# Home Health Care Nurses Email Scraper (`contacts-api/home-health-care-nurses-email-scraper`) Actor Home health care nurses email scraper to extract verified nurse emails from home healthcare agencies, nursing services, and healthcare directories πŸ“§πŸ πŸ©Ί Perfect for healthcare outreach, recruitment, and home care lead generation. - **URL**: https://apify.com/contacts-api/home-health-care-nurses-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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.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 ### πŸ₯ Home Health Care Nurses Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted home health care nurses email and phone database. This home health care nurses email scraper searches Google Maps for home health nursing agencies and visiting nurse services across any city, crawls their websites, and extracts verified contacts β€” turning discovery into qualified home health care nurses leads and delivering a clean, export-ready home health care nurses list. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Home Health Care Nurses" 2. Add one or more target locations β€” e.g., "New York", "Miami, Florida" 3. Optionally set how many businesses with emails you want 4. Hit Run and get your results in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is The Home Health Care Nurses Email Scraper? The Home Health Care Nurses Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Healthcare marketing teams - Home health agencies and franchisors - Staffing and recruiting firms - B2B outreach professionals - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated home health care nurses list ready for immediate use. Whether you need a home health care nurses lead finder, a home health care nurses email finder, or a home health care nurses lead scraper, this tool covers all three in a single automated run. It also functions as a home health care nurses email extractor and home health care nurses contact finder to surface emails, phones, and social links β€” plus a home health care nurses contact scraper and home health care nurses data scraper for reliable, structured output. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice or company name from Google Maps | | Website | Official website URL | | Phone | Primary phone from the listing or website | | Full Address | Complete address as listed | | City / State / ZIP | Parsed location components | | Country Code | ISO country code where available | | Emails | All public emails extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter/X, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | Field names in the dataset: - name, website, phone, full_address, city, state, zip, country_code - scraped_emails, scraped_phones, scraped_social_media - emails_found, pages_scraped, avg_rating, total_reviews - lat, long, place_id, scrape_status --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Home Health Care Nurses", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Home Health Care Nurses", "googleMapsLocation": [ "New York", "Miami, Florida", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | googleMapsSearchTerm | String | Yes | Business type or niche to search β€” e.g., "Home Health Care Nurses", "visiting nurses", "home health agency" | | googleMapsLocation | Array | Yes | One or more locations β€” e.g., \["New York", "Miami, Florida"] | | maxBusinesses | Number | No | Target number of businesses with emails to return (1–1,000). The run stops when reached | | scrapeMaxBusinessesPerLocation | Boolean | No | If true, applies the cap per location. If false, caps the total across all locations | | proxyConfiguration | Object | No | Proxy settings. Recommended for larger runs to avoid rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "ComfortCare Home Nursing", "website": "https://www.comfortcarehomenursing.com", "phone": "+1 212-555-0144", "full_address": "445 Madison Ave, New York, NY 10022, United States", "city": "New York", "state": "NY", "zip": "10022", "country_code": "US", "scraped_emails": [ "info@comfortcarehomenursing.com", "referrals@comfortcarehomenursing.com" ], "scraped_phones": ["+1 212-555-0144", "+1 212-555-0188"], "scraped_social_media": [ "facebook:https://facebook.com/comfortcarehomenursing", "linkedin:https://www.linkedin.com/company/comfortcare-home-nursing" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.6, "total_reviews": 43, "lat": 40.7587, "long": -73.9753, "place_id": "ChIJNY-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under The Hood ``` Step 1 β†’ Search Google Maps using your term + location Step 2 β†’ Collect business listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, etc.) Step 4 β†’ Extract public emails, phone numbers, and social media links Step 5 β†’ Deduplicate and normalize all contact data Step 6 β†’ Return structured results ready for export or API consumption ``` The pipeline functions as a home health care nurses lead finder (discovery) and a home health care nurses email extractor (extraction) in a single automated run. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints providers in your exact target areas β€” delivering hyper-local home health care nurses leads aligned to your territories. ##### πŸ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public home health care nurses email and phone number. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap β€” perfect for building a large, multi-market home health care nurses list without manual effort. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your contacts stay clean and accurate β€” ideal for outreach sequences and nurturing home health care nurses leads. ##### πŸ“Š Structured, CRM-Ready Output Normalized fields map cleanly into your CRM or marketing tools. The built-in formatting makes this a dependable home health care nurses data scraper for repeatable pipelines. ##### 🧭 Comprehensive Contact Footprints Extract website emails, alternative phones, and social links (Facebook, Instagram, LinkedIn, Twitter/X). Acts as both a home health care nurses contact scraper and a home health care nurses contact finder to maximize reachability. ##### πŸ›‘οΈ Proxy-Ready for Reliability First-class proxy support enables stable, large-scale runs without rate-limiting or IP blocks β€” essential for agency-level programs. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Set it to run daily, weekly, or monthly to continuously grow and refresh your contacts. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists targeting home health agencies, visiting nurse services, and private duty nursing. Use this as your home health care nurses lead scraper to fuel cold email and calling campaigns for fresh home health care nurses leads. ##### πŸ§‘β€βš•οΈ Healthcare Staffing & Recruiting Identify hiring managers and decision makers across in-home nursing providers. The pipeline doubles as a home health care nurses lead finder to source hard-to-find contacts beyond job boards. ##### πŸ“£ Local & Regional Marketing Launch geo-targeted campaigns with verified emails and phones pulled directly from provider websites to drive referrals and partnerships. ##### 🀝 Partnerships & Referral Networks Discover complementary organizations (hospitals, hospices, care coordinators, insurers) and connect faster with a reliable home health care nurses contact finder. ##### πŸ“š Academic Research & Surveys Compile contact info for studies, public health initiatives, or policy research with verified home health care nurses email and phone data. ##### 🏒 Agency Client Delivery Run repeatable weekly scrapes and deliver fresh home health care nurses leads to clients on a predictable schedule. ##### πŸ—ƒοΈ CRM Enrichment Top up missing emails, phones, and social profiles using a targeted home health care nurses email finder and, when needed, the email extractor workflow. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a massive regional database β€” results depend on: - Number of locations added - Search term breadth (niche vs. broad) - Website density and email visibility in each market - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout Typical output ranges: - Small (1–3 cities): 20–100 businesses with emails - Medium (5–15 cities): 200–600 - Large (20+ cities/states): 800–1,000+ per run Run multiple times across different regions to continuously grow your coverage without hitting hard platform limits. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - JSON: Full structured data download - CSV / Excel: Import directly into spreadsheets - Apify API: Stream results into your own apps or workflows - Zapier / Make: Trigger automations when new contacts are found - Webhooks: Push results to your CRM or pipeline on run completion Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that accepts CSV/JSON imports. *** #### πŸ› οΈ Step-By-Step Usage Guide - Step 1 β€” Log In To Apify Create a free account or sign in at apify.com. - Step 2 β€” Open The Actor Search for "Home Health Care Nurses Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term Enter "Home Health Care Nurses" or a niche variant like "visiting nurses", "home health agency", or "private duty nursing". - Step 4 β€” Add Target Locations Enter one or more city/state combos β€” e.g., "New York", "Miami, Florida", "Austin, Texas". - Step 5 β€” Set Your Limit Choose how many businesses with emails you want β€” 20 for a quick test, up to 1,000 for a full campaign. - Step 6 β€” Choose Scaling Strategy β€’ Combined cap: The total across all locations combined β€’ Per-location cap: Applies your limit independently to each city - Step 7 β€” Enable Proxies Turn on Apify Proxy for stable, uninterrupted crawling at scale. - Step 8 β€” Run πŸš€ Click Start and let the Home Health Care Nurses Email Scraper do the work. - Step 9 β€” Export Download as JSON, CSV, or Excel β€” or pull via API straight into your stack. *** #### βš–οΈ Legal & Compliance This actor collects only publicly available business contact information β€” emails and phone numbers published openly on websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: - GDPR (European Union) - CAN-SPAM Act (United States) - CASL (Canada) - PECR (United Kingdom) This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails? A: No. The actor only extracts emails that are publicly visible on business websites β€” shared inboxes, admin contacts, and general inquiry addresses. Q: Can I search multiple cities in one run? A: Yes. Add as many locations as needed. Use per-location capping for even geographic distribution. Q: Does it deduplicate results? A: Yes. Emails are deduplicated per domain to keep your list accurate and ready for outreach. Q: Can I schedule recurring runs? A: Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your contacts fresh. Q: What niches does the search term support? A: Any Google Maps searchable term β€” try "home health nurse", "visiting nurse service", "home health agency", "private duty nurse", or "in-home nursing services". Q: Are proxies required? A: Not for small runs, but they’re strongly recommended for 200+ business runs to avoid rate limits and maintain stability. Q: How is this different from manual searching? A: Manual search is slow and inconsistent. This workflow automates discovery and extraction in minutes, acting as a dependable home health care nurses contact scraper and contact finder in one. Q: Can agencies white-label or resell this? A: Yes. Run it on behalf of clients and deliver fresh contacts on a recurring basis. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build tailored to your territory or CRM? We’re happy to help with: - Custom input/output fields and field mapping - Niche-specific tuning (e.g., franchised home health networks) - Bulk or enterprise run support - Workflow and integration assistance (HubSpot, Salesforce, Apollo, Make/Zapier) For any help or custom solution, contact via this mail: scrapermindapi@gmail.com Built for healthcare marketers, staffing professionals, and outreach teams who need accurate contacts at scale β€” fast. # Actor input Schema ## `googleMapsSearchTerm` (type: `string`): Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists'). ## `googleMapsLocation` (type: `array`): Target geographic location for the email scraper (e.g., 'Miami, Florida'). ## `maxBusinesses` (type: `integer`): Target number of businesses to find (1-1000). The scraper will stop when this target is reached. ## `scrapeMaxBusinessesPerLocation` (type: `boolean`): If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for large-scale scraping. ## Actor input object example ```json { "googleMapsSearchTerm": "Home Health Care Nurses", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "scrapeMaxBusinessesPerLocation": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "googleMapsSearchTerm": "Home Health Care Nurses", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/home-health-care-nurses-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "googleMapsSearchTerm": "Home Health Care Nurses", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/home-health-care-nurses-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Home Health Care Nurses", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/home-health-care-nurses-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/home-health-care-nurses-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Home Health Care Nurses Email Scraper", "description": "Home health care nurses email scraper to extract verified nurse emails from home healthcare agencies, nursing services, and healthcare directories πŸ“§πŸ πŸ©Ί Perfect for healthcare outreach, recruitment, and home care lead generation.", "version": "1.0", "x-build-id": "u7VCIswNKtRwXgrPb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~home-health-care-nurses-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-home-health-care-nurses-email-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/contacts-api~home-health-care-nurses-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-home-health-care-nurses-email-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/contacts-api~home-health-care-nurses-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-home-health-care-nurses-email-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", "required": [ "googleMapsLocation", "googleMapsSearchTerm" ], "properties": { "googleMapsSearchTerm": { "title": "Search Term", "type": "string", "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').", "default": "Home Health Care Nurses" }, "googleMapsLocation": { "title": "Location", "type": "array", "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').", "default": [ "New York" ], "items": { "type": "string" } }, "maxBusinesses": { "title": "Maximum Businesses With Emails", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.", "default": 5 }, "scrapeMaxBusinessesPerLocation": { "title": "Scrape Max Businesses Per Location", "type": "boolean", "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Recommended for large-scale scraping." } } }, "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 } } } } } } } } } } ```