# Y Combinator Startups Scraper (`automation-lab/ycombinator-scraper`) Actor Extract Y Combinator startup data: company names, websites, descriptions, team sizes, batches, industries, and hiring status. Filter by batch (W24, S23), status, industry, or tags. Uses the official YC API — no proxy needed. Export as JSON, CSV, or Excel. - **URL**: https://apify.com/automation-lab/ycombinator-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Lead generation - **Stats:** 3 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Y Combinator Startups Scraper ### What does Y Combinator Startups Scraper do? **Y Combinator Startups Scraper** extracts structured data from the [Y Combinator startup directory](https://www.ycombinator.com/companies). It uses the official YC API to collect company profiles including names, websites, descriptions, team sizes, batch info, industries, funding status, and hiring data. The scraper covers **5,800+ YC-backed startups** from all batches (2005-present). Filter by batch (W24, S23), status (Active, Acquired, Public), industry, region, tags, or hiring status. No browser, no proxy, no login needed — pure HTTP API access. Try it now on Apify with the **"Start"** button — the prefilled input scrapes 25 AI startups in seconds. ### Who is Y Combinator Startups Scraper for? **Venture Capital & Angel Investors** - Track new YC batches as they launch to discover investment opportunities early - Filter by industry + status to find active startups in your investment thesis - Monitor acquired/public companies for exit pattern analysis **Sales & Business Development Teams** - Build targeted lead lists of YC-backed companies by industry and team size - Identify companies currently hiring (growing = budget for new tools) - Enrich with website URLs for outbound prospecting campaigns **Market Researchers & Analysts** - Analyze YC batch composition trends across industries and regions - Track startup survival rates by batch vintage - Study which industries YC is betting on each season **Recruiters & Talent Teams** - Find YC startups that are actively hiring - Target companies by team size (early-stage vs growth-stage) - Build lists of potential employer partners by industry ### Why use Y Combinator Startups Scraper? - **Reliable data source** — uses the official YC API, not fragile HTML scraping. No breakage when YC redesigns their website - **Complete coverage** — access all 5,800+ companies in the YC directory, including historical batches back to 2005 - **Rich filtering** — search by keyword, batch, status, industry, region, tags, hiring status, and top company designation - **No proxy or login needed** — the YC API is public and free. Zero anti-bot measures - **Pay only for what you scrape** — PPE pricing means you pay per company extracted, not per run - **API-first** — integrate with any workflow via the Apify API. Schedule runs, export to Google Sheets, trigger webhooks - **Fast** — HTTP-only actor runs at 256 MB. Scrapes hundreds of companies in seconds ### What data can you extract? Each Y Combinator company profile includes: | Field | Description | |-------|-------------| | `name` | Company name | | `slug` | URL slug on YC | | `website` | Company website URL | | `oneLiner` | Short company description | | `longDescription` | Full company description | | `teamSize` | Number of employees | | `batch` | YC batch (e.g., W24, S23, F25) | | `status` | Active, Acquired, Inactive, or Public | | `industries` | Array of industries (e.g., B2B, Healthcare, Fintech) | | `regions` | Geographic regions | | `locations` | Specific city/state/country | | `tags` | Tags (e.g., Artificial Intelligence, SaaS) | | `isHiring` | Whether the company is currently hiring | | `isTopCompany` | YC top company designation | | `smallLogoUrl` | Company logo URL | | `ycUrl` | Full YC profile URL | | `scrapedAt` | Timestamp of data extraction | ### How much does it cost to scrape Y Combinator startups? This Actor uses **pay-per-event** pricing — you pay only for what you scrape. No monthly subscription. All platform costs are **included**. | | Free | Starter ($29/mo) | Scale ($199/mo) | Business ($999/mo) | |---|---|---|---|---| | **Per company** | $0.0023 | $0.002 | $0.00156 | $0.0012 | | **100 companies** | $0.23 | $0.20 | $0.156 | $0.12 | | **1,000 