# Zhihu Q\&A Tracker - China Hot List & Knowledge Mining (`nexgendata/zhihu-qa-tracker`) Actor Scrape Zhihu (知乎), China's Quora: the daily hot list plus keyword Q\&A search. Each record has the question, top-answer excerpt, voteup count, view count and category. For China social listening, consumer research and brand monitoring. No CN account needed. - **URL**: https://apify.com/nexgendata/zhihu-qa-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, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 zhihu q\&a 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 ## 🇨🇳 Zhihu Q&A Tracker — Hot List & Knowledge-Mining for China Research **Pull Zhihu (知乎) — China's Quora — as structured data: the daily hot list (热榜) plus keyword-driven Q&A search, each record carrying the question, top-answer excerpt, voteup count, view count and category.** Zhihu is where mainland China goes for long-form, expert-leaning answers — the highest-signal Chinese surface for *why* people think something, not just *that* a topic is trending. This actor turns Zhihu's hot list and content search into clean JSON for China social-listening, consumer research and brand-monitoring work, without you needing a Zhihu account, a Chinese phone number or a CN VPN. Built for market researchers, consumer-insight teams, brand monitors and offshore China-watchers who want the Zhihu signal as rows in a dataset, not a screenshot. --- ### What you can do with it - **Consumer & market research** — mine high-voteup answers for genuine expert opinion on a product, category or brand in China. - **Brand monitoring** — run keyword search on your brand / competitors and read the top-answer excerpt and voteup count to gauge sentiment and depth of discussion. - **Trend tracking / social listening** — capture the daily hot list (`mode: "hot"`) on a schedule to see what questions China is asking right now. - **Offshore China-watching** — read long-form Chinese knowledge content surfaced and categorised, filterable by voteup quality threshold. --- ### What you get per record | Field | Type | Description | |---|---|---| | `question_id` | string | Zhihu question ID | | `question_title` | string | The question (verbatim Chinese) | | `question_url` | string | Canonical `zhihu.com/question/{id}` URL | | `category` | string | Canonical category classifier: `tech` / `finance` / `business` / `education` / `career` / `lifestyle` / `health` / `entertainment` / `science` / `politics` | | `answer_count` | int \| null | Number of answers on the question, when surfaced | | `view_count` | int \| null | Question view / heat metric, when surfaced | | `top_answer_excerpt` | string \| null | Up to 500 chars of the highest-voted answer (HTML stripped) | | `top_answer_author` | string \| null | Handle of the top answer's author (`匿名用户` if anonymous) | | `top_answer_voteup_count` | int \| null | Voteup count of the top answer — Zhihu's strongest quality signal | | `is_hot` | bool | True if the record appeared on Zhihu's hot list | | `created_at` | string \| null | Question creation time, when surfaced | | `data_source` | string | Provenance — exact probe path used (e.g. `api.zhihu.com/topstory/hot-list`, `zhihu.com/hot (initialData)`, `zhihu.com/search`) | Most metric fields are nullable on purpose — Zhihu's anti-bot wall means not every path exposes every field on every run. --- ### Input | Parameter | Type | Default | Description | |---|---|---|---| | `mode` | string | `both` | `hot` = daily hot list only; `search` = keyword search only; `both` = hot list, then top up with keyword search | | `keywords` | array | `["人工智能","新能源汽车","投资"]` | Search terms (Chinese gives native-quality hits). Ignored when `mode: "hot"` | | `categories` | array | `["tech","finance","business"]` | Restrict output to these category slugs. Empty = no filter | | `limit` | integer | 30 | Max Q&A records (1–500) | | `min_voteup` | integer | 0 | Drop records whose top answer has fewer than N voteups (0 = keep all) | | `include_hot_only` | boolean | false | When true, keep only records that appeared on the hot list | | `proxyConfiguration` | object | RESIDENTIAL | Apify proxy. RESIDENTIAL