# Real Estate Developers Email Scraper (`contacts-api/real-estate-developers-email-scraper`) Actor Real estate developers email scraper to extract verified emails from property developers, real estate development companies, construction firms, and real estate business directories πŸ“§πŸ’πŸ—οΈ Perfect for B2B outreach, investment opportunities, partnerships, and real estate lead generation. - **URL**: https://apify.com/contacts-api/real-estate-developers-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Real estate, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### πŸ—οΈ Real Estate Developers Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted real estate developers email list. This actor searches Google Maps for developer firms across any city, crawls their websites, and extracts verified emails, phone numbers, and social profiles β€” all in one clean, export-ready dataset designed to generate qualified real estate developers leads fast. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Real Estate Developers" 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 Real Estate Developers Email Scraper? The Real Estate Developers Email Scraper is a purpose-built lead generation and contact discovery tool for: - Construction and building product vendors - Architects, engineering, and planning firms - PropTech and SaaS vendors selling to developers - Investors, consultants, and B2B outreach teams It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated real estate developers list ready for immediate use. Whether you need it as a real estate developers email finder, a real estate developers lead finder, a real estate developers lead scraper, a real estate developers contact finder, or a real estate developers contact scraper β€” this actor covers all five in one automated run. It also functions as a real estate developers email extractor and a reliable real estate developers data scraper to help you source real estate developers leads at scale. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Company or developer 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 emails extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter/X, etc. | | 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 | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Real Estate Developers", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Real Estate Developers", "googleMapsLocation": [ "New York", "Miami, Florida", "Los Angeles, California" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type to search β€” e.g., "Real Estate Developers", "property developers", "construction developers" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"] | | `maxBusinesses` | Number | ❌ No | Max businesses with emails to return (1–1,000). Actor stops as soon as the target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies `maxBusinesses` per location; if false, applies a combined total across all locations | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs to improve reliability | *** #### πŸ“€ Sample Output ```json [ { "name": "Skyline Urban Development", "website": "https://www.skylineurbandev.com", "phone": "+1 212-555-0148", "full_address": "450 Lexington Ave, New York, NY 10017, United States", "city": "New York", "state": "NY", "zip": "10017", "country_code": "US", "scraped_emails": [ "info@skylineurbandev.com", "bids@skylineurbandev.com" ], "scraped_phones": ["+1 212-555-0148", "+1 212-555-0172"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/skyline-urban-development", "instagram:https://www.instagram.com/skylineurbandev" ], "emails_found": 2, "pages_scraped": 11, "avg_rating": 4.6, "total_reviews": 38, "lat": 40.7539, "long": -73.9750, "place_id": "ChIJK-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 developer listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Projects) 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 real estate developers email scraper is built to work as both a finder (discovery) and an extractor (collection) in a single pipeline β€” effectively acting as a real estate developers lead scraper to turn search results into contacts you can use immediately. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints developer firms in your exact target areas β€” delivering hyper-local real estate developers leads you can action today. ##### πŸ” Deep Website Crawl Goes beyond listings. Crawls homepages, projects, team, contact, and about pages to surface every available public real estate developers email and phone number. ##### 🧭 Flexible Cap Control Choose a combined cap across all cities or enforce a per-location cap to evenly distribute your real estate developers list. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your exports stay clean and accurate. ##### πŸ“Š Structured, CRM-Ready Output Normalized field names map cleanly into CRMs and outreach tools β€” no manual cleanup. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting β€” perfect for agency pipelines and ongoing campaigns. ##### ⏱️ Stop at Your Target The actor halts as soon as your `maxBusinesses` limit is reached β€” no wasted compute. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to maintain a fresh real estate developers list and keep your pipeline full. ##### 🧰 Multi-Role Utility Use it as a real estate developers contact scraper, a real estate developers email extractor, or a real estate developers data scraper depending on your workflow. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for general contractors, project managers, and business development teams at developer firms. Use this real estate developers contact finder to source decision-maker inboxes that convert. ##### 🧱 Building Materials & Services Supply HVAC, glazing, insulation, energy systems, or legal/consultancy services? Feed your outbound with verified real estate developers email contacts and book more demos. ##### πŸ§‘β€πŸŽ¨ Architecture, Engineering & Planning Identify developers by region and portfolio type (residential, commercial, mixed-use). Pair the real estate developers lead finder with your niche messaging for higher reply rates. ##### πŸ’° Investment & Acquisition Surface contacts at active developers to share deal flow or joint-venture opportunities. The actor doubles as a real estate developers email finder for fund managers and brokers. ##### πŸ§ͺ Market Research & Analyst Work Compile a geographic, segment-specific dataset with emails and phones for surveys or benchmarking. Treat it as a dependable real estate developers data scraper for consistent research outputs. ##### 🏒 Agency Client Delivery Run scheduled scrapes and deliver fresh real estate developers leads to clients on a predictable cadence β€” a repeatable real estate developers lead scraper workflow. *** #### πŸ“ˆ How Many Results Can You Get? Scale from local to multi-state campaigns β€” results depend on: - Number of locations added - Search term breadth (e.g., β€œReal Estate Developers” vs. β€œmultifamily developers”) - Website density and email visibility - `maxBusinesses` 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 campaigns across different regions to continuously grow your real estate developers list without hitting hard platform limits. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: | Option | Details | |---|---| | JSON | Full structured data download | | CSV / Excel | Import directly into spreadsheets | | Apify API | Stream results into your own apps or workflows | | Zapier / Make | Trigger automations when new leads are found | | Webhooks | Push results to your CRM or pipeline on run completion | Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that accepts CSV/JSON imports. *** #### πŸ› οΈ Step-By-Step Usage Guide Step 1 β€” Log in to Apify\ Create a free account or sign in at apify.com. Step 2 β€” Open the Actor\ Search for "Real Estate Developers Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Real Estate Developers" or a niche variant like "multifamily developers", "commercial developers", or "property development firms". Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "Austin, Texas", "Miami, Florida". 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 real estate developers email scraper do the work. Step 9 β€” Export\ Download as JSON, CSV, or Excel β€” or pull via API straight into your stack. *** #### βš–οΈ Legal & Compliance This actor collects only publicly available business contact information β€” emails and phone numbers published openly on websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: | Regulation | Region | |---|---| | GDPR | European Union | | CAN-SPAM Act | United States | | CASL | Canada | | PECR | United Kingdom | This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts emails that are publicly visible on business websites β€” general inboxes and role-based addresses via the real estate developers email extractor mode. 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 and more predictable real estate developers leads per city. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your exports clean and accurate, whether you’re using it as a real estate developers contact scraper or as a real estate developers data scraper. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your contact lists fresh β€” great when using the tool as a real estate developers lead finder. Q: What search terms are supported?\ A: Any Google Maps searchable term such as "Real Estate Developers", "property developers", "industrial developers", or "mixed-use development". Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and maintain stability at scale. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook. Q: How is this different from manual search?\ A: Manual search is slow and inconsistent. This actor automates discovery and extraction β€” working as a real estate developers contact finder and real estate developers email finder β€” to deliver results in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh real estate developers 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 - Bulk or enterprise run support - Integration assistance *** *Built for vendors, service providers, and growth teams who need accurate developer contacts 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": "Real Estate Developers", "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": "Real Estate Developers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/real-estate-developers-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": "Real Estate Developers", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/real-estate-developers-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": "Real Estate Developers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/real-estate-developers-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/real-estate-developers-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Real Estate Developers Email Scraper", "description": "Real estate developers email scraper to extract verified emails from property developers, real estate development companies, construction firms, and real estate business directories πŸ“§πŸ’πŸ—οΈ Perfect for B2B outreach, investment opportunities, partnerships, and real estate lead generation.", "version": "1.0", "x-build-id": "5vMbsb98Bezj661AW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~real-estate-developers-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-real-estate-developers-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~real-estate-developers-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-real-estate-developers-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~real-estate-developers-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-real-estate-developers-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": "Real Estate Developers" }, "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 } } } } } } } } } } ```