# 🇨🇳 Weibo Hot Search Tracker · 微博热搜追踪 (`nexgendata/weibo-hot-search-tracker`) Actor Track the Weibo Hot Search list (微博热搜) live — China's #1 social trending barometer. Top-50 ranked keywords, heat score, category, 新/热/沸 flags, pinyin & best-effort English translation. Bloomberg / Hootsuite China alternative. - **URL**: https://apify.com/nexgendata/weibo-hot-search-tracker.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 weibo hot-search topic records 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 ## 🇨🇳🔥 Weibo Hot Search Tracker — China Trending Topics **The institutional-grade feed for the Weibo Hot Search list (微博热搜榜) — China's #1 real-time social-trending barometer.** Pulls the top 50 ranked keywords every run, with heat scores, category tags, 新/热/沸 status flags, pinyin transliteration, and best-effort English translation. Drop-in alternative to Bloomberg's China desk feed, Reuters Eikon's China sentiment overlay, and Hootsuite Insights China — at a fraction of the cost, with no contract and no minimum commitment. --- ### Why The Weibo Hot Search Matters Weibo (微博) is the closest thing China has to Twitter/X — except that the platform's "Hot Search" page (热搜榜) carries vastly more cultural, commercial, and political weight than any Western trending list. A topic that hits the top 5 of the Weibo hot-search list will, within minutes: - Trigger billions of impressions across WeChat group chats, Douyin and Xiaohongshu cross-posts - Wipe 5-15% off the share price of any company tagged in a negative trending topic - Force PRC government press offices to issue same-day clarifications when a sensitive story rises to the top three - Drive consumer-good SKUs to sell out on Tmall and JD.com within hours (the "Weibo bump") That signal is investable. Long-short equity funds use Weibo hot-search velocity as a daily consumer-sentiment factor. Brand managers at L'Oréal China, LVMH China, Nike China and every major MNC subsidiary run real-time crisis monitoring against the top-50 list because a PR disaster typically appears as a Weibo hot-search topic 6-18 hours before mainstream Chinese media picks it up. Sinologists and PRC-watch desks at think tanks, universities and embassies track the list as a censorship telemetry: which stories are amplified, which are quietly demoted, which 新 (new) flags become 沸 (boiling) within an hour. And quant macro shops use the heat-score distribution as a leading indicator for Hang Seng tech, A-share consumer, and CNY/USD sentiment moves. The problem: Weibo doesn't publish a clean API, the on-page render uses Sina's visitor-cookie token dance, and almost every commercial "China social listening" vendor charges \$15k-\$120k/year per seat for what is fundamentally a structured scrape of 50 rows of public JSON. This actor closes that gap. --- ### What You Get Run the actor and you receive a clean JSON dataset, one record per Weibo hot-search topic, with every field you'd expect plus the China-specific extras you need to integrate the feed into a multi-source pipeline: ```json { "rank": 1, "keyword": "联想确认成为英伟达H200中国分销商", "keyword_pinyin": "lian xiang que ren cheng wei ying wei da H 200 zhong guo fen xiao shang", "keyword_english_translation": "Lenovo confirmed as Nvidia H200 China distributor", "category": "tech", "heat_score": 2439113, "is_hot": true, "is_new": true, "weibo_url": "https://s.weibo.com/weibo?q=%E8%81%94%E6%83%B3%E7%A1%AE%E8%AE%A4%E6%88%90%E4%B8%BA%E8%8B%B1%E4%BC%9F%E8%BE%BEH200%E4%B8%AD%E5%9B%BD%E5%88%86%E9%94%80%E5%95%86&Refer=hot_search", "label_chinese": "新", "is_government_topic": false, "as_of_timestamp": "2026-05-14T08:14:22.000Z", "data_source": "weibo.com/ajax/side/hotSearch (realtime)" } ```` That's everything you need to: - Build a daily Chinese social-sentiment factor and back-test it against the CSI 300, the Hang Seng Tech index, or the USD/CNY pair - Run real-time brand-crisis monitoring against your own ticker, brand name, or product SKU - Track censorship and amplification telemetry across politics / society / celebrity categories - Feed a Chinese-language NER + entity-linking pipeline with the freshest trending