# 🇨🇳 Xiaohongshu Trends Tracker · 小红书趋势追踪 (`nexgendata/xiaohongshu-trends-tracker`) Actor Track Xiaohongshu (小红书 / RedNote) trending posts, hashtags & brand mentions across beauty, fashion, food, travel, wellness and tech. Premium China consumer-trend intel for brand marketers, e-commerce ops and market-entry consultants. Nielsen / Kantar / Hootsuite China alternative. - **URL**: https://apify.com/nexgendata/xiaohongshu-trends-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 $150.00 / 1,000 xiaohongshu trending post 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Trends Tracker — RedNote Beauty & Lifestyle **Track what's actually breaking through to mainland Chinese consumers right now — in real time, with structured fields you can drop straight into a dashboard.** This actor surfaces trending posts, hashtags and brand mentions from **Xiaohongshu (小红书 / Little Red Book / "RedNote")** — the dominant Chinese super-app for beauty, fashion, lifestyle, food, travel, wellness and consumer-product discovery. If Weibo is China's Twitter and Bilibili is its YouTube, Xiaohongshu is its Instagram + Pinterest + Yelp — and it is where almost every consumer purchase decision in the country starts. For brand marketers, beauty/fashion e-commerce operators, consumer-trend researchers and China market-entry consultants, Xiaohongshu's trending surface is the single highest-signal source on the planet for "what Chinese consumers actually want this week." This actor extracts that signal as clean JSON, on demand, with no manual scrolling. --- ### Why Xiaohongshu matters for Western brand operators Xiaohongshu has **300M+ monthly active users**, ~70% female, average age 25, with an unusually high concentration in tier-1/2 mainland cities (Shanghai, Beijing, Shenzhen, Guangzhou, Chengdu). Crucially, the platform's recommendation engine is product-centric: every viral note is, in effect, a product review or a buying guide. That means trending Xiaohongshu content is the closest publicly observable signal to consumer demand — earlier and cleaner than Tmall/JD sales rankings, and far more granular than Nielsen-style panel data. When **a foreign beauty brand goes viral on Xiaohongshu, mainland import demand spikes within days.** Brand teams who monitor the platform daily — instead of weekly or quarterly — consistently get 2-4 weeks of lead time on competitors. This actor is the data layer that makes daily monitoring tractable without a Mandarin-speaking analyst in Shanghai. --- ### What you get per record Every trending post returned by the actor includes: | Field | Type | Description | |---|---|---| | `topic` | string | The query keyword or hashtag (Chinese or English) | | `hashtag` | string | Normalised `#topic` form | | `category` | string | `beauty` / `fashion` / `food` / `travel` / `wellness` / `tech` / `finance` / `lifestyle` | | `top_post_title` | string | The leading viral post title for this topic | | `top_post_url` | string | Canonical `xiaohongshu.com/explore/{id}` deep link | | `engagement_count` | int | Combined likes + saves + comments (Xiaohongshu's primary virality signal) | | `growth_24h_pct` | float \| null | 24h growth % when the platform exposes it | | `top_brands_mentioned` | list | Recognised consumer-brand tokens parsed from the title — 完美日记, Estée Lauder, 瑞幸, Apple, Burberry, Helena, Charlotte Tilbury, Fenty etc. | | `is_trending` | bool | True when `engagement_count` ≥ 1000 | | `is_branded_partnership` | bool | True when Xiaohongshu's `品牌合作` / `合作笔记` disclosure tag is present | | `data_source` | string | Provenance (`xiaohongshu.com/search_result (httpx)` etc.) | | `as_of_timestamp` | string | UTC ISO-8601 capture time | If — and only if — every probe strategy is fully blocked by Xiaohongshu's anti-bot wall, the actor emits a single `status: "maintenance"` record explaining the situation and listing the sister actors you can fall back on. Your downstream pipeline never crashes. --- ### How the actor handles Xiaohongshu's anti-bot wall Xiaohongshu is one of the hardest mainland platforms to scrape reliably. The mobile API requires fully signed requests (x-s / x-t / x-mns tokens derived from a closed-source WASM blob); the web feed is gated behind Cloudflare-style fingerprinting and aggressively serves HTTP 461 or empty payloads to datacenter IPs. This actor uses a multi-strategy waterfall: 1. **httpx + realistic browser headers** against `xiaohongshu.com/search_result?keyword=...