# Ophthalmologist Email Scraper (`contacts-api/ophthalmologist-email-scraper`) Actor Ophthalmologist email scraper to extract verified eye specialist emails from hospitals, clinics, and healthcare directories πŸ“§πŸ‘οΈ Perfect for healthcare outreach, recruitment, and medical lead generation. - **URL**: https://apify.com/contacts-api/ophthalmologist-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 Ophthalmologist Email Scraper β€” Find Verified Leads From Eye Clinics Fast > The fastest way to build a targeted ophthalmologist email list. This actor searches Google Maps for ophthalmologists and eye clinics in any location, crawls their websites, and extracts verified emails, phone numbers, and social media profiles β€” all in one clean, export-ready dataset powered by an ophthalmologist email extractor. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Ophthalmologist" 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 and turn results into ophthalmologist leads you can act on today. --- #### πŸ’‘ What Is the Ophthalmologist Email Scraper? The Ophthalmologist Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Medical device and pharmaceutical sales teams - Optical equipment suppliers and service providers - B2B outreach professionals targeting eye care practices - Researchers and data analysts needing a fresh ophthalmologist list It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated ophthalmologist list ready for immediate outreach. Whether you need it as an ophthalmologist lead finder, an ophthalmologist lead scraper, an ophthalmologist email finder, or an ophthalmologist contact finder β€” this actor covers all four in a single automated run. It also doubles as an ophthalmologist data scraper for structured export and reporting. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice or clinic 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 ophthalmologist email addresses extracted from website pages | | 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 | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Ophthalmologist", "googleMapsLocation": ["New York"] } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Ophthalmologist", "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 to search β€” e.g., "Ophthalmologist", "retina specialist", "eye clinic" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Dallas, Texas"] | | `maxBusinesses` | Number | ❌ No | Target number of businesses with emails to return (1–1,000). The actor stops when this target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location. If false, it's a combined total across all locations | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs and distributed campaigns | Tip: Use broader terms like "eye surgeon" or "ophthalmology clinic" to expand your ophthalmologist leads beyond a narrow niche. *** #### πŸ“€ Sample Output ```json [ { "name": "Manhattan Vision & Eye Surgery", "website": "https://www.manhattanvisioneye.com", "phone": "+1 212-555-0145", "full_address": "245 W 57th St, New York, NY 10019, United States", "city": "New York", "state": "NY", "zip": "10019", "country_code": "US", "scraped_emails": [ "info@manhattanvisioneye.com", "appointments@manhattanvisioneye.com" ], "scraped_phones": ["+1 212-555-0145", "+1 212-555-0199"], "scraped_social_media": [ "facebook:https://facebook.com/manhattanvisioneye", "linkedin:https://www.linkedin.com/company/manhattan-vision-eye" ], "emails_found": 2, "pages_scraped": 18, "avg_rating": 4.7, "total_reviews": 342, "lat": 40.7669, "long": -73.9816, "place_id": "ChIJx-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, etc.) 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 actor is built to work as both an ophthalmologist contact scraper (discovery + enrichment) and an ophthalmologist email extractor (extraction + normalization) in a single automated pipeline. When you need a reliable ophthalmologist lead scraper, this workflow keeps everything fast, accurate, and repeatable. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints eye clinics and surgical centers in your target areas β€” delivering hyper-local ophthalmologist leads. ##### πŸ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footer sections to surface every available public ophthalmologist email and phone number with an embedded ophthalmologist email finder. ##### 🌎 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 ophthalmologist list. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your records stay clean and accurate β€” no messy cleanup required after export. ##### πŸ“Š Structured, CRM-Ready Output All results are normalized with consistent field names. Drop them straight into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool without reformatting. Ideal when using the tool as an ophthalmologist contact finder. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks β€” essential for enterprise-grade ophthalmologist data scraper operations. ##### ⏱️ Stop at Your Target The actor halts as soon as your `maxBusinesses` limit is reached β€” no wasted compute or overage fees when running your ophthalmologist lead finder. ##### πŸ”„ Schedulable & Repeatable Set recurring schedules to continuously grow and refresh your ophthalmologist list every week or month. