# AliExpress Scraper (`moving_beacon-owner1/aliexpress-scraper-apify-actor`) Actor The Apify AliExpress Scraper features four modes: search, product, category, and reviews. It efficiently collects data and stores everything in a single dataset, with each entry tagged by a `_type` for easy navigation and use. - **URL**: https://apify.com/moving\_beacon-owner1/aliexpress-scraper-apify-actor.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## AliExpress Scraper (Apify Actor) Apify actor that scrapes AliExpress in four modes: | Input field | What it does | Backed by | |---|---|---| | `searchUrls` | Scrape AliExpress search-result pages | `aliexpress.scrape_search` | | `productUrls` | Scrape full product detail pages | `aliexpress.scrape_product` | | `categoryUrls` | Scrape products listed on category pages | `aliexpress.find_aliexpress_products` | | `productIdsForReviews` | Scrape buyer reviews for a product | `aliexpress.scrape_product_reviews` | ```` Each pushed item is tagged so a single dataset can hold mixed output: ```jsonc { "_type": "search_result", "_sourceUrl": "...", "title": "...", ... } { "_type": "product", "_sourceUrl": "...", "name": "...", ... } { "_type": "category_item", "_sourceUrl": "...", ... } { "_type": "review", "_sourceProductId": "1005006...", "rating": 5, ... } ``` ### Proxy AliExpress aggressively blocks datacenter IPs. The default input enables **Apify Proxy with the `RESIDENTIAL` group** — this gives you the best chance of getting real data. You can also point at a custom proxy via the standard Apify proxy input fields. The shim reads whichever URL Apify hands it through the `PROXY_URL` env var, and uses it for both `httpx` (search/category/reviews) and Chromium (product/search-with-render\_js). ### Run locally with the Apify CLI ```bash npm install -g apify-cli ## one-time apify login ## paste your token from console.apify.com cd aliexpress-actor apify run --purge ## builds the Docker image and runs once ``` To deploy to your Apify account: ```bash apify push ``` Then run from with whatever input you like. ### Run on Apify without the CLI 1. Zip the contents of this folder (so the zip's top level contains `.actor/`, `src/`, `Dockerfile`, `requirements.txt`, `README.md` — not a single wrapper folder). 2. → **Actors** → **Create new** → **Upload** → drop the zip. 3. Click **Build**, wait ~3 min for the Docker image (Playwright + Chromium is the slow part). 4. Click **Start**, fill in the input, run. ### Example input ```json { "searchUrls": [ "https://www.aliexpress.com/wholesale?SearchText=mechanical+keyboard", "https://www.aliexpress.com/wholesale?SearchText=gpu+rtx+4060" ], "maxSearchPages": 2, "productUrls": [ "https://www.aliexpress.com/item/3256805592859125.html" ], "productIdsForReviews": [ "1005006717259012" ], "maxReviewPages": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Output (sample item shape) ```jsonc // _type=search_result { "_type": "search_result", "_sourceUrl": "https://www.aliexpress.com/wholesale?SearchText=mechanical+keyboard", "productId": "3256809981706062", "title": { "displayTitle": "..." }, "image": { "imgUrl": "..." }, "prices": { "salePrice": { "formattedPrice": "$24.50" } }, "store": { "storeName": "..." } // ...all upstream fields preserved } ``` # Actor input Schema ## `searchUrls` (type: `array`): AliExpress search result page URLs (e.g. https://www.aliexpress.com/wholesale?SearchText=laptop). ## `maxSearchPages` (type: `integer`): How many search-result pages to scrape per search URL. ## `productUrls` (type: `array`): AliExpress product detail page URLs (e.g. https://www.aliexpress.com/item/3256805592859125.html). ## `categoryUrls` (type: `array`): AliExpress category page URLs (e.g. https://www.aliexpress.com/category/5090301/cellphones.html). ## `maxCategoryPages` (type: `integer`): How many pages to scrape per category URL. ## `productIdsForReviews` (type: `array`): Numeric AliExpress product IDs (e.g. 1005006717259012). Reviews are scraped from the AliExpress feedback API. ## `maxReviewPages` (type: `integer`): How many pages of reviews to scrape per product ID. ## `proxyConfiguration` (type: `object`): AliExpress aggressively blocks