    "score": 5.0,
                    "score_rounded": 5.0,
                    "text": "Teamabhängig"
                },
                {
                    "category": "tasks",
                    "score": 5.0,
                    "score_rounded": 5.0,
                    "text": "Teamabhängig"
                },
                {
                    "category": "atmosphere",
                    "score": 5.0,
                    "score_rounded": 5.0,
                    "text": null
                },
                {
                    "category": "image",
                    "score": 4.0,
                    "score_rounded": 4.0,
                    "text": null
                },
                {
                    "category": "workLife",
                    "score": 5.0,
                    "score_rounded": 5.0,
                    "text": null
                },
                {
                    "category": "career",
                    "score": 4.0,
                    "score_rounded": 4.0,
                    "text": null
                },
                {
                    "category": "salary",
                    "score": 5.0,
                    "score_rounded": 5.0,
                    "text": null
                },
                {
                    "category": "environment",
                    "score": 3.0,
                    "score_rounded": 3.0,
                    "text": null
                },
                {
                    "category": "teamwork",
                    "score": 5.0,
                    "score_rounded": 5.0,
                    "text": null
                },
                {
                    "category": "oldColleagues",
                    "score": 4.0,
                    "score_rounded": 4.0,
                    "text": null
                },
                {
                    "category": "workConditions",
                    "score": 4.0,
                    "score_rounded": 4.0,
                    "text": null
                },
                {
                    "category": "communication",
                    "score": 3.0,
                    "score_rounded": 3.0,
                    "text": null
                },
                {
                    "category": "equality",
                    "score": 4.0,
                    "score_rounded": 4.0,
                    "text": null
                }
            ],
            "reactions": {
                "agree_count": 0,
                "helpful_count": 0
            },
            "pros": "Betriebsvereinbarung zum mobilen Arbeiten",
            "cons": "Luxus-Strategie",
            "suggestions": "Echte Teamarbeit fördern, die meisten Teams sind Gruppen von Einzelkämpfern<br/>Bei der Führungskräfte-Auswahl Sozialkompetenz stärker berücksichtigen",
            "company": "Mercedes-Benz Düsseldorf Werk65 Sprinter",
            "review_company_slug": "mercedes-benz-group",
            "department": "it",
            "location": "Düsseldorf",
            "response": null
        }
    ]
}

Salary Data JSON

Requires Company Name / Slug or Kununu URL Input

{
    "job_company_slug": "mercedes-benz-group",
    "job_id": 24326,
    "job_role": "Entwicklungsingenieur:in",
    "job_slug": "entwicklungsingenieur-in",
    "average_salary": 89100.0,
    "median_salary": 90000.0,
    "min_salary": 48000.0,
    "max_salary": 116500.0,
    "number_of_reports": 282
}

📍 Input

Parameter	Type	Default	Description
companies	array (string)	["https://www.kununu.com/de/mercedes-benz-group","sap","Bundesagentur für Arbeit"]	One or more company profile URLs or company slugs to scrape. Supports bulk input via multiple links or slugs.
reviewType	selection (string)	All	Review types to scrape. Options include All, Employee, or Candidate.
review_posted	string	1 year	Time range filter specifying how many days from today reviews should be retrieved.
max_reviews	string	10	Maximum number of reviews per review type per company. Supports up to 50,000 reviews per run.
max_salaries	string	20	Maximum number of salary reports per company to retrieve.
include_reviews	boolean	true	Includes review data in the output. If disabled, only company data and optionally salary data are returned.
include_salaries	boolean	true	Includes salary data in the output. If disabled, only company data and optionally review data are returned.
format	boolean	formatted	Output format selection. formatted is optimized for CSV/Excel/Sheets, while raw is better suited for programmatic processing.

Supported URL Formats

URL format	Supported
https://www.kununu.com/de/sap	✅
https://www.kununu.com/at/mercedes-benz-group	✅
https://www.kununu.com/ch/bmw	✅
https://www.kununu.com/sap	✅
https://kununu.com/de/mercedes-benz-group	✅
https://kununu.com/bmw	✅
https://www.kununu.com/de/sap/kommentare	✅
https://kununu.com/mercedes-benz-group/kommentare	✅
bmw	✅

🎛️ Advanced Options

• proxySettings: (Optional) (Object) Customize the proxy settings used by the scraper. For example Apify Residential proxies from the US can be used for stability and region-specific access. You can change the proxy group or country as needed.
  Default:
  

  { "useApifyProxy": true, "apifyProxyGroups": [   "RESIDENTIAL" ], "apifyProxyCountry": "DE" }

✏️ JSON Input

Sample JSON input if you use the apify api via CURL, Python, JS etc.

{
    "companies": [
        "https://www.kununu.com/sap",
        "https://www.kununu.com/de/bmw",
        "mercedes-benz-group"
    ],
    "include_salaries": true,
    "max_reviews": 100,
    "proxySettings": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    },
    "review_posted": "30 days"
}

🍪 Usage Limits

This service has different usage limits depending on your subscription status:

User Type	Companies per Run	Reviews per Company	Review History	Salaries per Company	Monthly Runs	Reset Period
Free	Max 3 companies	Latest 100 reviews	Last 365 days	First 20 salaries	25 run(s)	30 days
Paid	Unlimited	Up to 10,000 reviews	Last 10 years	Up to 10,000 salaries	Unlimited runs	N/A

How Limits Work

Free Users:

• Maximum 3 companies per run
• Latest 100 reviews per company (from last 365 days)
• First 20 salaries per company

Paid Users:

• Unlimited companies per run
• Up to 10,000 reviews per company (from last 10 years)
• Up to 10,000 salaries per company

Note: All users can scrape multiple companies in a single run (within their respective limits).

⚙️ While the scraper is running

During the run, the actor will output log messages letting you know what is going on at any point. Each message always contains specific information about the process including which url / page the actor is working on.

If you provide invalid inputs to the actor, it will immediately stop with a failure state and output log messages explaining what is wrong. If you are unsure what went wrong feel free to open up an issue in the issue tab.

🔗 Legality of web scraping

The Kununu Company Reviews & Salary Scraper is designed to ethically extract only publicly available reviews, salaries and company information, and it does not scrape private user data such as personal email addresses or personal identifiers.

Our services are ethical and do not extract any private user data. They only extract what individuals or companies chose to share publicly. We therefore believe that our services, when used for ethical purposes by our users, are safe to use. 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. For more information you can read this blog post on the legality of web scraping from Apify.

💬 Feedback and Support

Your satisfaction is important to us! Therefore we are constantly striving to enhance the performance of our Actors.

If you have any technical feedback or encounter any bugs with the Kununu Reviews Scraper, please create an issue in the Actor’s Issues tab on the Apify Console.

You can also contact us directly for custom integrations or project use cases at business@radeance.com.