Kununu Scraper: DACH Employer Reviews and Salaries
Extract employer reviews, scores, salary data, and benefits from kununu.com, the largest employer review platform in Germany, Austria, and Switzerland with 15 million+ reviews. Returns overall company score and rounded score (1 to 5), total review count, recommendation rate, industry, location, 14-factor score breakdown (salary, atmosphere, leadership, work-life balance, ...), 20+ benefit types with percentages, salary ranges per job title (min, max, median, average), Top Company badges by year, competitors and source URL. Pure DACH coverage. We extract only publicly visible profile data, no login bypass.
Detail price
$5/1k profiles
Sub-factors
14 per company
What you can scrape
- Identity: name, slug, logo_url, industry, location, source_url
- Overall scoring: score, rounded_score (1 to 5), total_reviews, recommendation_rate
- Score breakdown: 14 sub-factors covering salary, atmosphere, leadership, work-life balance, environment, communication, equality, support and more
- Benefits: 20+ benefit types with the percentage of reviewers reporting each
- Salary ranges: per job title with min, max, median, average
- Trust signals: Top Company badges by year, competitors with comparable scores
Primary use cases
- Recruiter intel. Benchmark a target company's sub-factor scores against industry medians before approaching candidates
- Employer brand sentiment. Track score and review-count drift over time to catch reputational issues early
- Salary benchmarking. Pull median and range per job title across competitors for compensation reviews
- Acquisition due diligence. Pull employee sentiment data on M&A targets in the DACH region
- HR market intelligence. Track which benefits are spreading per industry in Germany, Austria, and Switzerland
API example
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~kununu-de-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"searchQuery": "SAP",
"country": "de",
"maxResults": 50
}'
Integrations
- n8n, Make, Zapier: trigger runs and process employer records via webhook
- AI Agents (MCP): Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
- Python, Node.js: Apify SDK for programmatic access
- Google Sheets, Airtable, HubSpot, Greenhouse: push employer intel into ATS or CRM
Output fields
| Field | Type | Example |
|---|
| name | string | SAP SE |
| slug | string | sap |
| score | float | 3.9 |
| total_reviews | integer | 4827 |
| recommendation_rate | integer | 78 |
| industry | string | IT / Software |
| location | string | Walldorf, Deutschland |
| score_breakdown | object | {salary: 3.7, atmosphere: 4.0, leadership: 3.4, ...} |
| benefits | object[] | [{name: "Home Office", percentage: 87}, ...] |
| salary_ranges | object[] | [{job_title, min, max, median, average}] |
Notes and limits
- Public data only. Kununu has anti-scraping ToS language. We extract only publicly visible profile data, no login bypass, no private review fetching
- DACH only. Country must be one of
de, at, or ch. Each Kununu market has separate slugs (e.g. sap, sap-oesterreich, sap-schweiz12)
- SERP vs full profile. SERP returns the lightweight company list. Set the detail mode to fetch the 14-factor breakdown, benefits, and salaries
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