# Xiaohongshu Trending Hot List Scraper (`ethereal_wool/xiaohongshu-hot-list-scraper`) Actor Scrape the Xiaohongshu (RED / Little Red Book) trending hot list: discovery search terms with heat score, rank change, and search links. - **URL**: https://apify.com/ethereal\_wool/xiaohongshu-hot-list-scraper.md - **Developed by:** [Jackie Chen](https://apify.com/ethereal_wool) (community) - **Categories:** Social media, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Xiaohongshu Trending Hot List Scraper Get the Xiaohongshu (小红书 / RED, Little Red Book) trending hot list as clean structured data. Each run returns the platform's current search-discovery terms ranked by heat, with a parsed numeric heat score and a ready search link for every term. > **Unofficial / independent tool.** This Actor is not affiliated with, authorized, sponsored, or endorsed by Xiaohongshu. It retrieves publicly available data through a third-party API. You are responsible for using the output in compliance with Xiaohongshu's terms and all applicable laws. ### What this Actor does This Actor focuses on one job: fetch the xiaohongshu (red) trending hot list of search discovery terms on **xiaohongshu.com**. Xiaohongshu is China's leading lifestyle, beauty and shopping-discovery community, so its hot list is a strong early signal for consumer and product trends. - Returns the live Xiaohongshu discovery hot list in rank order. - Parses the human-readable heat score (e.g. "918万") into a usable number. - Reports each term's rank change versus the previous snapshot. - Builds a Xiaohongshu search link for every trending term. ### Input | Field | Type | Description | | --- | --- | --- | | `maxItems` | integer | Maximum records to return (caps your spend). | | `proxyConfiguration` | object | Optional Apify Proxy settings. | #### Example input ```json { "maxItems": 10 } ```` ### Output The Actor returns one dataset item per trending search term. Each item is a flat, analysis-ready JSON record. Example of a real returned item: ```json { "title": "用万能旅行拍照姿势美美出片", "score": 9180000, "rankChange": 0, "wordType": "热", "type": "normal", "id": "dora_2178732", "url": "https://www.xiaohongshu.com/search_result?keyword=用万能旅行拍照姿势美美出片", "source": "xiaohongshu-hot-list" } ``` #### Output fields | Field | Description | | --- | --- | | `title` | Trending discovery term | | `score` | Heat score (numeric, parsed from e.g. 918万) | | `rankChange` | Change in rank vs the previous snapshot | | `wordType` | Heat tag (热 hot, 新 new, etc.) | | `type` | Item type classification | | `url` | Canonical link to the item on the source site | | `id` | Stable identifier for the item (when available) | | `source` | Which list / query the item came from | ### How it works - **Direct API, no browser.** Data is fetched over HTTP — no headless browser, no login, no cookies to manage. - **Honest failure.** Transient upstream blocks (rate limits, edge protection) are retried with exponential backoff. If the source stays unavailable, the run fails loudly instead of returning a misleading empty dataset. - **De-duplicated.** Items are de-duplicated by their identifier within a run. - **Pay per result.** You are billed for the rows actually delivered; `maxItems` is a hard cap on both volume and spend. ### Use cases - Spot emerging beauty, travel, food and lifestyle trends before they peak. - Inform e-commerce product research and content strategy for the China market. - Track how fast a topic is rising or cooling via the rank-change field. - Power a competitive-intelligence or social-listening pipeline. ### Integration Run it from the Apify Console, on a schedule, or call it programmatically via the Apify API, the JavaScript / Python clients, or MCP. Output can be exported as JSON, CSV, or Excel, or pushed to your own storage. ### FAQ **Do I need a Xiaohongshu account, cookies, or to log in?** No. The Actor only reads publicly available data. **How am I billed?** Pay-per-result: you pay only for the items returned, and `maxItems` caps the total. **Can I schedule it or call it from my own code?** Yes — use Apify Schedules, the REST API, the official clients, or MCP. **Is this an official Xiaohongshu product?** No. It is an independent tool and is not affiliated with Xiaohongshu. # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of records to return. Caps your spend. ## `proxyConfiguration` (type: `object`): Optional. Route API calls through Apify Proxy to vary the source IP. ## Actor input object example ```json { "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("ethereal_wool/xiaohongshu-hot-list-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 = { "proxyConfiguration": { "useApifyProxy": False } } # Run the Actor and wait for it to finish run = client.actor("ethereal_wool/xiaohongshu-hot-list-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 '{ "proxyConfiguration": { "useApifyProxy": false } }' | apify call ethereal_wool/xiaohongshu-hot-list-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ethereal_wool/xiaohongshu-hot-list-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Xiaohongshu Trending Hot List Scraper", "description": "Scrape the Xiaohongshu (RED / Little Red Book) trending hot list: discovery search terms with heat score, rank change, and search links.", "version": "0.1", "x-build-id": "Qlub11Hd5tEJcuFnP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ethereal_wool~xiaohongshu-hot-list-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ethereal_wool-xiaohongshu-hot-list-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/ethereal_wool~xiaohongshu-hot-list-scraper/runs": { "post": { "operationId": "runs-sync-ethereal_wool-xiaohongshu-hot-list-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/ethereal_wool~xiaohongshu-hot-list-scraper/run-sync": { "post": { "operationId": "run-sync-ethereal_wool-xiaohongshu-hot-list-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", "properties": { "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of records to return. Caps your spend.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Route API calls through Apify Proxy to vary the source IP.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```