# Shein New Arrivals & Best-Sellers Trend Scraper (`jungle_synthesizer/shein-new-arrivals-bestsellers-trend-scraper`) Actor Scrape Shein category pages for new arrivals and best-sellers. Tracks rank, first\_seen\_date, rank\_movement, pricing, and flash sales per run. For fashion trend forecasting and dropship research. Powered by Bright Data Web Unlocker — the only proven path through Shein Halo anti-bot. - **URL**: https://apify.com/jungle\_synthesizer/shein-new-arrivals-bestsellers-trend-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Shein New Arrivals & Best-Sellers Trend Scraper Scrape Shein category pages for new arrivals and best-sellers. Tracks rank, `first_seen_date`, `rank_movement`, pricing, and flash sale data per run. Designed for fashion trend forecasting and dropship research. Powered by **Bright Data Web Unlocker** — the only proven path through Shein's Halo anti-bot system. ### What you get Each record represents one product's position in a Shein category listing at the time of the run: | Field | Description | |---|---| | `goods_id` | Shein's internal numeric product ID | | `product_name` | Display title from the listing page | | `product_url` | Full canonical product detail URL | | `image_url` | Primary listing thumbnail URL | | `category` / `category_id` | Human-readable name + numeric `-c-` extracted from the URL | | `rank` | 1-based position in the listing | | `first_seen_date` | ISO 8601 date this product first appeared in a run for this category + feed type | | `rank_movement` | Position delta vs the previous run (positive = climbed, negative = fell, 0 = first seen or unchanged) | | `sale_price` | Current sale price (numeric) | | `retail_price` | Original retail price before discount | | `discount_pct` | Discount percentage (0–100) | | `currency` | ISO 4217 currency code (USD, GBP, EUR, …) | | `is_flash_sale` | `true` if currently on a limited-time flash sale | | `flash_sale_price` | Flash sale price if active — `null` otherwise | | `flash_sale_end` | ISO 8601 end timestamp of the flash sale — `null` if not active | | `region` | Storefront region derived from the category URL (`us`, `uk`, `de`, …) | | `feed_type` | Which feed this product came from: `new_arrival` or `best_seller` | ### How it works Shein's Halo anti-bot system blocks Playwright and standard residential proxies. This actor uses **Bright Data Web Unlocker**, which handles TLS fingerprinting, browser challenge solving, and rotating exit nodes server-side — returning the full rendered HTML (~4–5 MB per category page) to the actor. Product data is extracted from an anonymous JavaScript array embedded in the page. The actor applies a mandatory content gate: any response smaller than 400 KB, containing explicit challenge markers, or lacking `goods_id` signals is treated as a Halo challenge shell and retried (up to 3 times). Trend state (`first_seen_date`, previous rank) is persisted to the run's Key-Value store so that consecutive runs compute accurate `rank_movement` deltas. ### Inputs #### Category URLs Shein category page URLs to scrape. Must use the `-c-.html` URL format: ```` https://us.shein.com/Women-Dresses-c-1727.html https://us.shein.com/Women-Tops-c-1738.html ```` Leave this field empty to use the built-in default set: Women Dresses, Tops, Pants, and Sets on `us.shein.com`. **Do not add `?sort=` manually.** The sort direction is controlled by the Feed Type input. #### Feed Type Which trend feed to scrape: - **Both New Arrivals and Best Sellers** (default) — fetches each category URL twice, once with `sort=7` (newest) and once with `sort=8` (best-selling). - **New Arrivals only** — sorted by newest additions (`sort=7`). - **Best Sellers only** — sorted by sales volume / popularity (`sort=8`). #### Region Shein storefront region for currency context. Automatically derived from the category URL domain if left unset. | Value | Storefront | |---|---| | `us` | us.shein.com (USD) | | `uk` | shein.co.uk (GBP) | | `de` | shein.de (EUR) | | `fr` | shein.fr (EUR) | | `au` | shein.com.au (AUD) | | `ca` | shein.ca (CAD) | #### Max Items Maximum number of product records to emit across all pages and feeds combined. Set to `0` for no limit. Default: 100. ### Example output ```json { "goods_id": "414605698", "product_name": "Fashionable Digital Printed Milk Silk Fabric, Cool Summer Maxi Dress", "product_url": "https://us.shein.com/p-414605698.html", "image_url": "https://img.ltwebstatic.com/images3_spmp/...", "category": "Women Dresses", "category_id": "1727", "rank": 1, "first_seen_date": "2026-07-05", "rank_movement": 0, "sale_price": 8.93, "retail_price": 14.99, "discount_pct": 40, "currency": "USD", "is_flash_sale": false, "flash_sale_price": null, "flash_sale_end": null, "region": "us", "feed_type": "new_arrival" } ```` ### Performance and cost Each Shein category page is fetched via Bright Data Web Unlocker. The billing model is per successful Web Unlocker request (~$1.50 / 1 000 requests). A standard run with 4 categories on both feeds = 8 BD requests. Memory: 512 MB. Concurrent BD fetches are capped at 2 to prevent OOM on large response bodies (~5 MB each). ### Trend tracking across runs Run this actor on a schedule (daily or hourly) for the same category URLs. On each run it: 1. Reads the previous run's rank state from the Key-Value store. 