companies** | $2.30 | $2.00 | $1.56 | $1.20 | | **All 5,800 companies** | $13.34 | $11.60 | $9.05 | $6.96 | Higher-tier plans get additional volume discounts. **Real-world cost examples:** | Query | Results | Duration | Cost (Free tier) | |---|---|---|---| | "AI" startups, 25 companies | 25 | ~3s | ~$0.06 | | W24 batch, all companies | ~50 | ~5s | ~$0.12 | | All active startups currently hiring | ~300 | ~15s | ~$0.70 | With the free $5 Apify credit, you can scrape **~2,100 companies** at no cost. ### How to scrape Y Combinator startups 1. Go to the [Y Combinator Startups Scraper](https://apify.com/automation-lab/ycombinator-scraper) page on Apify Store 2. Click **"Start"** to open the actor in Apify Console 3. Configure your search filters: - Enter a **search query** (e.g., "AI", "fintech") or leave empty for all companies - Select a **YC batch** (e.g., "W24") to focus on a specific cohort - Choose a **status** filter (Active, Acquired, Inactive, Public) - Toggle **Currently hiring only** to find growing companies 4. Set the **Max companies** limit (start small with 25 to preview results) 5. Click **"Start"** to run the scraper 6. Download results in JSON, CSV, Excel, or connect via API **Example input — scrape all W24 AI startups:** ```json { "searchQuery": "AI", "batch": "W24", "maxCompanies": 100 } ```` **Example input — find hiring startups in healthcare:** ```json { "industry": "Healthcare", "isHiring": true, "maxCompanies": 200 } ``` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQuery` | string | `""` | Search by company name or description | | `batch` | string | `""` | YC batch filter (e.g., W24, S23, F25) | | `status` | string | `""` | Company status: Active, Acquired, Inactive, Public | | `industry` | string | `""` | Industry filter (e.g., Healthcare, Fintech, B2B) | | `region` | string | `""` | Region filter (e.g., United States, Europe) | | `isHiring` | boolean | `false` | Only companies currently hiring | | `tags` | string | `""` | Tag filter (e.g., Artificial Intelligence, SaaS) | | `isTopCompany` | boolean | `false` | Only YC top companies | | `maxCompanies` | integer | `100` | Max companies to scrape (0 = unlimited) | ### Output example ```json { "id": 30837, "name": "AirCaps", "slug": "aircaps", "website": "https://aircaps.com", "smallLogoUrl": "https://bookface-images.s3.amazonaws.com/small_logos/839111803eb4ccce6e6e411847617a96d8d7d880.png", "oneLiner": "The AI copilot for in-person conversations.", "longDescription": "AirCaps is bringing AI assistance to in-person conversations...", "teamSize": 2, "ycUrl": "https://www.ycombinator.com/companies/aircaps", "batch": "F25", "status": "Active", "industries": ["Consumer"], "regions": ["United States of America", "America / Canada"], "locations": ["San Francisco, CA, USA"], "tags": ["Artificial Intelligence", "Productivity", "AI", "Conversational AI"], "badges": [], "isHiring": false, "isTopCompany": false, "scrapedAt": "2026-03-30T12:00:00.000Z" } ``` ### Tips for best results - **Start small** — use `maxCompanies: 25` for your first run to preview the data and estimate costs - **Use server-side filters first** — `searchQuery`, `batch`, `status`, `tags`, and `isHiring` are filtered server-side and run faster than `industry` or `region` (which require scanning all pages) - **Combine filters** — narrow down results by combining batch + status + tags for precise targeting - **Schedule weekly runs** — set up a scheduled run to track new YC companies as batches launch - **Export to Google Sheets** — use the Apify Google Sheets integration for automatic updates to your CRM or deal flow tracker - **All 5,800+ companies** — set `maxCompanies: 0` to scrape the entire YC directory (takes ~2 minutes) ### Integrations - **Y Combinator Scraper → Google Sheets** — automatically update your deal flow spreadsheet with new YC startups each week - **Y Combinator Scraper → Slack** — get notified when new companies match your investment criteria (e.g., Healthcare + hiring) - **Y Combinator Scraper → Zapier/Make** — trigger outbound email sequences when new startups appear in your target industry - **Y Combinator Scraper → CRM (HubSpot, Salesforce)** — enrich your pipeline with YC company data including website, team size, and description - **Scheduled runs** — run weekly to catch new