Description

Extract structured product reviews from Momoshop.tw, Taiwan's top e-commerce site, including ratings, text, and metadata. Perfect for market analysis, competitive intelligence, and sentiment insights. Features reliable multi-URL scraping, fast performance, and JSON output for seamless integration.

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Momoshoptw Review Parser Spider

The Momoshoptw Review Parser Spider is a powerful Apify Actor designed to scrape and extract product reviews from Momoshop.tw, Taiwan's leading e-commerce platform. It provides structured, high-quality data including ratings, review text, and metadata, enabling businesses and researchers to gain insights into customer sentiment and product performance. This tool simplifies data collection for market analysis, competitive intelligence, and decision-making processes.

Features

• Comprehensive Review Extraction: Scrapes detailed product reviews, including ratings, titles, bodies, and timestamps from Momoshop.tw product pages.
• Structured Output: Delivers clean, JSON-formatted data with fields like Product_Id, Review_Id, Rating, and translations for easy integration into analytics tools.
• Multi-Product Support: Handles multiple URLs in a single run, allowing batch processing of various products efficiently.
• High Reliability: Built with robust error handling to ensure consistent data extraction even from dynamic web pages.
• Fast Performance: Optimized for speed, processing reviews quickly while respecting website limits to avoid disruptions.
• Sentiment-Ready Data: Includes fields for sentiment analysis, making it ideal for advanced NLP applications.
• Taiwan-Focused: Tailored for Momoshop.tw, capturing localized reviews and metadata specific to the Taiwanese market.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to Momoshop.tw product detail pages to scrape reviews from. Each URL must be a valid HTTP or HTTPS link.	["https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602"]

Example Usage

To run the Actor, provide the input parameters in JSON format:

{
  "Urls": [
    "https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602"
  ]
}

Example output (JSON array of review objects):