2. Computes `rank_movement` per product. 3. Records `first_seen_date` the first time a `goods_id` appears. 4. Persists updated state for the next run. The state key is `category_id:feed_type:goods_id`, so multiple categories and feed types are tracked independently. ### Anti-bot notes - **Halo challenge shell**: Shein serves a ~355 KB JavaScript challenge page that Bright Data's server-side grader sometimes marks as `ok`. The actor's content gate (size >= 400 KB + `goods_id` present) rejects these false positives and retries. - **Retry limit**: Up to 3 BD retries per request. A page that fails all retries is skipped with a warning — the run continues. - **Concurrency**: `inn_max_conc: 2` limits peak concurrent BD fetches. Do not raise this above 4 without increasing memory. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `resumeCursor` (type: `string`): Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs). ## `categoryUrls` (type: `array`): Shein category page URLs to scrape (must use the -c-.html format, e.g. https://us.shein.com/Women-Dresses-c-1727.html). Leave empty to use the built-in default set of top US Shein categories (Women Dresses, Tops, Pants, Sets). Sort direction is controlled by feedTypes — do not add ?sort= manually. ## `feedType` (type: `string`): Which trend feed to scrape. new\_arrival = sorted by newest; best\_seller = sorted by sales/popularity; both = fetch each category URL twice (default). ## `region` (type: `string`): Shein storefront region for currency context. Derived from the URL domain if omitted. ## `maxItems` (type: `integer`): Maximum number of product records to emit per run (0 = no limit). Applies across all pages/feeds combined. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categoryUrls": [ { "url": "https://us.shein.com/Women-Dresses-c-1727.html" }, { "url": "https://us.shein.com/Women-Tops-c-1738.html" } ], "feedType": "both", "region": "us", "maxItems": 20 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categoryUrls": [ { "url": "https://us.shein.com/Women-Dresses-c-1727.html" }, { "url": "https://us.shein.com/Women-Tops-c-1738.html" } ], "feedType": "both", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/shein-new-arrivals-bestsellers-trend-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categoryUrls": [ { "url": "https://us.shein.com/Women-Dresses-c-1727.html" }, { "url": "https://us.shein.com/Women-Tops-c-1738.html" }, ], "feedType": "both", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/shein-new-arrivals-bestsellers-trend-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categoryUrls": [ { "url": "https://us.shein.com/Women-Dresses-c-1727.html" }, { "url": "https://us.shein.com/Women-Tops-c-1738.html" } ], "feedType": "both", "maxItems": 20 }' | apify call jungle_synthesizer/shein-new-arrivals-bestsellers-trend-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/shein-new-arrivals-bestsellers-trend-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shein New Arrivals & Best-Sellers Trend Scraper", "description": "Scrape Shein category pages for new arrivals and best-sellers. Tracks rank,\nfirst_seen_date, rank_movement, pricing, and flash sales per run. For fashion\ntrend forecasting and dropship research. Powered by Bright Data Web Unlocker\n— the only proven path through Shein Halo anti-bot.\n", "version": "0.1", "x-build-id": "D52Ej5D0Tun4sfMAa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~shein-new-arrivals-bestsellers-trend-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-shein-new-arrivals-bestsellers-trend-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~shein-new-arrivals-bestsellers-trend-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-shein-new-arrivals-bestsellers-trend-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~shein-new-arrivals-bestsellers-trend-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-shein-new-arrivals-bestsellers-trend-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "resumeCursor": { "title": "Resume cursor (continue a previous run)", "type": "string", "description": "Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs)." }, "categoryUrls": { "title": "Category URLs", "type": "array", "description": "Shein category page URLs to scrape (must use the -c-.html format,\ne.g. https://us.shein.com/Women-Dresses-c-1727.html). Leave empty to use the\nbuilt-in default set of top US Shein categories (Women Dresses, Tops, Pants, Sets).\nSort direction is controlled by feedTypes — do not add ?sort= manually.\n", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "feedType": { "title": "Feed Type", "enum": [ "both", "new_arrival", "best_seller" ], "type": "string", "description": "Which trend feed to scrape. new_arrival = sorted by newest; best_seller = sorted by sales/popularity; both = fetch each category URL twice (default).", "default": "both" }, "region": { "title": "Region", "enum": [ "us", "uk", "de", "fr", "au", "ca" ], "type": "string", "description": "Shein storefront region for currency context. Derived from the URL domain if omitted.", "default": "us" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of product records to emit per run (0 = no limit). Applies across all pages/feeds combined.", "default": 100 } } }, "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 } } } } } } } } } } ```