🎯 Capterra Reviews Scraper: Professional Review Extraction Tool Capterra Reviews Scraper is a powerful tool designed to extract detailed reviews from Capterra product pages. It efficiently collects comprehensive review data including reviewer information, ratings, pros, cons, and verification status. Whether you're conducting market research, monitoring product feedback, or analyzing customer sentiment, this actor provides reliable and structured data from Capterra's extensive review database. ## ✨ Key Features - Extracts detailed review information including reviewer name, job title, and company info - Captures ratings, review dates, and LinkedIn verification status - Collects pros and cons from each review - Supports parallel processing for faster data collection - Handles pagination automatically - Transforms URLs automatically to ensure reliable scraping ## 📊 Sample Output json { "reviewerName": "John Smith", "jobTitle": "Project Manager", "companyInfo": "Small Business (50 or fewer emp.)", "timeUsed": "Less than 6 months", "reviewTitle": "Great Product for Team Communication", "rating": 4.5, "reviewDate": "January 15, 2024", "comments": "The platform has been very useful for our team...", "pros": "Easy to use, great interface, reliable", "cons": "Could use more integrations", "isVerifiedLinkedIn": true, "sourceUrl": "https://www.capterra.in/reviews/123456/product-name" } ## 🔧 Input Configuration The actor accepts the following inputs: - Start URLs: URLs of Capterra product pages to scrape (format: https://www.capterra.com/p/[ID]/[PRODUCT-NAME]/reviews/) - Maximum Reviews: Limit the number of reviews to scrape (default: 25, set to null for unlimited) - Max Concurrency: Number of parallel pages to process (default: 20)