# 🛒 1688 商品爬蟲 — 批發採購、廠家直送 (`futurizerush/1688-com-products-scraper-zh-tw`) Actor 從 1688.com 擷取批發商品資料：標題、單價、批量階梯價、商家位置、信用分數、銷量與回購率。輸入關鍵字即可批次採集，無需登入。所有輸入與輸出欄位標題皆為繁體中文，方便直接套用 Excel／Google Sheets。適合跨境電商、選品研究、廠家比價。 (Beta) - **URL**: https://apify.com/futurizerush/1688-com-products-scraper-zh-tw.md - **Developed by:** [Rush](https://apify.com/futurizerush) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## 🛒 1688 商品爬蟲 — 批發採購、廠家直送 > 從 1688.com 擷取批發商品資料：批量階梯價、商家信用六項子評分、銷量、回購率、認證徽章。輸入關鍵字即批次採集，無需登入。**所有輸入與輸出欄位皆為繁體中文**，方便直接套用 Excel／Google Sheets。 --- ### 🎯 你可以做什麼 - **批次關鍵字搜尋**：一次最多 50 個關鍵字，每個關鍵字最多 1000 件商品 - **36 個商品欄位**：標題、單價、批量階梯價、主圖、商家、省份、城市、信用六項子評分、銷量、回購率、回頭率、徽章、服務標籤 - **可用篩選**：價格區間、商家評分下限、僅認證商家 - **排序方式**：綜合（預設） / 熱銷（依 1688 站內熱銷指標排序） - **支援多語**：繁中、簡中、英文關鍵字皆可（依 1688 站內覆蓋而定） --- ### 📥 輸入欄位 | 欄位 | 類型 | 必填 | 說明 | |---|---|---|---| | `搜尋關鍵字` | array of strings | ✅ | 搜尋關鍵字，可批次採集（例：連身裙、phone case、空气炸锅） | | `最大商品數` | integer (60–1000) | 否，預設 60 | 每個關鍵字最多擷取多少件商品 | | `排序方式` | enum | 否，預設 `綜合` | `綜合` / `熱銷`（依 1688 站內熱銷指標排序） | | `最低單價` | integer | 否 | 最低單價（人民幣 CNY） | | `最高單價` | integer | 否 | 最高單價（人民幣 CNY） | | `商家最低評分` | number (0–5) | 否 | 商家綜合評分下限（例：4.5 表示僅保留 4.5 分以上商家） | | `僅顯示認證商家` | boolean | 否，預設 `false` | 啟用後僅保留實地認證商家（工廠認證或商家認證任一） | --- ### 📤 輸出範例 ```json { "商品編號": "1035753446015", "商品標題": "3th Morning 奶油甜茶 韩系复古水果印花圆领短袖T恤ZY4091", "商品網址": "https://detail.1688.com/offer/1035753446015.html", "主圖": "https://cbu01.alicdn.com/img/ibank/O1CN01rX4sLe21ayNq1aDEN_!!2211360847002-0-cib.jpg", "人民幣單價": "42", "批量階梯價": [{"數量範圍": "≥1件", "單價": "42.00"}], "商家名稱": "苏州智允服饰设计有限公司", "商家省份": "江苏", "商家城市": "苏州市", "經營型態": "生产加工", "商家經營年數": "6", "認證商家": true, "工廠認證": true, "商家認證": true, "近期下單筆數": 437, "累計銷量描述": "已售400+件", "回購率": "1%", "回頭率": "64%", "綜合評分": "4.5", "諮詢評分": "4.5", "物流評分": "3.57", "糾紛處理評分": "4.0", "退貨體驗評分": "4.67", "商品品質評分": "3.0", "徽章": ["退货包运费", "先采后付", "回头率64%"], "服務標籤": ["7×24H响应", "深度验厂", "先采后付"], "搜尋關鍵字": "T恤", "搜尋頁碼": 1, "擷取時間": "2026-04-26T20:08:54Z" } ```` 完整 36 個欄位請見 dataset 預設視圖。所有欄位皆為繁體中文，下載 CSV 後可直接導入 Excel／Google Sheets 使用。 *** ### 💡 使用場景 - **跨境電商選品**：抓取熱銷品 + 廠家直送資料，套到 Shopify、Amazon、蝦皮、樂天上架 - **批發商比價**：跨多個關鍵字比較同類目單價、批量階梯價、商家信用評分 - **類目情報追蹤**：監控特定類目的銷量、回購率與單價變化 - **代購清單建檔**：批量取得商品 URL + 圖片 + 價格，建立代購商品清單 *** ### 🔗 推廣連結 本 Actor 由 [futurizerush](https://apify.com/futurizerush?fpr=rush) 發佈。