` — extracts `window.__INITIAL_STATE__` when the page hydrates server-side. 2. **Playwright headless Chromium with stealth countermeasures** (`navigator.webdriver` patch, zh-CN locale, Asia/Shanghai timezone, realistic viewport, plugin/languages spoofing) — handles JS-rendered hydration. 3. **DOM-level fallback parser** — pulls `/explore/{id}` anchors and inferred titles even when the hydrated state blob is absent or partial. 4. **Maintenance-stub fallback** — graceful single-row response so consumers' pipelines don't break. All paths run behind Apify's RESIDENTIAL proxy pool by default, with optional CN-egress preference. --- ### Input parameters - `keywords` — array of Chinese or English search terms (default: `["护肤", "口红", "穿搭"]`). - `categories` — array of category filters: `beauty`, `fashion`, `food`, `travel`, `wellness`, `tech`, `finance`, `lifestyle`. - `limit` — max records to return (1-500; default 30). - `time_window` — `24h` / `7d` / `30d` / `all`. - `include_branded_partnerships` — `true` to keep disclosed paid posts, `false` for organic UGC only. - `proxyConfiguration` — Apify proxy (defaults to RESIDENTIAL — strongly recommended). --- ### Pricing **$0.01 per actor start + $0.15 per trending record.** This is a **premium tier** ($0.15 vs the $0.05-$0.10 we charge for Weibo / Bilibili). Xiaohongshu data is the most commercially valuable single feed in the Chinese consumer-trend stack, because every post is effectively a purchase intent signal. A typical brand-monitoring run of 30 records costs **$4.51** — a fraction of a single Nielsen China dashboard hour. | Run profile | Records | Approx cost | |---|---|---| | Smoke / health-check | 10 | $1.51 | | Daily brand monitor | 30 | $4.51 | | Weekly category sweep | 100 | $15.01 | | One-off market sizing | 500 | $75.01 | --- ### How buyers actually use this actor - **Beauty/fashion e-commerce ops** — daily 5-keyword monitor against the brand portfolio + 3 closest competitors. Plug into Slack via webhook for "your brand just appeared on Xiaohongshu's trending feed" alerts. - **China market-entry consultants** — weekly 200-record sweep across `beauty` + `wellness` + `lifestyle` to identify whitespace categories before a client launch. - **Consumer-trend researchers** — monthly 500-record archive build, joined against Tmall sales rankings for a 60-day lead/lag analysis. - **Hedge fund China desks** — track top brand-mention counts as a real-time alt-data feed into consumer-discretionary stock theses. - **Brand-safety teams** — flag `is_branded_partnership=true` posts that mention your competitors for compliance review. --- ### How this compares to incumbent China consumer-trend tools | Capability | Xiaohongshu Trends Tracker | Bloomberg China Consumer Pulse | Nielsen China | Kantar Worldpanel | Hootsuite China | |---|---|---|---|---|---| | Per-record API access | Yes (pay-per-event) | Terminal subscription only | Annual contract | Annual contract | Seat-based SaaS | | Latency | Live (≤2 min) | Daily | Monthly panel | Weekly | Daily-ish | | Cost to first record | $1.51 | $24k+/year/seat | $80k+/year minimum | $50k+/year minimum | $9k+/year | | Brand-mention extraction | Yes (parsed in record) | No | Manual analyst | Aggregated | Keyword counts only | | Disclosed-vs-organic split | Yes (`is_branded_partnership`) | No | No | No | No | | Coverage of Xiaohongshu specifically | Yes (primary source) | Aggregated | Survey-based | Panel-based | Limited | | Self-serve, no contract | Yes | No | No | No | No | | Pipeline-friendly JSON | Yes | CSV / terminal | PDF / Tableau | Excel | CSV | Xiaohongshu Trends Tracker is the only option in the list that gives self-serve API access to the underlying Xiaohongshu trend signal, structured at the post level, with brand-mention parsing built in. The incumbents are useful for board-level narratives; this actor is what you wire into your daily marketing-ops dashboard. --- ### Pair it with the NexGenData China-stack fleet This actor is one slice of NexGenData's purpose-built Chinese-data fleet on Apify. The other six slices: - **[Weibo Hot Search Tracker](https://apify.com/nexgendata/weibo-hot-search-tracker)** — China's #1 social-trending barometer (微博热搜榜). Top-50 ranked keywords, heat score, category, 新/热/沸 flags, pinyin + best-effort English translation. - **[Bilibili Video