# Xiaohongshu Comments Scraper (`ethereal_wool/xiaohongshu-comments-scraper`) Actor Scrape top-level comments from Xiaohongshu (RedNote) notes by ID, including text, author, likes, time, IP location and note links. - **URL**: https://apify.com/ethereal\_wool/xiaohongshu-comments-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 $2.00 / 1,000 comments 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 Comments Scraper Collect the current top-level discussion under specific Xiaohongshu notes. Provide note IDs and receive clean comment rows with text, author identity, likes, time, location and a link back to the parent note. > **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 top-level comments for one or more xiaohongshu notes by note id on **xiaohongshu.com**. This Actor prices each delivered comment directly instead of hiding an extra paid API call inside a general note-search run. - Fetches the current top-level comment page for each note ID. - Returns comment text and author identity. - Includes likes, publication time, IP location and reply count. - Links every comment back to its parent Xiaohongshu note. ### Input | Field | Type | Description | | --- | --- | --- | | `noteIds` | array | Note IDs from Xiaohongshu URLs or search output. Returns the current top-level comment page for each note. | | `maxItems` | integer | Maximum records to return (caps your spend). | | `proxyConfiguration` | object | Optional Apify Proxy settings. | #### Example input ```json { "noteIds": [ "69d8ab67000000022200b884" ], "maxItems": 10 } ```` ### Output The Actor returns one dataset item per comment. Each item is a flat, analysis-ready JSON record. Example of a real returned item: ```json { "commentId": "comment-sample-1", "noteId": "69d8ab67000000022200b884", "content": "这个防晒会搓泥吗？", "author": "小夏", "authorId": "user-sample-1", "likeCount": 18, "publishedAt": 1783728600, "ipLocation": "广东", "subCommentCount": 3, "id": "comment-sample-1", "url": "https://www.xiaohongshu.com/explore/69d8ab67000000022200b884", "source": "xiaohongshu-comments" } ``` #### Output fields | Field | Description | | --- | --- | | `commentId` | Comment ID | | `noteId` | Parent note ID | | `content` | Comment text | | `author` | Comment author | | `authorId` | Comment author user ID | | `likeCount` | Comment like count | | `publishedAt` | Comment timestamp | | `ipLocation` | Comment IP location when available | | `subCommentCount` | Reply count | | `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 ($0.002); `maxItems` is a hard cap on both volume and spend. ### Use cases - Analyze customer language and sentiment under product notes. - Collect objections and questions for market research. - Monitor discussion around campaigns or competitor posts. - Feed comment evidence into social-listening agents. ### 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?** $0.002 per returned item; `maxItems` caps the total. **Can I schedule it or call it from my own code?** Yes — use Apify Schedules, the REST API, the official clients, or MCP. **Is this an official Xiaohongshu product?** No. It is an independent tool and is not affiliated with Xiaohongshu. # Actor input Schema ## `noteIds` (type: `array`): Note IDs from Xiaohongshu URLs or search output. Returns the current top-level comment page for each note. ## `maxItems` (type: `integer`): Maximum number of records to return. Caps your spend. ## `proxyConfiguration` (type: `object`): Optional. Route API calls through Apify Proxy to vary the source IP. ## Actor input object example ```json { "noteIds": [ "69d8ab67000000022200b884" ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "noteIds": [ "69d8ab67000000022200b884" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("ethereal_wool/xiaohongshu-comments-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "noteIds": ["69d8ab67000000022200b884"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("ethereal_wool/xiaohongshu-comments-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 '{ "noteIds": [ "69d8ab67000000022200b884" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call ethereal_wool/xiaohongshu-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ethereal_wool/xiaohongshu-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Xiaohongshu Comments Scraper", "description": "Scrape top-level comments from Xiaohongshu (RedNote) notes by ID, including text, author, likes, time, IP location and note links.", "version": "0.1", "x-build-id": "c4D7XleKogCHw9y3h" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ethereal_wool~xiaohongshu-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ethereal_wool-xiaohongshu-comments-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ethereal_wool~xiaohongshu-comments-scraper/runs": { "post": { "operationId": "runs-sync-ethereal_wool-xiaohongshu-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ethereal_wool~xiaohongshu-comments-scraper/run-sync": { "post": { "operationId": "run-sync-ethereal_wool-xiaohongshu-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "noteIds": { "title": "Note IDs", "type": "array", "description": "Note IDs from Xiaohongshu URLs or search output. Returns the current top-level comment page for each note.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of records to return. Caps your spend.", "default": 10 }, "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 } } } } } } } } } } ```