# Temu MCP Server (`axlymxp/temu-mcp-server`) Actor Give AI agents live access to Temu. This MCP server exposes tools to search products, fetch full product detail and browse the product feed — with price, images and sales — from Claude, Cursor, ChatGPT or n8n. Also runs as a classic scraper. Pay per tool call. - **URL**: https://apify.com/axlymxp/temu-mcp-server.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** E-commerce, Developer tools, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Temu MCP Server Give your **AI assistant live access to Temu**. This Actor runs as a **Model Context Protocol (MCP) server** so agents like **Claude, Cursor, ChatGPT and n8n** can search Temu, fetch product detail and browse the product feed in real time — and it also works as a classic one-shot scraper. ### Tools exposed to AI agents | Tool | What it does | | ---- | ------------ | | `temu_product_feed` | Products from Temu's homepage/recommendation feed — title, price, market price, discount, image, sales, URL. Works without login. | | `temu_search_products` | Keyword product search — same product fields, with sort options. Residential proxy recommended. | | `temu_product_detail` | Full detail for a product ID/URL — price, images, SKU variants, seller, rating, reviews, description. Residential proxy recommended; falls back to SEO fields when gated. | ### Who uses this - **AI builders & agent developers** — plug Temu product data into an assistant or workflow without writing a scraper or handling anti-bot. - **Dropshippers & analysts** — ask your assistant to find products, compare prices and pull details conversationally. - **No-code automations** — call the tools from n8n, Make or a custom agent. ### Connect your MCP client 1. Start this Actor in **Standby mode**. 2. Point your MCP client at the standby URL with the `/mcp` path (Streamable HTTP transport): ``` /mcp ``` 3. Example Claude Desktop / Cursor config: ```json { "mcpServers": { "temu": { "url": "https:///mcp" } } } ``` Your agent will then see `temu_product_feed`, `temu_search_products` and `temu_product_detail` as callable tools. ### Example agent prompts - "Use Temu to find the 10 best-selling wireless earbuds and list their prices." - "Get the full detail and variants for Temu product 601099651743804." - "Show me 20 products from Temu's feed with their discounts." ### Classic scraper mode Prefer a one-shot run? Provide input and the Actor pushes rows to a dataset: ```json { "mode": "search", "query": "wireless earbuds", "limit": 100 } ```` Modes: `feed` (default), `search` (needs `query`), `detail` (needs `goodsIds`). ### Output fields Product rows include `goods_id`, `title`, `price`, `market_price`, `currency`, `discount_text`, `sales_tip`, `image` and `url`. Detail results add `images`, `skus`, `mall_name`, `rating`, `review_count` and `description`. ### FAQ **Do I need a Temu account or cookies?** No — the server bootstraps its own session automatically. **Why are residential proxies recommended?** Temu gates keyword search and full product detail from low-reputation IPs. Run with Apify residential proxies for the best coverage; the product feed works without them. **Which AI clients are supported?** Any MCP-compatible client — Claude Desktop, Cursor, ChatGPT (MCP), n8n, and custom agents using the MCP SDK. **How is it billed?** Per MCP tool call (plus a small start fee). See the Store listing for current pricing. # Actor input Schema ## `mode` (type: `string`): What to scrape in classic run mode. Ignored in MCP standby mode. ## `query` (type: `string`): Keyword to search when mode = search. ## `goodsIds` (type: `array`): Temu product IDs or URLs when mode = detail. ## `limit` (type: `integer`): Max products for feed/search mode. ## `sortBy` (type: `string`): Result ordering when mode = search. ## `proxyConfiguration` (type: `object`): Proxy settings. RESIDENTIAL proxies are strongly recommended for keyword search and full product detail. ## Actor input object example ```json { "mode": "feed", "goodsIds": [], "limit": 40, "sortBy": "relevance", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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("axlymxp/temu-mcp-server").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("axlymxp/temu-mcp-server").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 axlymxp/temu-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/temu-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Temu MCP Server", "description": "Give AI agents live access to Temu. This MCP server exposes tools to search products, fetch full product detail and browse the product feed — with price, images and sales — from Claude, Cursor, ChatGPT or n8n. Also runs as a classic scraper. Pay per tool call.", "version": "0.1", "x-build-id": "kHYva7aiAR0hhjqwO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~temu-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-temu-mcp-server", "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/axlymxp~temu-mcp-server/runs": { "post": { "operationId": "runs-sync-axlymxp-temu-mcp-server", "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/axlymxp~temu-mcp-server/run-sync": { "post": { "operationId": "run-sync-axlymxp-temu-mcp-server", "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": "Run mode (classic scrape)", "enum": [ "feed", "search", "detail" ], "type": "string", "description": "What to scrape in classic run mode. Ignored in MCP standby mode.", "default": "feed" }, "query": { "title": "Search keyword (search mode)", "type": "string", "description": "Keyword to search when mode = search." }, "goodsIds": { "title": "Product IDs or URLs (detail mode)", "type": "array", "description": "Temu product IDs or URLs when mode = detail.", "default": [], "items": { "type": "string" } }, "limit": { "title": "Max products", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Max products for feed/search mode.", "default": 40 }, "sortBy": { "title": "Sort (search mode)", "enum": [ "relevance", "top_sales", "most_recent", "price_low_to_high", "price_high_to_low" ], "type": "string", "description": "Result ordering when mode = search.", "default": "relevance" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. RESIDENTIAL proxies are strongly recommended for keyword search and full product detail.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```