# Geriatrician Email Scraper (`contacts-api/geriatrician-email-scraper`) Actor Geriatrician email scraper to extract verified geriatric physician emails from hospitals, senior care clinics, medical practices, and healthcare directories πŸ“§πŸ‘΄πŸ©Ί Perfect for healthcare outreach, recruitment, partnerships, and geriatric medicine lead generation. - **URL**: https://apify.com/contacts-api/geriatrician-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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§“ Geriatrician Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted geriatrician list. This actor searches Google Maps for geriatricians across any city, crawls their websites, and extracts publicly available geriatrician email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready dataset. Built for teams that need verified geriatrician leads fast β€” use it as your geriatrician email extractor, geriatrician contact finder, and geriatrician data scraper in a single automated workflow. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Geriatrician" 2. Add one or more target locations β€” e.g., "New York", "Chicago, Illinois" 3. Optionally 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 Geriatrician Email Scraper? The Geriatrician Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Healthcare marketing and outreach teams - Staffing and recruiting agencies in geriatrics - B2B sales professionals targeting clinics and hospital departments - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract public contact data β€” producing an accurate, deduplicated geriatrician list ready for immediate use. Whether you need it as a geriatrician lead finder, a geriatrician lead scraper, or a geriatrician email finder β€” this geriatrician email scraper unifies all three in one run. It helps you find every available geriatrician email, phone, and social link tied to real-world practices and specialists. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice or provider 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 geriatrician email addresses discovered during crawl | | 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 | This structured output is ideal for CRM enrichment, outreach automation, and building a high-quality geriatrician list at scale. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Geriatrician", "googleMapsLocation": ["New York"] } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Geriatrician", "googleMapsLocation": [ "New York", "Chicago, Illinois", "Miami, Florida" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type to search β€” e.g., "Geriatrician", "geriatric specialist" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"] | | `maxBusinesses` | Number | ❌ No | Target businesses with emails to return (1–1,000). Scrape stops when reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location. If false, uses a combined total across all locations | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs to avoid rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "Riverdale Geriatrics Clinic", "website": "https://www.riverdalegeriatrics.com", "phone": "+1 212-555-0146", "full_address": "2450 Hudson Pkwy, New York, NY 10463, United States", "city": "New York", "state": "NY", "zip": "10463", "country_code": "US", "scraped_emails": [ "info@riverdalegeriatrics.com", "appointments@riverdalegeriatrics.com" ], "scraped_phones": ["+1 212-555-0146", "+1 212-555-0172"], "scraped_social_media": [ "facebook:https://facebook.com/riverdalegeriatrics", "linkedin:https://www.linkedin.com/company/riverdale-geriatrics" ], "emails_found": 2, "pages_scraped": 18, "avg_rating": 4.7, "total_reviews": 96, "lat": 40.8893, "long": -73.9095, "place_id": "ChIJ9-EXAMPLEID", "scrape_status": "success" }, { "name": "Downtown Senior Care Associates", "website": "https://www.dscassociates.com", "phone": "+1 646-555-0190", "full_address": "110 Broadway, New York, NY 10006, United States", "city": "New York", "state": "NY", "zip": "10006", "country_code": "US", "scraped_emails": [ "contact@dscassociates.com" ], "scraped_phones": ["+1 646-555-0190"], "scraped_social_media": [ "twitter:https://twitter.com/dscassociates", "instagram:https://instagram.com/dscassociates" ], "emails_found": 1, "pages_scraped": 9, "avg_rating": 4.5, "total_reviews": 54, "lat": 40.7075, "long": -74.0113, "place_id": "ChIJ2-EXAMPLEID2", "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 actor is built to function as a discovery engine and a Geriatrician Email Scraper in one pipeline β€” ideal for turning maps listings into usable geriatrician leads. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints local practices and hospital-affiliated providers β€” delivering hyper-local geriatrician leads for your campaigns. ##### πŸ” Deep Website Crawl Goes beyond the Google listing. Crawls homepages, contact pages, about pages, and footer sections to surface every public geriatrician 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 multi-market geriatrician list without manual work. ##### 🧹 Smart De-Duplication Removes duplicate emails and normalizes domains so your outreach data stays clean β€” no messy cleanup after export. Ideal when using the actor as a geriatrician contact scraper. ##### πŸ“Š Structured, CRM-Ready Output All results arrive normalized with consistent field names. Drop them straight into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool for your geriatrician leads. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks β€” essential for agency workflows and recurring geriatrician data scraper jobs. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute or budget when using it as a geriatrician email extractor. ##### πŸ”„ Schedulable & Repeatable Run it daily, weekly, or monthly to continuously grow and refresh your geriatrician list and keep your pipeline full of fresh geriatrician leads. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists targeting private practices, specialty clinics, and hospital departments. Use it as your geriatrician lead finder to fuel targeted sequences and build trust with relevant geriatrician leads. ##### πŸ§‘β€βš•οΈ Healthcare Staffing & Recruiting Identify clinics and departments hiring or expanding. The geriatrician lead scraper surfaces contacts you can’t easily find on job boards. ##### πŸ“£ Local & Regional Marketing Create geo-targeted campaigns with verified geriatrician email and phone data pulled directly from provider websites by the geriatrician contact finder. ##### 🧩 Partnerships & Referrals Find complementary providers (primary care groups, home health agencies, memory care centers) for referral networks β€” use the geriatrician contact scraper to compile decision-maker inboxes. ##### πŸ“š Academic Research & Surveys Quickly assemble a regional geriatrician list for questionnaires, public health studies, or outreach to clinical leaders. ##### 🏒 Agency Client Delivery Run repeatable weekly scrapes and deliver fresh geriatrician leads to clients β€” white-label the results and integrate with their CRMs. ##### πŸ—ƒοΈ CRM Enrichment & Data Hygiene Enrich existing records with missing emails, phones, and social links. Ideal when repurposing the actor as a geriatrician email finder or geriatrician data scraper. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large regional database β€” results depend on: - Number of locations added - Search term breadth (narrow vs. broad specialty) - 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 geriatrician list without hitting hard 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 leads 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 "Geriatrician Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term\ Enter "Geriatrician" or a variant like "geriatric specialist" or "senior care physician". - Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "Austin, Texas". - Step 5 β€” Set Your Limit\ Optionally 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 geriatrician 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: | 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 by any geriatrician contact scraper or geriatrician email extractor. *** #### ❓ 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€” practice inboxes, admin contacts, and general inquiry addresses. It focuses on public geriatrician email endpoints. 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 when building a geriatrician list. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your geriatrician leads accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your pipeline supplied β€” perfect if you use this as a geriatrician lead finder. Q: What niches does the search term support?\ A: Any Google Maps searchable term β€” try "geriatric physician", "senior care clinic", "memory care specialist", or "internal medicine geriatrics". Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and to keep your geriatrician data scraper stable. 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 Google searching?\ A: Manual search is slow and inconsistent, and it doesn’t extract emails at scale. This geriatrician lead scraper automates discovery and extraction in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh geriatrician leads on a recurring basis. Q: Is this a geriatrician email finder or a geriatrician contact finder?\ A: Both. It discovers practices, crawls their sites, and returns verified emails and phones β€” functioning as a geriatrician email finder and a geriatrician contact finder in one. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? Email: scrapermindapi@gmail.com We’re happy to help with: - Custom input/output configurations - Niche-specific adaptations - Bulk or enterprise run support - Integration assistance *** Built for healthcare marketers, recruiters, and outreach teams who need accurate geriatrician leads at scale β€” let the Geriatrician Email Scraper turn listings into results 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": "Geriatrician", "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": "Geriatrician", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/geriatrician-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": "Geriatrician", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/geriatrician-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": "Geriatrician", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/geriatrician-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/geriatrician-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Geriatrician Email Scraper", "description": "Geriatrician email scraper to extract verified geriatric physician emails from hospitals, senior care clinics, medical practices, and healthcare directories πŸ“§πŸ‘΄πŸ©Ί Perfect for healthcare outreach, recruitment, partnerships, and geriatric medicine lead generation.", "version": "1.0", "x-build-id": "NX5quXacjFGHaLOJX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~geriatrician-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-geriatrician-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~geriatrician-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-geriatrician-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~geriatrician-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-geriatrician-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": "Geriatrician" }, "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 } } } } } } } } } } ```