Search](https://apify.com/nexgendata/bilibili-video-search)** — Chinese long-form video / gaming / education trends — the YouTube of mainland China. - **[China Trends Tracker](https://apify.com/nexgendata/china-trends-tracker)** — Cross-platform Chinese trend aggregator (Weibo + Douyin + Toutiao). - **[Chinese ADRs Stock Screener](https://apify.com/nexgendata/chinese-adrs-stock-screener)** — Chinese companies listed on NYSE/NASDAQ via ADR — daily pricing, market cap, sector. - **[EastMoney China Stock Screener](https://apify.com/nexgendata/eastmoney-china-stock-screener)** — A-share market screener powered by 东方财富. - **[Finance MCP Server](https://apify.com/nexgendata/finance-mcp-server)** — MCP-protocol bridge for plugging the entire NexGenData finance fleet directly into Claude / ChatGPT / Cursor. Run the Xiaohongshu Trends Tracker daily for consumer-demand intelligence, then layer the China Trends Tracker for cross-platform validation, then close the loop with EastMoney for the equity read-through on which Chinese consumer-discretionary names are seeing the inflow. --- ### Output sample (truncated, schema-accurate) ```json [ { "topic": "护肤", "hashtag": "#护肤", "category": "beauty", "top_post_title": "干皮姐妹必囤！这5支精华我闭眼都买", "top_post_url": "https://www.xiaohongshu.com/explore/665a2e1c000000001e02b03f", "engagement_count": 28400, "growth_24h_pct": null, "top_brands_mentioned": ["兰蔻", "雅诗兰黛", "Helena"], "is_trending": true, "is_branded_partnership": false, "data_source": "xiaohongshu.com/search_result (httpx)", "as_of_timestamp": "2026-05-14T10:42:01Z" } ] ```` *** ### Operational notes & limits - **Residential proxy strongly recommended.** Datacenter IPs are blocked within minutes by Xiaohongshu's edge. The actor's default proxy group is `RESIDENTIAL`. If you supply your own proxy, prefer CN-egress. - **Per-keyword fan-out is capped at 25 keywords per run** to avoid runaway anti-bot retaliation. Split larger sweeps across multiple runs (≤20 keywords each, 5-min gap). - **Translation is intentionally absent from this actor** — Xiaohongshu titles use heavy slang/emoji and machine translation degrades signal quality. Pair with the Weibo Hot Search Tracker's translation module if you need automated EN summaries. - **Maintenance fallback is by design.** A `status: "maintenance"` record is the correct response to a temporarily blocked feed; treat it as a "retry in 5-30 min" signal, not an actor failure. *** ### Get the NexGenData fleet (affiliate link) If you find this actor useful, the entire 80+ actor NexGenData fleet on Apify is available here: **** # Actor input Schema ## `keywords` (type: `array`): List of search terms to query against Xiaohongshu's discovery surfaces. Use Chinese characters for native-quality hits (e.g. \['口红', '护肤', '穿搭']) or English fall-backs (e.g. \['lipstick', 'skincare', 'outfit']). Leave empty to pull the default beauty/fashion/lifestyle discovery feed across all categories. ## `categories` (type: `array`): Restrict the results to one or more Xiaohongshu category surfaces. Xiaohongshu's discovery tabs cluster posts into: beauty (美妆), fashion (穿搭), food (美食), travel (旅行), wellness (健身/养生), tech (数码) and finance (理财). Choose any subset; empty = all. ## `limit` (type: `integer`): Maximum number of trending posts/hashtag records to return per run. Each record costs $0.15 (premium tier — niche but high-value Chinese consumer intel). 10-30 is appropriate for daily brand-monitoring; 100+ for one-off market-sizing studies. ## `time_window` (type: `string`): Recency filter — Xiaohongshu surfaces decay quickly, especially in beauty/fashion. '24h' = last day (default, freshest), '7d' = last week (longer-cycle wellness/travel trends), '30d' = monthly aggregate (best for brand-mention totals), 'all' = no recency filter. ## `include_branded_partnerships` (type: `boolean`): Xiaohongshu requires creators to tag paid brand collaborations as 品牌合作 ('brand partnership'). Set true to keep them in the dataset (relevant for paid-media benchmarking); false to filter to organic UGC only (relevant for authentic consumer-sentiment work). ## `proxyConfiguration` (type: `object`): Apify proxy configuration. RESIDENTIAL is strongly recommended — Xiaohongshu is hosted in mainland China and applies aggressive anti-bot detection on datacenter IPs (returns 403/461 or empty feeds). Residential CN-egress IPs work 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 { "keywords": [ "护肤", "口红", "穿搭" ], "categories": [ "beauty", "fashion", "lifestyle" ], "limit": 30, "time_window": "24h", "include_branded_partnerships": 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 = { "keywords": [ "护肤", "口红", "穿搭" ], "categories": [ "beauty", "fashion", "lifestyle" ], "limit": 30, "time_window": "24h", "include_branded_partnerships": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/xiaohongshu-trends-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 = { "keywords": [ "护肤", "口红", "穿搭", ], "categories": [ "beauty", "fashion", "lifestyle", ], "limit": 30, "time_window": "24h", "include_branded_partnerships": True, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/xiaohongshu-trends-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 '{ "keywords": [ "护肤", "口红", "穿搭" ], "categories": [ "beauty", "fashion", "lifestyle" ], "limit": 30, "time_window": "24h", "include_branded_partnerships": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call nexgendata/xiaohongshu-trends-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/xiaohongshu-trends-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🇨🇳 Xiaohongshu Trends Tracker · 小红书趋势追踪", "description": "Track Xiaohongshu (小红书 / RedNote) trending posts, hashtags & brand mentions across beauty, fashion, food, travel, wellness and tech. Premium China consumer-trend intel for brand marketers, e-commerce ops and market-entry consultants. Nielsen / Kantar / Hootsuite China alternative.", "version": "0.0", "x-build-id": "zBeD1qFHYjLj0LFeV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~xiaohongshu-trends-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-xiaohongshu-trends-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~xiaohongshu-trends-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-xiaohongshu-trends-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~xiaohongshu-trends-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-xiaohongshu-trends-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Keywords / hashtags to track (Chinese or English)", "type": "array", "description": "List of search terms to query against Xiaohongshu's discovery surfaces. Use Chinese characters for native-quality hits (e.g. ['口红', '护肤', '穿搭']) or English fall-backs (e.g. ['lipstick', 'skincare', 'outfit']). Leave empty to pull the default beauty/fashion/lifestyle discovery feed across all categories.", "default": [ "护肤", "口红", "穿搭" ], "items": { "type": "string" } }, "categories": { "title": "Category filter", "type": "array", "description": "Restrict the results to one or more Xiaohongshu category surfaces. Xiaohongshu's discovery tabs cluster posts into: beauty (美妆), fashion (穿搭), food (美食), travel (旅行), wellness (健身/养生), tech (数码) and finance (理财). Choose any subset; empty = all.", "default": [ "beauty", "fashion", "lifestyle" ], "items": { "type": "string" } }, "limit": { "title": "Limit (max trending records)", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of trending posts/hashtag records to return per run. Each record costs $0.15 (premium tier — niche but high-value Chinese consumer intel). 10-30 is appropriate for daily brand-monitoring; 100+ for one-off market-sizing studies.", "default": 30 }, "time_window": { "title": "Time window (recency filter)", "enum": [ "24h", "7d", "30d", "all" ], "type": "string", "description": "Recency filter — Xiaohongshu surfaces decay quickly, especially in beauty/fashion. '24h' = last day (default, freshest), '7d' = last week (longer-cycle wellness/travel trends), '30d' = monthly aggregate (best for brand-mention totals), 'all' = no recency filter.", "default": "24h" }, "include_branded_partnerships": { "title": "Include disclosed brand-partnership posts", "type": "boolean", "description": "Xiaohongshu requires creators to tag paid brand collaborations as 品牌合作 ('brand partnership'). Set true to keep them in the dataset (relevant for paid-media benchmarking); false to filter to organic UGC only (relevant for authentic consumer-sentiment work).", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. RESIDENTIAL is strongly recommended — Xiaohongshu is hosted in mainland China and applies aggressive anti-bot detection on datacenter IPs (returns 403/461 or empty feeds). Residential CN-egress IPs work 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 } } } } } } } } } } ```