batch announcements and company status changes - **Webhooks** — trigger downstream processing as soon as a scrape completes ### Using the Apify API You can access Y Combinator Startups Scraper programmatically using the Apify API. #### Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('automation-lab/ycombinator-scraper').call({ searchQuery: 'AI', batch: 'W24', maxCompanies: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_APIFY_TOKEN') run = client.actor('automation-lab/ycombinator-scraper').call(run_input={ 'searchQuery': 'AI', 'batch': 'W24', 'maxCompanies': 50, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items) ``` #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/automation-lab~ycombinator-scraper/runs?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"searchQuery": "AI", "batch": "W24", "maxCompanies": 50}' ``` ### Use with AI agents via MCP Y Combinator Startups Scraper is available as a tool for AI assistants that support the [Model Context Protocol (MCP)](https://docs.apify.com/platform/integrations/mcp). Add the Apify MCP server to your AI client — this gives you access to all Apify actors, including this one: #### Setup for Claude Code ```bash claude mcp add --transport http apify "https://mcp.apify.com?tools=automation-lab/ycombinator-scraper" ``` #### Setup for Claude Desktop, Cursor, or VS Code Add this to your MCP config file: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com?tools=automation-lab/ycombinator-scraper" } } } ``` Your AI assistant will use OAuth to authenticate with your Apify account on first use. #### Example prompts Once connected, try asking your AI assistant: - "Use automation-lab/ycombinator-scraper to find all AI startups from the W24 YC batch" - "Scrape Y Combinator companies that are currently hiring in healthcare" - "Get the full list of YC top companies with their websites and team sizes" Learn more in the [Apify MCP documentation](https://docs.apify.com/platform/integrations/mcp). ### Is it legal to scrape Y Combinator data? This actor accesses publicly available data from the Y Combinator company directory through their public API. The data is freely accessible without authentication. We follow ethical scraping practices: - Only access publicly available information - Use the official public API (no bypassing access controls) - Respect rate limits and server resources - Do not collect personal data beyond what companies voluntarily publish For more information, see the [Apify ethical web scraping guide](https://blog.apify.com/is-web-scraping-legal/). ### FAQ **How fast is the scraper?** Very fast — since it uses a direct API, there's no browser rendering or HTML parsing. It can scrape 100 companies in about 5 seconds and the entire 5,800+ company database in under 2 minutes. **How much does it cost to scrape all YC companies?** On the free tier, scraping all 5,800+ companies costs approximately $13.34. With the free $5 Apify credit, you can scrape about 2,100 companies at no cost. **Is this better than scraping the YC website directly?** Yes — this actor uses the official YC API, which is faster, more reliable, and less likely to break than HTML scraping. You get structured JSON data directly without any parsing. **Why do some companies have empty descriptions?** Some YC companies don't fill in their `longDescription` on the YC directory. The `oneLiner` field is almost always populated, but `longDescription` may be empty for newer or less active companies. **Why does the industry filter take longer?** The YC API doesn't support industry filtering server-side, so the scraper must scan all pages and filter locally. Use `searchQuery`, `batch`, `status`, or `tags` filters for faster results — those are processed server-side. ### Other startup and business scrapers - [Greenhouse Jobs Scraper](https://apify.com/automation-lab/greenhouse-jobs-scraper) — scrape job listings from Greenhouse-powered career pages - [Google Jobs Scraper](https://apify.com/automation-lab/google-jobs-scraper) — extract job postings from Google Jobs search - [LinkedIn Jobs Scraper](https://apify.com/automation-lab/linkedin-jobs-scraper) — scrape LinkedIn job listings - [ProductHunt Scraper](https://apify.com/automation-lab/producthunt-scraper) — extract products and launches from Product Hunt - [Clutch Scraper](https://apify.com/automation-lab/clutch-scraper) — scrape company profiles from Clutch.co - [Glassdoor Reviews Scraper](https://apify.com/automation-lab/glassdoor-reviews-scraper) — extract company reviews from Glassdoor # Actor input Schema ## `searchQuery` (type: `string`): Search by company name or description. Leave empty to scrape all companies. ## `batch` (type: `string`): Filter by YC batch (e.g., W24, S23, W22). Leave empty for all batches. ## `status` (type: `string`): Filter by company status. ## `industry` (type: `string`): Filter by industry (e.g., B2B, Healthcare, Fintech). Leave empty for all industries. ## `region` (type: `string`): Filter by region (e.g., United States of America, Europe). Leave empty for all regions. ## `isHiring` (type: `boolean`): Only include companies that are currently hiring. ## `tags` (type: `string`): Filter by tags (e.g., Artificial Intelligence, SaaS). Leave empty for all tags. ## `isTopCompany` (type: `boolean`): Only include YC top companies. ## `maxCompanies` (type: `integer`): Maximum number of companies to scrape. Set to 0 for unlimited. ## Actor input object example ```json { "searchQuery": "AI", "status": "", "isHiring": false, "isTopCompany": false, "maxCompanies": 25 } ``` # 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 = { "searchQuery": "AI", "batch": "", "status": "", "industry": "", "region": "", "tags": "", "maxCompanies": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/ycombinator-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 = { "searchQuery": "AI", "batch": "", "status": "", "industry": "", "region": "", "tags": "", "maxCompanies": 25, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/ycombinator-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 '{ "searchQuery": "AI", "batch": "", "status": "", "industry": "", "region": "", "tags": "", "maxCompanies": 25 }' | apify call automation-lab/ycombinator-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/ycombinator-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Y Combinator Startups Scraper", "description": "Extract Y Combinator startup data: company names, websites, descriptions, team sizes, batches, industries, and hiring status. Filter by batch (W24, S23), status, industry, or tags. Uses the official YC API — no proxy needed. Export as JSON, CSV, or Excel.", "version": "0.1", "x-build-id": "LzhdcCV8OlGikpJHC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~ycombinator-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-ycombinator-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~ycombinator-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-ycombinator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~ycombinator-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-ycombinator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search query", "type": "string", "description": "Search by company name or description. Leave empty to scrape all companies." }, "batch": { "title": "YC Batch", "type": "string", "description": "Filter by YC batch (e.g., W24, S23, W22). Leave empty for all batches." }, "status": { "title": "Company status", "enum": [ "", "Active", "Acquired", "Inactive", "Public" ], "type": "string", "description": "Filter by company status.", "default": "" }, "industry": { "title": "Industry", "type": "string", "description": "Filter by industry (e.g., B2B, Healthcare, Fintech). Leave empty for all industries." }, "region": { "title": "Region", "type": "string", "description": "Filter by region (e.g., United States of America, Europe). Leave empty for all regions." }, "isHiring": { "title": "Currently hiring only", "type": "boolean", "description": "Only include companies that are currently hiring.", "default": false }, "tags": { "title": "Tags", "type": "string", "description": "Filter by tags (e.g., Artificial Intelligence, SaaS). Leave empty for all tags." }, "isTopCompany": { "title": "Top companies only", "type": "boolean", "description": "Only include YC top companies.", "default": false }, "maxCompanies": { "title": "Max companies", "minimum": 0, "type": "integer", "description": "Maximum number of companies to scrape. Set to 0 for unlimited.", "default": 100 } } }, "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 } } } } } } } } } } ```