# Surgical Oncologist Email Scraper (`contacts-api/surgical-oncologist-email-scraper`) Actor Surgical oncologist email scraper to extract verified specialist emails from hospitals, cancer centers, and medical directories ๐Ÿ“ง๐Ÿฉบ Perfect for healthcare outreach, recruitment, and targeted oncology lead generation. - **URL**: https://apify.com/contacts-api/surgical-oncologist-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 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 ### ๐Ÿฅผ Surgical Oncologist Email Scraper โ€” Find Verified Contacts In Minutes > The fastest way to build a targeted surgical oncologist list. This actor searches Google Maps for surgical oncology practices across any city, crawls their websites, and extracts verified surgical oncologist email addresses, phone numbers, and social media profiles โ€” all in one export-ready dataset. --- #### ๐Ÿš€ Quick Start 1. Enter your search term โ€” e.g., "Surgical Oncologist" 2. Add one or more target locations โ€” 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. Whether you need a surgical oncologist lead finder, a surgical oncologist lead scraper, or a surgical oncologist email extractor, this tool does it all in one run. --- #### ๐Ÿ’ก What Is The Surgical Oncologist Email Scraper? The Surgical Oncologist Email Scraper is a specialized lead generation and contact discovery tool built for: - Medtech and healthcare marketing teams - Pharma field teams and provider relations - Staffing and recruiting agencies - B2B outreach professionals and data analysts It pairs Google Maps practice discovery with deep on-site crawling to extract public contact data โ€” producing a clean surgical oncologist list ready for immediate outreach. Use it as a surgical oncologist email finder to collect verified addresses, a surgical oncologist lead finder for pipeline growth, or a surgical oncologist contact scraper to unify emails, phones, and social profiles without manual effort. It also works great as a surgical oncologist lead scraper for territory coverage and as a surgical oncologist contact finder when you need accurate points of contact per practice. --- #### ๐Ÿ“ฆ What Data Does It Extract? - Business Name โ€” Practice or organization name from Google Maps - Website โ€” Official website URL - Phone โ€” Primary phone from listing or website - Full Address โ€” Complete address as listed - City / State / ZIP โ€” Parsed location components - Country Code โ€” ISO country code where available - Emails โ€” All public surgical oncologist email addresses found on the domain - Additional Phones โ€” Extra phone numbers discovered during the crawl - Social Media Links โ€” Facebook, Instagram, LinkedIn, Twitter, and more - Email Count โ€” Total unique emails found per business - Pages Scraped โ€” Number of website pages crawled per domain - Rating โ€” Average Google Maps star rating - Reviews โ€” Total number of Google reviews - Latitude / Longitude โ€” Geo-coordinates for mapping and filtering - Place ID โ€” Google Maps place identifier - Scrape Status โ€” Per-record status: success, partial, or error --- #### โš™๏ธ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Surgical Oncologist", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Surgical Oncologist", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters - googleMapsSearchTerm (String) โ€” Required - Enter the business type or niche for collection โ€” e.g., "Surgical Oncologist", "surgical oncology clinic" - googleMapsLocation (Array) โ€” Required - One or more locations โ€” e.g., \["New York", "Houston, Texas"] - maxBusinesses (Number) โ€” Optional - Target number of businesses with emails to return (1โ€“1,000). The actor stops when this threshold is hit - scrapeMaxBusinessesPerLocation (Boolean) โ€” Optional - If true, applies the cap per location. If false, uses a combined total across all locations - proxyConfiguration (Object) โ€” Optional - Proxy settings. Strongly recommended for large runs to avoid rate limits *** #### ๐Ÿ“ค Sample Output ```json [ { "name": "NY Surgical Oncology Associates", "website": "https://www.nysoa.org", "phone": "+1 212-555-0142", "full_address": "350 Lexington Ave, Suite 1800, New York, NY 10016, United States", "city": "New York", "state": "NY", "zip": "10016", "country_code": "US", "scraped_emails": [ "info@nysoa.org", "referrals@nysoa.org" ], "scraped_phones": ["+1 212-555-0142", "+1 