# Gynecologic Oncologist Email Scraper (`contacts-api/gynecologic-oncologist-email-scraper`) Actor Gynecologic oncologist email scraper to extract verified specialist emails from cancer centers, hospitals, women's health clinics, and healthcare directories πŸ“§πŸŽ—οΈπŸ©Ί Perfect for healthcare outreach, recruitment, partnerships, and gynecologic oncology lead generation. - **URL**: https://apify.com/contacts-api/gynecologic-oncologist-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Other - **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 ### 🩺 Gynecologic Oncologist Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted gynecologic oncologist list. This actor searches Google Maps for gynecologic oncologists in any city, crawls their websites, and extracts verified gynecologic oncologist email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready dataset for high-intent gynecologic oncologist leads. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Gynecologic Oncologist" 2. Add one or more target locations β€” e.g., "New York", "Miami, Florida" 3. Set your desired number of businesses with emails 4. Hit Run and get your results in minutes No coding required. Export to CSV, JSON, or Excel instantly. Use it as a gynecologic oncologist email finder for rapid prospecting. --- #### πŸ’‘ What Is the Gynecologic Oncologist Email Scraper? The Gynecologic Oncologist Email Scraper is a purpose-built lead generation and contact discovery tool for: - Healthcare marketing teams and medical device vendors - Staffing and recruiting agencies in oncology - B2B outreach professionals and BD teams - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing a clean, deduplicated gynecologic oncologist list ready for outreach. Whether you need a gynecologic oncologist lead finder, a gynecologic oncologist lead scraper, or a gynecologic oncologist contact scraper β€” this actor covers all three in one automated run. It also works as a gynecologic oncologist contact finder and gynecologic oncologist email extractor to pull every accessible gynecologic oncologist email from clinic websites. For large-scale campaigns, it doubles as a gynecologic oncologist data scraper to normalize and export results at scale. --- #### 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 gynecologic oncologist email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Gynecologic Oncologist", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Gynecologic Oncologist", "googleMapsLocation": [ "New York", "Miami, Florida", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | googleMapsSearchTerm | String | Yes | Business type to search β€” e.g., "Gynecologic Oncologist", "oncology clinic" | | googleMapsLocation | Array | Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"] | | maxBusinesses | Number | Yes | Max businesses with emails to return (1–1,000). The run 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 broader geographies | *** #### πŸ“€ Sample Output ```json [ { "name": "Metropolitan Gynecologic Oncology Center", "website": "https://www.metrogynonc.com", "phone": "+1 212-555-0134", "full_address": "250 E 65th St, New York, NY 10065, United States", "city": "New York", "state": "NY", "zip": "10065", "country_code": "US", "scraped_emails": [ "info@metrogynonc.com", "appointments@metrogynonc.com" ], "scraped_phones": ["+1 212-555-0134", "+1 212-555-0177"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/metrogynonc", "facebook:https://www.facebook.com/metrogynonc" ], "emails_found": 2, "pages_scraped": 11, "avg_rating": 4.7, "total_reviews": 89, "lat": 40.7644, "long": -73.9649, "place_id": "ChIJ9-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 ``` Use this as both a gynecologic oncologist lead scraper (discovery + extraction) and a gynecologic oncologist email extractor for high-precision outreach. At scale, it operates as a reliable gynecologic oncologist data scraper for scheduled pipelines. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints practices in your exact target areas β€” delivering hyper-local gynecologic oncologist leads and a refined gynecologic oncologist list. ##### πŸ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footer sections to surface every available public gynecologic oncologist email and phone number. ##### πŸ”Ž Multi-Intent Discovery Use niche search terms (e.g., "gynecologic oncology surgeon", "robotic hysterectomy oncology") to widen the funnel. Perfect as a gynecologic oncologist lead finder when you need specialized services. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your gynecologic oncologist list stays clean and accurate β€” no messy cleanup required after export. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks β€” ideal for agency-level gynecologic oncologist leads campaigns. ##### ⚑ Early Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” efficient compute every time. Great when using it as a gynecologic oncologist email extractor for batch runs. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to continuously grow and refresh your gynecologic oncologist list. A dependable gynecologic oncologist contact scraper for ongoing campaigns. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for oncology practices, hospital departments, and private clinics. Use it as your gynecologic oncologist lead finder and gynecologic oncologist email finder to fuel cold email and ABM programs. ##### πŸ§‘β€βš•οΈ Healthcare Staffing & Recruiting Identify practices expanding oncology services. The gynecologic oncologist lead scraper surfaces contacts you won’t see on job boards. ##### πŸ“£ Local & Regional Marketing Create geo-targeted campaigns with verified gynecologic oncologist email addresses and phones pulled directly from clinic websites. ##### 🀝 Partnerships & Referrals Locate complementary providers and referral partners. A practical gynecologic oncologist contact finder for cooperative care networks. ##### πŸ“š Research & Surveys Compile contact info for studies or public health initiatives. Produce a verified, region-specific gynecologic oncologist list quickly. ##### 🏒 Agency Client Delivery Deliver weekly gynecologic oncologist leads to clients on a predictable schedule β€” ready for CRM import and outreach. ##### πŸ—ƒοΈ CRM Enrichment Fill gaps in your records with missing emails, phones, and social profiles using the gynecologic oncologist email finder and gynecologic oncologist contact scraper. *** #### 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 (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 gynecologic oncologist list using a dependable gynecologic oncologist data scraper. *** #### 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. Ideal when operationalizing gynecologic oncologist leads from a gynecologic oncologist data scraper into downstream tools. *** #### 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 "Gynecologic Oncologist Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Gynecologic Oncologist" or a niche variant like "gynecologic oncology surgeon" or "cancer treatment center." Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "Austin, Texas". Step 5 β€” Set Your Limit\ Choose how many businesses with emails you want β€” start small to test, then scale. 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. Step 8 β€” Run\ Click Start and let the Gynecologic Oncologist Email Scraper do the work. Step 9 β€” Export\ Download as JSON, CSV, or Excel β€” or pull via API straight into your stack. Perfect for building structured gynecologic oncologist leads inventories with a gynecologic oncologist email finder. *** #### 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: - 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 gynecologic oncologist contact scraper. *** #### ❓ 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€” practice inboxes, admin contacts, and general inquiry addresses. It functions as a compliant gynecologic oncologist email extractor for open web 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 and a balanced gynecologic oncologist list. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your gynecologic oncologist leads accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify's built-in scheduler to run weekly or monthly and keep your leads fresh. This is ideal when using the actor as a gynecologic oncologist lead scraper for ongoing campaigns. Q: What niches does the search term support?\ A: Any Google Maps-searchable term β€” try "gynecologic oncology clinic", "oncology surgeon", "women's cancer center", or "robotic gynecologic oncology." Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and keep the gynecologic oncologist data scraper stable. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook. Q: How is this different from manual searching?\ A: Manual search is slow and inconsistent. This actor automates discovery and extraction β€” acting as a gynecologic oncologist contact finder and gynecologic oncologist email finder in one. *** #### 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 - Bulk or enterprise run support - Integration assistance Built for healthcare marketers, staffing professionals, and outreach teams who need accurate gynecologic oncologist leads at scale β€” fast. *** #### πŸ†˜ Support 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": "Gynecologic Oncologist", "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": "Gynecologic Oncologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/gynecologic-oncologist-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": "Gynecologic Oncologist", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/gynecologic-oncologist-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": "Gynecologic Oncologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/gynecologic-oncologist-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/gynecologic-oncologist-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gynecologic Oncologist Email Scraper", "description": "Gynecologic oncologist email scraper to extract verified specialist emails from cancer centers, hospitals, women's health clinics, and healthcare directories πŸ“§πŸŽ—οΈπŸ©Ί Perfect for healthcare outreach, recruitment, partnerships, and gynecologic oncology lead generation.", "version": "1.0", "x-build-id": "Qb5gLZsoVdwCTvKF9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~gynecologic-oncologist-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-gynecologic-oncologist-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~gynecologic-oncologist-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-gynecologic-oncologist-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~gynecologic-oncologist-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-gynecologic-oncologist-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": "Gynecologic Oncologist" }, "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 } } } } } } } } } } ```