# Ent Nurse Practitioners Email Scraper (`contacts-api/ent-nurse-practitioners-email-scraper`) Actor ENT nurse practitioners email scraper to extract verified NP emails from hospitals, clinics, and healthcare directories πŸ“§πŸ‘‚ Perfect for healthcare outreach, recruitment, and targeted medical lead generation. - **URL**: https://apify.com/contacts-api/ent-nurse-practitioners-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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‘‚ Ent Nurse Practitioners Email Scraper β€” Find Verified ENT Contacts in Minutes > The fastest way to build a targeted ent nurse practitioners list. This ent nurse practitioners email scraper searches Google Maps for ENT nurse practitioners across any location, crawls their websites, and extracts ent nurse practitioners email addresses, phone numbers, and social media profiles β€” producing clean, export-ready ent nurse practitioners leads. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Ent Nurse Practitioners" 2. Add one or more target locations β€” e.g., "New York", "Los Angeles, California" 3. Set your desired number of businesses with emails 4. Hit Run and get your results in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is the Ent Nurse Practitioners Email Scraper? The ent nurse practitioners email scraper is a purpose-built lead generation and contact discovery tool designed for: - Healthcare marketing teams - Staffing and recruiting agencies - B2B outreach professionals and agencies - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” generating accurate, deduplicated ent nurse practitioners leads you can use immediately. Whether you need it as an ent nurse practitioners lead finder, an ent nurse practitioners lead scraper, or an ent nurse practitioners email finder β€” this actor covers all three in a single automated run. It also functions as an ent nurse practitioners contact scraper for surfacing phones and social links tied to each practice. --- #### πŸ“¦ What Data Does It Extract? The ent nurse practitioners data scraper collects structured contact and location details that are ready for outreach and analysis: | 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 ent nurse practitioners email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, X/Twitter, 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 | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Ent Nurse Practitioners", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Ent Nurse Practitioners", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | googleMapsSearchTerm | String | βœ… Yes | Business type to search β€” e.g., "Ent Nurse Practitioners", "ENT clinics" | | googleMapsLocation | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Miami, Florida"] | | maxBusinesses | Number | βœ… Yes | Max businesses with emails to return (1–1,000). The actor stops when reached | | scrapeMaxBusinessesPerLocation | Boolean | ❌ No | If true, applies the cap per location; if false, uses a combined total across locations | | proxyConfiguration | Object | ❌ No | Proxy settings. Strongly recommended for larger runs to avoid rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "ClearSound ENT Nurse Practitioners", "website": "https://www.clearsound-entnp.com", "phone": "+1 212-555-0177", "full_address": "250 W 57th St, New York, NY 10107, United States", "city": "New York", "state": "NY", "zip": "10107", "country_code": "US", "scraped_emails": [ "info@clearsound-entnp.com", "appointments@clearsound-entnp.com" ], "scraped_phones": ["+1 212-555-0177", "+1 212-555-0142"], "scraped_social_media": [ "facebook:https://facebook.com/clearsoundentnp", "linkedin:https://www.linkedin.com/company/clearsound-ent-np/" ], "emails_found": 2, "pages_scraped": 11, "avg_rating": 4.7, "total_reviews": 89, "lat": 40.7661, "long": -73.9819, "place_id": "ChIJ-EXAMPLE-PLACEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under the Hood - Step 1 β†’ Search Google Maps using your term and 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 This ent nurse practitioners email scraper works as both a discovery engine and a full contact extraction pipeline, so you can go from search to send-ready data in one run. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint providers by city, state, or region. Build hyper-local ent nurse practitioners leads for targeted outreach and regional campaigns, then roll up results into a cohesive ent nurse practitioners list. ##### πŸ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, and footers to surface every available public email and phone number β€” acting as a dependable ent nurse practitioners email extractor for busy teams. ##### 🧭 Multi-Keyword Flexibility Use specialty variants (e.g., β€œENT clinic”, β€œotolaryngology nurse practitioner”, β€œhearing and balance center”) to broaden discovery while keeping results focused on your audience. ##### 🧹 Smart De-Duplication Automatically deduplicates emails per domain and normalizes outputs, ensuring your CRM gets clean, ready-to-use records from the ent nurse practitioners contact scraper. ##### πŸ“Š Structured, CRM-Ready Output Normalized fields mean drop-in imports to HubSpot, Salesforce, Apollo, Instantly, or any outreach stack. Ideal when using the tool as an ent nurse practitioners contact finder for fast campaign activation. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support helps maintain stability on large runs β€” essential for agency-scale usage of any ent nurse practitioners data scraper. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, predictable costs. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to keep your ent nurse practitioners list fresh without manual effort. