# Printing And Publishing Email Scraper (`contacts-api/printing-and-publishing-email-scraper`) Actor Printing and publishing email scraper to extract verified emails from printing companies, publishing houses, media organizations, and printing service providers πŸ“§πŸ–¨οΈπŸ“š Perfect for B2B outreach, partnerships, and publishing industry lead generation. - **URL**: https://apify.com/contacts-api/printing-and-publishing-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 Printing And Publishing Email Scraper β€” Find Verified Leads In Minutes > The fastest way to build a targeted contact database for printers, publishers, and print services. This actor searches Google Maps for printing and publishing businesses in any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles β€” all in one clean, export-ready dataset. It’s purpose-built for generating printing and publishing leads by combining listing discovery with deep site crawling. Use it as a printing and publishing email extractor to build a high-quality printing and publishing list you can act on today. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Printing And Publishing", "commercial printer", "book publisher" 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 Printing And Publishing Email Scraper? The Printing And Publishing Email Scraper is a specialized lead generation and contact discovery tool for: - Commercial printers and print shops - Book and magazine publishers - Packaging, signage, label, and wide-format printers - Print brokers, distributors, and print-on-demand services - Agencies and B2B teams selling to the print and publishing sector It merges Google Maps discovery with a focused website crawl to extract publicly available contact data β€” delivering accurate, deduplicated printing and publishing leads. Whether you need a printing and publishing lead finder, a printing and publishing lead scraper, or a printing and publishing email extractor, this actor covers the full workflow in a single automated run. Use it to find printing and publishing email contacts, build a segmented printing and publishing list, and power multi-city campaigns at scale. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | 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 printing and publishing email addresses found during the crawl | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter/X, 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 data structure is designed for instant import to CRMs and outreach tools. It’s optimized for building a clean printing and publishing list you can deploy immediately. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Printing And Publishing", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Printing And Publishing", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type or niche β€” e.g., "Printing And Publishing", "commercial printer", "book publisher" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"] | | `maxBusinesses` | Number | ❌ No | Max businesses with emails to return (1–1,000). Stops when reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location. If false, it's a combined total | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for larger runs to avoid rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "Empire Print & Press", "website": "https://www.empireprintpress.com", "phone": "+1 212-555-0148", "full_address": "245 W 29th St, New York, NY 10001, United States", "city": "New York", "state": "NY", "zip": "10001", "country_code": "US", "scraped_emails": [ "sales@empireprintpress.com", "support@empireprintpress.com" ], "scraped_phones": ["+1 212-555-0148", "+1 212-555-0192"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/empireprintpress/", "facebook:https://www.facebook.com/empireprintpress" ], "emails_found": 2, "pages_scraped": 18, "avg_rating": 4.7, "total_reviews": 203, "lat": 40.7493, "long": -73.9956, "place_id": "ChIJEXAMPLEPLACEID", "scrape_status": "success" }, { "name": "Harbor House Publishing", "website": "https://www.harborhousepub.com", "phone": "+1 718-555-0082", "full_address": "88 Water St, Brooklyn, NY 11201, United States", "city": "Brooklyn", "state": "NY", "zip": "11201", "country_code": "US", "scraped_emails": [ "info@harborhousepub.com", "submissions@harborhousepub.com" ], "scraped_phones": ["+1 718-555-0082"], "scraped_social_media": [ "instagram:https://www.instagram.com/harborhousepub", "twitter:https://twitter.com/harborhousepub" ], "emails_found": 2, "pages_scraped": 11, "avg_rating": 4.4, "total_reviews": 58, "lat": 40.7032, "long": -73.9901, "place_id": "ChIJANOTHERPLACEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under The Hood ``` Step 1 β†’ Search Google Maps using your term + location Step 2 β†’ Collect business listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, 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 ``` The pipeline functions as both a printing and publishing lead finder and a printing and publishing lead scraper, providing a dependable printing and publishing data scraper for large or small campaigns. It seamlessly acts as a printing and publishing contact scraper and printing and publishing email extractor without extra setup. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint printers, publishers, and related services in any city, state, or region β€” perfect for building localized printing and publishing leads and regional rollouts. ##### πŸ” Deep Website Email Discovery Goes beyond the listing. Crawls contact, about, careers, and footer sections to surface every available public printing and publishing email and phone number β€” acting as a reliable printing and publishing email finder for outreach. ##### 🌎 Multi-Location Scaling Run dozens of cities in a single job. Use a combined cap or per-location cap to build a balanced printing and publishing list across multiple markets. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes phone formats so your exports stay clean and usable. ##### πŸ“Š Structured, CRM-Ready Output Consistent field names and formats make importing into HubSpot, Salesforce, Apollo, or spreadsheets effortless β€” from raw printing and publishing leads to campaigns in minutes. ##### πŸ›‘οΈ Proxy-Ready Reliability Built-in proxy support helps avoid rate limits and blocks during high-volume discovery β€” ideal for agencies and teams running multi-city scrapes. ##### ⏱️ Stop At Your Target The actor halts as soon as your maxBusinesses threshold is met β€” preventing overage and keeping costs predictable for every printing and publishing lead scraper run. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to keep your printing and publishing list fresh with newly discovered websites and updated contacts. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for commercial printers, packaging firms, book publishers, and specialty print shops. Turn the results into qualified printing and publishing leads your team can contact this week. ##### πŸ“° Vendor & Partner Sourcing Identify finishing services, binders, paper suppliers, and boutique publishers in your region with a dependable printing and publishing contact finder. ##### πŸ“£ Local & Regional Campaigns Launch geo-targeted campaigns with verified emails and phones pulled directly from company websites using a proven printing and publishing contact scraper. ##### 🀝 Channel & Referral Development Find complementary service providers β€” design studios, marketing agencies, and print brokers β€” to expand your partner network using a precise printing and publishing lead finder. ##### πŸ§ͺ Market Research & Benchmarks Analyze coverage by city, ratings, and reviews to map competitive density, using the dataset from a robust printing and publishing data scraper. ##### πŸ—ƒοΈ CRM Enrichment & Cleanup Fill missing emails, phones, and social links for existing accounts, and remove duplicates to maintain a clean printing and publishing list. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a targeted shortlist to a multi-state database. Total results depend on: - Number of locations you add - Breadth of the search term (e.g., "commercial printer" vs. "book publisher") - Website density and email visibility in each market - maxBusinesses setting and combined vs. per-location mode - Proxy configuration and run timeout Typical campaign ranges: - Small (1–3 cities): 20–100 businesses with emails - Medium (5–15 cities): 200–600 businesses with emails - Large (20+ cities/states): 800–1,000+ per run Run across multiple regions to steadily grow your printing and publishing list without hard platform limits. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - JSON: Full structured data download via dataset - CSV / Excel: Import directly into spreadsheets or CRMs - Apify API: Stream results to apps and internal tools - Zapier / Make: Trigger workflows when new leads are found - Webhooks: Push results to your CRM or pipeline on run completion Plug directly into Instantly, Smartlead, Apollo, HubSpot, or Salesforce β€” turning discovered printing and publishing leads into live campaigns the same day. *** #### 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 this tool in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term Use "Printing And Publishing", or a niche like "commercial printer", "packaging printer", or "book publisher". - Step 4 β€” Add Target Locations Enter one or more locations β€” e.g., "New York", "Austin, Texas", "Seattle, Washington". - Step 5 β€” Set Your Limit Choose how many businesses with emails you want β€” start with 20 for a quick test, up to 1,000 for large runs. - Step 6 β€” Choose Scaling Strategy β€’ Combined cap: 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 reliable, uninterrupted crawling at scale. - Step 8 β€” Run πŸš€ Click Start and let the printing and publishing email scraper do the work. - Step 9 β€” Export Download JSON, CSV, or Excel β€” or pull via API straight into your stack. *** #### βš–οΈ Legal & Compliance This actor collects only publicly available business contact information β€” emails and phone numbers published openly on websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe or opt-out option in outreach - Follow applicable laws in your jurisdiction Key regulations to be aware of: - GDPR (EU) - CAN-SPAM Act (United States) - CASL (Canada) - PECR (United Kingdom) This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does this collect personal or private emails?\ A: No. It extracts only publicly visible emails from business websites β€” typical inboxes include sales@, info@, submissions@, or support@ commonly used by printers and publishers. 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 across your printing and publishing list. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain and normalized, ensuring clean printing and publishing leads for import. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s scheduler to run weekly or monthly to keep your printing and publishing leads fresh. Q: Is proxy usage required?\ A: Not for small runs, but proxies are strongly recommended for 200+ business runs to avoid rate limits and ensure reliability. Q: Is this an email finder or a contact scraper?\ A: Both. It works as a printing and publishing email finder and a printing and publishing contact scraper, combining discovery and extraction in a single workflow. Q: Can it enrich my existing database?\ A: Yes. Provide city/region targets that match your accounts to uncover missing emails and phones β€” functioning as a practical printing and publishing contact finder. Q: How is this different from manual searching?\ A: Manual search is slow and inconsistent. This automated approach discovers listings, crawls websites, and extracts contacts at scale β€” a dependable printing and publishing email extractor for repeatable lead generation. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? We can help with: - Custom input/output fields - Niche-specific adaptations (e.g., packaging, labels, wide-format) - Bulk or enterprise run support - CRM and automation integrations Email: scrapermindapi@gmail.com Built for sales teams, agencies, and marketers who need consistent printing and publishing leads, from discovery to outreach-ready data β€” all powered by a streamlined printing and publishing email scraper. 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": "Printing And Publishing", "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": "Printing And Publishing", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/printing-and-publishing-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": "Printing And Publishing", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/printing-and-publishing-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": "Printing And Publishing", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/printing-and-publishing-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/printing-and-publishing-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Printing And Publishing Email Scraper", "description": "Printing and publishing email scraper to extract verified emails from printing companies, publishing houses, media organizations, and printing service providers πŸ“§πŸ–¨οΈπŸ“š Perfect for B2B outreach, partnerships, and publishing industry lead generation.", "version": "1.0", "x-build-id": "3gISMYKKyvU9XaWct" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~printing-and-publishing-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-printing-and-publishing-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~printing-and-publishing-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-printing-and-publishing-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~printing-and-publishing-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-printing-and-publishing-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": "Printing And Publishing" }, "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 } } } } } } } } } } ```