# Veterinarian Email Scraper (`contacts-api/veterinarian-email-scraper`) Actor Veterinarian email scraper to extract verified veterinarian emails from animal hospitals, veterinary clinics, pet care centers, and veterinary directories πŸ“§πŸΎ Perfect for veterinary outreach, recruitment, partnerships, and animal healthcare lead generation. - **URL**: https://apify.com/contacts-api/veterinarian-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 ### 🐾 Veterinarian Email Scraper β€” Find Verified Vet Contacts Fast > The fastest way to build targeted veterinarian leads. This actor searches Google Maps for veterinary clinics across any city, visits their websites, and extracts verified veterinarian email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready veterinarian list. With a streamlined pipeline, this veterinarian email scraper cuts research time from hours to minutes. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Veterinarian" or "Animal Hospital" 2. Add one or more target locations β€” e.g., "New York", "Miami, Florida" 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 Veterinarian Email Scraper? The Veterinarian Email Scraper is a purpose-built contact discovery and lead generation tool for veterinary markets. It combines Google Maps discovery with deep website crawling to extract public contact details and produce a ready-to-use dataset for outreach and analysis. Use it as a: - veterinarian lead finder to discover clinics in your target regions - veterinarian lead scraper to pull verified contacts at scale - veterinarian email finder to surface all public inboxes posted on clinic sites - veterinarian contact finder for phones and social profiles - lightweight veterinarian data scraper to normalize and export structured results Whether you’re building a regional prospecting campaign or enriching existing records, this tool produces accurate, deduplicated outputs you can feed directly into your sales or marketing workflows. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice or clinic name from Google Maps | | Website | Official website URL | | Phone | Primary phone from the listing or website | | Full Address | Complete address string | | City / State / ZIP | Parsed location components | | Country Code | ISO country code when available | | Emails | All public veterinarian email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter/X, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | Fields map to the dataset as: - name, website, phone, full_address, city, state, zip, country_code - scraped_emails, scraped_phones, scraped_social_media - emails_found, pages_scraped, avg_rating, total_reviews - lat, long, place_id, scrape_status --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Veterinarian", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Veterinarian", "googleMapsLocation": [ "New York", "Miami, Florida", "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., "Veterinarian", "animal hospital", "pet clinic". | | googleMapsLocation | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"]. | | maxBusinesses | Number | ❌ No | Max businesses with emails to return (1–1000). The run stops when the 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. Strongly recommended for large runs to avoid rate limits. | *** #### πŸ“€ Sample Output ```json [ { "name": "Eastside Animal Care", "website": "https://www.eastsideanimalcare.com", "phone": "+1 212-555-0142", "full_address": "410 Lexington Ave, New York, NY 10017, United States", "city": "New York", "state": "NY", "zip": "10017", "country_code": "US", "scraped_emails": [ "info@eastsideanimalcare.com", "appointments@eastsideanimalcare.com" ], "scraped_phones": ["+1 212-555-0142", "+1 212-555-0188"], "scraped_social_media": [ "facebook:https://facebook.com/eastsideanimalcare", "instagram:https://instagram.com/eastsideanimalcare" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 233, "lat": 40.7527, "long": -73.9733, "place_id": "ChIJX-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 clinic listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Footer) 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 ``` Built to operate as a reliable veterinarian email extractor and veterinarian contact scraper in a single automated pipeline β€” fast discovery plus deep on-site extraction. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint clinics in your exact target areas β€” city, state, or multi-region campaigns β€” and generate high-quality veterinarian leads ready for outreach. ##### πŸ” Deep Website Crawl Goes beyond listings to crawl contact, about, and footer sections β€” surfacing every published veterinarian email and phone number you can lawfully collect. ##### 🧭 Finder + Scraper in One Works as both a veterinarian lead scraper and a veterinarian email finder, so you don’t need separate tools for discovery and extraction. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes outputs for clean imports. ##### 🌎 Multi-Location Scaling Run dozens of cities at once. Choose a combined cap or a per-location cap β€” ideal for building a comprehensive veterinarian list across markets. ##### πŸ›‘οΈ Proxy-Ready Reliability Built-in proxy support ensures stable large-scale runs β€” perfect for agencies and teams using a veterinarian contact scraper on recurring schedules. ##### πŸ“Š Structured, CRM-Ready Output Consistent field names map directly into HubSpot, Salesforce, Apollo, Instantly, and other tools β€” no reformatting required. