# Xiaohongshu User Posts Scraper (`ethereal_wool/xiaohongshu-user-posts-scraper`) Actor Export the latest public notes from Xiaohongshu (RedNote) creators by user ID, including text, type, engagement, media metadata and links. - **URL**: https://apify.com/ethereal\_wool/xiaohongshu-user-posts-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 $10.00 / 1,000 creator posts 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 ## Xiaohongshu User Posts Scraper Fetch the latest public notes from specific Xiaohongshu creators without mixing search, detail or commerce operations into the run. Each creator ID returns its current first page of posts with text, type, engagement and direct links. > **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 latest public notes posted by one or more xiaohongshu creators on **xiaohongshu.com**. The single-purpose input is designed for scheduled creator monitoring and agent pipelines that already know which accounts matter. - Fetches the latest public note page for each creator ID. - Returns note title, text, type and creator identity. - Includes likes, comments, collects, shares and available views. - Adds a canonical Xiaohongshu link for every note. ### Input | Field | Type | Description | | --- | --- | --- | | `userIds` | array | Creator user IDs from Xiaohongshu profile URLs or search output. Returns the latest note page for each creator. | | `maxItems` | integer | Maximum records to return (caps your spend). | | `proxyConfiguration` | object | Optional Apify Proxy settings. | #### Example input ```json { "userIds": [ "5a34cd1811be103ff72f06a2" ], "maxItems": 20 } ```` ### Output The Actor returns one dataset item per creator note. Each item is a flat, analysis-ready JSON record. Example of a real returned item: ```json { "noteId": "69d8ab67000000022200b884", "title": "夏日护肤分享", "description": "清爽防晒和保湿步骤", "noteType": "video", "author": "护肤研究所", "authorId": "5a34cd1811be103ff72f06a2", "likeCount": 1280, "commentCount": 86, "collectCount": 430, "shareCount": 52, "viewCount": 9200, "publishedAt": 1783728000, "ipLocation": "上海", "id": "69d8ab67000000022200b884", "url": "https://www.xiaohongshu.com/explore/69d8ab67000000022200b884", "source": "xiaohongshu-user-posts" } ``` #### Output fields | Field | Description | | --- | --- | | `noteId` | Xiaohongshu note ID | | `title` | Note title | | `description` | Note text | | `noteType` | Image or video note | | `author` | Creator display name | | `authorId` | Creator user ID | | `likeCount` | Like count | | `commentCount` | Comment count | | `collectCount` | Collect count | | `shareCount` | Share count | | `viewCount` | View count when available | | `publishedAt` | Published timestamp | | `ipLocation` | Published location when available | | `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.** Each delivered row charges one `result` event ($0.01); `maxItems` is a hard cap on both volume and spend. ### Use cases - Monitor selected creators for newly published notes. - Compare posting cadence and engagement across a creator shortlist. - Collect creator content for campaign and competitor research. - Feed creator updates into scheduled agent workflows. ### 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?** $0.01 per returned item; `maxItems` caps the total. **Can I schedule it or call it from my own code?** Yes — use Apify Schedules, the REST API, the official clients, or MCP. **Is this an official Xiaohongshu product?** No. It is an independent tool and is not affiliated with Xiaohongshu. # Actor input Schema ## `userIds` (type: `array`): Creator user IDs from Xiaohongshu profile URLs or search output. Returns the latest note page for each creator. ## `maxItems` (type: `integer`): Maximum number of records to return. Caps your spend. ## `proxyConfiguration` (type: `object`): Optional. Route API calls through Apify Proxy to vary the source IP. ## Actor input object example ```json { "userIds": [ "5a34cd1811be103ff72f06a2" ], "maxItems": 20, "proxyConfiguration": { "useApifyProxy": false } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "userIds": [ "5a34cd1811be103ff72f06a2" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("ethereal_wool/xiaohongshu-user-posts-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "userIds": ["5a34cd1811be103ff72f06a2"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("ethereal_wool/xiaohongshu-user-posts-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 '{ "userIds": [ "5a34cd1811be103ff72f06a2" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call ethereal_wool/xiaohongshu-user-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ethereal_wool/xiaohongshu-user-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Xiaohongshu User Posts Scraper", "description": "Export the latest public notes from Xiaohongshu (RedNote) creators by user ID, including text, type, engagement, media metadata and links.", "version": "0.1", "x-build-id": "eACnPJbdboeU7XHde" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ethereal_wool~xiaohongshu-user-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ethereal_wool-xiaohongshu-user-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ethereal_wool~xiaohongshu-user-posts-scraper/runs": { "post": { "operationId": "runs-sync-ethereal_wool-xiaohongshu-user-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ethereal_wool~xiaohongshu-user-posts-scraper/run-sync": { "post": { "operationId": "run-sync-ethereal_wool-xiaohongshu-user-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "userIds": { "title": "Creator user IDs", "type": "array", "description": "Creator user IDs from Xiaohongshu profile URLs or search output. Returns the latest note page for each creator.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of records to return. Caps your spend.", "default": 20 }, "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 } } } } } } } } } } ```