entities every minute - Sync the dataset into Snowflake / BigQuery / Databricks via Apify's native warehouse integrations - Power a Slack / Teams / email digest of the top-10 PRC stories of the morning *** ### Input Filters | Input | Type | Description | |---|---|---| | `limit` | integer | Max trending topics to return (1–50). Use `10` for quick smoke tests, `50` for the full board. | | `category` | enum | `all`, `entertainment`, `society`, `politics`, `sports`, `tech`, `finance`, `celebrity`. | | `include_translation` | boolean | If true, fills `keyword_english_translation` via a free public translation API. Adds 1-2s per topic. | | `include_government_topics` | boolean | Include the 1-3 state-pinned hotgovs topics (typically Xi Jinping / PRC government announcements) at the top of the dataset. | | `proxyConfiguration` | proxy | Apify proxy. RESIDENTIAL recommended (Weibo applies geographic rate limits); the actor auto-falls-back to direct fetch if proxy negotiation fails. | Every property has a `default` and a `prefill` value, so you can run the actor without specifying any input. *** ### Use Cases For Institutional Capital #### Hedge funds — China consumer sentiment factor The aggregated heat-score distribution across the `finance` and `society` categories correlates meaningfully with next-day CSI 300 dispersion, single-name surprise (e.g. consumer staples earnings reactions), and Hang Seng Tech volatility. Pull the actor on a daily cron at 22:00 Beijing time and feed the top-50 heat-score vector into your factor model. #### Long-short equity desks — single-name PR risk A negative topic about a listed company (think: a viral Weibo post tagging a brand for a product-safety, advertising, or labour issue) routinely precedes a 5-15% intraday drawdown in the related ADR or H-share. Run a daily diff against your portfolio's brand-name watchlist and you have a no-effort, no-vendor-lock-in PR-risk alert layer. #### Brand marketing teams — real-time crisis monitoring For L'Oréal, Nestlé, Unilever, LVMH, Nike and every China-MNC subsidiary, Weibo is the PR battlefield. A 沸 (boiling) topic tagging your brand requires a press-office response within 90 minutes. This actor delivers that signal every run; pair it with Apify's scheduled-task feature for minute-by-minute coverage during sensitive product launches. #### Sinologists & PRC-watch desks — censorship & amplification telemetry Hot-search ranks are not neutral. Weibo, like all PRC platforms, applies algorithmic amplification (for state-aligned narratives, especially under the `hotgovs` block) and silent demotion (for sensitive topics that nonetheless still trend organically). Tracking the rank trajectory of `politics`-tagged topics, especially around major Party plenums or geopolitical events, surfaces the editorial line in real time. #### Quant signal research Use the canonical category tagging and the pinyin / English translation pair to back-test trending-topic NLP signals against PRC equity, FX, and bond returns. The heat-score is a numeric weight; the category split lets you build category-specific factors. *** ### Pricing — Pay Per Topic | Event | Cost | |---|---| | Actor start | **$0.01** | | Per Weibo hot-search topic returned | **$0.10** | A 10-topic smoke test costs **$1.01** total. A full 50-topic board pull costs **$5.01**. Run it hourly for a month and you're at ~$3,610 — still ~25× cheaper than a single Hootsuite Insights China seat, and ~100× cheaper than a Bloomberg China desk feed. No subscription, no minimum commitment, no annual contract negotiation. Pay only when you run. *** ### Comparison — Weibo Hot Search Tracker vs The Big Three | Capability | NexGenData Weibo Hot Search Tracker | Bloomberg China Desk Feed | Reuters Eikon China Sentiment | Hootsuite Insights China | |---|---|---|---|---| | **Annual cost** | Pay-per-run (~$1.01 / 10 topics) | $24,000+ / seat / year | $22,000+ / seat / year | $15,000+ / seat / year | | **Update frequency** | Live (every run) | 15-min lag | 30-min lag | 60-min lag | | **Top-50 hot-search coverage** | Yes (all 50 + state-pinned hotgovs) | Partial (curated top-10) | Partial (curated top-15) | Top-25 | | **Heat-score numeric** | Yes (raw Weibo `num`) | Aggregated index only | Aggregated index only | Yes | | **Category tagging** | 7 canonical EN categories + Weibo flag\_desc | English categories | Reuters topic codes | English categories | | **Pinyin transliteration** | Yes (every keyword) | No | No | No | | **English translation** | Yes (best-effort) | Yes | Yes | Yes | | **新 / 热 / 沸 flag surface** | Yes (raw + booleans) | No | No | No | | **State-pinned hotgovs surface** | Yes (separate from organic) | No | No | No | | **Deep-link to Weibo topic page** | Yes (`weibo_url`) | No | No | Partial | | **JSON / CSV export** | Yes (Apify dataset) | Bloomberg Terminal lock-in | Eikon Workspace lock-in | CSV | | **Native warehouse sync** | Yes (Snowflake / BQ / Databricks via Apify) | No | No | No | | **Contract required** | No | 12-month minimum | 12-month minimum | 12-month minimum | For brand-marketing teams running PR-crisis monitoring, the Hootsuite seat is the closest comp — but Hootsuite caps you at 25 trending topics, doesn't expose the raw heat-score, and doesn't separate state-pinned hotgovs from organic trends. For hedge funds, the actor is a strict superset of what Bloomberg China and Reuters Eikon emit on their respective "China social" tabs, at three orders of magnitude lower cost. *** ### Data Sources & Reliability 1. **Weibo public ajax endpoint** (primary): `weibo.com/ajax/side/hotSearch`. Public, unauthenticated, returns the full 50-entry realtime list plus 1-3 state-pinned `hotgovs` topics with rich metadata. This is the same endpoint Weibo's own website uses to render the side-panel hot-search widget — anti-bot risk is medium, the actor backs off gracefully and supports residential proxy rotation. 2. **Direct-fetch fallback**: if the Apify proxy negotiation fails or the chosen IP is geo-blocked, the actor retries via the runner's direct IP. Weibo rarely blocks cloud IPs on this specific endpoint. 3. **Best-effort translation**: `translate.googleapis.com/translate_a/single` (free, unauthenticated, low-volume safe). Translation is non-essential and degrades gracefully — if Google rate-limits, the `keyword_english_translation` field is null and the rest of the record is still emitted. 4. **Pinyin transliteration**: bundled offline via the `pypinyin` library — no external dependency, runs deterministically, never rate-limits. *** ### Cross-Reference Our Other China & Trending-Data Actors The Weibo hot-search feed is one slice of a full China-and-trending data stack. Pair this actor with any of our sister actors for richer pipelines: - **🇨🇳📺 [Bilibili Video Search](https://apify.com/nexgendata/bilibili-video-search)** — search and rank Bilibili videos by view count, like count, and channel. The Bilibili equivalent of the Weibo hot-search list for video-native PRC content (Gen-Z / ACG / education). - **🇨🇳📈 [China Trends Tracker](https://apify.com/nexgendata/china-trends-tracker)** — aggregated trending feed across Baidu, Toutiao, Zhihu, and Xiaohongshu. Use to triangulate the Weibo hot-search list against text-search and Q\&A-platform trends. - **🇨🇳 [Eastmoney China Stock Screener](https://apify.com/nexgendata/eastmoney-china-stock-screener)** — onshore A-share screener (SSE + SZSE) with live prices and fundamentals. Cross-reference a finance-category Weibo trend against its underlying single-name equity. - **🇭🇰 [HKEX Hang Seng Stock Screener](https://apify.com/nexgendata/hkex-hang-seng-stock-screener)** — Hong Kong-listed equities including HKEX dual listings of every Chinese ADR. Most listed Chinese companies that get tagged in a Weibo hot-search story are HKEX-tradable. - **🇨🇳🇺🇸 [Chinese ADRs Stock Screener](https://apify.com/nexgendata/chinese-adrs-stock-screener)** — US-listed Chinese ADRs (NYSE + NASDAQ), with VIE-structure flag and HKEX dual-listing ticker mapping. Trade the Weibo sentiment via the ADR. - **🛠️ [Finance MCP Server](https://apify.com/nexgendata/finance-mcp-server)** — Model Context Protocol server that exposes our entire fleet of equity, FX, and trending-data actors to Claude, Cursor, and other LLM clients. Drop