Pchometw Pharser Spider

Pchometw Pharser Spider The Pchometw Pharser Spider is an Apify Actor designed to scrape detailed product review data from PChome 24h (24h.pchome.com.tw). It extracts review details like ratings, review text, product info, and metadata from provided URLs, perfect for market research and sentiment analysis. ## Input Parameters The Actor requires a JSON input with the following parameters: | Parameter | Type | Description | Required | |-----------|--------|-----------------------------------------------|----------| | Urls | Array | List of PChome 24h product URLs to scrape | Yes | Example Input: json { "Urls": [ "https://24h.pchome.com.tw/prod/DBABDG-1900C2VMQ/" ] } ## Features - Comprehensive Review Scraping: Captures product IDs, review IDs, ratings, review text, and metadata like date and brand. - Multilingual Support: Includes translated fields for reviews in multiple languages. - Structured JSON Output: Provides clean, organized data for easy integration. - Fast and Reliable: Efficiently processes pages with robust error handling. - Batch Processing: Supports multiple URLs for scalable review collection. ## Output The Actor outputs an array of objects containing the scraped review details. Below is an example output: json [ { "Product_Id": "DBABDG-1900C2VMQ", "Review_Id": "b9d72ad39a4e00ef1da04026cd8c2b18", "Rating": 5, "Title": "每朝健康綠茶650ml(24入/箱)", "Body": "出貨很快", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "PChome", "Full_Review": "每朝健康綠茶650ml(24入/箱): 出貨很快", "Review_Type": "Product Review", "Title_Trans": "每朝健康綠茶650ml(24入/箱)", "Body_Trans": "出貨很快", "Full_Review_Trans": "每朝健康綠茶650ml(24入/箱): 出貨很快", "Product_Name_Trans": "每朝健康綠茶650ml(24入/箱)", "Product_Segment": null, "Gender": "Unisex", "Product_Segment2": null, "Year_Quarter": "2025-Q3", "Sub_Brand": "源興行銷股份有限公司", "Format": null, "Country": "Taiwan", "Date": "07-04-2025", "Product_Name": "每朝健康綠茶650ml(24入/箱)", "Brand": "源興行銷股份有限公司", "URL": "https://24h.pchome.com.tw/prod/DBABDG-1900C2VMQ/", "Crawled_Date": "07-08-2025" } ] ## Use Cases - Sentiment Analysis: Evaluate customer feedback to gauge product satisfaction. - Market Research: Collect review data to analyze consumer trends and preferences. - Quality Monitoring: Identify issues like shipping or product quality from reviews. - Competitor Analysis: Compare review sentiments across similar products on PChome. - Data Integration: Feed structured review data into analytics or CRM systems. ## Support For bug reports or custom needs, contact support@getdataforme.com or use our contact form: https://getdataforme.com/contact/. Please include a clear subject line in your message, such as "Pchometw Pharser Spider Support."