Pricing

$0.25 / 1,000 kununu review results

Kununu Reviews Scraper

Scrape Kununu company reviews by company slug or URL. Supports batch companies in one run and saves each employee or candidate review as one charged dataset item.

Pricing

$0.25 / 1,000 kununu review results

Rating

0.0

(0)

Developer

Scrappa

Actor stats

Bookmarked

Total users

Monthly active users

11 hours ago

Last modified

Features

Batch targets so one Apify run can process multiple Kununu companies
Accepts Kununu slugs, country/slug pairs, and full Kununu company URLs
Employee and candidate review modes
Review scores, title, text blocks, dates, and reviewer role metadata
Filters for score, recommendation, job status, position, department, response status, date, and factor scores
Dataset rows optimized for Apify table views
One paid review-result event per saved review

Input

Field	Type	Required	Description
`targets`	array	No	Kununu company slugs, `de/bmwgroup` pairs, or full Kununu URLs. Up to 25 companies per run.
`company_slug`	string	No	Single company slug for compatibility when `targets` is not provided.
`country`	string	No	Default country for bare slugs: `de`, `at`, or `ch`. Default `de`.
`page`	integer	No	First review page to fetch. Default `1`.
`max_pages`	integer	No	Pages to fetch per company target. Default `1`, max `25`.
`review_type`	string	No	`employees` or `candidates`. Default `employees`.
`sort`	string	No	`newest`, `oldest`, `best`, or `worst`. Empty uses Kununu relevance order.
`score_filters`	array	No	`excellent`, `good`, `satisfactory`, `subpar`.
`recommended_filters`	array	No	`yes` or `no`.
`jobstatus_filters`	array	No	`current` or `former`.
`position_filters`	array	No	Reviewer position filters.
`department_filters`	array	No	Department filters.
`response_filters`	array	No	`yes` or `no` company-response filter.
`date_filters`	array	No	`24months`, `12months`, `6months`, or `30days`.
`fetch_factor_scores`	boolean	No	Include detailed rating factors when available.
`include_raw_review`	boolean	No	Include the full raw review object in each dataset item. Default `false`.
`include_raw_responses`	boolean	No	Include full per-page Scrappa responses in `OUTPUT`. Default `false`.

Example Input

{
  "targets": [
    "de/bmwgroup",
    "https://www.kununu.com/de/sap-se"
  ],
  "page": 1,
  "max_pages": 2,
  "review_type": "employees",
  "sort": "newest",
  "score_filters": ["excellent", "good"],
  "fetch_factor_scores": true,
  "include_raw_review": false,
  "include_raw_responses": false
}

Output

Each Kununu review is saved as one dataset item:

{
  "review_id": "example-review-id",
  "company_target": "de/bmwgroup",
  "company_country": "de",
  "company_slug": "bmwgroup",
  "company_name": "BMW Group",
  "rating": 4.2,
  "rounded_rating": 4,
  "title": "Good employer",
  "text": "Pros and cons from the review text blocks.",
  "date": "2026-05-01T12:30:00.000Z",
  "review_type": "employees",
  "reviewer_position": "employee",
  "reviewer_department": "it",
  "reviewer_employment_status": "current",
  "reviewer_recommended": true,
  "page": 1,
  "source_url": "https://www.kununu.com/de/bmwgroup"
}

The default dataset stays compact and flattened for Apify table/export usage. Enable include_raw_review only when you need full per-review details such as raw rating factors or company responses.

The OUTPUT key-value-store record includes target/page metadata and per-page summaries. Enable include_raw_responses only when you need full Scrappa page payloads for debugging.

Notes

Kununu operates in Germany, Austria, and Switzerland. For higher-volume review monitoring or direct API access, use Scrappa at https://scrappa.co.

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