the Weibo feed into your agent workflow. All six integrate identically: same JSON output, same `?build=latest` pinning, same Apify dataset format. Stitch them into a single pipeline via Apify's webhook chaining or use the MCP server to call them ad-hoc from inside an LLM. *** ### How To Run **Apify Console** — paste your filter inputs, hit Run, download the dataset as JSON or CSV. **Apify API** (Python): ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("nexgendata/weibo-hot-search-tracker").call(run_input={ "limit": 50, "category": "all", "include_translation": True, "include_government_topics": True, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["rank"], item["keyword"], item["heat_score"]) ``` **Schedule it** — pair the actor with an Apify scheduled task. Hourly cadence (`0 * * * *`) gives you 24 snapshots a day and a complete view of how topics trend in and out across the day. For brand-crisis monitoring during a product launch, every 5 minutes (`*/5 * * * *`) is the typical setup. *** ### FAQ **How fresh is the data?** Live. The Weibo ajax endpoint refreshes roughly once a minute on Weibo's side; you get the latest snapshot each run. **What's the difference between `realtime` and `hotgovs`?** `realtime` is the 50-entry organic hot-search list ranked by heat score. `hotgovs` is a 1-3 entry block of state-pinned topics (almost always Xi Jinping or PRC government announcements) that Weibo surfaces above the organic list. The actor returns both with `is_government_topic: true/false` so you can filter cleanly. **Why does my pinyin look slightly different from another service?** `pypinyin` emits the most-common reading without tone marks. For Chinese proper nouns with regional variants (e.g. Cantonese names or Min Nan place names) the romanisation falls back to standard Mandarin — adjust client-side if your downstream pipeline needs Wade-Giles or Yale. **Can I get historical hot-search data?** Not yet — this actor returns a live snapshot. If you schedule it hourly and pipe each run's dataset to your warehouse you build a longitudinal history yourself for ~$3,610/month at full 50-topic-hourly cadence. **Does it work with Apify webhooks?** Yes. Native Apify webhook fires on every run completion; pipe the dataset into Slack, S3, Snowflake or your in-house Kafka topic. **Why is `category` sometimes generic?** Weibo only tags a subset of topics with `flag_desc`. For untagged topics the actor applies a Chinese-keyword heuristic to classify into one of seven canonical categories — when uncertain it defaults to `society`, the modal category for organic Weibo trends. *** ### Built By NexGenData We build data infrastructure for global equity desks, brand-marketing teams, and PRC-watch researchers. 130+ actors live on Apify covering US, China, Hong Kong, Japan, Korea, EU, and emerging markets — plus our Finance MCP Server for LLM-native integration. If you're building a fund-grade data pipeline and want our actors bundled, white-labelled, or extended with custom fields — reach out. **Get free Apify credits & save 30% on platform fees:** # Actor input Schema ## `limit` (type: `integer`): Maximum number of Weibo hot-search trending topics to return, ordered by rank (1 = hottest). The Weibo realtime hot-search list (微博热搜榜 / weibo.com/ajax/side/hotSearch) emits exactly 50 ranked topics — set to 50 to capture the full board, 10 for a quick smoke test. ## `category` (type: `string`): Optional Weibo category filter. Weibo tags each hot topic with a Chinese category descriptor (flag\_desc): 综艺 entertainment/variety, 社会 society, 时政 politics, 体育 sports, 科技 tech, 财经 finance, 娱乐 celebrity. Choose one or 'all' to skip filtering. ## `include_translation` (type: `boolean`): If true, the actor calls a free public translation endpoint (Google Translate `translate.googleapis.com`) to fill `keyword_english_translation` for each trending topic. Adds 1-2s per topic. Disable to skip translation calls and return only Chinese + pinyin (cheaper and more reliable). ## `include_government_topics` (type: `boolean`): Weibo separately surfaces 1-3 state-pinned 'hotgovs' topics (typically Xi Jinping / PRC government announcements) above the realtime list. Set true to include them at the top of the dataset; false to return only the 50 organic realtime hot-search entries. