# Kununu Parser Spider (`getdataforme/kununu-parser-spider`) Actor

Extract and analyze employee reviews from Kununu.com with this powerful Apify Actor. It scrapes detailed ratings, pros/cons, and metadata from specified company pages, ensuring high accuracy and scalability....

- **URL**: https://apify.com/getdataforme/kununu-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Agents, E-commerce
- **Stats:** 11 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Parser Spider

The Kununu Parser Spider is an Apify Actor designed to scrape and extract company reviews from Kununu.com, a popular platform for employee feedback in Germany. It efficiently collects detailed review data, including ratings, comments, and metadata, enabling users to gather insights into company culture and reputation. This tool is invaluable for businesses, researchers, and analysts seeking reliable data for decision-making.

### Features

- **Comprehensive Review Extraction**: Scrapes full review details such as ratings, pros/cons, and employee experiences from specified Kununu URLs.
- **High Accuracy and Reliability**: Utilizes robust parsing to ensure data integrity, minimizing errors in extracted information.
- **Scalable Performance**: Handles multiple URLs efficiently, with built-in concurrency for faster processing of large datasets.
- **Flexible Input Configuration**: Accepts a list of URLs, allowing targeted scraping of specific company review pages.
- **Structured Output**: Delivers clean, JSON-formatted data ready for analysis, export, or integration with other tools.
- **Error-Resilient**: Includes retry mechanisms and logging to manage network issues or site changes gracefully.
- **Apify Integration**: Seamlessly runs on the Apify platform, supporting cloud execution and result storage.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Urls | array | Yes | A list of URLs pointing to Kununu company review pages to scrape. Each URL must be a valid HTTP/HTTPS link. | \["https://www.kununu.com/de/malteser-deutschland-ggmbh/kommentare", "https://www.kununu.com/de/siemens-ag/kommentare"] |

### Example Usage

To run the actor, provide input in JSON format. Here's an example:

```json
{
  "Urls": [
    "https://www.kununu.com/de/malteser-deutschland-ggmbh/kommentare"
  ]
}
```

Example output (simplified for illustration):

```json
[
  {
    "company": "Malteser Deutschland gGmbH",
    "reviewer": "Anonymous",
    "rating": 4.5,
    "title": "Great work environment",
    "pros": "Flexible hours, supportive team",
    "cons": "Sometimes high workload",
    "recommendation": "Yes",
    "date": "2023-10-15",
    "url": "https://www.kununu.com/de/malteser-deutschland-ggmbh/kommentare/12345"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather employee feedback to assess industry trends and company performance.
- **Competitive Intelligence**: Compare reviews across competitors to identify strengths and weaknesses.
- **Reputation Monitoring**: Track company sentiment over time for brand management.
- **Content Aggregation**: Collect reviews for content creation, such as blog posts or reports.
- **Academic Research**: Analyze employee experiences for studies on workplace satisfaction.
- **Business Automation**: Automate data collection for HR dashboards or decision-support systems.

### Installation and Usage

1. Search for "Kununu Parser Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

### Output Format

The actor outputs an array of JSON objects, each representing a single review. Key fields include:

- `company`: Name of the reviewed company.
- `reviewer`: Identifier of the reviewer (often anonymous).
- `rating`: Numerical rating (e.g., 1-5 scale).
- `title`: Review headline.
- `pros` and `cons`: Positive and negative aspects mentioned.
- `recommendation`: Whether the reviewer recommends the company.
- `date`: Date of the review.
- `url`: Link to the original review page.

Data is structured for easy parsing and integration.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

***

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## Actor input object example

```json
{
  "Urls": [
    "https://www.kununu.com/de/malteser-deutschland-ggmbh/kommentare"
  ]
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/kununu-parser-spider").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/kununu-parser-spider").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call getdataforme/kununu-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/kununu-parser-spider"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9KKpYUGCXFJjTIEMj/builds/PW53KcwElLSh4tm29/openapi.json