# Shein Scraper (`hello.datawizards/shein-scraper`) Actor Extract detailed product data from Shein using keyword search. This actor provides pricing, ratings, images, and bestseller infoโ€”perfect for market research or trend analysis. Requires Apify Residential Proxy to avoid blocking and ensure smooth, reliable scraping. - **URL**: https://apify.com/hello.datawizards/shein-scraper.md - **Developed by:** [datawizards](https://apify.com/hello.datawizards) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 84 total users, 11 monthly users, 99.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 --- ### ๐Ÿ›๏ธ Shein-Scraper Search and Extract Product Listings from Shein effortlessly. This **Shein-Scraper** Actor allows you to fetch detailed product data from Shein using keyword-based search. It provides clean, structured outputs including product details, pricing, ratings, and bestseller rankings โ€” ideal for market analysis, product research, or fashion trend monitoring. > โš ๏ธ **Note:** Please activate **Apify Proxy** with **Residential group** to prevent blockage during scraping. Running without proxy may result in failure or limited data retrieval. --- ### ๐Ÿš€ How This Shein-Scraper Works * Rent the **Shein-Scraper** and get quick access to structured Shein product listings. * Provide a keyword in the **`keywords`** field to search for specific items (e.g., `"womens"`, `"dress"`, `"shoes"`). * Set the desired **`item_limit`** to control how many items you want in the output. * Make sure to enable **Residential Proxy** under `proxyConfiguration` to bypass potential blocks. * Get clean JSON results, ready to be used in any automation, analysis, or display logic. --- ### ๐Ÿงพ Input Configuration Here is a sample input you can use: ```json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "keywords": "womens", "item_limit": 20 } ```` *** ### ๐Ÿ“ฆ Output Sample Once the scraper runs successfully, you will receive an array of product data containing: - Keyword used - Product ID and name - Category ID and name - Pricing details (price, sale price, discount) - Stock availability - Image URLs (main + detail images) - Ratings and review stats - Brand name and bestseller info ```json [ { "keyword": "womens", "product_id": "60198611", "product_name": "Elenzga Women Elegant Sleeveless Suit Vest And Pants Set, Business Commuting Outfit For Summer", "category_id": "1780", "category_name": "Women Two-piece Outfits", "price": "$19.00", "sale_price": "$19.00", "discount_price": "$0.00", "stock": "1", "image_url": "http://img.ltwebstatic.com/images3_pi/2025/03/08/f6/17414453209c67dd3ecde94ef7a1d76635c8ffe7a8_thumbnail_405x552.jpg", "detail_images": [ "http://img.ltwebstatic.com/images3_pi/2025/03/08/55/...jpg", "...more images..." ], "rating": "4.95", "total_reviews": 1001, "fit_percentage": "93%", "brand_name": "Elenzga", "bestseller_rank": "#2 Bestseller", "bestseller_category": "in Black Women Two-piece Outfits" }, { "keyword": "womens", "product_id": "46319712", "product_name": "Women's High-Waisted Design Suit Pants...", "category_id": "1740", "category_name": "Women Pants", "price": "$14.00", "sale_price": "$14.00", "discount_price": "$0.00", "stock": "1", "image_url": "https://img.ltwebstatic.com/images3_spmp/...jpg", "detail_images": [ "https://img.ltwebstatic.com/images3_spmp/...jpg", "...more images..." ], "rating": "4.86", "total_reviews": 1001, "fit_percentage": "91%", "brand_name": null, "bestseller_rank": "#1 Bestseller", "bestseller_category": "in Belted Women Pants" } ] ``` *** ### ๐Ÿ“Œ Use Cases - E-commerce competitor research - Trend discovery and fashion analytics - Retail price comparison - Image and review scraping for product analysis *** ### ๐Ÿ“ž Support For custom solutions, simplified outputs, or bug reporting, feel free to contact: ๐Ÿ“ง **** ๐Ÿ”— [Connect on LinkedIn](https://www.linkedin.com/in/data-wizards-aa8080342) > ๐Ÿ’ก **Tip:** When contacting support, please include the subject **โ€œShein-Scraper Support Requestโ€** for faster assistance. *** # Actor input Schema ## `keywords` (type: `string`): keywords to search for in posts ## `item_limit` (type: `integer`): Maximum number of posts to scrape ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "keywords": "womens", "item_limit": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "keywords": "womens", "item_limit": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("hello.datawizards/shein-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "keywords": "womens", "item_limit": 50, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("hello.datawizards/shein-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": "womens", "item_limit": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call hello.datawizards/shein-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hello.datawizards/shein-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shein Scraper", "description": "Extract detailed product data from Shein using keyword search. This actor provides pricing, ratings, images, and bestseller infoโ€”perfect for market research or trend analysis. Requires Apify Residential Proxy to avoid blocking and ensure smooth, reliable scraping.", "version": "0.0", "x-build-id": "i5NCYz1KBCeas9O6d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hello.datawizards~shein-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hello.datawizards-shein-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hello.datawizards~shein-scraper/runs": { "post": { "operationId": "runs-sync-hello.datawizards-shein-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hello.datawizards~shein-scraper/run-sync": { "post": { "operationId": "run-sync-hello.datawizards-shein-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "keywords", "type": "string", "description": "keywords to search for in posts", "default": "womens" }, "item_limit": { "title": "Item Limit", "minimum": 1, "type": "integer", "description": "Maximum number of posts to scrape" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```