# momo 購物網爬蟲｜商品、價格、原價、即時庫存一鍵匯出（免 API） (`claude_code_reviewer/momo-scraper`) Actor 免登入抓 momo 購物網商品：關鍵字搜尋列表，含標題、價格、原價、即時庫存與圖片，輸出 JSON／CSV／Excel。支援批量關鍵字，電商比價、選品、庫存監控必備。 - **URL**: https://apify.com/claude\_code\_reviewer/momo-scraper.md - **Developed by:** [Chad](https://apify.com/claude_code_reviewer) (community) - **Categories:** E-commerce, Agents, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.00 / 1,000 搜尋商品 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 ## momo 購物網商品爬蟲｜搜尋、價格、精確庫存一鍵下載（免 API、免登入） 一個 Actor 幫你抓 momo 購物網的**關鍵字搜尋**結果：商品列表、目前售價、原價、折扣，以及 momo 站上少見會公開的**精確庫存數字**。不需要登入、不需要 API token，批量貼上上百個關鍵字也吃得下。全程走 momo 網頁內嵌的資料（非官方 API），不開瀏覽器，速度快、成本低。 給誰用的：做比價網站的、追蹤特定商品價格與庫存波動的、寫市場調查報告的、跑電商數據分析的、論文需要資料集的、自己寫 side project 的工程師。 --- ### 能抓到什麼 每一筆商品都會拿到下面這些欄位（缺值一律回 `null`，不會少欄位）： | 欄位 | 說明 | 範例 | v1.0 是否有值 | | ---------------- | -------------------------------------------------------------------- | ------------------------------------------------------------------- | --------------------------- | | `product_id` | momo 商品代碼（goodsCode） | `10101929` | ✅ | | `title` | 商品名稱 | `【Logitech 羅技】M331 靜音無線滑鼠` | ✅ | | `brand` | 品牌（從商品名稱【】中解析） | `Logitech 羅技` | ✅ | | `price` | 目前售價（NT$） | `590` | ✅ | | `original_price` | 原價（NT$） | `790` | ✅ | | `discount_pct` | 折扣百分比 | `25` | ✅ | | `category_path` | 分類路徑 | — | ❌ 一律 `null`（規劃 v1.1） | | `rating` | 評分（0-5） | — | ❌ 一律 `null`（規劃 v1.1） | | `review_count` | 評論數 | — | ❌ 一律 `null`（規劃 v1.1） | | `sold_count` | 累積銷量 | — | ❌ 一律 `null`（規劃 v1.1） | | `stock` | **即時精確庫存數量**（momo 差異化賣點，多數電商站只給「有貨/缺貨」） | `1040` | ✅ | | `promo` | 促銷文案陣列 | `[]` | ❌ 一律 `[]`（規劃 v1.1） | | `coupon` | 適用折價券 | — | ❌ 一律 `null`（規劃 v1.1） | | `image_urls` | 商品圖網址陣列 | `["https://img2.momoshop.com.tw/...jpg"]` | ✅ | | `product_url` | 商品網址 | `https://www.momoshop.com.tw/goods/GoodsDetail.jsp?i_code=10101929` | ✅ | | `source_mode` | 這筆從哪個模式來的 | `search` | ✅ | | `source_query` | 抓取時用的關鍵字 | `羅技滑鼠` | ✅ | | `scraped_at` | 抓取當下時間（ISO 8601） | `2026-07-03T05:23:28.617Z` | ✅ | **重要：momo v1.0 只有搜尋模式（search-only）。** `category_path`、`rating`、`review_count`、`sold_count`、`coupon` 這幾個欄位目前一律回 `null`，`promo` 一律回 `[]` —— 這些是 momo 商品詳情頁 / 評論頁才有的資料，規劃在 v1.1 的商品詳情模式（detail）與評論模式（reviews）中補上。**`stock`（精確庫存數字）反而是 momo 版本現在就有、而且是三站中最準確的欄位**，因為 momo 商品列表資料本身就內嵌即時庫存數。 --- ### 目前只有一種模式（v1.0） | 模式 | 幹嘛用的 | 計費事件 | 單價 | | ------------- | -------------------------------------------- | ------------------------ | ------ | | 🔎 **search** | 關鍵字搜尋，拿商品列表（含價格、折扣、庫存） | `search-listing`（每筆） | $0.002 | 不管跑幾筆，每次 Run 啟動都會額外收一次性的 `actor-start` 費用 **$0.005**。所有計費都在資料成功寫入 dataset **之後**才會收，Run 結束時 log 會印出 `total_items / charged / skipped` 讓你對帳。 **商品詳情（detail）與評論（reviews）模式規劃於後續 v1.1 版本推出**，目前版本只支援關鍵字搜尋。 --- ### 輸入欄位 | 欄位 | 型別 | 必填 | 預設 | 說明 | | -------------------- | -------- | :---: | :---------: | ------------------------------------------------------------------------------------------------------------------------------ | | `mode` | enum | 選填 | `search` | v1.0 僅支援 `search`（關鍵字搜尋）。 | | `keywords` | string[] | 必填* | — | 搜尋關鍵字，一個概念一個關鍵字最準。單次最多 **50** 個。 | | `sort` | enum | 選填 | `relevance` | v1.0 僅提供「相關度」排序 —— 熱銷/價格排序實測未生效，暫不開放（避免輸出誤導的順序）。 | | `priceMin` | integer | 選填 | — | 只留售價 ≥ 此金額的商品（NT$）。留空表示不限。 | | `priceMax` | integer | 選填 | — | 只留售價 ≤ 此金額的商品（NT$）。留空表示不限。 | | `bulkInput` | string | 選填 | — | **一行一個關鍵字**，按 Enter 換行，不要加引號或逗號。執行時自動併入 `keywords`。從 Google Sheet / Excel 複製一整欄貼進來最快。 | | `maxItems` | integer | 選填 | `50` | 每個關鍵字最多抓幾筆（1-500）。越多費用越高。 | | `proxyConfiguration` | object | 選填 | 關閉 | momo 對 datacenter 請求友善，預設不用 proxy 即可運作。只有大量抓取遇到被擋 (429) 時才建議開啟。 | *`keywords` 與 `bulkInput` 至少填一個。 --- ### 範例 **🔎 基本關鍵字搜尋** ```json { "mode": "search", "keywords": ["羅技滑鼠"], "sort": "relevance", "maxItems": 15 } ```` **💰 價格區間篩選** ```json { "mode": "search", "keywords": ["機械鍵盤"], "priceMin": 1000, "priceMax": 3000, "maxItems": 30 } ``` **📋 批量貼上多個關鍵字** ```json { "mode": "search", "bulkInput": "羅技滑鼠\n機械鍵盤\n咖啡機", "maxItems": 20 } ``` *** ### 幾個要注意的地方 - **只抓公開資料**。不需要登入、不需要 momo 帳號，也不會存取任何需要驗證才看得到的內容。 - **不用登入 / 不用 API token**。填好 input 就能跑，沒有任何金鑰要設定。 - **走 momo 網頁內嵌資料，非官方 API**。momo 搜尋頁把商品資料以 JSON 形式內嵌在 Next.js 頁面中，本 Actor 解析該內嵌資料，並非呼叫官方公開 API，如頁面結構調整可能需要更新爬蟲邏輯。 - **對電商站友善**。每個 domain 併發數 ≤5，遇到失敗會用指數退避重試最多 3 次，跨頁自動去重（同一商品不會重複出現、不會重複計費）。 - **`stock` 是 momo 版本的強項**。多數電商站只給「有貨/缺貨」，momo 商品列表資料直接內嵌即時精確庫存數量，適合做庫存監控、補貨提醒。 - **商品詳情（detail）與評論（reviews）規劃於 v1.1**。目前版本只有搜尋模式的彙總欄位，尚無法取得評分、評論內容、銷量等資料。 *** ### 常見問題 **Q: 關鍵字要怎麼給？** 直接填 `keywords` 陣列，或用 `bulkInput` 一行一個貼上，兩者會自動合併。一個概念填一個關鍵字最準，例如「羅技滑鼠」比「滑鼠 無線 靜音」準確。 **Q: 為什麼沒有評分 / 評論數？** momo 搜尋列表資料本身不包含評分與評論彙總，這部分規劃在 v1.1 的商品詳情 / 評論模式中補上。目前版本這兩欄一律回 `null`。 **Q: 費用怎麼算？** 每次 Run 啟動收一次 `actor-start`（$0.005）；每筆商品列表收 `search-listing`（$0.002）。都是資料成功寫入 dataset 後才收費，Run log 會印出實際收費筆數。 **Q: `stock` 準嗎？** `stock` 直接取自 momo 頁面內嵌資料的 `goodsStock` 即時值，跟你當下打開 momo 網站看到的庫存數字一致；但商品熱銷時庫存變動快，仍以下單當下頁面顯示為準。 **Q: 為什麼只有相關度排序，不能選熱銷或價格排序？** 實測發現 momo 的熱銷/價格排序參數目前不影響回傳順序（等於沒排序），為了不讓你誤以為資料真的照該順序排列，v1.0 先只開放驗證有效的「相關度」排序，其餘排序方式待確認可用後於後續版本開放。 *** ### 部署 ```bash apify login # 首次:貼上 Apify token(不會寫進 repo) apify push # 建置並上傳到 Apify Store ``` 上架後在 Apify Console 的 Monetization 設定 PPE 事件單價： `actor-start` $0.005、`search-listing` $0.002。 *** ### 免責聲明 本爬蟲只收集 momo 購物網**公開可見**的商品資料，資料僅供研究與個人用途使用，不用於任何未經授權的商業轉售。使用前請自行確認符合 momo 購物網服務條款與當地法規。對於資料的正確性、即時性或完整性，本 Actor 不做任何保證，商品價格與庫存請以 momo 官網當下顯示為準。 *** momo 爬蟲、momo購物網 API、momo 比價、價格追蹤、庫存監控、電商數據 # Actor input Schema ## `mode` (type: `string`): momo v1.0 支援搜尋模式。 ## `keywords` (type: `array`): 搜尋的關鍵字。例如：羅技滑鼠、機械鍵盤、咖啡機。一個概念一個關鍵字最準。 ## `sort` (type: `string`): 搜尋結果排序。v1.0 僅提供「相關度」— 其他排序方式(熱銷/價格)實測未生效，故先不開放，避免輸出誤導的排序結果，規劃於後續版本修復後再開放。 ## `priceMin` (type: `integer`): 只留售價 ≥ 此金額的商品。留空表示不限。 ## `priceMax` (type: `integer`): 只留售價 ≤ 此金額的商品。留空表示不限。 ## `bulkInput` (type: `string`): **一行一個關鍵字**，按 Enter 換行，不要加引號或逗號。