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Generate verified ent nurse practitioners leads for cold email, phone outreach, or paid social campaigns. Use it as your ent nurse practitioners lead finder to accelerate pipeline. ##### πŸ§‘β€βš•οΈ Healthcare Staffing & Recruiting Identify clinics and advanced practice providers actively hiring or growing. The ent nurse practitioners lead scraper helps surface targets beyond job boards. ##### πŸ“£ Local & Regional Marketing Launch geo-targeted campaigns leveraging emails and phones collected by the ent nurse practitioners contact scraper. Perfect for vendors serving ENT practices. ##### 🀝 Partnership & Referral Development Find complementary providers (audiology, allergy, facial plastics) and build referral pipelines with accurate contact info. ##### πŸ“š Research, Surveys, and Public Health Use the ent nurse practitioners data scraper to compile contact lists for surveys, academic research, or regional mapping studies. ##### πŸ—ƒοΈ CRM Enrichment Fill gaps in your database (emails, phones, social links). Combine with the ent nurse practitioners email finder to improve match rates and deliverability. ##### πŸ—ΊοΈ Market Mapping & Territory Planning Benchmark density and quality across regions using ratings, reviews, and location coordinates to prioritize outreach and expand your ent nurse practitioners list. *** #### πŸ“ˆ How Many Results Can You Get? Scale depends on: - Number of locations added - Search term breadth (niche vs. general) - Website density and email visibility in each market - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout Typical Output Ranges | Campaign Size | Businesses with Emails | |---|---| | Small (1–3 cities) | 20 – 100 | | 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 ent nurse practitioners leads without hitting hard limits. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: | Option | Details | |---|---| | 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 leads are found | | Webhooks | Push results to your CRM or pipeline on run completion | Plug into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON. Use the output from this ent nurse practitioners data scraper to drive automated sequences end-to-end. *** #### 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 "Ent Nurse Practitioners Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term\ Enter "Ent Nurse Practitioners" or a niche variant like "otolaryngology nurse practitioner" or "ENT clinic". - Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "Austin, Texas", "Seattle, Washington". - Step 5 β€” Set Your Limit\ Choose how many businesses with emails you want β€” 20 for a test, up to 1,000 for full campaigns. - Step 6 β€” Choose Scaling Strategy\ β€’ Combined cap: One total across all locations\ 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\ Click Start and let the Ent Nurse Practitioners Email Scraper do the work. Use the results as an ent nurse practitioners email finder for fast exports into your CRM. *** #### 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: | Regulation | Region | |---|---| | 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, functioning as an ent nurse practitioners email extractor for open web data. 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 of ent nurse practitioners leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain, keeping your database clean and reliable for campaigns using any ent nurse practitioners contact finder. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your ent nurse practitioners list fresh. Q: Which niches does the search term support?\ A: Any Google Maps searchable term β€” try "ENT clinic", "otolaryngology nurse practitioner", "hearing and balance center", or "sinus and allergy clinic" to broaden the ent nurse practitioners lead finder scope. Q: Are proxies required?\ A: Not for small runs, but proxies are strongly recommended for 200+ business runs to avoid rate limits when using the ent nurse practitioners lead scraper at scale. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook. Q: How is this different from manual searching?\ A: Manual search is slow and inconsistent. This ent nurse practitioners contact scraper automates discovery and extraction β€” delivering results in minutes. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build around the Ent Nurse Practitioners Email Scraper? Email: scrapermindapi@gmail.com We’re happy to help with: - Custom input/output configurations - Niche-specific adaptations (e.g., audiology, allergy, facial plastics) - Bulk or enterprise run support - Integration assistance for CRMs and outreach tools Built for healthcare marketers, staffing professionals, and outreach teams who need accurate ent nurse practitioners email data and reliable ent nurse practitioners leads at scale β€” fast. For any help or custom solution, contact via this mail: scrapermindapi@gmail.com # 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": "Ent Nurse Practitioners", "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": "Ent Nurse Practitioners", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/ent-nurse-practitioners-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": "Ent Nurse Practitioners", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/ent-nurse-practitioners-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": "Ent Nurse Practitioners", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/ent-nurse-practitioners-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/ent-nurse-practitioners-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ent Nurse Practitioners Email Scraper", "description": "ENT nurse practitioners email scraper to extract verified NP emails from hospitals, clinics, and healthcare directories πŸ“§πŸ‘‚ Perfect for healthcare outreach, recruitment, and targeted medical lead generation.", "version": "1.0", "x-build-id": "zSeuah5bYeAmfu9BQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~ent-nurse-practitioners-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-ent-nurse-practitioners-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~ent-nurse-practitioners-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-ent-nurse-practitioners-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~ent-nurse-practitioners-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-ent-nurse-practitioners-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": "Ent Nurse Practitioners" }, "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 } } } } } } } } } } ```