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. Residential is recommended since the Weibo endpoint is hosted in mainland China and applies geographic rate limits; the actor also falls back to direct fetch if proxy negotiation fails. Defaults to RESIDENTIAL group. ## Actor input object example ```json { "limit": 50, "category": "all", "include_translation": true, "include_government_topics": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "limit": 50, "category": "all", "include_translation": true, "include_government_topics": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/weibo-hot-search-tracker").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 = { "limit": 50, "category": "all", "include_translation": True, "include_government_topics": True, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/weibo-hot-search-tracker").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 '{ "limit": 50, "category": "all", "include_translation": true, "include_government_topics": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call nexgendata/weibo-hot-search-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/weibo-hot-search-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🇨🇳 Weibo Hot Search Tracker · 微博热搜追踪", "description": "Track the Weibo Hot Search list (微博热搜) live — China's #1 social trending barometer. Top-50 ranked keywords, heat score, category, 新/热/沸 flags, pinyin & best-effort English translation. Bloomberg / Hootsuite China alternative.", "version": "0.0", "x-build-id": "Gilv0dZg1JoXTZ7hf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~weibo-hot-search-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-weibo-hot-search-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~weibo-hot-search-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-weibo-hot-search-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~weibo-hot-search-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-weibo-hot-search-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "limit": { "title": "Limit (max trending topics)", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of Weibo hot-search trending topics to return, ordered by rank (1 = hottest). The Weibo realtime hot-search list (微博热搜榜 / weibo.com/ajax/side/hotSearch) emits exactly 50 ranked topics — set to 50 to capture the full board, 10 for a quick smoke test.", "default": 50 }, "category": { "title": "Category filter", "enum": [ "all", "entertainment", "society", "politics", "sports", "tech", "finance", "celebrity" ], "type": "string", "description": "Optional Weibo category filter. Weibo tags each hot topic with a Chinese category descriptor (flag_desc): 综艺 entertainment/variety, 社会 society, 时政 politics, 体育 sports, 科技 tech, 财经 finance, 娱乐 celebrity. Choose one or 'all' to skip filtering.", "default": "all" }, "include_translation": { "title": "Include best-effort English translation", "type": "boolean", "description": "If true, the actor calls a free public translation endpoint (Google Translate `translate.googleapis.com`) to fill `keyword_english_translation` for each trending topic. Adds 1-2s per topic. Disable to skip translation calls and return only Chinese + pinyin (cheaper and more reliable).", "default": true }, "include_government_topics": { "title": "Include government/state-pinned topics (hotgovs)", "type": "boolean", "description": "Weibo separately surfaces 1-3 state-pinned 'hotgovs' topics (typically Xi Jinping / PRC government announcements) above the realtime list. Set true to include them at the top of the dataset; false to return only the 50 organic realtime hot-search entries.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. Residential is recommended since the Weibo endpoint is hosted in mainland China and applies geographic rate limits; the actor also falls back to direct fetch if proxy negotiation fails. Defaults to RESIDENTIAL group.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```