# Convenience Store Email Scraper (`contacts-api/convenience-store-email-scraper`) Actor Convenience store email scraper to extract verified emails from convenience stores, corner shops, mini marts, retail chains, and convenience retail directories ๐Ÿ“ง๐Ÿ›’ Perfect for B2B outreach, supplier partnerships, marketing campaigns, and retail lead generation. - **URL**: https://apify.com/contacts-api/convenience-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, 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 ### ๐Ÿ›’ Convenience Store Email Scraper โ€” Find Verified Leads in Minutes > The fastest way to build a targeted convenience store list. This convenience store data scraper discovers convenience stores on Google Maps across any city, crawls their websites, and extracts public convenience store email addresses, phone numbers, and social media profiles โ€” all in one clean, export-ready dataset of convenience store leads. --- #### ๐Ÿš€ Quick Start 1. Enter your search term โ€” e.g., "Convenience Store", "mini mart", "corner store" 2. Add one or more target locations โ€” 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. --- #### ๐Ÿ’ก What Is the Convenience Store Email Scraper? The Convenience Store Email Scraper is a purpose-built lead generation and contact discovery tool for: - Consumer goods and beverage brands - Wholesalers and distributors - POS, payments, and fintech providers - Service vendors (vending, ATM, refrigeration, maintenance) - Local marketing and B2B outreach teams It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data โ€” producing an accurate, deduplicated convenience store list ready for immediate use. Whether you need it as a convenience store email finder, a convenience store lead scraper, a convenience store lead finder, or a convenience store email extractor โ€” this actor covers all four in a single automated run. It also works as a convenience store contact scraper and convenience store contact finder for teams focused on store-level outreach. --- #### ๐Ÿ“ฆ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Store name from Google Maps | | Website | Official website URL when available | | 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 convenience store email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | Note: Some convenience stores do not maintain websites; in those cases, results may include phone numbers only or listing data without emails. --- #### โš™๏ธ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Convenience Store", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Convenience Store", "googleMapsLocation": [ "New York", "Miami, Florida", "Los Angeles, California" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | โœ… Yes | Business type to search โ€” e.g., "Convenience Store", "mini mart", "corner store" | | `googleMapsLocation` | Array | โœ… Yes | One or more locations โ€” e.g., \["New York", "Miami, Florida"] | | `maxBusinesses` | Number | โŒ No | Max businesses with emails to return (1โ€“1,000). The run stops once this target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | โŒ No | If true, applies the cap per location. If false, it's a combined total | | `proxyConfiguration` | Object | โŒ No | Proxy settings. Recommended for large runs to avoid rate limits | *** #### ๐Ÿ“ค Sample Output ```json [ { "name": "City Corner Mart", "website": "https://www.citycornermart.com", "phone": "+1 212-555-0145", "full_address": "145 W 37th St, New York, NY 10018, United States", "city": "New York", "state": "NY", "zip": "10018", "country_code": "US", "scraped_emails": [ "info@citycornermart.com", "orders@citycornermart.com" ], "scraped_phones": ["+1 212-555-0145", "+1 212-555-0181"], "scraped_social_media": [ "facebook:https://facebook.com/citycornermart", "instagram:https://instagram.com/citycornermart" ], "emails_found": 2, "pages_scraped": 11, "avg_rating": 4.4, "total_reviews": 93, "lat": 40.7517, "long": -73.9892, "place_id": "ChIJ1-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### ๐Ÿ”ง How It Works โ€” Under the Hood ``` Step 1 โ†’ Search Google Maps using your term + location Step 2 โ†’ Collect store listings (name, address, phone, website) Step 3 โ†’ Visit each website and crawl key pages (Home, Contact, About, etc.) Step 4 โ†’ Extract public emails, phone numbers, and social media links Step 5 โ†’ Deduplicate and normalize all contact data Step 6 โ†’ Return structured results ready for export or API consumption ``` The pipeline functions as both a discovery engine and an extraction engine โ€” effectively a convenience store lead scraper and convenience store email extractor in one. *** #### โœจ Key Features ##### ๐ŸŽฏ Precise Location Targeting Enter any city, state, or region. The actor pinpoints stores in your exact target areas โ€” delivering hyper-local convenience store leads for regional campaigns. ##### ๐Ÿ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public convenience store email and phone number. Use it as your go-to convenience store email finder. ##### ๐Ÿงญ Multi-Keyword Flexibility Search broadly with "Convenience Store" or narrow with variants like "mini mart", "bodega", or "corner store". Ideal for building a wide-ranging convenience store list. ##### ๐Ÿงน Smart De-Duplication Automatically removes duplicate emails per domain so your lists stay clean and accurate โ€” no manual cleanup. ##### ๐Ÿ“Š Structured, CRM-Ready Output Results are normalized with consistent field names. Drop them straight into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool without reformatting. Perfect for teams relying on a dependable convenience store contact scraper. ##### ๐Ÿ›ก๏ธ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks โ€” ideal for agency-level convenience store leads campaigns. ##### โฑ๏ธ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached โ€” no wasted compute, no overage. ##### ๐Ÿ”„ Schedulable & Repeatable Run daily, weekly, or monthly to continuously grow and refresh your convenience store list. *** #### ๐ŸŽฏ Use Cases ##### ๐Ÿ’ผ B2B Outreach & Sales Fuel cold email and call campaigns for POS systems, payments, and merchant services using a reliable convenience store contact finder. Treat it as your convenience store lead finder for store-level outreach. ##### ๐Ÿงƒ Beverage, Snack, and CPG Distribution Identify independents and small chains for placement and replenishment. Build a persistent convenience store list with public convenience store email contacts for account managers. ##### ๐Ÿง ATM, Vending, and Service Vendors Find stores to place ATMs, vending machines, digital signage, or refrigeration services. The convenience store data scraper helps you locate prospects and contact them fast. ##### ๐Ÿงฐ Maintenance & Field Services Target refrigeration, HVAC, security, and cleaning contracts. Use the convenience store lead scraper to prioritize stores in your service zones. ##### ๐Ÿ“ฃ Local & Regional Marketing Create geo-targeted campaigns with verified emails and phone numbers pulled directly from store websites. ##### ๐Ÿ“š Market Research & Audits Compile store-level contact info for surveys, pricing audits, and product rollouts. The convenience store email extractor accelerates project timelines. *** #### ๐Ÿ“ˆ How Many Results Can You Get? Scale from a small prospect list to a multi-state database โ€” results depend on: - Number of locations added - Search term breadth (niche vs. broad) - Website presence 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 (1โ€“3 cities) | 20 โ€“ 100 | | Medium (5โ€“15 cities) | 200 โ€“ 600 | | Large (20+ cities / states) | 800 โ€“ 1,000+ per run | Run multiple times across different regions to continuously grow your convenience store list without hitting hard limits. *** #### ๐Ÿ”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 for your convenience store leads. *** #### ๐Ÿ› ๏ธ Step-by-Step Usage Guide Step 1 โ€” Log in to Apify\ Create a free account or sign in at apify.com. Step 2 โ€” Open the Actor\ Search for "Convenience Store Email Scraper" in the Apify Store and click Try for free. Step 3 โ€” Set Your Search Term\ Enter "Convenience Store" or a variant like "mini mart", "bodega", or "corner store". Step 4 โ€” Add Target Locations\ Enter one or more city/state combos โ€” e.g., "New York", "Miami, Florida". Step 5 โ€” Set Your Limit\ Choose how many businesses with emails you want โ€” 20 for a quick test, up to 1,000 for a full campaign. Step 6 โ€” Choose Scaling Strategy - Combined cap: The total across all locations combined - Per-location cap: Applies your limit independently to each city Step 7 โ€” Enable Proxies\ Turn on Apify Proxy for stable, uninterrupted crawling at scale. Step 8 โ€” Run ๐Ÿš€\ Click Start and let the convenience store email scraper do the work. Step 9 โ€” Export\ Download as JSON, CSV, or Excel โ€” or pull via API straight into your stack. *** #### โš–๏ธ Legal & Compliance This actor collects only publicly available business contact information โ€” 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: | Regulation | Region | |---|---| | GDPR | European Union | | CAN-SPAM Act | United States | | CASL | Canada | | PECR | United Kingdom | This convenience store contact scraper is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### โ“ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts convenience store email addresses that are publicly visible on business websites or listings. 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 when building your convenience store list. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your convenience store leads accurate and clean. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify's scheduler to run weekly or monthly and keep your list fresh. Many teams schedule the convenience store email scraper to auto-refresh data. Q: Is a proxy required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits. Proxies improve reliability for any convenience store data scraper. Q: What if a store doesn't have a website?\ A: The actor still captures listing metadata (name, phone, address) and will include it with a partial scrape\_status. For stores with websites, the convenience store email extractor captures public emails and social links. Q: How is this different from manual Google searching?\ A: Manual search is slow and inconsistent. This convenience store lead finder automates discovery and the convenience store lead scraper automates extraction โ€” producing a ready-to-use dataset in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh convenience store leads on a recurring basis. It serves well as both a convenience store contact finder and a convenience store email finder for agency pipelines. *** #### ๐Ÿง‘โ€๐Ÿ’ป 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., bodegas, mini marts, corner stores) - Bulk or enterprise run support - Integration assistance and automations Built for brands, distributors, and outreach teams who need accurate convenience store leads at scale โ€” 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": "Convenience 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": "Convenience 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/convenience-store-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "Convenience Store", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/convenience-store-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Convenience Store", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/convenience-store-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/convenience-store-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Convenience Store Email Scraper", "description": "Convenience store email scraper to extract verified emails from convenience stores, corner shops, mini marts, retail chains, and convenience retail directories ๐Ÿ“ง๐Ÿ›’ Perfect for B2B outreach, supplier partnerships, marketing campaigns, and retail lead generation.", "version": "1.0", "x-build-id": "EEh09WmcZNo8bfw8j" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~convenience-store-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-convenience-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~convenience-store-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-convenience-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~convenience-store-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-convenience-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": "Convenience 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 } } } } } } } } } } ```