若本工具對您有幫助，透過此連結註冊 Apify 帳號是對作者的小小支持，感謝。 *** ### ❓ FAQ **Q1：為什麼一次跑很多關鍵字時，某幾個會回 0 筆結果？** 1688 偶爾會限制流量，導致少數關鍵字在當次運行回 0 筆。Actor 會在友善訊息後跳到下一個關鍵字繼續執行 — 已抓到的結果仍會保留。 **Q2：為什麼不同商品的「批量階梯價」階數不一樣？** 1688 商家自行設定批量階梯。零售友善的商家通常只設一階「≥1件」，傳統批發廠家會設多階（如 1~99件 / 100~499件 / ≥500件）；少數商家未設定階梯，此時「批量階梯價」會是空陣列。 **Q3：圖片網址會過期嗎？** 圖片網址通常很穩定，但商家重新上架商品時可能會換圖。如需長期保存，建議擷取後即時下載備份。 **Q4：本 Actor 是否會被列入 1688 黑名單？** 本 Actor 全程匿名執行，不需登入、不附帶任何帳號資訊，因此不會把您的 1688 帳號暴露在風險中。 **Q5：可以擷取商品詳情頁的完整 SKU 矩陣嗎？** 不行。本 Actor 只擷取搜尋頁的彙總資料。完整 SKU 與規格矩陣存在於各商品的詳情頁，不在本 Actor 的範圍內。 *** ### ⚠️ 免責聲明 本 Actor 僅擷取 1688.com 公開可見的商品資訊，不接觸任何登入後內容、不提交訂單、不修改賣家頁面。資料準確性、即時性與可用性取決於 1688 站內展示，可能因平台調整或商家變動而異。本工具不構成投資建議或法律意見，使用者應自行評估資料的合規與商業用途。 擷取的資料為 1688 商家自行公開的資訊，著作權與相關權利屬於原始發布商家。請遵守 1688 服務條款及當地法律。 *** > Built with Claude Code, OpenClaw, Gemini, Antigravity, Codex, ChatGPT. # Actor input Schema ## `搜尋關鍵字` (type: `array`): 輸入欲搜尋的商品關鍵字（中文或英文皆可）。多個關鍵字可批次採集。例：連身裙、phone case、空气炸锅。 ## `最大商品數` (type: `integer`): 每個關鍵字最多擷取多少件商品。最少 60、最多 1000、預設 60。 ## `排序方式` (type: `string`): 選擇商品排序：綜合（預設） / 熱銷（依 1688 站內熱銷指標排序）。 ## `最低單價` (type: `integer`): 篩選最低單價（人民幣）。例：10。留空表示不限。 ## `最高單價` (type: `integer`): 篩選最高單價（人民幣）。例：500。留空表示不限。 ## `商家最低評分` (type: `number`): 篩選商家綜合評分下限（0–5 分）。例：4.5 表示僅保留 4.5 分以上商家。留空表示不限。 ## `僅顯示認證商家` (type: `boolean`): 啟用後僅保留實地認證商家（工廠認證或商家認證任一）。 ## Actor input object example ```json { "搜尋關鍵字": [ "手機殼", "雨傘", "保溫瓶" ], "最大商品數": 60, "排序方式": "綜合", "僅顯示認證商家": false } ``` # Actor output Schema ## `商品資料` (type: `string`): 擷取到的商品與商家公開資料清單 ## `執行摘要` (type: `string`): 本次執行結果摘要 # 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 = { "搜尋關鍵字": [ "手機殼", "雨傘", "保溫瓶" ], "最大商品數": 60, "排序方式": "綜合", "僅顯示認證商家": false }; // Run the Actor and wait for it to finish const run = await client.actor("futurizerush/1688-com-products-scraper-zh-tw").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 = { "搜尋關鍵字": [ "手機殼", "雨傘", "保溫瓶", ], "最大商品數": 60, "排序方式": "綜合", "僅顯示認證商家": False, } # Run the Actor and wait for it to finish run = client.actor("futurizerush/1688-com-products-scraper-zh-tw").