datacenter IPs. Apify Proxy with residential or RESIDENTIAL groups is strongly recommended. ## `perTaskTimeoutSeconds` (type: `integer`): Maximum time to wait for any one URL/ID before giving up and moving on. ## Actor input object example ```json { "searchUrls": [ "https://www.aliexpress.com/wholesale?SearchText=laptop" ], "maxSearchPages": 1, "productUrls": [], "categoryUrls": [], "maxCategoryPages": 1, "productIdsForReviews": [], "maxReviewPages": 1, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "perTaskTimeoutSeconds": 120 } ``` # 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 = { "searchUrls": [ "https://www.aliexpress.com/wholesale?SearchText=laptop" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/aliexpress-scraper-apify-actor").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 = { "searchUrls": ["https://www.aliexpress.com/wholesale?SearchText=laptop"] } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/aliexpress-scraper-apify-actor").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 '{ "searchUrls": [ "https://www.aliexpress.com/wholesale?SearchText=laptop" ] }' | apify call moving_beacon-owner1/aliexpress-scraper-apify-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/aliexpress-scraper-apify-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AliExpress Scraper", "description": "The Apify AliExpress Scraper features four modes: search, product, category, and reviews. It efficiently collects data and stores everything in a single dataset, with each entry tagged by a `_type` for easy navigation and use.", "version": "0.0", "x-build-id": "d7SkVq0Rg1A8e2aRb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~aliexpress-scraper-apify-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-aliexpress-scraper-apify-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~aliexpress-scraper-apify-actor/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-aliexpress-scraper-apify-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~aliexpress-scraper-apify-actor/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-aliexpress-scraper-apify-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchUrls": { "title": "Search URLs", "type": "array", "description": "AliExpress search result page URLs (e.g. https://www.aliexpress.com/wholesale?SearchText=laptop).", "default": [], "items": { "type": "string" } }, "maxSearchPages": { "title": "Max pages per search URL", "minimum": 1, "maximum": 60, "type": "integer", "description": "How many search-result pages to scrape per search URL.", "default": 1 }, "productUrls": { "title": "Product URLs", "type": "array", "description": "AliExpress product detail page URLs (e.g. https://www.aliexpress.com/item/3256805592859125.html).", "default": [], "items": { "type": "string" } }, "categoryUrls": { "title": "Category URLs", "type": "array", "description": "AliExpress category page URLs (e.g. https://www.aliexpress.com/category/5090301/cellphones.html).", "default": [], "items": { "type": "string" } }, "maxCategoryPages": { "title": "Max pages per category URL", "minimum": 1, "maximum": 60, "type": "integer", "description": "How many pages to scrape per category URL.", "default": 1 }, "productIdsForReviews": { "title": "Product IDs to fetch reviews for", "type": "array", "description": "Numeric AliExpress product IDs (e.g. 1005006717259012). Reviews are scraped from the AliExpress feedback API.", "default": [], "items": { "type": "string" } }, "maxReviewPages": { "title": "Max review pages per product", "minimum": 1, "maximum": 60, "type": "integer", "description": "How many pages of reviews to scrape per product ID.", "default": 1 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "AliExpress aggressively blocks datacenter IPs. Apify Proxy with residential or RESIDENTIAL groups is strongly recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "perTaskTimeoutSeconds": { "title": "Per-task timeout (seconds)", "minimum": 30, "maximum": 600, "type": "integer", "description": "Maximum time to wait for any one URL/ID before giving up and moving on.", "default": 120 } } }, "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 } } } } } } } } } } ```