# TikTok Search Scraper - Keyword & Hashtag Video Profile Data (`b2b_leads/tiktok-search-scraper`) Actor Scrape TikTok videos by keyword or hashtag with full engagement — plays, likes, comments, shares, music & author details. Fast, no login required. Export to JSON, CSV & Excel or stream via webhook & API. Perfect for content research, trend tracking, influencer & competitor analysis. - **URL**: https://apify.com/b2b\_leads/tiktok-search-scraper.md - **Developed by:** [Chidubem Aneke](https://apify.com/b2b_leads) (community) - **Categories:** Social media, Videos, MCP servers - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 1,000 results 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 ## TikTok Search Scraper **Turn any keyword or hashtag into a clean, structured feed of TikTok videos — with full engagement metrics, in seconds.** Search TikTok the way your audience does, then export every matching video with plays, likes, comments, shares, music, author, and more. No login, no browser babysitting, no rate-limit headaches. Just enter what you want and press **Start**. Fast. Lightweight. Reliable. Built for marketers, analysts, agencies, and developers who need TikTok data at scale. --- ### Why use this actor - **Find what's working right now** — search any topic and instantly see the videos ranking for it. - **Measure real engagement** — every video comes with plays, likes, comments, shares, saves, and duration. - **Track hashtags** — pull the videos powering any hashtag, plus hashtag reach. - **Know the creators** — optionally attach author followers, bio, and verified status to every video. - **Filter to what matters** — keep only high-performing videos or recent uploads. - **Real-time delivery** — results stream to your dataset as they're found, with optional instant webhook push. - **Zero setup** — sensible defaults are prefilled; click Start and get results. --- ### Use cases | Goal | How this actor helps | | --- | --- | | **Content research** | Discover the top-performing videos for any topic before you create. | | **Trend monitoring** | Track a keyword or hashtag over time to spot what's rising. | | **Competitor & niche analysis** | See who dominates a topic and how much engagement they pull. | | **Influencer discovery** | Surface creators winning a niche, with follower counts attached. | | **Ad & campaign inspiration** | Collect proven creative angles by keyword or hashtag. | | **Market & audience research** | Quantify interest in a topic across regions. | | **Data pipelines & dashboards** | Feed structured TikTok data into your BI, CRM, or warehouse. | --- ### What you get - **Keyword search** — enter topics (e.g. `cooking`, `gym tips`, `skincare`) and collect the matching videos. - **Hashtag search** — enter hashtag names (e.g. `cooking`, `fyp`) and collect the videos under them, plus hashtag info. - **Full engagement** on every video: plays, likes, comments, shares, saves, duration, cover image, music, and download URL. - **Author details** (optional): followers, following, total likes, bio, verified status, profile link. - **Filters**: minimum play count and "published within" time window for keyword search. - **Region targeting**: choose the market your results come from. - **Real-time webhook**: POST each record to Slack, Zapier, Make, your CRM, or any custom API as it's collected. --- ### Input Configure the run from the visual form in Apify Console, or pass JSON via the API. Defaults are prefilled so you can run it immediately. #### Search by keyword | Field | Type | Default | Description | | --- | --- | --- | --- | | `enableKeywordSearch` | boolean | `true` | Turn keyword video search on. | | `videoKeywords` | string[] | `["cooking","gym tips"]` | Topics to search. | | `videoMaxResults` | integer | `20` | Videos to collect per keyword (1–100). | | `videoKeywordFetchEngagement` | boolean | `true` | Add plays, likes, comments, shares, music, duration, and cover to each video. | | `videoKeywordFetchAccountDetails` | boolean | `false` | Add author followers, bio, and verified status to each video. | | `videoKeywordMinPlays` | integer | `0` | Keep only videos at or above this play count (0 = no filter). | | `videoKeywordPublishedWithin` | string | `any` | Keep only recent videos: `any`, `7d`, `30d`, or `90d`. | | `tryClassicSearchApi` | boolean | `false` | Widen keyword search to surface additional matching videos. | #### Search by hashtag | Field | Type | Default | Description | | --- | --- | --- | --- | | `enableHashtagSearch` | boolean | `false` | Turn hashtag search on. | | `hashtags` | string[] | `["cooking","fyp"]` | Hashtag names, without `#`. | | `hashtagFetchVideos` | boolean | `true` | Collect the videos under each hashtag (off = hashtag info only). | | `hashtagMaxVideos` | integer | `20` | Videos per hashtag (1–50). | | `hashtagFetchEngagement` | boolean | `true` | Add plays, likes, comments, shares, music, duration, and cover to each hashtag video. | | `hashtagFetchAccountDetails` | boolean | `false` | Add author followers, bio, and verified status to each hashtag video. | #### Region & delivery | Field | Type | Default | Description | | --- | --- | --- | --- | | `region` | string | `US` | Market for search results (affects language and trending). | | `webhookUrl` | string | — | Optional. Also POST every record to this URL in real time. | | `webhookFormat` | string | `json` | `json` (full record) or `slack` (short message). | | `maxItems` | integer | `1000000` | Safety ceiling on total rows. | #### Example input ```json { "enableKeywordSearch": true, "videoKeywords": ["cooking", "gym tips"], "videoMaxResults": 20, "videoKeywordFetchEngagement": true, "videoKeywordFetchAccountDetails": false, "videoKeywordMinPlays": 0, "videoKeywordPublishedWithin": "any", "enableHashtagSearch": false, "hashtags": ["cooking", "fyp"], "hashtagFetchVideos": true, "hashtagMaxVideos": 20, "region": "US" } ```` *** ### Output Each result is one structured record streamed to the run's dataset. Export as **JSON, CSV, Excel, or HTML**, or pull it straight from the Apify API. Use the `featureType` field to tell video and hashtag rows apart. #### Example video record ```json { "featureType": "video", "videoSource": "keyword", "url": "https://www.tiktok.com/@chefexample/video/7623409201200598294", "videoId": "7623409201200598294", "description": "Quick weeknight pasta #cooking", "author": "chefexample", "authorNickname": "Chef Example", "playCount": 11900000, "diggCount": 799900, "commentCount": 1200, "shareCount": 500, "collectCount": 8300, "durationSec": 34, "musicTitle": "original sound", "musicAuthor": "chefexample", "hashtags": ["cooking"], "coverUrl": "https://...", "createTime": "2026-06-12T09:14:00.000Z", "searchQuery": "cooking", "region": "US", "scrapedAt": "2026-07-16T12:00:00.000Z", "engagementFetched": true, "accountFollowerCount": 774000, "accountVerified": true } ``` #### Key fields | Field | Description | | --- | --- | | `featureType` | `video` or `hashtag`. | | `url` / `videoId` | Direct link and ID of the video. | | `description` | Video caption. | | `author` / `authorNickname` | Creator username and display name. | | `playCount` / `diggCount` | Plays and likes. | | `commentCount` / `shareCount` / `collectCount` | Comments, shares, saves. | | `durationSec` | Video length in seconds. | | `musicTitle` / `musicAuthor` | Sound used. | | `hashtags` | Hashtags on the video. | | `coverUrl` / `downloadUrl` | Cover image and video download link. | | `createTime` | When the video was posted. | | `searchQuery` | The keyword or hashtag that surfaced this row. | | `accountFollowerCount` / `accountVerified` / `accountSignature` | Author details (when enabled). | *** ### AI, LLM & MCP support This actor is built to plug straight into AI agents and automation stacks: - **MCP (Model Context Protocol)** — expose this actor as a tool to Claude, Cursor, and other MCP-compatible clients through the [Apify MCP Server](https://mcp.apify.com), so an assistant can search TikTok and reason over the results on your behalf. - **LLM-ready output** — clean, flat JSON records that drop directly into RAG pipelines, agent tools, and function-calling workflows without extra parsing. - **Programmatic access** — start runs and fetch results via the [Apify API](https://docs.apify.com/api/v2) and official Python/JavaScript clients. - **Real-time webhooks** — stream every record into your own agent or automation the moment it's found. *** ### How to run 1. Open the actor in Apify Console. 2. Enter your keywords or hashtags (samples are prefilled). 3. Click **Start**. 4. Download your data as JSON, CSV, or Excel — or connect the API / webhook. You can also schedule runs, chain it into workflows, or call it from your own code with the Apify API. *** ### FAQ **Do I need a TikTok account or login?** No. Just enter your keywords or hashtags and run. **What regions are supported?** Set any market via the `region` field (e.g. `US`, `GB`, `DE`). It affects the language and trending of results. **Can I get results in real time?** Yes. Records stream to the dataset as they're collected, and you can add a webhook to push each one instantly. **Is the output ready for spreadsheets and BI tools?