# YC Intelligence Pro (`genz-coder/yc-intelligence-pro`) Actor YC Scraper - Extract 40+ Fields from Y Combinator Companies - **URL**: https://apify.com/genz-coder/yc-intelligence-pro.md - **Developed by:** [Gen Z Coder](https://apify.com/genz-coder) (community) - **Categories:** Automation, Lead generation, SEO tools - **Stats:** 19 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## YC Intelligence Pro - Complete Startup Data Platform **Extract comprehensive Y Combinator startup intelligence with 40+ fields per company.** The most advanced YC scraper on Apify with dual-mode input (custom URLs or advanced filter builder), founder details, job listings, and enterprise-grade data quality. [![Success Rate](https://img.shields.io/badge/Success%20Rate-95%25-brightgreen)]() [![Speed](https://img.shields.io/badge/Speed-5s%2Fcompany-blue)]() [![Data Fields](https://img.shields.io/badge/Data%20Fields-40%2B-orange)]() --- ### 🏆 Why Choose YC Intelligence Pro? #### Premium Features That Beat All Competitors | Feature | YC Intelligence Pro | Basic YC Scrapers | |---------|-------------------|-------------------| | **Data Fields** | **40+ comprehensive** | 10-15 basic | | **Pricing** | **$8 per 1,000** | $15/1K or limited | | **Filter Builder** | ✅ Advanced dual-mode | ❌ URL only | | **Batch Support** | ✅ All batches 2005-2025 | Limited | | **Region Filters** | ✅ 100+ regions | Basic | | **Industry Filters** | ✅ 50+ industries | Limited | | **Team Size Filter** | ✅ Granular ranges | ❌ | | **Founder Details** | ✅ LinkedIn, Twitter, titles | Limited | | **Parallel Processing** | ✅ 2x faster | Sequential | | **Auto-Retry** | ✅ 95%+ success rate | Often fails | | **Production Ready** | ✅ Enterprise-grade | Varies | --- ### ⚡ Quick Start #### Option 1: Custom URL (Fastest - 30 seconds) 1. Go to [Y Combinator Companies](https://www.ycombinator.com/companies) 2. Apply your desired filters on YC's website 3. Copy the complete URL from your browser 4. Paste into **"Custom URL"** field 5. Set max companies 6. Click **Start** **Example URLs**: All companies: https://www.ycombinator.com/companiesSummer 2024 AI startups that are hiring: https://www.ycombinator.com/companies?batch=Summer%202024&industry=B2B&isHiring=trueTop Healthcare companies: https://www.ycombinator.com/companies?top_company=true&industry=Healthcare --- #### Option 2: Advanced Filter Builder (Most Flexible) 1. Leave "Custom URL" empty 2. Configure filters: - **Special Filters**: Top companies, hiring status, nonprofit - **Batch**: Select YC batches (2005-2025) - **supports multiple!** - **Industry**: Choose from 50+ industries - **supports multiple!** - **Region**: Filter by 100+ countries/regions - **supports multiple!** - **Team Size**: Set min/max company size - **Media**: Filter by videos/content availability 3. Set max companies 4. Click **Start** **Pro Tip**: Combine multiple filters! Example: { "batches": ["Summer 2024", "Winter 2025"], "industries": ["Healthcare", "B2B"], "regions": ["United States of America", "United Kingdom"], "isHiring": true, "teamSizeMin": "10", "teamSizeMax": "100", "maxCompanies": 100 } --- ## 📊 Complete Data Output - 40+ Fields ### 🏢 Basic Information (10 fields) - **id** - Unique company identifier - **name** - Company name - **slug** - URL slug - **batch** - YC batch (e.g., "S24", "W25") - **year_founded** - Founding year - **one_liner** - Short description (tagline) - **long_description** - Detailed description - **website** - Company website URL - **status** - Company status (Active, Acquired, IPO, etc.) - **url** - YC profile URL ### 📍 Location Data (4 fields) - **location** - Full location string - **city** - City name - **region** - State/region - **country** - Country name ### 👥 Team Information (4 fields) - **team_size** - Number of employees - **num_founders** - Number of founders - **founders_count** - Calculated founder count - **founders_names** - Semicolon-separated founder names ### 👤 Founder Details (1 structured field) - **founders** - Array of founder objects with: [ { "name": "Jane Doe", "title": "CEO", "linkedin": "https://linkedin.com/in/janedoe", "twitter": "https://twitter.com/janedoe" } ] ### 🏭 Categories & Tags (3 fields) - **tags** - Comma-separated tags - **industries** - Comma-separated industries - **subindustry** - Specific subindustry ### 🔗 Social & External Links (4 fields) - **twitter_url** - Twitter/X profile - **linkedin_url** - LinkedIn company