# Hospitality Industry Email Scraper (`contacts-api/hospitality-industry-email-scraper`) Actor Hospitality industry email scraper to extract verified emails from hotels, resorts, restaurants, travel businesses, event venues, and hospitality service providers πŸ“§πŸ¨πŸ½οΈ Perfect for B2B outreach, marketing campaigns, partnerships, and hospitality industry lead generation. - **URL**: https://apify.com/contacts-api/hospitality-industry-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Travel, Automation - **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 ### 🏨 Hospitality Industry Email Scraper β€” Build Accurate Hospitality Contact Lists Fast > The fastest way to build a targeted hospitality industry list. This actor searches Google Maps for hospitality businesses (hotels, restaurants, cafes, resorts, bars) in any location, crawls their websites, and extracts verified hospitality industry email addresses, phone numbers, and social links β€” all in one clean, export-ready dataset. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "boutique hotel", "restaurant", "resort spa", "catering service" 2. Add one or more target locations β€” e.g., "New York", "Las Vegas, Nevada" 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 Hospitality Industry Email Scraper? The Hospitality Industry Email Scraper is a purpose-built contact discovery and lead generation tool for vendors and teams selling into hotels, restaurants, resorts, event venues, and foodservice brands. It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data and compile a clean hospitality industry list you can use immediately. Whether you need it as a hospitality industry email finder, a hospitality industry lead scraper, or a hospitality industry lead finder β€” this actor covers all three in a single automated run. It also works as a hospitality industry email extractor and hospitality industry contact scraper to surface emails, phones, and social profiles from official sites, delivering qualified hospitality industry leads for outreach and sales. Built for: - Hotel and restaurant suppliers (F&B, linens, cleaning, equipment) - Hospitality tech and SaaS vendors (PMS, POS, revenue, reservations) - Event planners, staffing agencies, and consultants - B2B marketers and SDR teams targeting hospitality brands --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice 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 hospitality industry email addresses found on 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 | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "boutique hotel", "googleMapsLocation": ["New York"] } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "restaurant", "googleMapsLocation": [ "New York", "Las Vegas, Nevada", "Miami, Florida" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | googleMapsSearchTerm | String | βœ… Yes | Business type or niche to search β€” e.g., "boutique hotel", "steakhouse", "resort spa" | | googleMapsLocation | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Orlando, Florida"] | | maxBusinesses | Number | ❌ No | Max businesses with emails to return (1–1,000). The run stops once the target is reached | | scrapeMaxBusinessesPerLocation | Boolean | ❌ No | If true, applies the cap per location. If false, uses a combined total across all locations | | proxyConfiguration | Object | ❌ No | Proxy settings. Strongly recommended for large runs to avoid rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "Harborview Boutique Hotel", "website": "https://www.harborviewhotel.com", "phone": "+1 212-555-0172", "full_address": "88 Pier Ave, New York, NY 10013, United States", "city": "New York", "state": "NY", "zip": "10013", "country_code": "US", "scraped_emails": [ "info@harborviewhotel.com", "sales@harborviewhotel.com" ], "scraped_phones": ["+1 212-555-0172", "+1 212-555-0114"], "scraped_social_media": [ "facebook:https://facebook.com/harborviewhotel", "instagram:https://instagram.com/harborviewhotel", "linkedin:https://linkedin.com/company/harborview-hotel" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.6, "total_reviews": 421, "lat": 40.7212, "long": -74.0064, "place_id": "ChIJD-EXAMPLEID", "scrape_status": "success" }, { "name": "Stone & Ember Restaurant", "website": "https://www.stoneandembernyc.com", "phone": "+1 212-555-0198", "full_address": "234 W 22nd St, New York, NY 10011, United States", "city": "New York", "state": "NY", "zip": "10011", "country_code": "US", "scraped_emails": [ "bookings@stoneandembernyc.com", "events@stoneandembernyc.com" ], "scraped_phones": ["+1 212-555-0198"], "scraped_social_media": [ "instagram:https://instagram.com/stoneandembernyc" ], "emails_found": 2, "pages_scraped": 9, "avg_rating": 4.4, "total_reviews": 286, "lat": 40.7441, "long": -73.9992, "place_id": "ChIJ2-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under the Hood ``` Step 1 β†’ Search Google Maps using your term + location Step 2 β†’ Collect business listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Reservations, Events) 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 ``` This flow lets the hospitality industry email scraper act as a discovery tool and an email extraction engine in one pass. For research-heavy campaigns, it doubles as a hospitality industry data scraper to enrich existing records with web-sourced fields. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint hotels, restaurants, cafes, and venues in your exact target cities or regions β€” delivering hyper-local hospitality industry leads you can act on immediately. ##### πŸ” Deep Website Crawl Goes beyond listings. Crawls homepages, contact pages, reservations/events pages, and footer sections to surface every available public hospitality industry email and phone number. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap β€” perfect for building a large, multi-market hospitality industry list without manual work. ##### 🧭 Flexible Search Terms Target any niche: "boutique hotel", "hostel", "resort spa", "steakhouse", "catering service", "wedding venue", and more. Use it as a hospitality industry contact finder to reach the right segments. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes formats so your exports stay clean. Ideal for list-building and CRM enrichment. ##### πŸ“Š Structured, CRM-Ready Output Consistent field names and types make it easy to import into HubSpot, Salesforce, Apollo, Instantly, Smartlead, or Google Sheets. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs. Recommended for heavy use to avoid rate limits. ##### ⏱️ Stop at Your Target The run halts as soon as your maxBusinesses limit is reached β€” no wasted compute. ##### πŸ”„ Schedulable & Repeatable Set daily, weekly, or monthly schedules to keep hospitality industry leads fresh over time. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Sales & Outreach - Build pitch lists for hotel procurement, restaurant managers, and venue coordinators. - Use as a hospitality industry lead finder to fuel cold email and calling campaigns with verified contacts. ##### 🍽️ Supplier & Vendor Prospecting - Identify prospects for F\&B suppliers, maintenance, linens, AV, event services, and software. - The hospitality industry lead scraper accelerates discovery in new markets. ##### πŸ§‘β€πŸ’» SaaS Growth & Partnerships - Feed your SDR team with hospitality industry leads for PMS, POS, reservations, revenue management, and staffing platforms. - Works as a hospitality industry email extractor to capture sales@, info@, events@ inboxes. ##### 🧭 Market Research & Benchmarking - Map out competitors and segments across cities, track ratings and reviews, and enrich records. Perfect when you need a hospitality industry data scraper for analysis. ##### πŸ—ƒοΈ CRM Enrichment & Hygiene - Fill missing emails, phones, and social links for existing accounts with a reliable hospitality industry contact scraper. - Keep your hospitality industry list consistent and deduplicated. ##### 🏒 Agency Client Delivery - Deliver verified hospitality industry leads to clients weekly with repeatable, automated runs. *** #### 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 - Search term breadth (broad vs. niche) - Website density and email visibility in each market - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout Typical output ranges: - 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 multiple campaigns across different regions to continuously grow your hospitality industry list and keep hospitality industry leads flowing to your pipeline. *** #### 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 on run completion Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON imports. Build and refresh your hospitality industry list without manual copy-paste. *** #### 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 "Hospitality Industry Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term Enter a niche search term like "boutique hotel", "resort spa", "steakhouse", "rooftop bar", "caterer", or "wedding venue". - Step 4 β€” Add Target Locations Enter one or more cities/regions β€” e.g., "New York", "Orlando, Florida", "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 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 Hospitality Industry Email Scraper do the work. - Step 9 β€” Export Download as JSON, CSV, or Excel β€” or pull via API straight into your stack. *** #### βš–οΈ Legal & Compliance This actor collects only publicly available business contact information β€” including hospitality industry email addresses 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 to be aware of: - GDPR (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts emails that are publicly visible on official business websites β€” typical hospitality industry email inboxes like info@, sales@, reservations@, events@. 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 hospitality industry leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your hospitality industry list accurate and clean. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify's built-in scheduler to run weekly or monthly and keep your pipeline of hospitality industry leads fresh. Q: Is this an email finder or a lead scraper?\ A: Both. It works as a hospitality industry email finder and a hospitality industry lead scraper. It’s also a hospitality industry contact finder for phones and social links. Q: Is proxy usage required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits. Q: What niches does the search term support?\ A: Any Google Maps searchable term β€” try "boutique hotel", "hostel", "resort spa", "steakhouse", "cafe", "caterer", or "event venue". Q: Can this be used as a data scraper for research?\ A: Yes. Many teams use it as a hospitality industry data scraper to analyze markets by ratings, reviews, and density, and to enrich existing records with contact fields. Q: How is this different from manual Google searching?\ A: Manual search is slow, inconsistent, and doesn't extract emails at scale. This actor automates discovery, crawling, and extraction β€” acting as a hospitality industry contact scraper and hospitality industry email extractor in one workflow. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh hospitality industry leads on a recurring basis. *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? - Email: scrapermindapi@gmail.com We’re happy to help with: - Custom input/output configurations - Niche-specific adaptations for hotels, restaurants, or venues - Bulk or enterprise run support - Integration assistance and automation Built for vendors, SaaS teams, and agencies that need a dependable hospitality industry email scraper to generate qualified opportunities at scale. 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": "Hospitality Industry", "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": "Hospitality Industry", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/hospitality-industry-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": "Hospitality Industry", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/hospitality-industry-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": "Hospitality Industry", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/hospitality-industry-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/hospitality-industry-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hospitality Industry Email Scraper", "description": "Hospitality industry email scraper to extract verified emails from hotels, resorts, restaurants, travel businesses, event venues, and hospitality service providers πŸ“§πŸ¨πŸ½οΈ Perfect for B2B outreach, marketing campaigns, partnerships, and hospitality industry lead generation.", "version": "1.0", "x-build-id": "OM1njFLGFBCj1P6z8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~hospitality-industry-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-hospitality-industry-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~hospitality-industry-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-hospitality-industry-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~hospitality-industry-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-hospitality-industry-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": "Hospitality Industry" }, "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 } } } } } } } } } } ```