** Yes. Export to CSV/Excel, or pull structured JSON from the API into any dashboard or database. *** ### Contact & custom work Need a **custom scraper**, a **data pipeline**, or a **web app** built? I take on bespoke projects — from TikTok, Instagram, and marketplace scrapers to full-stack web applications and automations of any kind. - **Email:** - **GitHub:** [github.com/DrunkCodes](https://github.com/DrunkCodes) Reach out with your idea and I'll help you build it. # Actor input Schema ## `enableKeywordSearch` (type: `boolean`): Find videos by topic/keyword. On by default with sample keywords so you can click Start immediately. ## `videoKeywords` (type: `array`): Topics to search (e.g. cooking, gym tips, skincare). ## `videoMaxResults` (type: `integer`): Maximum videos to collect per keyword (1–100). ## `videoKeywordFetchEngagement` (type: `boolean`): On by default. Adds plays, likes, comments, shares, music, duration, and cover to each video row. ## `videoKeywordFetchAccountDetails` (type: `boolean`): Optional. Adds author followers, bio, and verified status on each video row. ## `videoKeywordMinPlays` (type: `integer`): Keep only videos at or above this play count (0 = no filter). ## `videoKeywordPublishedWithin` (type: `string`): Only keep videos published in this time window. ## `tryClassicSearchApi` (type: `boolean`): Optional. Widens keyword search to surface additional matching videos. Leave off for the fastest runs. ## `enableHashtagSearch` (type: `boolean`): Look up specific hashtags and optionally collect the videos under them. ## `hashtags` (type: `array`): Hashtag names without # (e.g. cooking, gymtok). ## `hashtagFetchVideos` (type: `boolean`): Also collect videos under each hashtag. Off = hashtag info only. ## `hashtagMaxVideos` (type: `integer`): Maximum videos per hashtag when video fetch is on (1–50). ## `hashtagFetchEngagement` (type: `boolean`): On by default. Adds plays, likes, comments, shares, music, duration, and cover to each hashtag video. ## `hashtagFetchAccountDetails` (type: `boolean`): Optional. Adds author followers, bio, and verified status on each hashtag video. ## `region` (type: `string`): Market for search results (affects language and trending). ## `webhookUrl` (type: `string`): Optional. Every record is always saved to the run's dataset as it is collected — this webhook is an additional real-time push (CRM, Slack, Zapier, Make, custom API). ## `webhookFormat` (type: `string`): json = full record object; slack = short Slack-friendly message. ## `includeRaw` (type: `boolean`): Attach extended source fragments on each record. Larger output — for advanced users only. ## `maxItems` (type: `integer`): Soft safety ceiling on total dataset rows (1–1,000,000). Feature limits above control real volume. ## Actor input object example ```json { "enableKeywordSearch": true, "videoKeywords": [ "cooking", "gym tips" ], "videoMaxResults": 20, "videoKeywordFetchEngagement": true, "videoKeywordFetchAccountDetails": false, "videoKeywordMinPlays": 0, "videoKeywordPublishedWithin": "any", "tryClassicSearchApi": false, "enableHashtagSearch": false, "hashtags": [ "cooking", "fyp" ], "hashtagFetchVideos": true, "hashtagMaxVideos": 20, "hashtagFetchEngagement": true, "hashtagFetchAccountDetails": false, "region": "US", "webhookUrl": "", "webhookFormat": "json", "includeRaw": false, "maxItems": 1000000 } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "enableKeywordSearch": true, "videoKeywords": [ "cooking", "gym tips" ], "videoMaxResults": 20, "videoKeywordFetchEngagement": true, "videoKeywordFetchAccountDetails": false, "videoKeywordMinPlays": 0, "videoKeywordPublishedWithin": "any", "tryClassicSearchApi": false, "enableHashtagSearch": false, "hashtags": [ "cooking", "fyp" ], "hashtagFetchVideos": true, "hashtagMaxVideos": 20, "hashtagFetchEngagement": true, "hashtagFetchAccountDetails": false, "region": "US", "webhookFormat": "json", "includeRaw": false, "maxItems": 1000000 }; // Run the Actor and wait for it to finish const run = await client.actor("b2b_leads/tiktok-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 = { "enableKeywordSearch": True, "videoKeywords": [ "cooking", "gym tips", ], "videoMaxResults": 20, "videoKeywordFetchEngagement": True, "videoKeywordFetchAccountDetails": False, "videoKeywordMinPlays": 0, "videoKeywordPublishedWithin": "any", "tryClassicSearchApi": False, "enableHashtagSearch": False, "hashtags": [ "cooking", "fyp", ], "hashtagFetchVideos": True, "hashtagMaxVideos": 20, "hashtagFetchEngagement": True, "hashtagFetchAccountDetails": False, "region": "US", "webhookFormat": "json", "includeRaw": False, "maxItems": 1000000, } # Run the Actor and wait for it to finish run = client.actor("b2b_leads/tiktok-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 '{ "enableKeywordSearch": true, "videoKeywords": [ "cooking", "gym tips" ], "videoMaxResults": 20, "videoKeywordFetchEngagement": true, "videoKeywordFetchAccountDetails": false, "videoKeywordMinPlays": 0, "videoKeywordPublishedWithin": "any", "tryClassicSearchApi": false, "enableHashtagSearch": false, "hashtags": [ "cooking", "fyp" ], "hashtagFetchVideos": true, "hashtagMaxVideos": 20, "hashtagFetchEngagement": true, "hashtagFetchAccountDetails": false, "region": "US", "webhookFormat": "json", "includeRaw": false, "maxItems": 1000000 }' | apify call