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 '{ "搜尋關鍵字": [ "手機殼", "雨傘", "保溫瓶" ], "最大商品數": 60, "排序方式": "綜合", "僅顯示認證商家": false }' | apify call futurizerush/1688-com-products-scraper-zh-tw --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=futurizerush/1688-com-products-scraper-zh-tw", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🛒 1688 商品爬蟲 — 批發採購、廠家直送", "description": "從 1688.com 擷取批發商品資料：標題、單價、批量階梯價、商家位置、信用分數、銷量與回購率。輸入關鍵字即可批次採集，無需登入。所有輸入與輸出欄位標題皆為繁體中文，方便直接套用 Excel／Google Sheets。適合跨境電商、選品研究、廠家比價。 (Beta)", "version": "0.0", "x-build-id": "KIhuKiUnVyHIkqffe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/futurizerush~1688-com-products-scraper-zh-tw/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-futurizerush-1688-com-products-scraper-zh-tw", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/futurizerush~1688-com-products-scraper-zh-tw/runs": { "post": { "operationId": "runs-sync-futurizerush-1688-com-products-scraper-zh-tw", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/futurizerush~1688-com-products-scraper-zh-tw/run-sync": { "post": { "operationId": "run-sync-futurizerush-1688-com-products-scraper-zh-tw", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "搜尋關鍵字" ], "properties": { "搜尋關鍵字": { "title": "🔍 搜尋關鍵字", "minItems": 1, "maxItems": 50, "uniqueItems": true, "type": "array", "description": "輸入欲搜尋的商品關鍵字（中文或英文皆可）。多個關鍵字可批次採集。例：連身裙、phone case、空气炸锅。", "items": { "type": "string" } }, "最大商品數": { "title": "📦 每個關鍵字最大商品數", "minimum": 60, "maximum": 1000, "type": "integer", "description": "每個關鍵字最多擷取多少件商品。最少 60、最多 1000、預設 60。", "default": 60 }, "排序方式": { "title": "🔢 排序方式", "enum": [ "綜合", "熱銷" ], "type": "string", "description": "選擇商品排序：綜合（預設） / 熱銷（依 1688 站內熱銷指標排序）。", "default": "綜合" }, "最低單價": { "title": "💴 最低單價（CNY）", "minimum": 0, "type": "integer", "description": "篩選最低單價（人民幣）。例：10。留空表示不限。" }, "最高單價": { "title": "💴 最高單價（CNY）", "minimum": 0, "type": "integer", "description": "篩選最高單價（人民幣）。例：500。留空表示不限。" }, "商家最低評分": { "title": "⭐ 商家最低綜合評分", "minimum": 0, "maximum": 5, "type": "number", "description": "篩選商家綜合評分下限（0–5 分）。例：4.5 表示僅保留 4.5 分以上商家。留空表示不限。" }, "僅顯示認證商家": { "title": "✅ 僅顯示認證商家", "type": "boolean", "description": "啟用後僅保留實地認證商家（工廠認證或商家認證任一）。", "default": 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 } } } } } } } } } } ```