page - **facebook_url** - Facebook page - **crunchbase_url** - Crunchbase profile ### 🖼️ Media Assets (2 fields) - **logo_url** - Small logo URL - **large_logo_url** - Large/HD logo URL ### 💼 Job Information (2 fields) - **is_hiring** - Boolean (true/false) - **num_jobs** - Number of open positions ### 🚀 Launch Data (3 fields) - **launch_title** - Latest launch post title - **launch_date** - Launch date (ISO 8601 format) - **launch_url** - Launch post URL ### 🕐 Metadata (1 field) - **scraped_at** - Extraction timestamp (ISO 8601) --- ## 💡 Real-World Output Example { "id": 30829, "name": "Remedy", "slug": "remedy", "batch": "Fall 2025", "year_founded": 2025, "one_liner": "AI Agents for Pharmacies", "long_description": "Streamline prescription refills, reduce workload, and enhance patient care with intelligent automation.", "website": "http://www.useremedy.co", "status": "Active","location": "San Francisco", "city": "San Francisco", "region": "", "country": "US","team_size": 3, "num_founders": "", "founders_count": 3, "founders_names": "Nikhil Devaraj; Sai Mandhan; Vishnu Sreenivasan", "founders": [ { "name": "Nikhil Devaraj", "title": "Founder", "linkedin": "https://www.linkedin.com/in/nikhildevaraj/", "twitter": "" }, { "name": "Sai Mandhan", "title": "Founder", "linkedin": "https://www.linkedin.com/in/saimandhan/", "twitter": "" }, { "name": "Vishnu Sreenivasan", "title": "Founder", "linkedin": "https://www.linkedin.com/in/vsreenivasan/", "twitter": "" } ],"tags": "healthcare", "industries": "", "subindustry": "","twitter_url": "", "linkedin_url": "", "facebook_url": "", "crunchbase_url": "","logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/...", "large_logo_url": "https://bookface-images.s3.us-west-2.amazonaws.com/logos/...","is_hiring": false, "num_jobs": 0,"launch_title": "", "launch_date": "", "launch_url": "","url": "https://www.ycombinator.com/companies/remedy", "scraped_at": "2025-10-03T07:28:06.540Z" } --- ## 🎯 Use Cases ### 1. 💰 Investor Research Extract companies by batch, industry, and location to identify investment opportunities. Filter by hiring status to find growing companies. Get founder LinkedIn profiles for direct outreach. **Who uses this**: VCs, angel investors, corporate venture teams ### 2. 📈 Lead Generation Build targeted lists of startups for B2B sales. Filter by industry, team size, and region. Access founder details for personalized outreach campaigns. **Who uses this**: Sales teams, SDRs, business development ### 3. 🔍 Competitive Intelligence Track companies in your industry. Monitor hiring trends, new launches, and company growth signals. Analyze competitor batch, funding stage, and team expansion. **Who uses this**: Product managers, strategy teams, market analysts ### 4. 📊 Market Research Analyze YC portfolio trends over time. Study founder backgrounds, geographic distribution, and industry evolution. Export data for custom analytics and reporting. **Who uses this**: Researchers, journalists, consultants ### 5. 🎓 Talent Acquisition Find fast-growing startups hiring in specific locations. Access founder networks for recruiting. Identify companies by stage and team size. **Who uses this**: Recruiters, HR teams, talent agencies ### 6. 🤝 Partnership Development Identify potential partners by industry, size, and location. Get contact information and company details for outreach. Filter by hiring status to find scaling companies. **Who uses this**: BD teams, partnership managers, ecosystem builders --- ## 📥 Data Export Formats ### JSON Format (Recommended for Developers) - Preserves nested `founders` array structure - All 40+ fields in original format - Best for: APIs, databases, further processing ### CSV Format (Recommended for Analysts) - Founders data is **flattened** into separate columns - Each founder appears as: `founders/0/name`, `founders/1/name`, etc. - Best for: Excel, Google Sheets, data analysis - **Note**: If a company has 3 founders, you'll see `founders/0/*`, `founders/1/*`, `founders/2/*` columns ### Excel Format - Clean formatting with headers - Easy to open and analyze - Best for: Business users, presentations **Example**: - **JSON**: `"founders": [{"name": "John", "title": "CEO"}]` - **CSV**: `founders/0/name: "John"`, `founders/0/title: "CEO"` **Tip**: Use JSON for nested data, CSV for spreadsheet analysis. Both formats contain the same complete information! # Actor input Schema ## `startUrl` (type: `string`): Paste any YC companies URL to start immediately. Leave empty to use filter builder below. ## `maxCompanies` (type: `integer`): Maximum number of companies to scrape (1-10,000). Recommended: 50-100 for testing, 500-1000 for production. ## `topCompany` (type: `boolean`): Filter for YC's top-rated companies (500+ companies) ## `isHiring` (type: `boolean`): Only companies with open positions ## `nonprofit` (type: `boolean`): Filter for nonprofit companies ## `batches` (type: `array`): Select one or more YC batches (2005-2025). Leave empty for all batches. ## `industries` (type: `array`): Select one or more industries. Leave empty for all industries. ## `regions` (type: `array`): Select one or more regions. Leave empty for all regions. ## `teamSizeMin` (type: `string`): Minimum team size filter ## `teamSizeMax` (type: `string`): Maximum team size filter ## `appVideoPublic` (type: `boolean`): Companies with public application videos ## `demoDayVideoPublic` (type: `boolean`): Companies with demo day videos ## `appAnswers` (type: `boolean`): Companies with public application answers ## `questionAnswers` (type: `boolean`): Companies with bonus question answers ## Actor input object example ```json { "startUrl": "https://www.ycombinator.com/companies?batch=Summer%202024&industry=B2B&isHiring=true", "maxCompanies": 10, "topCompany": false, "isHiring": false, "nonprofit": false, "teamSizeMin": "1", "teamSizeMax": "1,000+", "appVideoPublic": false, "demoDayVideoPublic": false, "appAnswers": false, "questionAnswers": false } ```` # 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 = { "startUrl": "https://www.ycombinator.com/companies?batch=Winter%202025&industry=B2B", "maxCompanies": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("genz-coder/yc-intelligence-pro").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 = { "startUrl": "https://www.ycombinator.com/companies?batch=Winter%202025&industry=B2B", "maxCompanies": 10, } # Run the Actor and wait for it to finish run = client.actor("genz-coder/yc-intelligence-pro").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 '{ "startUrl": "https://www.ycombinator.com/companies?batch=Winter%202025&industry=B2B", "maxCompanies": 10 }' | apify call genz-coder/yc-intelligence-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=genz-coder/yc-intelligence-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YC Intelligence Pro", "description": "YC Scraper - Extract 40+ Fields from Y Combinator Companies", "version": "0.0", "x-build-id": "fFrAcOuX3aLVL2Daq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/genz-coder~yc-intelligence-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-genz-coder-yc-intelligence-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/genz-coder~yc-intelligence-pro/runs": { "post": { "operationId": "runs-sync-genz-coder-yc-intelligence-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/genz-coder~yc-intelligence-pro/run-sync": { "post": { "operationId": "run-sync-genz-coder-yc-intelligence-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrl": { "title": "🔗 Quick Start URL (Optional)", "pattern": "^https://www\\.ycombinator\\.com/companies.*$", "type": "string", "description": "Paste any YC companies URL to start immediately. Leave empty to use filter builder below." }, "maxCompanies": { "title": "📊 Max Companies to Extract", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of companies to scrape (1-10,000). Recommended: 50-100 for testing, 500-1000 for production.", "default": 50 }, "topCompany": { "title": "⭐ Top Companies Only", "type": "boolean", "description": "Filter for YC's top-rated companies (500+ companies)", "default": false }, "isHiring": { "title": "💼 Currently Hiring", "type": "boolean", "description": "Only companies with open positions", "default": false }, "nonprofit": { "title": "🏛️ Nonprofit Organizations", "type": "boolean", "description": "Filter for nonprofit companies", "default": false }, "batches": { "title": "📅 YC Batch(es)", "uniqueItems": true, "type": "array", "description": "Select one or more YC batches (2005-2025). Leave empty for all batches.", "items": { "type": "string", "enum": [ "Fall 2025", "Summer 2025", "Spring 2025", "Winter 2025", "Fall 2024", "Summer 2024", "Winter 2024", "Fall 2023", "Summer 2023", "Winter 2023", "Fall 2022", "Summer 2022", "Winter 2022", "Fall 2021", "Summer 2021", "Winter 2021", "Fall 2020", "Summer 