執行時自動併入上面的關鍵字欄位。從 Google Sheet / Excel 複製一整欄貼進來最快。 ## `maxItems` (type: `integer`): 每個關鍵字最多抓幾筆。越多費用越高。 ## `proxyConfiguration` (type: `object`): momo 對 datacenter 請求友善，預設不用 proxy 即可運作。只有大量抓取遇到被擋 (429) 時才建議開啟。 ## Actor input object example ```json { "mode": "search", "keywords": [ "羅技滑鼠" ], "sort": "relevance", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "search", "keywords": [ "羅技滑鼠" ] }; // Run the Actor and wait for it to finish const run = await client.actor("claude_code_reviewer/momo-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "mode": "search", "keywords": ["羅技滑鼠"], } # Run the Actor and wait for it to finish run = client.actor("claude_code_reviewer/momo-scraper").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 '{ "mode": "search", "keywords": [ "羅技滑鼠" ] }' | apify call claude_code_reviewer/momo-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=claude_code_reviewer/momo-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "momo 購物網爬蟲｜商品、價格、原價、即時庫存一鍵匯出（免 API）", "description": "免登入抓 momo 購物網商品：關鍵字搜尋列表，含標題、價格、原價、即時庫存與圖片，輸出 JSON／CSV／Excel。支援批量關鍵字，電商比價、選品、庫存監控必備。", "version": "1.0", "x-build-id": "czoy22tVMrKf9p0MY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/claude_code_reviewer~momo-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-claude_code_reviewer-momo-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/claude_code_reviewer~momo-scraper/runs": { "post": { "operationId": "runs-sync-claude_code_reviewer-momo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claude_code_reviewer~momo-scraper/run-sync": { "post": { "operationId": "run-sync-claude_code_reviewer-momo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "🎯 模式", "enum": [ "search" ], "type": "string", "description": "momo v1.0 支援搜尋模式。", "default": "search" }, "keywords": { "title": "🔎 關鍵字", "maxItems": 50, "uniqueItems": true, "type": "array", "description": "搜尋的關鍵字。例如：羅技滑鼠、機械鍵盤、咖啡機。一個概念一個關鍵字最準。", "items": { "type": "string" } }, "sort": { "title": "🔀 排序", "enum": [ "relevance" ], "type": "string", "description": "搜尋結果排序。v1.0 僅提供「相關度」— 其他排序方式(熱銷/價格)實測未生效，故先不開放，避免輸出誤導的排序結果，規劃於後續版本修復後再開放。", "default": "relevance" }, "priceMin": { "title": "💰 最低價", "minimum": 0, "type": "integer", "description": "只留售價 ≥ 此金額的商品。留空表示不限。" }, "priceMax": { "title": "💰 最高價", "minimum": 0, "type": "integer", "description": "只留售價 ≤ 此金額的商品。留空表示不限。" }, "bulkInput": { "title": "📋 批量貼上", "type": "string", "description": "**一行一個關鍵字**，按 Enter 換行，不要加引號或逗號。執行時自動併入上面的關鍵字欄位。從 Google Sheet / Excel 複製一整欄貼進來最快。" }, "maxItems": { "title": "📊 最多抓幾筆", "minimum": 1, "maximum": 500, "type": "integer", "description": "每個關鍵字最多抓幾筆。越多費用越高。", "default": 50 }, "proxyConfiguration": { "title": "🌐 Proxy (進階,通常不用開)", "type": "object", "description": "momo 對 datacenter 請求友善，預設不用 proxy 即可運作。只有大量抓取遇到被擋 (429) 時才建議開啟。", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```