# Retail Store Email Scraper (`contacts-api/retail-store-email-scraper`) Actor Retail store email scraper to extract verified emails from retail shops, store chains, and business directories πŸ“§πŸ›οΈ Perfect for B2B lead generation, sales outreach, and retail industry marketing campaigns. Fast, accurate, and scalable data extraction. - **URL**: https://apify.com/contacts-api/retail-store-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 ### πŸ›οΈ Retail Store Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted retail store email list. This tool searches Google Maps for retail stores across any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles β€” delivering export-ready retail store leads fast. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Retail Store", "clothing boutiques", "home decor shops" 2. Add one or more target locations β€” e.g., "New York", "Los Angeles, California" 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 Retail Store Email Scraper? The Retail Store Email Scraper is a dedicated lead generation and contact discovery solution for: - E-commerce vendors and wholesale suppliers - Retail marketing agencies and local SEO specialists - B2B sales and partnership teams - Data analysts and researchers It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing a clean, deduplicated retail store email contact list you can use immediately. Use it as a retail store lead finder to identify new accounts, a retail store lead scraper to automate discovery, a retail store email finder to capture inboxes, or even a retail store email extractor for scalable outreach. For broader workflows, it also works as a retail store contact scraper and retail store contact finder to centralize all communication channels. Whether you need a fresh retail store list for brand partnerships or ongoing prospecting, this retail store email scraper turns location-based searches into actionable pipelines. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Store or company 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 retail store email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, 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 | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Retail Store", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Retail Store", "googleMapsLocation": [ "New York", "Los Angeles, California", "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., "Retail Store", "clothing boutiques", "home decor shops" | | googleMapsLocation | Array | Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"] | | maxBusinesses | Number | Yes | Max businesses with emails to return (1–1,000). Stops when the target is reached | | scrapeMaxBusinessesPerLocation | Boolean | No | If true, applies the cap per location; if false, it's a combined total across locations | | proxyConfiguration | Object | No | Proxy settings. Strongly recommended for large runs and reliability | *** #### πŸ“€ Sample Output ```json [ { "name": "Hudson Market Supply", "website": "https://www.hudsonmarketsupply.com", "phone": "+1 212-555-0198", "full_address": "125 W 34th St, New York, NY 10001, United States", "city": "New York", "state": "NY", "zip": "10001", "country_code": "US", "scraped_emails": [ "hello@hudsonmarketsupply.com", "orders@hudsonmarketsupply.com" ], "scraped_phones": ["+1 212-555-0198", "+1 212-555-0112"], "scraped_social_media": [ "facebook:https://facebook.com/hudsonmarketsupply", "instagram:https://instagram.com/hudsonmarketsupply" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.6, "total_reviews": 214, "lat": 40.7506, "long": -73.9897, "place_id": "ChIJ9wEXAMPLEID", "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 store listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, FAQs) 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 ``` Designed to function as both a discovery engine and a retail store data scraper, the pipeline automates everything from finding prospects to capturing retail store email contacts at scale. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint stores in any city, region, or multi-city campaign. Build hyper-local retail store leads for exact territories or sales reps. ##### πŸ” Deep Website Crawl Goes beyond the listing to crawl homepages, contact pages, footers, and policy pages β€” surfacing every available public retail store email and phone number. ##### 🧭 Flexible Niches & Queries Target any niche you like: apparel, electronics, pet supplies, home goods, specialty food, and more. Use broad or long-tail search terms to grow your retail store list efficiently. ##### 🌎 Multi-Location Scaling Run across tens or hundreds of cities at once. Choose a combined cap or per-location cap β€” ideal for regional audits or franchise territory planning with consistent retail store leads. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes formats. Cleaner lists mean less bounce and easier CRM imports for your retail store lead scraper workflows. ##### πŸ“Š Structured, CRM-Ready Output Consistent field names (emails\_found, pages\_scraped, rating, reviews, etc.) make it plug-and-play with HubSpot, Salesforce, Apollo, Instantly, and other tools. Perfect for any retail store email extractor pipeline. ##### πŸ›‘οΈ Proxy-Ready For Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks β€” crucial for agencies and teams automating a retail store contact scraper across many markets. ##### ⏱️ Stop At Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to continuously refresh your retail store list and keep your outreach current. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Feed SDR sequences with verified retail store email contacts and phones. Use it as your retail store lead finder to fill the top of the funnel and as a retail store email finder for campaign-ready inboxes. ##### 🧡 Brand Partnerships & Wholesale Expansion Identify boutiques and chains that fit your brand profile. The retail store contact finder helps locate buyers or store managers for direct pitches. ##### πŸ“£ Local & Regional Marketing Build geo-targeted campaigns with accurate contacts. Ideal for agencies running local SEO, ads, or events who need ready-to-go retail store leads. ##### πŸͺ Franchise Development & Vendor Prospecting Map market coverage, find franchise prospects, or source potential retail partners. Combine discovery from the retail store lead scraper with automated email extraction. ##### πŸ—ƒοΈ CRM Enrichment & Data Hygiene Enrich existing records with missing emails, phones, and social links β€” powered by a robust retail store contact scraper that standardizes output. ##### 🧭 Market Research & Competitive Mapping Use the retail store data scraper to benchmark presence, ratings, and reviews across regions. Export structured datasets for BI dashboards. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large, multi-region database. Results depend on: - Number of locations added - Niche specificity and search breadth - 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 retail store list without hitting hard 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 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 for retail store leads. *** #### 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 "Retail Store Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term Enter "Retail Store" or a niche variant like "clothing boutiques", "home decor shops", or "electronics stores". - Step 4 β€” Add Target Locations Enter one or more locations β€” e.g., "New York", "Austin, Texas", "San Diego, California". - Step 5 β€” Set Your Limit Choose how many businesses with emails you want β€” 20 for a quick test, up to 1,000 for a full campaign. - Step 6 β€” Choose Scaling Strategy β€’ Combined cap: The total across all locations combined β€’ Per-location cap: Applies your limit independently to each city - Step 7 β€” Enable Proxies Turn on Apify Proxy for stable, uninterrupted crawling at scale. - Step 8 β€” Run πŸš€ Click Start and let the Retail Store 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€” emails and phone numbers published openly on websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website's robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations: - GDPR (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This retail store data scraper 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. It only extracts emails that are publicly visible on business websites β€” store inboxes, admin contacts, and general inquiry addresses via the retail store email extractor workflow. 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 retail store leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your lists accurate, making the retail store email finder output clean and ready for use. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify's scheduler to run weekly or monthly and keep your retail store list fresh. Q: Is a proxy required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and improve reliability. Q: How is this different from manual searching?\ A: Manual search is slow and inconsistent. This actor automates discovery and extraction β€” acting as a retail store lead scraper and retail store contact scraper in one pass. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh retail store leads on a recurring basis. Q: Can it find contact pages without clear navigation?\ A: In many cases, yes. The crawler evaluates common patterns and footer links to improve retail store contact finder performance, but results depend on each site. *** #### 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., apparel, electronics, home goods) - Bulk or enterprise run support - Integration assistance and CRM mapping - Ongoing maintenance for your retail store lead finder workflows *** Built for marketers, sales teams, and agencies who need accurate retail store email contacts at scale β€” fast. The retail store email scraper turns Google Maps searches into qualified opportunities you can act on today. 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": "Retail Store", "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": "Retail Store", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/retail-store-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": "Retail Store", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/retail-store-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": "Retail Store", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/retail-store-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/retail-store-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Retail Store Email Scraper", "description": "Retail store email scraper to extract verified emails from retail shops, store chains, and business directories πŸ“§πŸ›οΈ Perfect for B2B lead generation, sales outreach, and retail industry marketing campaigns. Fast, accurate, and scalable data extraction.", "version": "1.0", "x-build-id": "jig26mrjrdUtI7Rns" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~retail-store-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-retail-store-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~retail-store-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-retail-store-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~retail-store-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-retail-store-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": "Retail Store" }, "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 } } } } } } } } } } ```