Kununu Scraper API - Bewertungen, Gehälter & Benefits avatar

Kununu Scraper API - Bewertungen, Gehälter & Benefits

Pricing

from $2.72 / 1,000 results

Go to Apify Store
Kununu Scraper API - Bewertungen, Gehälter & Benefits

Kununu Scraper API - Bewertungen, Gehälter & Benefits

⭐ Scrape any company on Kununu by name or URL: employee and candidate reviews with 13 factor ratings and pros/cons texts, salary ranges per job title (min/median/max), or the full company profile with kununu score, benchmarks, recommendation rate and AI summary. DACH + US. Pay per result.

Pricing

from $2.72 / 1,000 results

Rating

0.0

(0)

Developer

Scrapifier

Scrapifier

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

1

Monthly active users

3 days ago

Last modified

Categories

Share

Research employers, benchmark salaries, or monitor employer brand with data from Kununu — the reference for employer reviews in the DACH region (Germany, Austria, Switzerland), with 5M+ reviews of 1M+ companies.

⚡ Scrape any company on Kununu by name or URL, in three modes: employee & candidate reviews (title, score, 13 factor ratings, pros/cons texts), salary ranges per job title (min / median / max / average with entry counts), or the full company profile — kununu score, factor breakdown, recommendation rate, industry benchmark, salary stats and Kununu's AI review summary. Pay per result.

The three modes

reviews — one row per review, employee + candidate tabs, the whole listing (verified: 274 of 274 for a 274-review company, from 2007 to today):

FieldExample
title, score, date"Solider Arbeitgeber", 3.6, 2026-10-06
ratings13 factor scores (atmosphere, salary, leadership…), each with optional text
positiveText / negativeText / suggestionTextthe reviewer's free-text pros, cons and suggestions
position, department, isFormerEmployee, formerSince, recommendedreviewer context
reviewKindemployees | candidates
hasEmployerResponseemployer replied

salaries — one row per job title's salary range:

FieldExample
jobTitleSoftwareentwickler:in
salaryMin / salaryMedian / salaryMax / salaryAverage43 400 / 71 000 / 109 700 / 72 900 (gross €/year)
salaryEntries359 data points

company — one row per company, the full intelligence block (also attached to every row of the other modes):

FieldExample
companyScore vs industryAverageScore3.7 vs 3.4 — instant benchmark
recommendationRate, totalReviews73 %, 14 109 reviews
factorScoresthe 13 kununu factor averages across ALL reviews
aiReviewSummaryKununu's AI summary of all reviews
salaryEntriesCount, highestPaidJobTitle, lowestPaidJobTitlesalary stats
isVerified, isClaimed, headquarters, firstReviewYear, reviewTransparencyprofile trust signals

Turn on Flatten rows for spreadsheet-ready columns (factor_teamwork, rating_salary…).

Inputs

FieldTypeDefaultMeaning
Company namescompanyNames["SAP"]Names as they appear on Kununu; resolved to the right profile automatically, across country sites.
Profile URLsstartUrls—Any Kununu profile URL: https://www.kununu.com/de/sap, .../at/spar/kommentare…
Modemodereviewsreviews | salaries | company.
Country sitecountrydeCountry path tried first for name resolution (de/at/ch/us); others are tried as fallback.
Candidate reviewsincludeCandidateReviewsonIn reviews mode, also scrape the application/interview reviews.
Maximum rowsmaxItems200Total row cap — the number of results you pay for. 0 = no limit.
Max reviews per companymaxReviewsPerCompany0Cap per company in reviews mode (0 = everything the site exposes).
Flatten rowsflattenoffFlat columns for CSV/Excel.
Input status reportemitInputStatusonOUTPUT reports what each input resolved to and why anything returned 0.
ProxyproxyConfigurationApify RESIDENTIALKeep the default residential proxy settings for reliable results.

Examples — all live-verified

1. A company's visible reviews, with full texts and factor ratings

{ "companyNames": ["SAP"], "mode": "reviews" }

2. Salary ranges for every job title at a company

{ "companyNames": ["SAP"], "mode": "salaries" }

3. Benchmark several employers at a glance

{ "companyNames": ["Deutsche Bahn", "Siemens", "Lidl"], "mode": "company" }

One intelligence row per company: score vs industry, recommendation rate, factor breakdown, salary stats, AI summary.

4. Austrian site, resolved by name

{ "companyNames": ["Red Bull"], "country": "at", "mode": "reviews" }

5. Spreadsheet export

{ "companyNames": ["SAP"], "mode": "reviews", "flatten": true, "maxItems": 20 }

Why this scraper

  • Three products in one — reviews, salaries and company intelligence, consistently shaped, each row carrying the company context block.
  • Complete, not just the first page — Kununu shows ten reviews per listing and asks visitors to sign up for the rest. This Actor never logs in: it walks the listing through every filter facet (year, score, status, position, department…) and every sort order, splitting until each subset fits a page, and deduplicates by review id — reaching every review the site exposes publicly. Very large companies (thousands of reviews) are bounded by a per-company request budget; use maxReviewsPerCompany to size runs.
  • Every input wired — names, URLs, modes, country fallback, candidate reviews: everything declared actually works.
  • Honest reporting — the input_status report in OUTPUT says what each input resolved to and why anything came back empty.

FAQ

Is this legal? The Actor reads only publicly displayed content — the same pages any visitor sees. Reviews are anonymous; no accounts are used, no login wall is bypassed. You are responsible for using the output in compliance with applicable laws and Kununu's terms.

A company returns 0 rows? Check input_status in the run's OUTPUT: it reports what the name resolved to (slug, country) and Kununu's own review total. Try the exact profile URL if a name is ambiguous.

What currency are salaries in? Kununu shows gross yearly salaries in the profile country's currency (EUR for de/at, CHF for ch, USD for us).

Why residential proxies? Kununu is strict with automated traffic; the default residential proxy settings give the most reliable results — keep them unless you run your own proxies.


Looking for more workforce data? See the rest of the family: Glassdoor Reviews, Glassdoor Salaries, Indeed Salaries, Levels.fyi Salaries, Indeed Reviews.