212-555-0177"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/nysoa", "facebook:https://www.facebook.com/nysoa" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 89, "lat": 40.7515, "long": -73.9772, "place_id": "ChIJN1-EXAMPLENY", "scrape_status": "success" } ] ``` *** #### ๐Ÿ”ง How It Works โ€” Surgical Oncologist Email Scraper Step 1 โ†’ Search Google Maps using your term + location\ Step 2 โ†’ Collect practice listings (name, address, phone, website)\ Step 3 โ†’ Visit each website and crawl key pages (Home, Contact, About, Staff, Footer)\ Step 4 โ†’ Extract public emails, phone numbers, and social links\ Step 5 โ†’ Deduplicate, normalize, and validate contact data\ Step 6 โ†’ Return structured results for export or API use Under the hood, this surgical oncologist data scraper balances accuracy with speed, ensuring you capture high-quality surgical oncologist leads without manual work. *** #### โœจ Key Features ##### ๐ŸŽฏ Precision Location Targeting Pinpoint surgical oncology practices by city, state, region, or country. Build geo-targeted surgical oncologist leads that match your territory plan. ##### ๐Ÿ” Deep Website Crawl For Complete Contacts Goes beyond listings to crawl key pages and footers, surfacing every public surgical oncologist email, phone number, and social link. Operates as a surgical oncologist email extractor when you need maximum coverage. ##### ๐Ÿงญ Multi-Use: Finder, Scraper, Extractor Use it as a surgical oncologist email finder, a surgical oncologist lead scraper, or a surgical oncologist contact scraper. Switch strategies without changing tools. ##### ๐Ÿงน Smart Deduplication & Normalization Automatically removes duplicate emails per domain and normalizes fields, so your surgical oncologist list drops straight into your CRM. ##### ๐Ÿ“Š CRM-Ready, Clean Output Consistent field names and formats. Perfect for HubSpot, Salesforce, Apollo, Instantly, and outreach platforms. ##### ๐Ÿ›ก๏ธ Proxy-Ready For Scale Built-in proxy support lets you scale data collection across many cities reliably โ€” ideal for agency workflows and recurring surgical oncologist leads campaigns. ##### ๐ŸŽฏ Stop Exactly At Your Target Halts instantly once maxBusinesses is reached โ€” no wasted compute or overages. ##### ๐Ÿ”„ Schedulable For Fresh Data Run daily, weekly, or monthly to keep your surgical oncologist list up to date. *** #### ๐ŸŽฏ Use Cases ##### ๐Ÿ’ผ B2B Outreach & Sales Fuel campaigns for medtech devices, diagnostics, or service vendors with accurate surgical oncologist leads. Use the tool as a surgical oncologist lead finder to target specific specialties and hospital affiliations. ##### ๐Ÿง‘โ€โš•๏ธ Healthcare Staffing & Recruiting Identify practices expanding surgical teams. The actor acts as a surgical oncologist contact finder when you need verified practice inboxes and referral addresses. ##### ๐Ÿ“ฃ Regional Marketing & Territory Planning Create location-based campaigns with verified surgical oncologist email contacts and phone numbers. Leverage the surgical oncologist email extractor to capture key touchpoints at scale. ##### ๐Ÿค Partnerships & Provider Relations Map community oncology groups and academic centers for partnerships. Operate it as a surgical oncologist contact scraper to unify contact channels. ##### ๐Ÿ—ƒ๏ธ CRM Enrichment & Data Hygiene Use the surgical oncologist email finder to enrich existing records with missing emails, phone numbers, and social profiles; dedupe and standardize for clean pipelines. ##### ๐Ÿงช Research, Surveys, And Grants Build sampling frames for studies or provider surveys. The surgical oncologist data scraper streamlines discovery and extraction across multiple regions. *** #### ๐Ÿ“ˆ How Many Results Can You Get? Scale from a small prospect list to a wide regional database โ€” output depends on: - Number of locations added - Search term breadth (niche specialty vs. broad) - Website density and email visibility in each market - maxBusinesses setting and per-location vs. combined cap - Proxy configuration and run duration Typical Output Ranges: - Small (1โ€“3 cities): 20 โ€“ 100 businesses with emails - Medium (5โ€“15 cities): 200 โ€“ 600 businesses with emails - Large (20+ cities/states): 800 โ€“ 1,000+ per run Run across different territories to continuously grow your surgical oncologist list and keep your pipeline of surgical oncologist leads fresh. *** #### ๐Ÿ”Œ Integrations & Export Options Once your run completes, you can: - JSON โ€” Full structured data download - CSV / Excel โ€” Import directly into spreadsheets - Apify