[
  {
    "Product_Id": "10865602",
    "Review_Id": "251211834392980",
    "Rating": "3.5",
    "Title": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Body": "可能這批品質都是如此，手把粗糙沒處理，內鍋也比較粗糙一點。雖然這價格cp值很高，但還是不想委屈自己勉強收下。希望品管能加強，不然退換貨也煩的很麻煩，對顧客和廠商都是。🤔",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Momoshop",
    "Full_Review": "可能這批品質都是如此，手把粗糙沒處理，內鍋也比較粗糙一點。雖然這價格cp值很高，但還是不想委屈自己勉強收下。希望品管能加強，不然退換貨也煩的很麻煩，對顧客和廠商都是。🤔",
    "Review_Type": "Product Review",
    "Title_Trans": null,
    "Body_Trans": "可能這批品質都是如此，手把粗糙沒處理，內鍋也比較粗糙一點。雖然這價格cp值很高，但還是不想委屈自己勉強收下。希望品管能加強，不然退換貨也煩的很麻煩，對顧客和廠商都是。🤔",
    "Full_Review_Trans": "可能這批品質都是如此，手把粗糙沒處理，內鍋也比較粗糙一點。雖然這價格cp值很高，但還是不想委屈自己勉強收下。希望品管能加強，不然退換貨也煩的很麻煩，對顧客和廠商都是。🤔",
    "Product_Name_Trans": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Product_Segment": null,
    "Gender": "Unisex",
    "Product_Segment2": null,
    "Year_Quarter": "2025-Q4",
    "Sub_Brand": null,
    "Format": null,
    "Country": "Taiwan",
    "Date": "12-20-2025",
    "Product_Name": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Brand": null,
    "URL": "https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602",
    "Crawled_Date": "04-20-2026",
    "actor_id": "o0N9m3CarZTDLYlxc",
    "run_id": "AIYVe5UgNBSTHe5Oq"
  },
  {
    "Product_Id": "10865602",
    "Review_Id": "251212824273663",
    "Rating": "5",
    "Title": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Body": "包裝外盒四周與產品完全服貼沒有空隙，很難拿出來上方完全沒有緩衝包材，總之這樣的包裝很不放心",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Momoshop",
    "Full_Review": "包裝外盒四周與產品完全服貼沒有空隙，很難拿出來上方完全沒有緩衝包材，總之這樣的包裝很不放心",
    "Review_Type": "Product Review",
    "Title_Trans": null,
    "Body_Trans": "包裝外盒四周與產品完全服貼沒有空隙，很難拿出來上方完全沒有緩衝包材，總之這樣的包裝很不放心",
    "Full_Review_Trans": "包裝外盒四周與產品完全服貼沒有空隙，很難拿出來上方完全沒有緩衝包材，總之這樣的包裝很不放心",
    "Product_Name_Trans": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Product_Segment": null,
    "Gender": "Unisex",
    "Product_Segment2": null,
    "Year_Quarter": "2025-Q4",
    "Sub_Brand": null,
    "Format": null,
    "Country": "Taiwan",
    "Date": "12-17-2025",
    "Product_Name": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Brand": null,
    "URL": "https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602",
    "Crawled_Date": "04-20-2026",
    "actor_id": "o0N9m3CarZTDLYlxc",
    "run_id": "AIYVe5UgNBSTHe5Oq"
  },
  {
    "Product_Id": "10865602",
    "Review_Id": "251212885288675",
    "Rating": "5",
    "Title": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Body": "送貨速度快,鍋況還不錯~~",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Momoshop",
    "Full_Review": "送貨速度快,鍋況還不錯~~",
    "Review_Type": "Product Review",
    "Title_Trans": null,
    "Body_Trans": "送貨速度快,鍋況還不錯~~",
    "Full_Review_Trans": "送貨速度快,鍋況還不錯~~",
    "Product_Name_Trans": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Product_Segment": null,
    "Gender": "Unisex",
    "Product_Segment2": null,
    "Year_Quarter": "2025-Q4",
    "Sub_Brand": null,
    "Format": null,
    "Country": "Taiwan",
    "Date": "12-13-2025",
    "Product_Name": "momo購物網 會員中心 - 好評推薦 - 2026年4月",
    "Brand": null,
    "URL": "https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602",
    "Crawled_Date": "04-20-2026",
    "actor_id": "o0N9m3CarZTDLYlxc",
    "run_id": "AIYVe5UgNBSTHe5Oq"
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends, preferences, and pain points in Taiwanese e-commerce.
• Competitive Intelligence: Compare product reviews across competitors to benchmark performance and pricing strategies.
• Price Monitoring: Track review sentiments alongside pricing data to optimize dynamic pricing models.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or social media insights.
• Academic Research: Gather data for studies on consumer behavior, sentiment analysis, and e-commerce trends in Asia.
• Business Automation: Integrate review data into dashboards for automated reporting on product quality and customer satisfaction.

Installation and Usage

1. Search for "Momoshoptw Review Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., provide URLs).
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 a JSON array of objects, each representing a single product review. Key fields include:

• Product_Id: Unique identifier for the product.
• Review_Id: Unique identifier for the review.
• Rating: Numerical rating (e.g., "3.5" or "5").
• Title/Body/Full_Review: Review content in original and translated forms (if available).
• Date/Crawled_Date: Review date and scraping timestamp.
• Source/Country: Metadata like "Momoshop" and "Taiwan".
• Other fields like Sentiment, Gender, and URL provide additional context for analysis.

Note: Some fields (e.g., Sentiment, Higher_Topic) may be null if not applicable or processed.

Error Handling

The Actor includes built-in error handling for common issues like invalid URLs, network timeouts, or page changes. If a URL fails, it logs the error and continues with others. For persistent issues, check the run logs and ensure URLs are correct.

Rate Limiting and Best Practices

• Rate Limiting: Respects Momoshop.tw's policies; runs at a moderate pace to avoid bans.
• Best Practices: Limit to 10-20 URLs per run for optimal performance. Use valid HTTPS URLs only. Schedule runs during off-peak hours to minimize impact.

Limitations and Considerations

• Only scrapes reviews from Momoshop.tw product pages; not suitable for other sites.
• Output may include untranslated text if reviews are in Chinese.
• Large volumes of reviews per product may require multiple runs or pagination handling (not currently supported).
• Ensure compliance with Momoshop.tw's terms of service and local data privacy laws.

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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