# Momoshoptw Review Parser Spider (`getdataforme/momoshoptw-review-parser-spider`) Actor 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. - **URL**: https://apify.com/getdataforme/momoshoptw-review-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### 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. --- ## 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: ```json { "Urls": [ "https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602" ] } ```` Example output (JSON array of review objects): ```json [ { "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! *** # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/momoshoptw-review-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/momoshoptw-review-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/momoshoptw-review-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/momoshoptw-review-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Momoshoptw Review Parser Spider", "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.", "version": "0.0", "x-build-id": "FZwDtoRmTGu2eqG8d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~momoshoptw-review-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-momoshoptw-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~momoshoptw-review-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-momoshoptw-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~momoshoptw-review-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-momoshoptw-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10865602" ], "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```