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:

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

Example output (simplified for illustration):

[
  {
    "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!

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