strongly recommended — Zhihu blocks datacenter IPs | #### Sample input ```json { "mode": "both", "keywords": ["人工智能", "新能源汽车", "投资"], "categories": ["tech", "finance", "business"], "limit": 30, "min_voteup": 0, "include_hot_only": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Sample output (truncated, schema-accurate) ```json [ { "question_id": "650000001", "question_title": "如何看待新能源汽车 2026 年的价格战？", "question_url": "https://www.zhihu.com/question/650000001", "category": "finance", "answer_count": 412, "view_count": 3800000, "top_answer_excerpt": "价格战的本质是产能过剩下的份额博弈……（节选）", "top_answer_author": "汽车行业分析师", "top_answer_voteup_count": 5821, "is_hot": true, "created_at": "2026-04-02T09:15:00Z", "data_source": "api.zhihu.com/topstory/hot-list" } ] ``` *** ### How it gets the data Zhihu is mainland-hosted and applies aggressive anti-bot detection (403 / interstitial captcha / empty payloads to datacenter IPs). The actor uses a probe waterfall so one blocked path does not kill the run: 1. **Mobile API hot list** — `api.zhihu.com/topstory/hot-list`. 2. **Mobile API search** — `api.zhihu.com/search_v3` for keyword queries. 3. **Public hot-list pages** — `zhihu.com/hot` and `zhihu.com/billboard`, parsing the embedded `initialData` blob. 4. **Public content search** — `zhihu.com/search?type=content`. 5. **Question-detail enrichment** — `zhihu.com/question/{id}` to fill in answer count, top-answer excerpt, author and voteup. 6. **Maintenance-stub fallback** — a single `status: "maintenance"` row if every path is blocked, so pipelines never crash. All paths run behind Apify's RESIDENTIAL proxy pool by default. *** ### FAQ **Can I scrape Zhihu without an account or Chinese phone number?** Yes. The actor runs server-side behind Apify proxies and returns JSON — no Zhihu login, phone number or VPN on your side. **What is Zhihu?** Zhihu (知乎) is China's largest long-form Q\&A / knowledge community — the closest mainland equivalent to Quora, but with far deeper expert participation. **How do I get only the trending hot list?** Set `mode: "hot"` (or `include_hot_only: true`) to keep only hot-list questions and drop keyword-search noise. **How do I filter for high-quality answers?** Use `min_voteup` — 100+ usually means substantive expert content, 1000+ usually means a viral / canonical answer. **How fresh is the data?** Each run captures the hot list / search live and the record's `data_source` shows the exact path used. The actor has no internal scheduler — schedule it in Apify for a continuous feed. *** ### Related actors — NexGenData China social-listening fleet Pair Zhihu with the rest of the NexGenData Chinese-social fleet for full cross-platform coverage: - **[Weibo Hot Search Tracker](https://apify.com/nexgendata/weibo-hot-search-tracker)** — China's #1 social-trending barometer (微博热搜榜): the fast real-time counterpart to Zhihu's long-form signal. - **[RedNote (Xiaohongshu) Scraper](https://apify.com/nexgendata/rednote-scraper)** — trending posts, feeds and notes from Xiaohongshu (小红书 / RedNote) for beauty/fashion/lifestyle consumer intent. - **[Bilibili Video Search](https://apify.com/nexgendata/bilibili-video-search)** — keyword search across Bilibili (B站), the long-form video, gaming and education hub of mainland China. - **[Douyin Trending Tracker](https://apify.com/nexgendata/douyin-trending-tracker)** — the live Douyin (抖音 / Chinese TikTok) hot list for short-video trend signal. - **[Kuaishou Trending Tracker](https://apify.com/nexgendata/kuaishou-trending-tracker)** — trending short-video signal from Kuaishou (快手), skewing lower-tier-city audiences. - **[Douban Tracker](https://apify.com/nexgendata/douban-tracker)** — China movie/TV ratings and hot lists from Douban (豆瓣), the cultural-taste signal. - **[China Trends Tracker](https://apify.com/nexgendata/china-trends-tracker)** — cross-platform Chinese trend roll-up (Weibo / Baidu / Toutiao / Douyin). - **[Chinese Social Signals MCP](https://apify.com/nexgendata/chinese-social-signals-mcp)** — MCP server that plugs the whole Chinese-social fleet directly into Claude, ChatGPT and Cursor. *** ### Notes & limits - **Residential proxy strongly recommended.