# Nutritionist Email Scraper (`contacts-api/nutritionist-email-scraper`) Actor Nutritionist email scraper to extract verified nutritionist emails from clinics, wellness centers, and healthcare directories πŸ“§πŸ₯— Perfect for healthcare outreach, partnerships, and targeted wellness industry lead generation. Fast, accurate, and reliable. - **URL**: https://apify.com/contacts-api/nutritionist-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, 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₯— Nutritionist Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted nutritionist email list. This actor searches Google Maps for nutritionists and related services in any region, crawls their websites, and extracts verified nutritionist email addresses, phone numbers, and social profiles β€” all in one clean, export-ready dataset. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Nutritionist" 2. Add one or more target locations β€” e.g., "New York, NY" 3. Set your desired maximum number of businesses with emails 4. Hit Run and get your nutritionist leads in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is the Nutritionist Email Scraper? The Nutritionist Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Wellness and healthcare marketing teams - Dietitians, nutrition coaches, and practice owners - B2B outreach professionals at supplements and health-tech firms - Researchers and consultants building a nutritionist list It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated list of nutritionist email addresses ready for immediate use. Whether you need it as a nutritionist lead finder, a nutritionist lead scraper, or a nutritionist email extractor, this nutritionist email scraper covers all three in a single automated run. It also works as a nutritionist contact scraper and nutritionist contact finder, making it ideal for teams that need a repeatable, scalable workflow to collect nutritionist leads across multiple cities. --- #### πŸ“¦ What Data Does It Extract? - Business Name β€” Practice or company name from Google Maps - Website β€” Official website URL - Phone β€” Primary phone from the listing or website - Full Address β€” Complete address as listed - City β€” Parsed city component - State β€” State or region component - ZIP β€” Postal code where available - Country Code β€” ISO country code where available - Emails β€” All public nutritionist email addresses extracted from website pages - Additional Phones β€” Extra phone numbers discovered during crawl - Social Media Links β€” Facebook, Instagram, LinkedIn, Twitter, and more - Email Count β€” Total unique emails found per business - Pages Scraped β€” Number of website pages crawled per domain - Rating β€” Average Google Maps star rating - Reviews β€” Total number of Google reviews - Latitude / Longitude β€” Geo-coordinates for mapping and filtering - Place ID β€” Google Maps place identifier - Scrape Status β€” Per-record status: success, partial, or error These structured outputs let you enrich your CRM and build a high-quality nutritionist list with minimal cleanup. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Nutritionist", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Nutritionist", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters - googleMapsSearchTerm (String) β€” Required - Business type to search β€” e.g., "Nutritionist", "sports nutritionist", "dietitian" - googleMapsLocation (Array) β€” Required - One or more locations β€” e.g., \["New York", "Austin, Texas"] - maxBusinesses (Number) β€” Optional - Max businesses with emails to return (1–1,000). Actor stops as soon as the target is reached - scrapeMaxBusinessesPerLocation (Boolean) β€” Optional - If true, applies the cap per location; if false, it’s a combined total across all locations - proxyConfiguration (Object) β€” Optional - Proxy settings. Strongly recommended for large or multi-location runs *** #### πŸ“€ Sample Output ```json [ { "name": "Green Plate Nutrition NYC", "website": "https://www.greenplatenutrition.com", "phone": "+1 212-555-0142", "full_address": "221 W 37th St, New York, NY 10018, United States", "city": "New York", "state": "NY", "zip": "10018", "country_code": "US", "scraped_emails": [ "info@greenplatenutrition.com", "appointments@greenplatenutrition.com" ], "scraped_phones": ["+1 212-555-0142", "+1 212-555-0177"], "scraped_social_media": [ "facebook:https://facebook.com/greenplatenutrition", "instagram:https://instagram.com/greenplatenyc", "linkedin:https://www.linkedin.com/company/green-plate-nutrition" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.9, "total_reviews": 86, "lat": 40.7531, "long": -73.9896, "place_id": "ChIJN1-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 This workflow functions as a nutritionist data scraper for discovery and a nutritionist email extractor for contact harvesting β€” delivering ready-to-use nutritionist leads in one automated pipeline. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints local providers and delivers hyper‑local nutritionist leads for your campaigns. ##### πŸ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footer sections to surface every available public nutritionist email and phone number. ##### 🧭 All-In-One Discovery + Extraction Use it as a nutritionist lead finder, nutritionist lead scraper, or nutritionist contact finder β€” the pipeline handles both discovery and extraction at scale. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your nutritionist list stays clean and accurate β€” no messy cleanup required after export. ##### 🌎 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 nutritionist list fast. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks β€” ideal for agency-level outreach using this nutritionist email scraper. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to continuously grow and refresh your nutritionist leads with reliable, up‑to‑date contact data. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for independent nutrition practices, dietitian groups, and wellness clinics. Use the actor as a nutritionist email finder to fuel cold email sequences and outbound. ##### πŸ§‘β€βš•οΈ Practice Marketing & Patient Acquisition Create geo-targeted campaigns with verified nutritionist email addresses and phones. Ideal for clinics, private practitioners, and multi-location brands. ##### 🧩 Partnerships & Referrals Find dietitians and nutrition coaches for referrals or brand partnerships. The nutritionist contact scraper reveals contacts you won’t see on job boards. ##### 🏒 Corporate Wellness & Benefits Source nutritionist leads for corporate wellness programs, health coaching, and benefits networks with a repeatable nutritionist lead scraper workflow. ##### πŸ§ͺ Supplements, Health-Tech, and Labs Generate outreach lists for product demos and affiliate recruitment. Treat it as your nutritionist data scraper to populate CRMs with verified contacts. ##### πŸ“š Research & Market Mapping Build a region-by-region nutritionist list for surveys, studies, or market analysis with consistent, structured outputs. *** #### 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 businesses with emails - Large (20+ cities/states): 800–1,000+ per run Run multiple times across different regions to continuously grow your nutritionist list without hitting any hard platform limits. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - JSON β€” Full structured data download - CSV / Excel β€” Import directly into spreadsheets - Apify API β€” Stream results into your own apps or workflows - Zapier / Make β€” Trigger automations when new leads are found - Webhooks β€” 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 from your nutritionist email extractor. *** #### 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 "Nutritionist Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Nutritionist" or a niche variant like "sports nutritionist", "functional nutritionist", or "registered dietitian". 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\ 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 - Combined cap: The total across all locations combined - 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 Nutritionist 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 (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected with this nutritionist contact finder. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts nutritionist email addresses that are publicly visible on business websites β€” practice 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 of nutritionist leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your nutritionist 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 leads fresh with an automated nutritionist lead scraper. Q: Is a proxy required?\ A: Not for small runs, but proxies are strongly recommended for 200+ business runs to avoid rate limits and ensure the nutritionist data scraper remains stable. Q: How is this different from manual Google searching?\ A: Manual search is slow and inconsistent, and doesn’t extract emails at scale. This nutritionist email finder 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 nutritionist leads on a recurring basis with the nutritionist contact scraper workflow. *** #### 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 (e.g., sports nutritionists, dietitians) - Bulk or enterprise run support - CRM and automation integrations Built for wellness marketers, agencies, and outreach teams who need accurate nutritionist leads at scale β€” fast. Use this nutritionist email scraper to build a dependable nutritionist list and accelerate pipeline growth. 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": "Nutritionist", "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": "Nutritionist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/nutritionist-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": "Nutritionist", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/nutritionist-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": "Nutritionist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/nutritionist-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/nutritionist-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nutritionist Email Scraper", "description": "Nutritionist email scraper to extract verified nutritionist emails from clinics, wellness centers, and healthcare directories πŸ“§πŸ₯— Perfect for healthcare outreach, partnerships, and targeted wellness industry lead generation. Fast, accurate, and reliable.", "version": "1.0", "x-build-id": "n5fuf8ExRYsRi6Qoc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~nutritionist-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-nutritionist-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~nutritionist-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-nutritionist-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~nutritionist-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-nutritionist-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": "Nutritionist" }, "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 } } } } } } } } } } ```