# Weibo Hot Search Scraper (`gentle_cloud/weibo-hot-search-scraper`) Actor Scrape real-time trending topics from Weibo (微博热搜). Get top 50 hot search keywords with rankings, hot values, categories, and engagement scores. No login required. - **URL**: https://apify.com/gentle\_cloud/weibo-hot-search-scraper.md - **Developed by:** [Monkey Coder](https://apify.com/gentle_cloud) (community) - **Categories:** Social media, News, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 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 ## Weibo Hot Search Scraper Scrape real-time trending topics from **Weibo (微博)**, China's largest microblogging platform. Get the top 50 hot search keywords with rankings, hot values, categories, engagement scores, and more — **no login required**. ### ✨ Features - **Real-time Hot Search** — Top 50 trending topics updated in real-time - **Detailed Metrics** — Hot value, read/discuss/search scores (0-10 scale) - **Category Classification** — Each topic tagged with category (数码, 体育, 娱乐, etc.) - **On-board Timing** — When each topic first appeared on the hot list - **No Auth Required** — Uses Weibo's public API, no cookies or login needed - **Scheduled Monitoring** — Run on schedule to track trending topic changes over time ### 📖 How to Use 1. Select **Mode**: - **Hot Band (Detailed)** — Includes scores, categories, on-board time (recommended) - **Hot Search (Simple)** — Basic ranking + hot value only - **Both** — Get data from both endpoints 2. Click **Save & Start** 3. Results show the current top 50 trending topics on Weibo ### 📦 Sample Output ```json { "rank": 1, "keyword": "降噪耳机受害者出现", "hot_value": 1906379, "category": "数码", "label": "", "source": "hot_band", "onboard_time": "2026-05-12T02:15:20+00:00", "transparency_tag": "高热讨论", "field_tag": "数码领域热度TOP1", "read_score": 9.7, "discuss_score": 9.4, "search_score": 9.4, "fetched_at": "2026-05-12T06:30:00+00:00" } ```` ### ⚙️ Input Options | Field | Type | Default | Description | |-------|------|---------|-------------| | Mode | Select | Hot Band | Which endpoint to query | | Include Scores | Boolean | `true` | Include read/discuss/search scores | ### 📝 Notes - **Update frequency**: Weibo hot search updates every few minutes - **Scheduling**: Set up a scheduled run (e.g., every 15 minutes) to track trends over time - **50 topics per run**: Each endpoint returns exactly 50 trending topics - **Scores**: Read/Discuss/Search scores range 0–10, only available in Hot Band mode - **Categories**: Include 数码, 体育, 娱乐, 国内时政, 社会, 综艺, 游戏, etc. # Actor input Schema ## `mode` (type: `string`): Which hot search data to fetch. 'hot\_band' includes detailed scores and category info. ## `include_scores` (type: `boolean`): Include read/discuss/search scores (only available in hot\_band mode). ## Actor input object example ```json { "mode": "hot_band", "include_scores": true } ``` # 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 = { "mode": "hot_band" }; // Run the Actor and wait for it to finish const run = await client.actor("gentle_cloud/weibo-hot-search-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 = { "mode": "hot_band" } # Run the Actor and wait for it to finish run = client.actor("gentle_cloud/weibo-hot-search-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 '{ "mode": "hot_band" }' | apify call gentle_cloud/weibo-hot-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gentle_cloud/weibo-hot-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Weibo Hot Search Scraper", "description": "Scrape real-time trending topics from Weibo (微博热搜). Get top 50 hot search keywords with rankings, hot values, categories, and engagement scores. No login required.", "version": "0.0", "x-build-id": "ywzxfdVIAmJ8WZx0X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gentle_cloud~weibo-hot-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gentle_cloud-weibo-hot-search-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/gentle_cloud~weibo-hot-search-scraper/runs": { "post": { "operationId": "runs-sync-gentle_cloud-weibo-hot-search-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/gentle_cloud~weibo-hot-search-scraper/run-sync": { "post": { "operationId": "run-sync-gentle_cloud-weibo-hot-search-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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "hot_band", "hot_search", "both" ], "type": "string", "description": "Which hot search data to fetch. 'hot_band' includes detailed scores and category info." }, "include_scores": { "title": "Include Scores", "type": "boolean", "description": "Include read/discuss/search scores (only available in hot_band mode).", "default": true } } }, "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 } } } } } } } } } } ```