# Trucking Company Email Scraper (`contacts-api/trucking-company-email-scraper`) Actor Trucking company email scraper to extract verified emails from logistics providers, freight companies, and trucking businesses πŸ“§πŸšš Perfect for B2B outreach, partnerships, and transportation industry lead generation. - **URL**: https://apify.com/contacts-api/trucking-company-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 ### 🚚 Trucking Company Email Scraper β€” Find Verified Carrier Contacts Fast > The fastest way to build a targeted trucking company list. This trucking company email scraper searches Google Maps for trucking companies across any city, crawls their websites, and extracts verified trucking company 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., "Trucking Company" 2. Add one or more target locations β€” e.g., "Dallas, Texas" 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 Trucking Company Email Scraper? The trucking company email scraper is a purpose-built lead generation and contact discovery tool for carriers, logistics firms, and freight services. It’s designed for: - Freight brokers and 3PLs - Dispatch services and load boards - B2B sales and outreach teams - Market researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated trucking company list ready for immediate use. Whether you need it as a trucking company lead finder, a trucking company lead scraper, or a trucking company email finder β€” this actor covers all three, and doubles as a trucking company contact scraper and trucking company contact finder for richer profiles. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Company name from Google Maps | | Website | Official site 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 trucking company email addresses found on website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, LinkedIn, Instagram, X/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 structured and normalized, ideal for use as a trucking company data scraper feed into your CRM, prospecting tools, or analytics pipeline. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Trucking Company", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Trucking Company", "googleMapsLocation": [ "Dallas, Texas", "Atlanta, Georgia", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | Yes | Business type or niche to search β€” e.g., "Trucking Company", "freight carriers", "reefer trucking" | | `googleMapsLocation` | Array | Yes | One or more locations β€” e.g., \["Dallas, Texas", "Memphis, Tennessee"] | | `maxBusinesses` | Number | Yes | Max businesses with emails to return (1–1,000). The run stops when this 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": "Highway Logistics LLC", "website": "https://www.highwaylogisticsllc.com", "phone": "+1 214-555-0174", "full_address": "2200 Commerce St, Dallas, TX 75201, United States", "city": "Dallas", "state": "TX", "zip": "75201", "country_code": "US", "scraped_emails": [ "dispatch@highwaylogisticsllc.com", "info@highwaylogisticsllc.com" ], "scraped_phones": ["+1 214-555-0174", "+1 214-555-0112"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/highway-logistics-llc", "facebook:https://www.facebook.com/highwaylogisticsllc" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.6, "total_reviews": 84, "lat": 32.7809, "long": -96.7970, "place_id": "ChIJ9-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 company listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Footer, Careers) Step 4 β†’ Extract public emails, phone numbers, and social links Step 5 β†’ Deduplicate and normalize all contact data Step 6 β†’ Return structured results for export or API consumption ``` Use it as a trucking company lead finder to discover new carriers, as a trucking company email extractor to pull verified inboxes, and as a trucking company data scraper to enrich your systems with normalized, ready-to-use records. The trucking company email scraper halts as soon as your limit is reached to save compute and avoid overage. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints carriers in your exact target areas β€” delivering hyper-local trucking company leads. ##### πŸ” Deep Website Crawl Goes beyond Google listings. Crawls homepages, contact pages, about pages, and footers to surface every available public trucking company email and phone number β€” acting as a powerful trucking company contact scraper. ##### 🌎 Multi-Location Scaling Run dozens of cities at once with a combined cap or a per-location cap β€” perfect for building a large, multi-market trucking company list. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes phone formats to keep your data clean. ##### πŸ“Š CRM-Ready Output Consistent field names and types β€” drop directly into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool. ##### 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 and enterprise campaigns focused on trucking company leads. ##### πŸ”Ž Flexible Intent Matching Adjust the Google Maps search term from "Trucking Company" to niches like "reefer carriers", "flatbed trucking", or "heavy haul" to tailor your trucking company lead scraper pipeline. ##### ⚑ Fast Stop at Your Target The trucking company email scraper stops when `maxBusinesses` is reached β€” no wasted resources. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to continuously grow your trucking company list and keep contacts fresh. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for carrier partnerships, insurance, fuel cards, factoring, TMS, ELD providers, and more. Use this as your trucking company email finder to fuel personalized cold outreach. ##### 🚚 Freight Brokerage & 3PL Prospecting Identify regional carriers by lane and specialty. The trucking company contact finder helps you reach dispatch and operations inboxes fast. ##### πŸ“£ Marketing & Demand Gen Launch geo-targeted campaigns with verified trucking company email contacts and phone numbers pulled directly from company websites. ##### πŸ§‘β€πŸ’Ό Recruiting & Driver Staffing Find HR or recruiting inboxes for carriers, from small fleets to enterprise. Combine the trucking company lead finder with niche search terms (e.g., "CDL jobs") to locate hiring pages and contacts. ##### 🧩 CRM Enrichment & Data Cleaning Fill gaps in existing records with emails, phones, and social links. Use it alongside your pipeline as a trucking company email extractor and trucking company data scraper. ##### 🏒 Agency Client Delivery Run weekly scrapes and deliver fresh trucking company leads to clients at scale β€” a repeatable trucking company lead scraper workflow you can standardize. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a regional database β€” results depend on: - Number of locations added - Search term breadth (narrow vs. broad niche) - 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 trucking company list without hitting hard platform limits. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - 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 trucking company leads are found - Webhooks: Push results to your CRM 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 "Trucking Company Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Trucking Company" or a niche variant like "reefer carriers", "flatbed trucking", or "LTL freight company". Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "Dallas, Texas", "Memphis, Tennessee", "Kansas City, Missouri". 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 larger campaigns. 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 Trucking Company 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 or public listings. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website's robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: - GDPR (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected with this trucking company data scraper. *** #### ❓ 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€” dispatch inboxes, admin contacts, and general inquiry addresses. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed. Use per-location capping for even geographic distribution of trucking company leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your trucking company list accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your trucking company email contacts fresh. Q: Which niches does the search term support?\ A: Any Google Maps searchable term β€” try "freight carriers", "reefer trucking", "flatbed trucking", "LTL company", or "owner-operator fleet". This flexibility makes it a versatile trucking company contact finder. Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ businesses per run to avoid rate limits and improve reliability. 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 Google searching?\ A: Manual search is slow and doesn’t extract emails at scale. This automation acts as a trucking company email extractor and lead pipeline in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh trucking company 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 (reefer, flatbed, hazmat, LTL) - Bulk or enterprise run support - CRM and workflow integrations Built for freight brokers, logistics tech, and growth teams who need accurate trucking company 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": "Trucking Company", "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": "Trucking Company", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/trucking-company-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": "Trucking Company", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/trucking-company-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": "Trucking Company", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/trucking-company-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/trucking-company-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trucking Company Email Scraper", "description": "Trucking company email scraper to extract verified emails from logistics providers, freight companies, and trucking businesses πŸ“§πŸšš Perfect for B2B outreach, partnerships, and transportation industry lead generation.", "version": "1.0", "x-build-id": "YjvtVhvGK3lHI267N" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~trucking-company-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-trucking-company-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~trucking-company-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-trucking-company-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~trucking-company-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-trucking-company-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": "Trucking Company" }, "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 } } } } } } } } } } ```