Kununu Parser Spider ## Introduction The Kununu Parser Spider is a powerful Apify Actor designed to scrape and extract company reviews from Kununu, a leading German platform for employee feedback and company ratings. It automates the collection of detailed review data, enabling users to gather insights into workplace experiences, salaries, and corporate culture. This tool is ideal for businesses, researchers, and analysts seeking reliable, structured data for decision-making and analysis. ## Features - Comprehensive Review Extraction: Scrapes full review details including ratings, comments, job titles, and timestamps from specified Kununu URLs. - High Reliability: Built with robust error handling to ensure consistent data retrieval even from complex or dynamic pages. - Scalable Performance: Handles multiple URLs efficiently, supporting batch processing for large-scale data collection. - Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports. - Customizable Inputs: Allows users to specify target URLs for targeted scraping, with support for multiple pages. - No Coding Required: User-friendly interface on Apify Store for quick setup and execution without technical expertise. - Data Privacy Compliant: Adheres to web scraping best practices, respecting robots.txt and avoiding sensitive data extraction. ## Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|---------| | Urls | array | No | An array of URLs pointing to Kununu company review pages to scrape. Must be valid HTTP/HTTPS URLs. | ["https://www.kununu.com/de/malteser-deutschland-ggmbh/kommentare"] | ## Example Usage ### Input JSON json { "Urls": [ "https://www.kununu.com/de/malteser-deutschland-ggmbh/kommentare" ] } ### Output JSON json [ { "company": "Malteser Deutschland gGmbH", "reviewer": "Anonymous", "rating": 4.5, "title": "Great work environment", "comment": "Excellent team and supportive management.", "job_title": "Nurse", "date": "2023-10-15", "pros": "Flexible hours, good benefits", "cons": "Sometimes high workload" } ] ## Use Cases - Market Research: Analyze employee sentiment across industries to identify trends in workplace satisfaction. - Competitive Intelligence: Compare company reviews to benchmark against competitors and inform hiring strategies. - HR Analytics: Gather feedback on company culture, salaries, and benefits to improve employee retention. - Academic Research: Collect data for studies on labor markets, corporate reputation, and employee well-being. - Business Automation: Automate monitoring of review trends for proactive reputation management. - Content Aggregation: Compile review data for reports, dashboards, or content creation in media and consulting. ## Installation and Usage 1. Search for "Kununu Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add URLs to scrape). 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 data in JSON format, with each item representing a single review. Key fields include: - company: Name of the reviewed company. - reviewer: Name or "Anonymous" if not provided. - rating: Numerical rating (e.g., 1-5 scale). - title: Review headline. - comment: Full review text. - job_title: Reviewer's position. - date: Date of the review. - pros and cons: Summarized positive and negative aspects. This structured format ensures 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!