** Datacenter IPs are blocked / captcha-gated; the default proxy group is RESIDENTIAL. - **Maintenance fallback is by design.** A `status: "maintenance"` row means the feed was temporarily blocked — retry shortly. - **Excerpt is capped at 500 characters** of the highest-voted answer, HTML stripped. - **Pay-per-event billing.** You pay per delivered Q\&A record. # Actor input Schema ## `mode` (type: `string`): How to seed the Q\&A crawl. 'hot' = pull from Zhihu's daily hot-list (zhihu.com/hot) — best for trend monitoring and what-is-Chinese-internet-talking-about-today work. 'search' = run keyword search across all of Zhihu's content surface (zhihu.com/search?type=content) — best for brand monitoring, competitive intel and topic-specific knowledge mining. 'both' = run hot first then top up with searches against the supplied keywords. ## `keywords` (type: `array`): List of search terms to run against Zhihu's content search. Use Chinese characters for native-quality hits (e.g. \['人工智能', '电动汽车', '创业']) — these are the buyer's primary use case. English terms also work via Zhihu's bilingual matching but return fewer high-vote answers. Ignored when mode='hot'. Leave empty to fall back to a sensible default set covering tech, finance and consumer topics. ## `categories` (type: `array`): Restrict output to Zhihu topic categories. Zhihu organises questions into broad tags: tech (科技), finance (财经/投资), business (商业), education (教育), career (职场), lifestyle (生活), health (健康), entertainment (娱乐), science (科学), politics (时政). Use canonical English slugs. Empty = no filter — return everything that matches the keywords / hot list. ## `limit` (type: `integer`): Maximum number of question/answer records to return per run. Each record costs $0.10 — premium tier because every record contains a long-form answer excerpt (up to 500 chars) plus vote counts, view counts and author handle. 20-50 is typical for daily monitoring; 100-300 for one-off market-research sweeps; 500+ for archival builds. ## `min_voteup` (type: `integer`): Drop records where the top answer has fewer than N voteups. Zhihu voteup counts are the highest-signal quality filter on the platform — 100+ usually means substantive expert content, 1000+ usually means viral / canonical answer. Set to 0 to keep everything (recommended when mining a long tail). Default 0. ## `include_hot_only` (type: `boolean`): When true, filter the final output to only records that appeared on Zhihu's hot-list (is\_hot=true). Useful for buyers who want a pure trend signal without keyword-search noise. When false (default), keep both hot and non-hot records. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. RESIDENTIAL is strongly recommended — Zhihu (zhihu.com) is hosted in mainland China and applies aggressive anti-bot detection on datacenter IPs (returns 403 / interstitial captcha or empty payloads). Residential CN-egress IPs perform best; the actor falls back to direct fetch and finally to a maintenance-stub record if all paths are blocked. ## Actor input object example ```json { "mode": "both", "keywords": [ "人工智能", "新能源汽车", "投资" ], "categories": [ "tech", "finance", "business" ], "limit": 30, "min_voteup": 0, "include_hot_only": false, "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 = { "mode": "both", "keywords": [ "人工智能", "新能源汽车", "投资" ], "categories": [ "tech", "finance", "business" ], "limit": 30, "min_voteup": 0, "include_hot_only": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/zhihu-qa-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 = { "mode": "both", "keywords": [ "人工智能", "新能源汽车", "投资", ], "categories": [ "tech", "finance", "business", ], "limit": 30, "min_voteup": 0, "include_hot_only": False, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/zhihu-qa-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 '{ "mode": "both", "keywords": [ "人工智能", "新能源汽车", "投资" ], "categories": [ "tech", "finance", "business" ], "limit": 30, "min_voteup": 0, "include_hot_only": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call nexgendata/zhihu-qa-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/zhihu-qa-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zhihu