Sales researchers
DACH account lists
Favorable to scraping
Export Kununu companies to CSV, then filter by employer rating, review volume, location, and industry signals before manual account qualification.
Directories$50Free
Kununu Lead Scraper for CSV Export
This Kununu lead scraper exports public Kununu company profile pages into a structured CSV for employer research, sales prospecting, recruiting market analysis, and DACH company list review. Import the workflow into the UScraper local desktop app, add approved company profile URLs, and collect company name, claimed status, location, industry text, rating, review count, source URL, and progress marker without building a custom browser automation from scratch.
Output
CSV
Fields
8
Inputs
Multi-URL
Challenge
Manual window
Template
Free
At a glance
Export Kununu companies to CSV
The workflow targets company profile URLs such as /de/deutsche-post, /de/deutschebahn, and /de/lidl-deutschland. Replace those examples in the Navigate block with the employer pages you are allowed to review, then let Loop Continue move through the list one profile at a time.
UScraper follows a conservative automation path: Navigate -> wait -> short render pause -> body check -> challenge branch -> Structured Export -> Loop Continue. If Kununu shows a "confirm you are human" page, the workflow gives you a finite manual-solve window, refreshes once, checks again, and ends safely if the challenge remains. That prevents the CSV from filling with CAPTCHA text.
Employer lead fields
Export company name, active or claimed indicator, location, industry text, customer rating, review count, profile URL, and a progress marker for auditability.
Multi-profile workflow
Add or replace company URLs in one Navigate block and keep the append-mode CSV as a running list of reviewed employer profiles.
Local desktop execution
The browser automation and CSV write happen in your desktop workflow. The stock template does not send rows to a hosted scraper or external database.
Challenge-aware branching
Human-check detection routes the run into a manual wait and recheck path instead of pretending a blocked page is a valid company result.
Who this is for
Use cases for Kununu company profile data
Recruiting teams
Employer benchmarking
Favorable to scraping
Compare visible Kununu ratings and review counts across target employers, competitors, or regional talent markets.
Market analysts
Company monitoring
Nuanced outcome
Use the Kununu company profile scraper output as a periodic snapshot, then validate changes against the live profile before publishing analysis.
For adjacent research, pair this workflow with the WLW.de Lead Scraper, LinkedIn Company Profile Scraper, and Trustpilot Reviews Scraper. Browse the UScraper template library when you need search, directory, or review-platform extractors around the same company list.
How to use
Configure the Kununu scraper workflow
2
Add company profile URLs
Open the Navigate block and replace the three sample Kununu URLs with approved employer profile pages. Keep the first run small so you can inspect the export.
3
Keep waits and challenge checks
The template waits for the page body, pauses for dynamic content, checks for a human challenge, and gives a manual-solve window before it attempts export.
4
Confirm the export path
Structured Export writes kununucom-leads-scraper.csv with headers and append mode. Clear the previous CSV before rerunning if you want a fresh file.
5
Run and review rows
Start the loop, open the CSV, spot-check a few profile URLs, and adjust input lists or pacing before expanding the batch.
Output preview
CSV fields produced by the Kununu data extractor
No bundle CSV sample was provided, so the rows below are illustrative. They mirror the workflow's Structured Export columns and the public company-profile fields the template is designed to capture.
| unternehmen_name | ob_aktiv | standort | branche | kundenbewertung | anzahl_der_bewertungen | unternehmen_url | progress |
|---|---|---|---|---|---|---|---|
| Deutsche Post | √ | Bonn | Transport/Logistik | 3,6 | 9.842 Bewertungen | https://www.kununu.com/de/deutsche-post | profile_url: https://www.kununu.com/de/deutsche-post |
| Deutsche Bahn | √ | Berlin | Transport/Verkehr | 3,5 | 7.219 Bewertungen | https://www.kununu.com/de/deutschebahn | profile_url: https://www.kununu.com/de/deutschebahn |
| Lidl Deutschland | √ | Neckarsulm | Handel | 3,4 | 12.105 Bewertungen | https://www.kununu.com/de/lidl-deutschland | profile_url: https://www.kununu.com/de/lidl-deutschland |
kununucom-leads-scraper.csvColumn
unternehmen_name
Company name from the page heading, with employer suffixes cleaned when possible.
Column
ob_aktiv
Claimed, active, or employer-active signal when visible in page text.
Column
standort
Headquarters or location parsed from structured data, page modules, or label text.
Column
branche
Industry or category text from structured data or visible company profile sections.
Column
kundenbewertung
Visible score or rating value normalized for CSV review.
Column
anzahl_der_bewertungen
Visible count of reviews or Bewertungen near the profile score.
Column
unternehmen_url
Canonicalized current profile URL without tracking query parameters.
Column
progress
Source marker that makes every exported row traceable to its input profile URL.
Headers included - each configured Kununu company URL appends one row when profile fields are available
Frequently asked questions
Kununu profile data may be publicly visible, but automated collection can still be limited by Kununu terms, robots guidance, database rights, privacy law, and local regulations. Use modest pacing, avoid private or login-only data, and get legal review before commercial reuse.
Before you run
Limits and maintenance notes
Keep these Kununu constraints visible
Pacing
Avoid aggressive repeated runs
Keep the wait blocks in place, run small batches, and pause when pages slow down or human-check screens appear. Do not add parallel loops against the same source without a compliance review.
Layout
Profile markup can change
Missing names, blank ratings, or empty industry fields usually mean Kununu changed a page module, hid a value, or returned a challenge page. Re-test a small batch before updating selectors.
Policy
Review source rules before reuse
Read Kununu terms, robots guidance, and privacy notices before redistribution, resale, model training, or automated outreach. Keep a documented compliance decision for commercial datasets.
Install the desktop app from UScraper download, import the hosted template JSON, and use this workflow when you need to export Kununu companies into a structured local CSV for review.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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