# Food Manufacturers Email Scraper (`contacts-api/food-manufacturers-email-scraper`) Actor Food manufacturers email scraper to extract verified emails from food production companies, factories, and packaged food businesses πŸ“§πŸ­ Perfect for B2B outreach, supplier partnerships, and food manufacturing industry lead generation. - **URL**: https://apify.com/contacts-api/food-manufacturers-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 ### 🏭 Food Manufacturers Email Scraper β€” Find Verified B2B Contacts Fast > The fastest way to build a targeted food manufacturers list. This food manufacturers email scraper searches Google Maps for manufacturers and plants across your chosen locations, crawls their websites, and extracts verified food manufacturers email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready dataset for instant food manufacturers leads. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Food Manufacturers", "snack manufacturers", "co-packers" 2. Add one or more target locations β€” e.g., "New York", "Chicago, Illinois" 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 Food Manufacturers Email Scraper? The food manufacturers email scraper is a purpose-built lead generation and contact discovery tool for: - Food and beverage suppliers and brokers - Packaging, logistics, and equipment vendors - B2B outreach and sales teams - 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 food manufacturers list ready for immediate use. Whether you need it as a food manufacturers lead finder, a food manufacturers lead scraper, a food manufacturers contact scraper, or a food manufacturers contact finder β€” this tool covers all four in one automated run. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Manufacturer 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 food manufacturers 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 routing | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | Designed for reliability and scale, this food manufacturers data scraper normalizes and deduplicates all contact fields for seamless downstream use. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Food Manufacturers", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Food Manufacturers", "googleMapsLocation": [ "New York", "Chicago, Illinois", "Los Angeles, California" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type or niche β€” e.g., "Food Manufacturers", "snack manufacturers", "beverage co-packers" | | `googleMapsLocation` | Array | βœ… Yes | One or more target locations β€” e.g., \["New York", "Austin, Texas"] | | `maxBusinesses` | Number | ❌ No | Max number of businesses with emails to return (1–1,000). The run halts when this is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, the cap applies per location. If false, it’s a combined total | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs to prevent rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "GreenHarvest Foods Inc.", "website": "https://www.greenharvestfoods.com", "phone": "+1 212-555-0147", "full_address": "275 Hudson St, New York, NY 10013, United States", "city": "New York", "state": "NY", "zip": "10013", "country_code": "US", "scraped_emails": [ "info@greenharvestfoods.com", "sales@greenharvestfoods.com" ], "scraped_phones": ["+1 212-555-0147", "+1 212-555-0193"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/greenharvestfoods", "facebook:https://www.facebook.com/greenharvestfoods" ], "emails_found": 2, "pages_scraped": 18, "avg_rating": 4.6, "total_reviews": 62, "lat": 40.7265, "long": -74.0073, "place_id": "ChIJ9b-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under The Hood ``` Step 1 β†’ Search Google Maps with your term(s) and location(s) Step 2 β†’ Collect manufacturer listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Careers, Footer) Step 4 β†’ Extract public emails, phone numbers, and social profiles Step 5 β†’ Deduplicate and normalize all contact data per domain Step 6 β†’ Return structured results ready for export or API workflows ``` This pipeline acts as a fast food manufacturers email extractor and a dependable discovery engine, so you can find manufacturers and collect verified contact data in one pass. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints manufacturers in your exact target areas β€” delivering hyper-local food manufacturers leads for territory-based campaigns. ##### πŸ” Deep Website Crawl Goes beyond the Google listing. Crawls homepages, contact pages, about pages, and footer sections to surface every public email and phone number β€” ideal when using it as a food manufacturers lead scraper or food manufacturers email extractor. ##### 🧭 Multi-Keyword Flexibility Search for "Food Manufacturers", "co-packers", "private label", or niche segments like "protein bar manufacturers" to broaden your food manufacturers list. ##### 🧹 Smart De-Duplication Automated de-duplication removes repeated emails per domain, keeping your data clean for outreach and CRM imports. ##### πŸ“Š Structured, CRM-Ready Output Consistent field names and clean arrays for emails, phones, and social links. Perfect when you use it as a food manufacturers lead finder or food manufacturers contact finder. ##### πŸ›‘οΈ Proxy-Ready For Scale Built-in proxy support enables stable, large-scale runs without rate-limiting β€” essential for agency or enterprise acquisition of food manufacturers leads. ##### ⏱️ Goal-Based Halting Stops automatically when your `maxBusinesses` target is met β€” efficient and cost-effective. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to refresh your pipeline. As a food manufacturers data scraper, it’s ideal for continuous list enrichment and monitoring. With the food manufacturers email scraper, you can discover, extract, and organize contacts end to end β€” from prospecting to clean exports β€” in minutes. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for ingredients, packaging, or logistics services. Use it as a food manufacturers contact scraper to reach plant managers, procurement, and general inboxes. ##### πŸ“¦ Supplier, Broker & Distributor Prospecting Identify co-packers, private label partners, and regional plants. The tool doubles as a food manufacturers contact finder for partnership and vendor development. ##### πŸ“£ Marketing & Demand Generation Launch geo-targeted campaigns using verified food manufacturers email contacts and phone numbers. Perfect for outbound sequences and retargeting. ##### πŸ”§ Equipment & Industrial Services Target manufacturers for machinery, maintenance, safety, and compliance services. Use the food manufacturers lead finder to populate territory routes. ##### πŸ—ƒοΈ CRM Enrichment & Data Hygiene Enrich existing accounts with missing emails, phone numbers, and social profiles β€” or rebuild a stale food manufacturers list from scratch. ##### πŸ“š Research & Market Mapping Map factories by region, extract public contacts, and quantify coverage. A dependable food manufacturers data scraper for analysts and research teams. Use the food manufacturers email scraper to acquire new accounts, fill pipeline gaps, or validate markets across multiple regions. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large regional database β€” results depend on: - Number of locations added - Breadth of your search terms (broad vs. niche) - Email visibility on manufacturer websites - `maxBusinesses` and per-location vs. combined mode - Proxy configuration and run timeouts ##### Typical Output Ranges | Campaign Size | Businesses With Emails | |---|---| | Small (1–3 cities) | 30 – 120 | | Medium (5–15 cities) | 250 – 700 | | Large (20+ cities/states) | 800 – 1,000+ per run | Run multiple times across different regions to continuously grow your food manufacturers list with the food manufacturers email scraper. As a food manufacturers data scraper, it’s designed for repeatable, compounding results. *** #### 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 apps or pipelines | | Zapier / Make | Trigger automations when new records land | | Webhooks | Push the food manufacturers list to your CRM on run completion | Plug your data 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\ Create a free account or sign in at apify.com. Step 2 β€” Open The Actor\ Search for "Food Manufacturers Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Food Manufacturers" or niche terms like "co-packers", "private label food", "snack manufacturers". Step 4 β€” Add Target Locations\ Enter one or more cities/regions β€” e.g., "New York", "Chicago, Illinois", "Los Angeles, 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 large campaigns. Step 6 β€” Choose Scaling Strategy - Combined cap: Total across all locations - Per-location cap: Apply your limit independently to each location 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 food manufacturers email scraper do the work. Step 9 β€” Export & Integrate\ Download as JSON, CSV, or Excel, or send to your CRM β€” use it as a food manufacturers email finder for immediate outreach. *** #### 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 outbound emails - 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. 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€” general inboxes like info@, sales@, hr@, and department-level contacts. It functions as a food manufacturers email extractor, not a hack or penetration tool. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed. Use per-location capping for even distribution across regions. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your food manufacturers list clean and accurate. Q: Do I need proxies?\ A: For small runs, proxies are optional. For 200+ businesses or multi-city campaigns, we strongly recommend Apify Proxy to avoid rate limits. Q: What niches does the search term support?\ A: Any Google Maps-searchable term β€” e.g., "snack manufacturers", "beverage co-packers", "private label food", "frozen foods manufacturer". Use it as a food manufacturers email finder or food manufacturers contact finder across niches. Q: How is this different from manual research?\ A: Manual search is slow and inconsistent. This automates the entire workflow β€” discovery, crawling, extraction, and normalization β€” acting as a food manufacturers lead finder and food manufacturers lead scraper in minutes. Q: Can agencies white-label or resell the output?\ A: Yes. Many agencies use the dataset to deliver recurring food manufacturers leads to clients. *** #### 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., co-packers, private label, regional categories) - Bulk or enterprise run support - Integration assistance (CRM, webhooks, Zapier/Make) 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": "Food Manufacturers", "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": "Food Manufacturers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/food-manufacturers-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": "Food Manufacturers", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/food-manufacturers-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": "Food Manufacturers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/food-manufacturers-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/food-manufacturers-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Food Manufacturers Email Scraper", "description": "Food manufacturers email scraper to extract verified emails from food production companies, factories, and packaged food businesses πŸ“§πŸ­ Perfect for B2B outreach, supplier partnerships, and food manufacturing industry lead generation.", "version": "1.0", "x-build-id": "Dj54BzNaXV9drU0dD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~food-manufacturers-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-food-manufacturers-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~food-manufacturers-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-food-manufacturers-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~food-manufacturers-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-food-manufacturers-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": "Food Manufacturers" }, "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 } } } } } } } } } } ```