b2b_leads/tiktok-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=b2b_leads/tiktok-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Search Scraper - Keyword & Hashtag Video Profile Data", "description": "Scrape TikTok videos by keyword or hashtag with full engagement — plays, likes, comments, shares, music & author details. Fast, no login required. Export to JSON, CSV & Excel or stream via webhook & API. Perfect for content research, trend tracking, influencer & competitor analysis.", "version": "0.0", "x-build-id": "Dpw3i4IIO0wVBzKt3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/b2b_leads~tiktok-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-b2b_leads-tiktok-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/b2b_leads~tiktok-search-scraper/runs": { "post": { "operationId": "runs-sync-b2b_leads-tiktok-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/b2b_leads~tiktok-search-scraper/run-sync": { "post": { "operationId": "run-sync-b2b_leads-tiktok-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "enableKeywordSearch": { "title": "Search by keyword", "type": "boolean", "description": "Find videos by topic/keyword. On by default with sample keywords so you can click Start immediately.", "default": true }, "videoKeywords": { "title": "Keywords", "type": "array", "description": "Topics to search (e.g. cooking, gym tips, skincare).", "default": [ "cooking", "gym tips" ], "items": { "type": "string" } }, "videoMaxResults": { "title": "Videos per keyword", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum videos to collect per keyword (1–100).", "default": 20 }, "videoKeywordFetchEngagement": { "title": "Full engagement details", "type": "boolean", "description": "On by default. Adds plays, likes, comments, shares, music, duration, and cover to each video row.", "default": true }, "videoKeywordFetchAccountDetails": { "title": "Author account details", "type": "boolean", "description": "Optional. Adds author followers, bio, and verified status on each video row.", "default": false }, "videoKeywordMinPlays": { "title": "Min play count", "minimum": 0, "type": "integer", "description": "Keep only videos at or above this play count (0 = no filter).", "default": 0 }, "videoKeywordPublishedWithin": { "title": "Published within", "enum": [ "any", "7d", "30d", "90d" ], "type": "string", "description": "Only keep videos published in this time window.", "default": "any" }, "tryClassicSearchApi": { "title": "Extended search coverage", "type": "boolean", "description": "Optional. Widens keyword search to surface additional matching videos. Leave off for the fastest runs.", "default": false }, "enableHashtagSearch": { "title": "Search by hashtag", "type": "boolean", "description": "Look up specific hashtags and optionally collect the videos under them.", "default": false }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtag names without # (e.g. cooking, gymtok).", "default": [ "cooking", "fyp" ], "items": { "type": "string" } }, "hashtagFetchVideos": { "title": "Fetch videos for hashtags", "type": "boolean", "description": "Also collect videos under each hashtag. Off = hashtag info only.", "default": true }, "hashtagMaxVideos": { "title": "Videos per hashtag", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum videos per hashtag when video fetch is on (1–50).", "default": 20 }, "hashtagFetchEngagement": { "title": "Full engagement details", "type": "boolean", "description": "On by default. Adds plays, likes, comments, shares, music, duration, and cover to each hashtag video.", "default": true }, "hashtagFetchAccountDetails": { "title": "Author account details", "type": "boolean", "description": "Optional. Adds author followers, bio, and verified status on each hashtag video.", "default": false }, "region": { "title": "Region / market", "type": "string", "description": "Market for search results (affects language and trending).", "default": "US" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Optional. Every record is always saved to the run's dataset as it is collected — this webhook is an additional real-time push (CRM, Slack, Zapier, Make, custom API).", "default": "" }, "webhookFormat": { "title": "Webhook format", "enum": [ "json", "slack" ], "type": "string", "description": "json = full record object; slack = short Slack-friendly message.", "default": "json" }, "includeRaw": { "title": "Include raw data", "type": "boolean", "description": "Attach extended source fragments on each record. Larger output — for advanced users only.", "default": false }, "maxItems": { "title": "Max items (soft cap)", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Soft safety ceiling on total dataset rows (1–1,000,000). Feature limits above control real volume.", "default": 1000000 } } }, "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 } } } } } } } } } } ```