# Physician Assistants Email Scraper (`contacts-api/physician-assistants-email-scraper`) Actor Physician assistants email scraper to extract verified physician assistant (PA) emails from hospitals, medical clinics, healthcare practices, and professional directories ๐Ÿ“ง๐Ÿฉบ Perfect for healthcare outreach, recruitment, partnerships, and medical lead generation. - **URL**: https://apify.com/contacts-api/physician-assistants-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Jobs - **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 ### ๐Ÿฉบ Physician Assistants Email Scraper โ€” Find Verified Leads in Minutes > The fastest way to build a targeted physician assistants list and verified physician assistants leads. This actor searches Google Maps for Physician Assistants in your chosen locations, crawls their websites, and extracts public physician assistants email addresses, phone numbers, and social media profiles โ€” all in one clean, export-ready dataset. This physician assistants data scraper streamlines discovery and contact extraction from end to end. --- #### ๐Ÿš€ Quick Start 1. Enter your search term โ€” e.g., "Physician Assistants" 2. Add one or more target locations โ€” e.g., "New York", "Los Angeles" 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. --- #### ๐Ÿ’ก What Is the Physician Assistants Email Scraper? The Physician Assistants Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Medical device and pharma sales teams - Healthcare staffing and recruiting agencies - B2B outreach professionals and growth marketers - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data โ€” producing an accurate, deduplicated physician assistants list ready for immediate use. Whether you need a physician assistants lead finder, a physician assistants lead scraper, a physician assistants email finder, or a physician assistants email extractor โ€” this actor covers all four in a single automated run. It also doubles as a physician assistants contact scraper and physician assistants contact finder so you can quickly identify and reach the right practices and teams. --- #### ๐Ÿ“ฆ 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 street address as listed | | City / State / ZIP | Parsed location components | | Country Code | ISO country code where available | | Emails | All public physician assistants email addresses discovered during the crawl | | Additional Phones | Extra phone numbers found across the domain | | Social Media Links | Facebook, Instagram, LinkedIn, X/Twitter, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total count 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 | --- #### โš™๏ธ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Physician Assistants", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Physician Assistants", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | googleMapsSearchTerm | String | Yes | Enter the business type or niche to search โ€” e.g., "Physician Assistants", "urgent care", "family medicine clinic". | | googleMapsLocation | Array | Yes | One or more target locations โ€” e.g., \["New York", "Austin, Texas"]. | | maxBusinesses | Number | Yes | Target number of businesses with emails to find (1โ€“1,000). The run stops as soon as this target is 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 for reliable large-scale scraping. Strongly recommended for bigger campaigns. | *** #### ๐Ÿ“ค Sample Output ```json [ { "name": "Manhattan PA Associates", "website": "https://www.manhattanpaassociates.com", "phone": "+1 212-555-0174", "full_address": "225 W 34th St, New York, NY 10001, United States", "city": "New York", "state": "NY", "zip": "10001", "country_code": "US", "scraped_emails": [ "info@manhattanpaassociates.com", "careers@manhattanpaassociates.com" ], "scraped_phones": ["+1 212-555-0174", "+1 212-555-0192"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/manhattan-pa-associates", "facebook:https://www.facebook.com/manhattanpaassociates" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 86, "lat": 40.7518, "long": -73.9925, "place_id": "ChIJ-EXAMPLEPLACEID", "scrape_status": "success" } ] ``` *** #### ๐Ÿ”ง How It Works โ€” Under the Hood ``` Step 1 โ†’ Search Google Maps using your term + location Step 2 โ†’ Collect business listings (name, address, phone, website) Step 3 โ†’ Visit each website and crawl key pages (Home, Contact, About, etc.) Step 4 โ†’ Extract public emails, phone numbers, and social media links Step 5 โ†’ Deduplicate and normalize all contact data Step 6 โ†’ Return structured results ready for export or API consumption ``` The Physician Assistants Email Scraper functions as both a discovery engine and a physician assistants contact scraper, returning clean, normalized contact data for immediate outreach. This physician assistants data scraper minimizes noise by deduplicating emails per domain and stopping exactly at your target. *** #### โœจ Key Features ##### ๐ŸŽฏ Precise Location Targeting Enter any city, state, or region. The actor pinpoints relevant practices and departments in your exact target areas โ€” ideal for geo-targeted physician assistants leads. ##### ๐Ÿ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public physician assistants email and phone number. Perfect if you need a reliable physician assistants email extractor. ##### ๐Ÿงญ Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap โ€” perfect for building a large, multi-market physician assistants list while keeping distribution balanced. ##### ๐Ÿงน Smart De-Duplication Automatically removes duplicate emails per domain so your results stay clean and accurate โ€” no messy cleanup required. Works great alongside a physician assistants lead scraper workflow. ##### ๐Ÿ“Š Structured, CRM-Ready Output Normalized fields with consistent naming make it easy to drop into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool. Use it as your physician assistants contact finder to enrich records. ##### ๐Ÿ›ก๏ธ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks โ€” ideal for agency-level physician assistants leads campaigns. ##### โฑ๏ธ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached โ€” saving compute and budget. ##### ๐Ÿ”„ Schedulable & Repeatable Set it to run daily, weekly, or monthly to continuously refresh your pipeline โ€” an always-on physician assistants lead finder for new opportunities. *** #### ๐ŸŽฏ Use Cases - B2B Outreach & Sales - Build pitch lists for medical device, pharma, or SaaS selling into clinics and hospitals. Use this Physician Assistants Email Scraper to fuel cold email sequences with verified physician assistants leads. - Healthcare Staffing & Recruiting - Identify practices hiring PAs or departments expanding teams. The physician assistants lead finder uncovers contacts beyond job boards. - Insurance Networks & Provider Relations - Map practices for network development and verify contacts with the physician assistants contact finder. - Local & Regional Marketing - Create geo-targeted campaigns with clean emails and phones sourced directly from websites โ€” no manual copy/paste. - Academic & Clinical Research - Quickly gather public contact info for surveys and outreach to PA practices and associations. - Agency Client Delivery - Operate as a repeatable physician assistants lead scraper and deliver fresh lists weekly to clients. - CRM Enrichment - Fill in missing emails, phone numbers, and social links to complete your physician assistants list before outreach. *** #### ๐Ÿ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large regional database โ€” results depend on: - Number of locations added - Search term breadth (narrow vs broad niche) - 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 (1โ€“3 cities): 20โ€“100 businesses with emails - Medium (5โ€“15 cities): 200โ€“600 businesses with emails - Large (20+ cities / states): 800โ€“1,000+ per run Run multiple times across different regions to continuously grow your physician assistants list without hitting hard platform limits. *** #### ๐Ÿ”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 records 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. *** #### ๐Ÿ› ๏ธ Step-by-Step Usage Guide - Step 1 โ€” Log In to Apify Create a free account or sign in at apify.com. - Step 2 โ€” Open the Actor Search for "Physician Assistants Email Scraper" in the Apify Store and click Try for free. - Step 3 โ€” Set Your Search Term Enter "Physician Assistants" or a niche variant like "urgent care", "primary care", or "orthopedic clinic". - Step 4 โ€” Add Target Locations Enter one or more locations โ€” e.g., "New York", "Austin, Texas", "Miami, Florida". - Step 5 โ€” Set Your Limit Choose how many businesses with emails you want โ€” 20 for a quick test, up to 1,000 for a full campaign. - Step 6 โ€” Choose Scaling Strategy - Combined cap: One total across all locations - Per-location cap: Applies your limit independently to each city - Step 7 โ€” Enable Proxies Turn on Apify Proxy for stable, uninterrupted crawling at scale. - Step 8 โ€” Run Click Start and let the Physician Assistants Email Scraper do the work. - Step 9 โ€” Export Download as JSON, CSV, or Excel โ€” or pull via API straight into your stack. *** #### โš–๏ธ Legal & Compliance This actor collects only publicly available business contact information โ€” 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: - 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. *** #### โ“ 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 โ€” practice inboxes, admin contacts, and general inquiry addresses. It focuses on public physician assistants email listings. 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 physician assistants leads clean and accurate. Q: Can I schedule recurring runs? A: Absolutely. Use Apify's built-in scheduler to run weekly or monthly and keep your pipeline fresh. Q: How is this different from manual Google searching? A: Manual search is slow, inconsistent, and doesn't extract emails at scale. This physician assistants email scraper automates the entire workflow โ€” from discovery to contact extraction โ€” in minutes. Q: Can it work as a physician assistants email finder or physician assistants email extractor? A: Yes. It crawls key pages and footers to surface public emails, so it functions effectively as both a physician assistants email finder and a physician assistants email extractor. Q: Can agencies use this as a physician assistants contact scraper or contact finder? A: Yes. Agencies can run it for clients as a physician assistants contact scraper and physician assistants contact finder, delivering fresh lists on a recurring basis. Q: Is a proxy required? A: Not for small runs, but we strongly recommend Apify Proxy for 200+ businesses to avoid rate limits. Q: What export formats are available? A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhooks. *** #### ๐Ÿง‘โ€๐Ÿ’ป 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 sales teams, recruiters, and growth marketers who need accurate physician assistants leads at scale โ€” fast โ€” using the Physician Assistants Email Scraper. 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": "Physician Assistants", "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": "Physician Assistants", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/physician-assistants-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "Physician Assistants", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/physician-assistants-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Physician Assistants", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/physician-assistants-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/physician-assistants-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Physician Assistants Email Scraper", "description": "Physician assistants email scraper to extract verified physician assistant (PA) emails from hospitals, medical clinics, healthcare practices, and professional directories ๐Ÿ“ง๐Ÿฉบ Perfect for healthcare outreach, recruitment, partnerships, and medical lead generation.", "version": "1.0", "x-build-id": "84afuOqNDuhZnqBjS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~physician-assistants-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-physician-assistants-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~physician-assistants-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-physician-assistants-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~physician-assistants-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-physician-assistants-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": "Physician Assistants" }, "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 } } } } } } } } } } ```