Kununu Reviews Scraper

Review kununu employer feedback with company ratings, review text and recommendation scores. Submit multiple company slugs in one run to retrieve records for each target.

What data can you extract?

Employer ratings and review details follow public kununu pages; a review may not include every field.

Field	Type	Description
company_name	text	Employer name attached to the customer or employee review, as shown by kununu; null when the listing does not identify its employer.
company_country	text	Company country shown for the customer or employee review by kununu, in the format used by the source; null when it is omitted.
company_slug	text	Company slug shown for the customer or employee review by kununu, in the format used by the source; null when it is omitted.
rating	number	Rating for this customer or employee review, on kununu’s employer rating scale; null when no score is shown.
rounded_rating	number	Rounded rating for this customer or employee review, on kununu’s employer rating scale; null when no score is shown.
title	text	Title of the customer or employee review, as shown by kununu; null when no title is published.
text	text	Text content from kununu for this customer or employee review; null when the source has no text to show.
date	date	Date shown for the customer or employee review shown by kununu, in YYYY-MM-DD when the source provides a calendar date; null if the source omits the date.
review_type	text	Review type shown for the customer or employee review by kununu; null when kununu does not provide the value.
reviewer_position	text	Reviewer job title shown for the customer or employee review by kununu, in the format used by the source; null when it is omitted.
reviewer_department	text	Reviewer department shown for the customer or employee review by kununu, in the format used by the source; null when it is omitted.
reviewer_employment_status	text	Reviewer employment status shown for the customer or employee review by kununu, in the format used by the source; null when it is omitted.
reviewer_recommended	boolean	Whether the reviewer recommends the employer; false is a reported value, while null means kununu provided no flag.
review_id	text	review ID for the customer or employee review, assigned by kununu; null when the source does not expose it.
page	number	Page in the kununu customer or employee review list, as a whole number; null when the source does not supply one.
source_url	link	Source page url for this customer or employee review on kununu; null when the source does not provide a URL.

Use cases

• Employer-brand teams can review public employee feedback and ratings for a company.
• Job seekers can compare review themes and recommendations across employers.
• Workforce researchers can track public workplace feedback over time.

How to use

1. Open the Actor’s Input tab and start with the JSON below.
2. Enter a company, shop, place or provider identifier and use the available sort, rating and page fields to focus the reviews.
3. Start the run and open its default dataset to inspect or download the rows.

{
  "targets": [
    "de/bmwgroup"
  ],
  "company_slug": "bmwgroup",
  "page": 1
}

The run dataset can be downloaded as JSON, CSV, Excel or another format offered by Apify.

Input

Field	Type	Required	Description
targets	array of string	No	Kununu company slugs, country/slug pairs, or full Kununu company URLs. Up to 25 companies per run. Constraints: maximum 25 items.
company_slug	string	No	Single Kununu company slug for compatibility. Ignored when Companies is provided.
country	string	No	Kununu country for bare slugs. Kununu supports Germany, Austria, and Switzerland. Constraints: allowed values: de, at, ch.
page	integer	No	First Kununu review page to fetch. Constraints: minimum 1; maximum 100.
max_pages	integer	No	Number of pages to fetch per company target. Constraints: minimum 1; maximum 25.
review_type	string	No	Employee reviews or candidate interview reviews. Constraints: allowed values: employees, candidates.
sort	string	No	Optional Kununu sort order. Leave empty for Kununu relevance order. Constraints: allowed values: newest, oldest, best, worst.
score_filters	array of string	No	Filter by Kununu score buckets.
recommended_filters	array of string	No	Filter by recommendation status.
jobstatus_filters	array of string	No	Filter employee reviews by current or former employees.
position_filters	array of string	No	Filter by reviewer position.
department_filters	array of string	No	Filter by department.
response_filters	array of string	No	Filter by whether the company responded.
date_filters	array of string	No	Filter by review age.
fetch_factor_scores	boolean	No	Include detailed factor ratings when Kununu provides them.
include_raw_review	boolean	No	Include the full Scrappa review object in each dataset item. Leave disabled for smaller, cheaper dataset output.
include_raw_responses	boolean	No	Include full per-page Scrappa responses in the OUTPUT key-value-store record. Leave disabled for large batch runs.

Output example

The record below is synthetic. Names and links are examples, and private contact fields are omitted.

{
  "title": "Helpful staff and a clear answer",
  "company_name": "Northstar Market Labs",
  "text": "The team answered my question clearly and kept me updated throughout the process.",
  "rating": 4.7,
  "date": "2026-09-25",
  "company_country": "Germany",
  "company_slug": "northstar-market-labs",
  "rounded_rating": 4.5
}

Pricing

Current live price: $0.25 per 1,000 results.

Each saved review counts as one result.

FAQ

Is it legal to collect public information?

This Actor is for information visible on the public source pages it reads. You are responsible for checking the source terms, privacy and copyright rules, and the laws that apply to your use.

How many records will a run return?

The result count depends on the input limits, pagination settings and what the source makes available. A small query or unavailable page can return fewer records, including none.

Can I call it through the API or connect it to other tools?

Yes. Send the same JSON input to POST https://api.apify.com/v2/acts/thescrappa~kununu-reviews-scraper/runs, then read the run’s default dataset. Make, Zapier and n8n can start runs and pass dataset rows to the next step; Google Sheets can receive rows through those workflows or a dataset export.

What happens when a request fails?

Check the run log for the source or input error, correct the input and retry after a temporary source issue. A run can contain rows saved before a later request failed.

Which kununu value should I submit?

Provide the targets value listed in the Input table, using the format shown there.

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