# Interior Designers Email Scraper (`contacts-api/interior-designers-email-scraper`) Actor Interior designers email scraper to extract verified designer emails from design firms, portfolios, and business directories πŸ“§πŸ  Perfect for B2B outreach, partnerships, and interior design lead generation. - **URL**: https://apify.com/contacts-api/interior-designers-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 1 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 ### 🎨 Interior Designers Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted interior designers list. This actor searches Google Maps for Interior Designers across any city, crawls their websites, and extracts public interior designers 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., "Interior Designers" 2. Add one or more target locations β€” e.g., "New York, New York" 3. Set your desired number of businesses with emails 4. Hit Run and get your interior designers leads in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is The Interior Designers Email Scraper? The Interior Designers Email Scraper is a purpose-built lead generation and contact discovery tool that combines Google Maps listing discovery with deep website crawling to extract publicly available contact data from interior design firms, studios, and consultancies. It’s ideal for: - B2B vendors supplying design firms (furniture, lighting, software, materials) - Agencies and SDR teams doing outreach to design studios - Market researchers and analysts building an interior designers list by city or region Use it as an interior designers lead finder to discover firms, an interior designers email finder to collect inboxes, or an interior designers lead scraper to automate contact extraction β€” all in a single run. It also functions as an interior designers contact scraper and interior designers contact finder, producing a clean, deduplicated interior designers list ready for outreach. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Company or studio name from Google Maps | | Website | Official website URL (when available) | | Phone | Primary phone from the listing or website | | Full Address | Complete address from the listing | | City / State / ZIP | Parsed location components where available | | Country Code | ISO country code if available | | Emails | All public interior designers email addresses extracted from website pages | | Additional Phones | Extra numbers found 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 | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Interior Designers", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Interior Designers", "googleMapsLocation": [ "New York, New York", "Los Angeles, California", "Chicago, Illinois" ], "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., `"Interior Designers"`, `"hospitality interior design"` | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., `["New York", "Austin, Texas"]` | | `maxBusinesses` | Number | ❌ No | Target number of businesses with emails to return (1–1,000). The run stops when this is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If `true`, applies the cap per location. If `false`, it's 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": "Studio Arc & Co", "website": "https://www.studioarcandco.com", "phone": "+1 212-555-0175", "full_address": "225 W 34th St, New York, NY 10122, United States", "city": "New York", "state": "NY", "zip": "10122", "country_code": "US", "scraped_emails": [ "hello@studioarcandco.com", "projects@studioarcandco.com" ], "scraped_phones": ["+1 212-555-0175", "+1 212-555-0112"], "scraped_social_media": [ "instagram:https://instagram.com/studioarcandco", "linkedin:https://linkedin.com/company/studio-arc-and-co" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 54, "lat": 40.7505, "long": -73.9934, "place_id": "ChIJO-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, Services, 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 ``` The pipeline operates as both an interior designers data scraper for discovery and an interior designers email extractor for contact capture β€” making the interior designers email scraper a single, end‑to‑end solution. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints design studios in your exact target areas β€” delivering hyper-local interior designers leads for outreach. ##### πŸ” Deep Website Crawl Goes beyond listings. Crawls homepages, contact pages, about pages, and footer sections to surface every available public interior designers email and phone number. Works great as an interior designers email extractor when your goal is inbox discovery. ##### 🌎 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 interior designers list. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your lists stay clean and accurate β€” no messy cleanup required after export. Ideal for teams using the actor as an interior designers contact scraper or interior designers contact finder. ##### πŸ“Š Structured, CRM-Ready Output Normalized fields with consistent naming. Drop data straight into HubSpot, Salesforce, Apollo, Instantly, or any outreach stack without reformatting. Perfect for workflows using an interior designers email finder. ##### 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 campaigns powered by the interior designers email scraper. ##### ⏱️ Stop At Your Target The actor halts as soon as your `maxBusinesses` limit is reached β€” no wasted compute, no overages. Efficient for any interior designers lead scraper workflow. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to refresh your interior designers leads and keep your interior designers list up to date. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for design studios, boutique firms, and hospitality specialists. Use it as an interior designers lead finder to power cold outreach and as an interior designers email finder to feed email tools. ##### πŸͺ‘ Supplier & Vendor Prospecting Furniture, lighting, flooring, textiles, and software vendors can quickly identify new accounts. An interior designers contact scraper helps you reach the right inboxes fast. ##### πŸ“£ Marketing & Partnerships Create geo-targeted campaigns with verified interior designers email contacts and phone numbers. Great for partnerships with showrooms, contractors, builders, and developers. ##### πŸ§‘β€πŸŽ“ Market Research & Analyst Projects Compile region-specific interior designers data for trend analysis. The interior designers data scraper provides consistent fields for dashboards and BI tools. ##### 🏒 Agency Client Delivery Run repeatable weekly scrapes, delivering fresh interior designers leads to clients on a predictable schedule β€” your team’s automated interior designers lead scraper. ##### πŸ—ƒοΈ CRM Enrichment & Cleaning Enrich existing records with missing emails, phones, and social links. Use it as an interior designers contact finder to complete and validate firm profiles. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large regional database β€” outcomes depend on: - Number of locations added - Search term breadth (niche vs. broad) - Website density and email visibility in each market - `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 across different regions to continuously grow your interior designers 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 contacts are found | | Webhooks | Push results to your CRM or pipelines on run completion | Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any tool that accepts CSV/JSON β€” whether you’re using this as an interior designers email extractor or a broader interior designers data scraper. *** #### 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 "Interior Designers Email Scraper" in the Apify Store and click Try for free. **Step 3 β€” Set Your Search Term**\ Enter "Interior Designers" or a niche variant like "luxury interior design", "hospitality interior design", or "kitchen and bath designer". **Step 4 β€” Add Target Locations**\ Enter one or more cities/states β€” e.g., "New York, 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 interior designers 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, admin contacts, and inquiries. It functions as an interior designers email extractor for public data only. 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 in your interior designers list. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your interior designers leads clean and accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your interior designers leads fresh. Q: Is a proxy required?\ A: Not for small runs, but proxies are strongly recommended for 200+ business runs to avoid rate limits β€” especially when using the tool as an interior designers lead scraper. Q: What niches does the search term support?\ A: Any Google Maps searchable term β€” try "residential interior design", "commercial interior design", "hospitality interior design", or "kitchen and bath designer". Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook, whether you’re using the actor as an interior designers contact scraper or an interior designers data scraper. Q: How is this different from manual Google searching?\ A: Manual search is slow, inconsistent, and doesn’t extract emails at scale. This automated interior designers lead finder handles discovery and contact extraction end-to-end. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh interior designers leads on a recurring basis. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? We’re happy to help with: - Custom input/output configurations - Niche-specific adaptations (e.g., hospitality or luxury segments) - Bulk or enterprise run support - Integration assistance (CRM, outreach, BI) Built for vendors, agencies, and outreach teams who need accurate interior designers 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": "Interior Designers", "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": "Interior Designers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/interior-designers-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": "Interior Designers", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/interior-designers-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": "Interior Designers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/interior-designers-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/interior-designers-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Interior Designers Email Scraper", "description": "Interior designers email scraper to extract verified designer emails from design firms, portfolios, and business directories πŸ“§πŸ  Perfect for B2B outreach, partnerships, and interior design lead generation.", "version": "1.0", "x-build-id": "viLiufbEdUv74jefI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~interior-designers-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-interior-designers-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/contacts-api~interior-designers-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-interior-designers-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/contacts-api~interior-designers-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-interior-designers-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Interior Designers" }, "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 } } } } } } } } } } ```