# Landscape Architect Email Scraper (`contacts-api/landscape-architect-email-scraper`) Actor Landscape architect email scraper to extract verified architect emails from design firms, landscaping companies, and business directories πŸ“§πŸŒΏ Perfect for B2B outreach, partnerships, and architecture industry lead generation. - **URL**: https://apify.com/contacts-api/landscape-architect-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 0 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 ### 🌿 Landscape Architect Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted landscape architect list. This actor searches Google Maps for landscape architecture firms in any city, crawls their websites, and extracts verified landscape architect email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready dataset. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Landscape Architect" 2. Add one or more target locations β€” e.g., "New York" 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 Landscape Architect Email Scraper? The Landscape Architect Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - B2B sales teams selling to landscape architecture firms - Software and product vendors in AEC (architecture, engineering, construction) - Marketing agencies and consultants working with design practices - Researchers and data analysts compiling market intelligence It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated landscape architect list ready for immediate use. Use it as a landscape architect lead finder, a landscape architect email extractor, or a landscape architect contact scraper β€” this actor covers all three in a single automated run. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Firm or practice 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 landscape architect email addresses discovered during the crawl | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | This output is standardized and ready for workflows that require a landscape architect data scraper, landscape architect contact finder, or CRM enrichment. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Landscape Architect", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Landscape Architect", "googleMapsLocation": [ "New York", "Boston, Massachusetts", "Philadelphia, Pennsylvania" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type or niche to search β€” e.g., "Landscape Architect", "landscape design", "urban design" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Chicago, Illinois"] | | `maxBusinesses` | Integer | ❌ No | Max businesses with emails to return (1–1,000). The crawler stops when the target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the `maxBusinesses` cap per location. If false, the cap is across all locations combined | | `proxyConfiguration` | Object | ❌ No | Proxy settings for stability at scale. Strongly recommended for larger runs | *** #### πŸ“€ Sample Output ```json [ { "name": "Greenline Studio Landscape Architecture", "website": "https://www.greenlinestudio.com", "phone": "+1 212-555-0142", "full_address": "215 W 20th St, New York, NY 10011, United States", "city": "New York", "state": "NY", "zip": "10011", "country_code": "US", "scraped_emails": [ "hello@greenlinestudio.com", "projects@greenlinestudio.com" ], "scraped_phones": ["+1 212-555-0142", "+1 212-555-0177"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/greenlinestudio", "instagram:https://www.instagram.com/greenline_studio" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 64, "lat": 40.7422, "long": -73.9985, "place_id": "ChIJEXAMPLEPLACEID", "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, Services, 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 functions as both a landscape architect lead finder and a landscape architect lead scraper β€” from discovery to contact extraction in one pass. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint firms in any city, state, or region. Build hyper-local landscape architect leads for your campaigns and outreach. ##### πŸ” Deep Website Crawl Goes beyond listings. Crawls homepages, contact pages, about pages, team bios, and footers to surface every available public landscape architect email and phone number. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or per-location cap β€” perfect for building a regional or national landscape architect list. ##### 🧹 Smart De-Duplication Automatically removes duplicates per domain so your data stays clean β€” ideal for any landscape architect email finder or CRM ingestion pipeline. ##### πŸ“Š Structured, CRM-Ready Output Normalized fields and consistent types make it easy to pipe into HubSpot, Salesforce, Apollo, or Google Sheets. Great for a landscape architect contact scraper or enrichment tool. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support helps avoid rate-limiting and IP blocks for stable, large-scale runs β€” essential when using a landscape architect data scraper at volume. ##### ⏱️ Stop at Your Target The landscape architect email scraper halts as soon as your `maxBusinesses` limit is reached β€” no wasted compute and clear budget control. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to keep your landscape architect leads fresh and your lists continuously growing. *** #### 🎯 Use Cases - B2B Outreach & Sales - Build targeted lists of firms for SaaS demos, BIM/CAD tools, plant sourcing, or materials suppliers using a landscape architect lead finder. - Vendor & Manufacturer Marketing - Identify practices by region to pitch new products, continuing education, or case studies β€” powered by a landscape architect email extractor. - Local & Regional Marketing - Create geo-targeted campaigns for design services, 3D rendering, or drone surveying with verified contacts from a landscape architect contact finder. - Partnerships & Referrals - Find complementary professionals (civil engineers, urban planners, architects) to develop referral networks with a reliable landscape architect contact scraper. - Recruiting & Staffing - Compile contact points for candidate outreach to studios and multidisciplinary firms using a landscape architect lead scraper. - Research & Market Mapping - Build a landscape architect list for academic studies, RFP watchlists, or competitive analysis with a repeatable landscape architect data scraper. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large multi-city dataset β€” output depends on: - Number of locations added - Breadth of search terms (e.g., β€œLandscape Architect”, β€œlandscape design”, β€œurban design”, β€œsite planning”) - 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 landscape architect leads and maintain a living landscape architect list. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: | Option | Details | |---|---| | JSON | Full structured data download | | CSV / Excel | Import directly into spreadsheets and CRMs | | 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 stack. Ideal when pairing a landscape architect email finder with automated campaigns. *** #### 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 "Landscape Architect Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term\ Enter "Landscape Architect" or niche variants like "landscape design studio", "urban design firm", or "site planning". - Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "San Francisco, California", "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\ Click Start and let the Landscape Architect 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 tool collects only publicly available business contact information β€” landscape architect email addresses 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 outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: | Regulation | Region | |---|---| | GDPR | European Union | | CAN-SPAM Act | United States | | CASL | Canada | | PECR | United Kingdom | This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions - Does this scrape private or personal emails?\ No. It only extracts landscape architect email addresses that are publicly visible on business websites β€” studio inboxes, admin contacts, and general inquiry addresses. - Can I search multiple cities in one run?\ Yes. Add as many locations as needed. Use per-location capping for even geographic distribution across your landscape architect leads. - Does it deduplicate results?\ Yes. Emails are deduplicated per domain to keep your landscape architect list accurate and ready for upload. - Can I schedule recurring runs?\ Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your data fresh β€” perfect for a landscape architect lead scraper that feeds your CRM. - Which niches do the search terms support?\ Any Google Maps-searchable term, including "landscape architect", "landscape design", "urban design", "site planning", or "landscape architecture firm". - Are proxies required?\ Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits when using a landscape architect data scraper. - What export formats are available?\ JSON, CSV, and Excel. You can also consume results via the Apify API or webhook β€” ideal for a landscape architect contact finder workflow. - How is this different from manual Google searching?\ Manual search is slow and inconsistent. This actor automates discovery, crawling, extraction, and normalization β€” a complete landscape architect email extractor in minutes. - Can agencies white-label or resell this?\ Yes. Run it on behalf of clients and deliver fresh landscape architect leads on a recurring basis. *** #### 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., urban design, site planning, environmental design) - Bulk or enterprise run support - Integration assistance with CRMs and outreach tools *** Built for marketers, sales teams, and product vendors who need accurate landscape architect email contacts and reliable landscape architect leads at scale β€” fast. For any help or custom solution, contact via this mail: scrapermindapi@gmail.com # Actor input Schema ## `googleMapsSearchTerm` (type: `string`): Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists'). ## `googleMapsLocation` (type: `array`): Target geographic location for the email scraper (e.g., 'Miami, Florida'). ## `maxBusinesses` (type: `integer`): Target number of businesses to find (1-1000). The scraper will stop when this target is reached. ## `scrapeMaxBusinessesPerLocation` (type: `boolean`): If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for large-scale scraping. ## Actor input object example ```json { "googleMapsSearchTerm": "Landscape Architect", "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": "Landscape Architect", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/landscape-architect-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": "Landscape Architect", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/landscape-architect-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": "Landscape Architect", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/landscape-architect-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/landscape-architect-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Landscape Architect Email Scraper", "description": "Landscape architect email scraper to extract verified architect emails from design firms, landscaping companies, and business directories πŸ“§πŸŒΏ Perfect for B2B outreach, partnerships, and architecture industry lead generation.", "version": "1.0", "x-build-id": "znjcU9ZFKcYUNp56P" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~landscape-architect-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-landscape-architect-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~landscape-architect-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-landscape-architect-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~landscape-architect-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-landscape-architect-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": "Landscape Architect" }, "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 } } } } } } } } } } ```