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales - Build pitch lists of independent clinics, animal hospitals, and emergency vets. - Use it as your veterinarian lead finder to fuel high-conversion cold email campaigns with verified contact data. ##### πŸ§‘β€βš•οΈ Hiring & Partnerships - Identify clinics for staffing outreach or referral partnerships. - Combine the veterinarian contact finder with city targeting to engage practice managers and owners. ##### πŸ“£ Local & Regional Marketing - Launch geo-targeted campaigns using public emails and phones. - Ideal for agencies running a recurring veterinarian contact scraper to populate regional pipelines. ##### πŸ—ƒοΈ CRM Enrichment & Data Cleaning - Enrich existing accounts with missing emails, phones, and social links. - Treat it as a veterinarian data scraper for routine refreshes before outreach. ##### πŸ“š Market Research & Benchmarking - Analyze ratings, reviews, and density by city/state. - Compile a reliable veterinarian list for surveys, studies, or competitive tracking. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a multi-state database β€” results depend on: - Number of locations added - Search term breadth (e.g., β€œveterinarian” vs. β€œexotic animal hospital”) - Website density and email visibility in each market - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout Typical ranges per run: - Small (1–3 cities): 20–100 businesses with emails - Medium (5–15 cities): 200–600 - Large (20+ cities / states): 800–1,000+ per run Run multiple regions to grow your veterinarian leads consistently with a dependable veterinarian data scraper process. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - JSON: Full structured data download - CSV / Excel: Spreadsheet-friendly exports - Apify API: Stream results into your apps or workflows - Zapier / Make: Trigger automations when new contacts land - 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 Sign up or sign in at apify.com. - Step 2 β€” Open the Actor Search for "Veterinarian Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term Enter "Veterinarian" or a niche variant like "animal hospital", "pet clinic", "emergency vet", or "mobile vet". - 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 β€’ Combined cap: 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 πŸš€ Click Start and let the veterinarian 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: - 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. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal inboxes?\ A: No. It only extracts emails that are publicly visible on business websites β€” typical clinic or admin addresses found by the veterinarian email extractor. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as you need. Use per-location capping for even geographic distribution of veterinarian leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain for clean lists suitable for import and tracking. Q: Is this both a finder and a scraper?\ A: Yes. It works as a veterinarian lead scraper and a veterinarian email finder in the same workflow β€” discovery plus extraction. Q: Do I need proxies?\ A: Not for small runs, but proxies are strongly recommended for 200+ business runs to avoid rate limits and ensure stability. Q: What niches does the search term support?\ A: Any Google Maps searchable term, such as "veterinarian", "animal hospital", "pet clinic", "emergency vet", or "mobile vet". Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhooks. Q: Can agencies use this for recurring delivery?\ A: Absolutely. Many teams schedule the veterinarian contact scraper weekly and ship new contacts to clients on a cadence. Q: How is this different from manual searching?\ A: Manual research is slow and inconsistent. The veterinarian contact finder automates discovery, extraction, and formatting end-to-end. Q: Can I enrich an existing database?\ A: Yes. Use the actor to find missing emails, phones, and social links, then merge by domain or place\_id to maintain a high-quality veterinarian list. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? - Custom input/output configurations - Niche-specific adaptations - Bulk or enterprise run support - Integration assistance 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": "Veterinarian", "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": "Veterinarian", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/veterinarian-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": "Veterinarian", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/veterinarian-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": "Veterinarian", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/veterinarian-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/veterinarian-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Veterinarian Email Scraper", "description": "Veterinarian email scraper to extract verified veterinarian emails from animal hospitals, veterinary clinics, pet care centers, and veterinary directories πŸ“§πŸΎ Perfect for veterinary outreach, recruitment, partnerships, and animal healthcare lead generation.", "version": "1.0", "x-build-id": "bEinQuhoQaDLSv0n7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~veterinarian-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-veterinarian-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~veterinarian-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-veterinarian-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~veterinarian-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-veterinarian-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": "Veterinarian" }, "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 } } } } } } } } } } ```