# AliExpress Products Scraper - Prices & Catalog Data (`fascinating_lentil/aliexpress-products-scraper`) Actor Collect public AliExpress product catalog data including titles, prices, discounts, ratings, sold counts, images, and product URLs. - **URL**: https://apify.com/fascinating\_lentil/aliexpress-products-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** E-commerce, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 product scrapeds 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 Products Scraper - Prices & Catalog Data Collect structured public AliExpress product catalog and pricing data for market research and price monitoring. Export to JSON, CSV, Excel, or HTML, or pull results through the Apify API. No AliExpress login or API key is required. ### What It Extracts - Search query and result position - Product ID and title - Current and original price - Discount percentage and currency - Aggregate rating and sold count - Business store name when exposed on the search card - Product image and canonical URL - Scrape timestamp The Actor excludes individual seller identities, personal profiles, reviewer identities, emails, and phone numbers. Free-text values are passed through a sensitive-text redaction guard before storage. ### Input | Field | Type | Required | Default | Description | |---|---|---:|---|---| | `searchQueries` | string[] | yes | `["wireless earbuds"]` | Product searches to process | | `maxResults` | integer | no | `50` | Maximum unique products, up to 500 | | `maxPagesPerQuery` | integer | no | `2` | Result pages opened per query, up to 10 | | `proxyConfiguration` | object | no | Residential US | Apify proxy settings | ### Sample Output ```json { "searchQuery": "wireless earbuds", "position": 1, "productId": "3256812072210872", "title": "Xiaomi Airdots 2 Wireless Earphones Bluetooth Headset", "price": 7.58, "originalPrice": 15.16, "discountPercent": 50, "currency": "USD", "rating": 4.9, "ordersCount": 500, "storeName": null, "imageUrl": "https://ae-pic-a1.aliexpress-media.com/kf/example.jpg", "productUrl": "https://www.aliexpress.com/item/3256812072210872.html", "scrapedAt": "2026-06-13T06:43:16.000Z" } ```` ### Use Cases - Monitor AliExpress prices and discounts over time - Compare products and aggregate demand signals across keywords - Research marketplace assortment and category trends - Build non-personal product catalog datasets - Track rating and sold-count changes for public listings ### Pricing | Event | Price | 1,000 products | 10,000 products | |---|---:|---:|---:| | `product-scraped` | $0.002/product | $2.00 | $20.00 | The event is charged only after a clean, unique product record is saved. Blocked, duplicate, empty, and failed pages are not billed as product events. ### How to Scrape AliExpress Products 1. Add one or more product terms to `searchQueries`. 2. Choose the maximum number of products and pages per query. 3. Keep the recommended residential proxy configuration. 4. Run the Actor and wait for the dataset to populate. 5. Export the dataset or retrieve it through the Apify API. ### How It Works The Actor opens AliExpress search pages in a real Chrome browser through rotating residential sessions. It waits for rendered product cards, scrolls the result page, extracts public catalog facts, removes duplicate product IDs, saves each clean record, and charges the PPE event only after storage succeeds. ### Known Limits - AliExpress blocks direct and datacenter traffic; residential proxies are strongly recommended. - Prices and availability can vary by delivery country, account state, promotions, and time. - `storeName` is `null` when AliExpress does not expose a business store name on the search card. - AliExpress can change generated CSS classes. The Actor combines semantic attributes and content patterns, but future site changes may require maintenance. - Large runs are browser-intensive. Start with a small test before requesting hundreds of products. ### Responsible Use This Actor is intended for lawful collection of publicly available information only. Users are responsible for ensuring their use complies with the source website's terms, robots.txt, applicable privacy laws, including India's DPDP Act, and all local regulations. Do not use this Actor to collect, store, sell, or misuse personal data without a lawful basis. The Actor author is not responsible for misuse by end users. ### License Apache-2.0 # Actor input Schema ## `searchQueries` (type: `array`): One or more product searches. Duplicate products are removed across queries. ## `maxResults` (type: `integer`): Maximum unique product records saved across all searches. ## `maxPagesPerQuery` (type: `integer`): Maximum AliExpress result pages opened for each query. ## `proxyConfiguration` (type: `object`): Residential US proxies are recommended and used by default because AliExpress blocks direct datacenter traffic. ## Actor input object example ```json { "searchQueries": [ "wireless earbuds", "phone case" ], "maxResults": 50, "maxPagesPerQuery": 2, "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 = { "searchQueries": [ "wireless earbuds", "phone case" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/aliexpress-products-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 = { "searchQueries": [ "wireless earbuds", "phone case", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/aliexpress-products-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 '{ "searchQueries": [ "wireless earbuds", "phone case" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call fascinating_lentil/aliexpress-products-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/aliexpress-products-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AliExpress Products Scraper - Prices & Catalog Data", "description": "Collect public AliExpress product catalog data including titles, prices, discounts, ratings, sold counts, images, and product URLs.", "version": "1.0", "x-build-id": "RPbfeQavMvpsrWgzh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~aliexpress-products-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-aliexpress-products-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~aliexpress-products-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-aliexpress-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~aliexpress-products-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-aliexpress-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "One or more product searches. Duplicate products are removed across queries.", "default": [ "wireless earbuds" ], "items": { "type": "string" } }, "maxResults": { "title": "Maximum products", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum unique product records saved across all searches.", "default": 50 }, "maxPagesPerQuery": { "title": "Pages per query", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum AliExpress result pages opened for each query.", "default": 2 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential US proxies are recommended and used by default because AliExpress blocks direct datacenter traffic.", "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 } } } } } } } } } } ```