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists targeting private ophthalmology practices, retina specialists, and surgical centers. Use this as your ophthalmologist lead scraper to fuel multi-step cold email sequences. ##### πŸ§ͺ Medical Device & Pharma Sales Accelerate territory coverage for diagnostics, surgical devices, and therapeutics by exporting clean ophthalmologist leads and phone numbers in minutes. ##### πŸ₯ Service Providers & Vendors Managed IT, billing, EMR, consulting, marketing agencies, and compliance services can prospect efficiently with a continuously updated ophthalmologist list. ##### πŸ” Market Research & Competitive Mapping Use the actor as an ophthalmologist data scraper to map regional coverage, review performance, and online presence β€” complete with emails and social links. ##### 🀝 Partnership & Referral Development Identify co-management opportunities with optometrists and surgical centers using the ophthalmologist contact scraper to find verified contacts. ##### πŸ—ƒοΈ CRM Enrichment & Data Hygiene Append missing emails, phones, and social profiles to existing records. The built-in ophthalmologist email finder accelerates enrichment projects. ##### πŸ“£ Local & Regional Campaigns Deploy geo-targeted campaigns with precision β€” segmented by city, state, or ZIP β€” using export-ready ophthalmologist email data. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a massive regional database β€” results depend on: - Number of locations added - Search term breadth (niche vs. broad) - Website density and email visibility in each market - `maxBusinesses` setting and per-location vs. combined mode - Proxy configuration and run timeout ##### Typical Output Ranges | Campaign Size | Businesses with Emails | |---|---| | Small (1–3 cities) | 20 – 100 | | Medium (5–15 cities) | 200 – 600 | | Large (20+ cities / states) | 800 – 1,000+ per run | Run multiple times across different regions to continuously grow your ophthalmologist list without hitting any hard platform limits. *** #### 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 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 immediate activation of ophthalmologist leads. *** #### πŸ› οΈ Step-by-Step Usage Guide Step 1 β€” Log in to Apify\ Create a free account or sign in at apify.com. Step 2 β€” Open the Actor\ Search for "Ophthalmologist Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Ophthalmologist" or a niche variant like "retina specialist", "pediatric ophthalmologist", or "eye surgeon". Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "Phoenix, Arizona". 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 - Combined cap: The total across all locations combined - 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 β€” especially when using the actor as an ophthalmologist lead finder across many regions. Step 8 β€” Run πŸš€\ Click Start and let the Ophthalmologist Email Scraper do the work. Step 9 β€” Export\ Download as JSON, CSV, or Excel β€” or pull via API straight into your stack to build and update your ophthalmologist list. *** #### 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 all outreach - 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 only. You are responsible for how you use the data collected with any ophthalmologist contact scraper or ophthalmologist email extractor. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts emails that are publicly visible on business websites β€” clinic inboxes, admin contacts, and general inquiry addresses. It’s an ethical ophthalmologist email extractor, not a tool for hidden or personal data. 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 ophthalmologist leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your ophthalmologist list accurate and campaign-ready. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your leads fresh with an automated ophthalmologist lead scraper. Q: What niches does the search term support?\ A: Any Google Maps searchable term β€” try "retina specialist", "pediatric ophthalmology", "ophthalmology clinic", or "eye surgery center". Broader terms generally produce more ophthalmologist leads. Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits, especially when using the actor as an ophthalmologist data scraper across many locations. 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 the entire workflow β€” from discovery to contact extraction β€” acting as an ophthalmologist contact finder and ophthalmologist email finder in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh ophthalmologist 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 (retina, cornea, pediatric, etc.) - Bulk or enterprise run support - Integration assistance into your CRM or outreach stack *** Built for sales teams, marketers, and researchers who need accurate ophthalmologist leads at scale β€” 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": "Ophthalmologist", "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": "Ophthalmologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/ophthalmologist-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": "Ophthalmologist", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/ophthalmologist-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": "Ophthalmologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/ophthalmologist-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/ophthalmologist-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ophthalmologist Email Scraper", "description": "Ophthalmologist email scraper to extract verified eye specialist emails from hospitals, clinics, and healthcare directories πŸ“§πŸ‘οΈ Perfect for healthcare outreach, recruitment, and medical lead generation.", "version": "1.0", "x-build-id": "mjTpIKjRepQa2Mw25" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~ophthalmologist-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-ophthalmologist-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~ophthalmologist-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-ophthalmologist-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~ophthalmologist-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-ophthalmologist-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": "Ophthalmologist" }, "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 } } } } } } } } } } ```