API โ€” Stream results into your apps and data warehouses - Zapier / Make โ€” Trigger automations when new contacts are found - Webhooks โ€” Push results to your CRM on completion Connect your data flow end-to-end, from this surgical oncologist data scraper into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON. *** #### ๐Ÿ› ๏ธ Step-By-Step Usage Guide Step 1 โ€” Log in to Apify\ Create a free account or sign in at apify.com. Step 2 โ€” Open the Actor\ Search for "Surgical Oncologist Email Scraper" in the Apify Store and click Try for free. Step 3 โ€” Set Your Search Term\ Enter "Surgical Oncologist" or niche variants like "surgical oncology clinic" or "hepato-pancreato-biliary surgeon". Step 4 โ€” Add Target Locations\ Enter one or more cities/regions โ€” e.g., "New York", "Los Angeles, California", "Houston, Texas". Step 5 โ€” Set Your Limit\ Choose how many businesses with emails you want โ€” 20 for a quick test, up to 1,000 for large campaigns. Step 6 โ€” Choose Scaling Strategy - Combined cap: A total across all locations - Per-location cap: Applies your limit independently to each location Step 7 โ€” Enable Proxies\ Turn on Apify Proxy for stable, uninterrupted crawling at scale. Step 8 โ€” Run ๐Ÿš€\ Click Start and let the surgical oncologist email scraper do the work. Step 9 โ€” Export\ Download as JSON, CSV, or Excel โ€” or pull via API straight into your CRM and sequences. *** #### โš–๏ธ Legal & Compliance This tool collects only publicly available business contact information โ€” 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: - GDPR โ€” European Union - CAN-SPAM Act โ€” United States - CASL โ€” Canada - PECR โ€” United Kingdom This surgical oncologist contact scraper is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### โ“ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. It only extracts emails that are publicly visible on business websites โ€” practice inboxes, referrals, or admin addresses. It is designed as a surgical oncologist email extractor for public data. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed. Use the per-location cap to ensure even distribution. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your surgical oncologist list accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apifyโ€™s scheduler to run weekly or monthly to keep your surgical oncologist leads fresh. Q: Is this a surgical oncologist lead finder or an email tool?\ A: Both. It works as a surgical oncologist lead finder and a surgical oncologist email finder โ€” plus a surgical oncologist lead scraper for broader data pulls. Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and ensure stability. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhooks. Q: How is this different from manual Google searching?\ A: Manual search is slow and inconsistent. This solution automates discovery and extraction โ€” from Google Maps to final contacts โ€” in minutes. *** #### ๐Ÿง‘โ€๐Ÿ’ป Support & Custom Solutions 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": "Surgical 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": "Surgical 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/surgical-oncologist-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "Surgical Oncologist", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/surgical-oncologist-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Surgical Oncologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/surgical-oncologist-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/surgical-oncologist-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Surgical Oncologist Email Scraper", "description": "Surgical oncologist email scraper to extract verified specialist emails from hospitals, cancer centers, and medical directories ๐Ÿ“ง๐Ÿฉบ Perfect for healthcare outreach, recruitment, and targeted oncology lead generation.", "version": "1.0", "x-build-id": "J7GLK5srhSN2QlwjC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~surgical-oncologist-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-surgical-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~surgical-oncologist-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-surgical-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~surgical-oncologist-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-surgical-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": "Surgical 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 } } } } } } } } } } ```