# Kununu Reviews Scraper (`thescrappa/kununu-reviews-scraper`) Actor 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. - **URL**: https://apify.com/thescrappa/kununu-reviews-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Marketing, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.25 / 1,000 kununu review results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Kununu Reviews Scraper Extract Kununu company reviews through Scrappa. Use it for DACH employer reputation monitoring, HR competitor analysis, candidate-experience research, and company-rating datasets. This Actor is a thin wrapper: Apify validates input, calls `https://scrappa.co/api/kununu/reviews`, and writes one dataset item per Kununu review. Scraping runs on Scrappa infrastructure. ### 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 ```json { "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: ```json { "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. # Actor input Schema ## `targets` (type: `array`): Kununu company slugs, country/slug pairs, or full Kununu company URLs. Up to 25 companies per run. ## `company_slug` (type: `string`): Single Kununu company slug for compatibility. Ignored when Companies is provided. ## `country` (type: `string`): Kununu country for bare slugs. Kununu supports Germany, Austria, and Switzerland. ## `page` (type: `integer`): First Kununu review page to fetch. ## `max_pages` (type: `integer`): Number of pages to fetch per company target. ## `review_type` (type: `string`): Employee reviews or candidate interview reviews. ## `sort` (type: `string`): Optional Kununu sort order. Leave empty for Kununu relevance order. ## `score_filters` (type: `array`): Filter by Kununu score buckets. ## `recommended_filters` (type: `array`): Filter by recommendation status. ## `jobstatus_filters` (type: `array`): Filter employee reviews by current or former employees. ## `position_filters` (type: `array`): Filter by reviewer position. ## `department_filters` (type: `array`): Filter by department. ## `response_filters` (type: `array`): Filter by whether the company responded. ## `date_filters` (type: `array`): Filter by review age. ## `fetch_factor_scores` (type: `boolean`): Include detailed factor ratings when Kununu provides them. ## `include_raw_review` (type: `boolean`): Include the full Scrappa review object in each dataset item. Leave disabled for smaller, cheaper dataset output. ## `include_raw_responses` (type: `boolean`): Include full per-page Scrappa responses in the OUTPUT key-value-store record. Leave disabled for large batch runs. ## Actor input object example ```json { "targets": [ "de/bmwgroup", "https://www.kununu.com/de/sap-se" ], "company_slug": "bmwgroup", "country": "de", "page": 1, "max_pages": 1, "review_type": "employees", "fetch_factor_scores": false, "include_raw_review": false, "include_raw_responses": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "targets": [ "de/bmwgroup", "https://www.kununu.com/de/sap-se" ], "company_slug": "bmwgroup" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/kununu-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "targets": [ "de/bmwgroup", "https://www.kununu.com/de/sap-se", ], "company_slug": "bmwgroup", } # Run the Actor and wait for it to finish run = client.actor("thescrappa/kununu-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "targets": [ "de/bmwgroup", "https://www.kununu.com/de/sap-se" ], "company_slug": "bmwgroup" }' | apify call thescrappa/kununu-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/kununu-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kununu Reviews Scraper", "description": "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.", "version": "1.0", "x-build-id": "X58Z6Wcfd9fMtH2E4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~kununu-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-kununu-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thescrappa~kununu-reviews-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-kununu-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thescrappa~kununu-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-kununu-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "targets": { "title": "Companies", "maxItems": 25, "type": "array", "description": "Kununu company slugs, country/slug pairs, or full Kununu company URLs. Up to 25 companies per run.", "items": { "type": "string", "minLength": 1, "maxLength": 500 } }, "company_slug": { "title": "Single Company Slug", "maxLength": 255, "type": "string", "description": "Single Kununu company slug for compatibility. Ignored when Companies is provided." }, "country": { "title": "Default Country", "enum": [ "de", "at", "ch" ], "type": "string", "description": "Kununu country for bare slugs. Kununu supports Germany, Austria, and Switzerland.", "default": "de" }, "page": { "title": "Start Page", "minimum": 1, "maximum": 100, "type": "integer", "description": "First Kununu review page to fetch.", "default": 1 }, "max_pages": { "title": "Max Pages", "minimum": 1, "maximum": 25, "type": "integer", "description": "Number of pages to fetch per company target.", "default": 1 }, "review_type": { "title": "Review Type", "enum": [ "employees", "candidates" ], "type": "string", "description": "Employee reviews or candidate interview reviews.", "default": "employees" }, "sort": { "title": "Sort", "enum": [ "newest", "oldest", "best", "worst" ], "type": "string", "description": "Optional Kununu sort order. Leave empty for Kununu relevance order." }, "score_filters": { "title": "Score Filters", "type": "array", "description": "Filter by Kununu score buckets.", "items": { "type": "string", "enum": [ "excellent", "good", "satisfactory", "subpar" ] } }, "recommended_filters": { "title": "Recommended Filters", "type": "array", "description": "Filter by recommendation status.", "items": { "type": "string", "enum": [ "yes", "no" ] } }, "jobstatus_filters": { "title": "Job Status Filters", "type": "array", "description": "Filter employee reviews by current or former employees.", "items": { "type": "string", "enum": [ "current", "former" ] } }, "position_filters": { "title": "Position Filters", "type": "array", "description": "Filter by reviewer position.", "items": { "type": "string", "enum": [ "employee", "manager", "apprentice", "student", "intern", "freelancer", "contractor" ] } }, "department_filters": { "title": "Department Filters", "type": "array", "description": "Filter by department.", "items": { "type": "string", "enum": [ "administration", "sales", "legal", "operations", "recruiting", "communication", "product", "logistic", "it", "management", "research", "controlling", "design", "procurement" ] } }, "response_filters": { "title": "Response Filters", "type": "array", "description": "Filter by whether the company responded.", "items": { "type": "string", "enum": [ "yes", "no" ] } }, "date_filters": { "title": "Date Filters", "type": "array", "description": "Filter by review age.", "items": { "type": "string", "enum": [ "24months", "12months", "6months", "30days" ] } }, "fetch_factor_scores": { "title": "Fetch Factor Scores", "type": "boolean", "description": "Include detailed factor ratings when Kununu provides them.", "default": false }, "include_raw_review": { "title": "Include Raw Review", "type": "boolean", "description": "Include the full Scrappa review object in each dataset item. Leave disabled for smaller, cheaper dataset output.", "default": false }, "include_raw_responses": { "title": "Include Raw Page Responses", "type": "boolean", "description": "Include full per-page Scrappa responses in the OUTPUT key-value-store record. Leave disabled for large batch runs.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```