2020", "Winter 2020", "Fall 2019", "Summer 2019", "Winter 2019", "Fall 2018", "Summer 2018", "Winter 2018", "Fall 2017", "Summer 2017", "Winter 2017", "Fall 2016", "Summer 2016", "Winter 2016", "Fall 2015", "Summer 2015", "Winter 2015", "Fall 2014", "Summer 2014", "Winter 2014", "Fall 2013", "Summer 2013", "Winter 2013", "Fall 2012", "Summer 2012", "Winter 2012", "Fall 2011", "Summer 2011", "Winter 2011", "Fall 2010", "Summer 2010", "Winter 2010", "Fall 2009", "Summer 2009", "Winter 2009", "Fall 2008", "Summer 2008", "Winter 2008", "Fall 2007", "Summer 2007", "Winter 2007", "Fall 2006", "Summer 2006", "Winter 2006", "Summer 2005" ] } }, "industries": { "title": "🏭 Industries", "uniqueItems": true, "type": "array", "description": "Select one or more industries. Leave empty for all industries.", "items": { "type": "string", "enum": [ "B2B", "Analytics", "Engineering, Product and Design", "Finance and Accounting", "Human Resources", "Infrastructure", "Legal", "Marketing", "Office Management", "Operations", "Productivity", "Recruiting and Talent", "Retail", "Sales", "Security", "Supply Chain and Logistics", "Fintech", "Asset Management", "Banking and Exchange", "Consumer Finance", "Credit and Lending", "Insurance", "Payments", "Consumer", "Apparel and Cosmetics", "Consumer Electronics", "Content", "Food and Beverage", "Gaming", "Home and Personal", "Job and Career Services", "Social", "Transportation Services", "Travel, Leisure and Tourism", "Virtual and Augmented Reality", "Education", "Healthcare", "Consumer Health and Wellness", "Diagnostics", "Drug Discovery and Delivery", "Healthcare IT", "Healthcare Services", "Industrial Bio", "Medical Devices", "Therapeutics", "Real Estate and Construction", "Construction", "Housing and Real Estate", "Industrials", "Agriculture", "Automotive", "Aviation and Space", "Climate", "Drones", "Energy", "Manufacturing and Robotics", "Government", "Unspecified" ] } }, "regions": { "title": "🌍 Regions/Countries", "uniqueItems": true, "type": "array", "description": "Select one or more regions. Leave empty for all regions.", "items": { "type": "string", "enum": [ "America / Canada", "United States of America", "Canada", "Remote", "Partly Remote", "Fully Remote", "Europe", "United Kingdom", "France", "Germany", "Spain", "Denmark", "Netherlands", "Sweden", "Switzerland", "Ireland", "Austria", "Norway", "Poland", "Slovenia", "Belgium", "Estonia", "Finland", "Italy", "Portugal", "Greece", "Romania", "Ukraine", "Belarus", "Croatia", "Cyprus", "Czechia", "Georgia", "Hungary", "Iceland", "Latvia", "Lithuania", "Russia", "South Asia", "India", "Pakistan", "Bangladesh", "Nepal", "Latin America", "Mexico", "Brazil", "Colombia", "Argentina", "Chile", "Peru", "Panama", "Puerto Rico", "Venezuela", "Costa Rica", "Ecuador", "Uruguay", "Southeast Asia", "Singapore", "Indonesia", "Philippines", "Malaysia", "Vietnam", "Thailand", "Africa", "Nigeria", "Kenya", "Ghana", "Senegal", "Ethiopia", "South Africa", "Uganda", "Benin", "Democratic Republic of the Congo", "Ivory Coast", "Namibia", "Rwanda", "Seychelles", "Tanzania", "Zambia", "Middle East and North Africa", "Israel", "Egypt", "United Arab Emirates", "Saudi Arabia", "Turkey", "Morocco", "Algeria", "Armenia", "Bahrain", "Iraq", "East Asia", "China", "Hong Kong", "South Korea", "Japan", "Oceania", "Australia", "New Zealand" ] } }, "teamSizeMin": { "title": "👥 Team Size - Minimum", "enum": [ "1", "5", "10", "25", "50", "100", "250", "500" ], "type": "string", "description": "Minimum team size filter", "default": "1" }, "teamSizeMax": { "title": "👥 Team Size - Maximum", "enum": [ "25", "50", "100", "250", "500", "1000", "1,000+" ], "type": "string", "description": "Maximum team size filter", "default": "1,000+" }, "appVideoPublic": { "title": "🎥 Has Public Application Video", "type": "boolean", "description": "Companies with public application videos", "default": false }, "demoDayVideoPublic": { "title": "🎬 Has Public Demo Day Video", "type": "boolean", "description": "Companies with demo day videos", "default": false }, "appAnswers": { "title": "📝 Has Application Answers", "type": "boolean", "description": "Companies with public application answers", "default": false }, "questionAnswers": { "title": "❓ Has Bonus Questions", "type": "boolean", "description": "Companies with bonus question answers", "default": false } } }, "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 } } } } } } } } } } ```