Q&A Tracker - China Hot List & Knowledge Mining", "description": "Scrape Zhihu (知乎), China's Quora: the daily hot list plus keyword Q&A search. Each record has the question, top-answer excerpt, voteup count, view count and category. For China social listening, consumer research and brand monitoring. No CN account needed.", "version": "0.0", "x-build-id": "VIGj2WX215t2o0oCr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~zhihu-qa-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-zhihu-qa-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~zhihu-qa-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-zhihu-qa-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~zhihu-qa-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-zhihu-qa-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Collection mode", "enum": [ "hot", "search", "both" ], "type": "string", "description": "How to seed the Q&A crawl. 'hot' = pull from Zhihu's daily hot-list (zhihu.com/hot) — best for trend monitoring and what-is-Chinese-internet-talking-about-today work. 'search' = run keyword search across all of Zhihu's content surface (zhihu.com/search?type=content) — best for brand monitoring, competitive intel and topic-specific knowledge mining. 'both' = run hot first then top up with searches against the supplied keywords.", "default": "both" }, "keywords": { "title": "Keywords to search (Chinese or English)", "type": "array", "description": "List of search terms to run against Zhihu's content search. Use Chinese characters for native-quality hits (e.g. ['人工智能', '电动汽车', '创业']) — these are the buyer's primary use case. English terms also work via Zhihu's bilingual matching but return fewer high-vote answers. Ignored when mode='hot'. Leave empty to fall back to a sensible default set covering tech, finance and consumer topics.", "default": [ "人工智能", "新能源汽车", "投资" ], "items": { "type": "string" } }, "categories": { "title": "Category / topic filter", "type": "array", "description": "Restrict output to Zhihu topic categories. Zhihu organises questions into broad tags: tech (科技), finance (财经/投资), business (商业), education (教育), career (职场), lifestyle (生活), health (健康), entertainment (娱乐), science (科学), politics (时政). Use canonical English slugs. Empty = no filter — return everything that matches the keywords / hot list.", "default": [ "tech", "finance", "business" ], "items": { "type": "string" } }, "limit": { "title": "Limit (max Q&A records)", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of question/answer records to return per run. Each record costs $0.10 — premium tier because every record contains a long-form answer excerpt (up to 500 chars) plus vote counts, view counts and author handle. 20-50 is typical for daily monitoring; 100-300 for one-off market-research sweeps; 500+ for archival builds.", "default": 30 }, "min_voteup": { "title": "Minimum top-answer voteup count", "minimum": 0, "type": "integer", "description": "Drop records where the top answer has fewer than N voteups. Zhihu voteup counts are the highest-signal quality filter on the platform — 100+ usually means substantive expert content, 1000+ usually means viral / canonical answer. Set to 0 to keep everything (recommended when mining a long tail). Default 0.", "default": 0 }, "include_hot_only": { "title": "Restrict to hot-list questions only", "type": "boolean", "description": "When true, filter the final output to only records that appeared on Zhihu's hot-list (is_hot=true). Useful for buyers who want a pure trend signal without keyword-search noise. When false (default), keep both hot and non-hot records.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. RESIDENTIAL is strongly recommended — Zhihu (zhihu.com) is hosted in mainland China and applies aggressive anti-bot detection on datacenter IPs (returns 403 / interstitial captcha or empty payloads). Residential CN-egress IPs perform best; the actor falls back to direct fetch and finally to a maintenance-stub record if all paths are blocked.", "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 } } } } } } } } } } ```