# Hematologist Email Scraper (`contacts-api/hematologist-email-scraper`) Actor Hematologist email scraper to extract verified hematologist emails from hospitals, clinics, and healthcare directories πŸ“§πŸ©Έ Perfect for healthcare outreach, recruitment, and targeted medical lead generation. Fast, accurate, and reliable. - **URL**: https://apify.com/contacts-api/hematologist-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 ### 🩸 Hematologist Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted hematologist list. This actor searches Google Maps for hematologists across any city, crawls their websites, and extracts public hematologist email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready dataset of verified hematologist leads. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Hematologist" 2. Add one or more target locations β€” e.g., "New York", "Chicago, Illinois" 3. Optionally 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 Hematologist Email Scraper? The hematologist email scraper is a purpose-built lead generation and contact discovery tool for: - Healthcare marketing teams - Recruiting and staffing agencies - Pharma and medical device outreach - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated hematologist list ready for immediate use. Whether you need it as a hematologist lead finder, a hematologist contact scraper, a hematologist email finder, a hematologist lead scraper, or a hematologist contact finder β€” this actor covers all five in a single automated run. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice or physician group 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 hematologist 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": "Hematologist", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Hematologist", "googleMapsLocation": [ "New York", "Chicago, Illinois", "Los Angeles, California" ], "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., "Hematologist", "hematology oncology clinic" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Chicago, Illinois"] | | `maxBusinesses` | Number | ❌ No | Max businesses with emails to return (1–1,000). Actor stops as soon as this target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location; if false, uses a combined total across locations | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs to avoid rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "Metro Hematology & Oncology Associates", "website": "https://www.metrohematooncology.com", "phone": "+1 212-555-0174", "full_address": "350 E 52nd St, New York, NY 10022, United States", "city": "New York", "state": "NY", "zip": "10022", "country_code": "US", "scraped_emails": [ "info@metrohematooncology.com", "appointments@metrohematooncology.com" ], "scraped_phones": ["+1 212-555-0174", "+1 212-555-0190"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/metro-hematology-oncology", "facebook:https://www.facebook.com/metrohematooncology" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 89, "lat": 40.7552, "long": -73.9677, "place_id": "ChIJEXAMPLEID123", "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, footer) 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 ``` Built to function as both a hematologist lead scraper and a hematologist email extractor, the pipeline covers discovery and contact extraction in one run. It also doubles as a hematologist data scraper for repeatable, large-scale campaigns. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints hematology practices in your exact target areas β€” delivering hyper-local hematologist leads for targeted outreach. ##### πŸ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public hematologist email and phone number published on practice sites. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap β€” perfect for building a multi-market hematologist list with even geographic distribution. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your exports stay clean and accurate β€” no messy cleanup required after export. This hematologist email scraper keeps only unique contact points. ##### 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 β€” ideal for any hematologist contact scraper workflow. ##### 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 hematologist leads campaigns. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Run it daily, weekly, or monthly to continuously grow and refresh your hematologist list and keep your contact data current. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists targeting hematology clinics, infusion centers, and combined hematology/oncology groups. Feed your sequences with verified hematologist email contacts. ##### πŸ§‘β€βš•οΈ Healthcare Staffing & Recruiting Identify practices hiring physicians, nurse practitioners, or support staff. The hematologist lead finder surfaces contacts you can’t find on job boards. ##### πŸ“£ Local & Regional Marketing Create geo-targeted campaigns with verified emails and phone numbers pulled directly from clinic websites β€” perfect for pharma reps or diagnostics vendors. ##### 🀝 Partnership & Referral Development Find complementary providers (oncology centers, labs, hospitals) and connect via the hematologist contact finder to establish referral pathways. ##### πŸ“š Academic Research & Surveys Compile contact info for surveys, studies, or public health initiatives. Quickly gather hematologist email contacts across a region with consistent, export-ready data. ##### 🏒 Agency Client Delivery Run repeatable weekly scrapes and deliver fresh hematologist leads to clients on a predictable schedule with your hematologist lead scraper pipeline. ##### πŸ—ƒοΈ CRM Enrichment Fill gaps in existing records with missing emails, phones, and social profiles using the hematologist email finder and hematologist data scraper for ongoing enrichment. *** #### 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 (narrow vs. broad 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 | 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 hematologist list without hitting 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. Use it as a hematologist data scraper feeding downstream automations. *** #### 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 "Hematologist Email Scraper" in the Apify Store and click Try for free. **Step 3 β€” Set Your Search Term**\ Enter "Hematologist" or a variant like "hematology oncology", "pediatric hematologist", or "blood disorder clinic". **Step 4 β€” Add Target Locations**\ Enter one or more city/state combos β€” e.g., "New York", "Houston, Texas". **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. **Step 8 β€” Run πŸš€**\ Click Start and let the Hematologist 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€” 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. *** #### ❓ Frequently Asked Questions **Q: Does this scrape private or personal emails?**\ No. The actor only extracts emails that are publicly visible on business websites β€” practice inboxes, admin contacts, and general inquiry addresses. **Q: Can I search multiple cities in one run?**\ Yes. Add as many locations as needed. Use per-location capping for even geographic distribution. **Q: Does it deduplicate results?**\ Yes. Emails are deduplicated per domain to keep your hematologist list accurate and clean. **Q: Can I schedule recurring runs?**\ Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your hematologist leads fresh. **Q: What search terms does it support?**\ Any Google Maps searchable term β€” try "Hematologist", "hematology oncology", "pediatric hematologist", "blood disorder clinic", or "cancer hematology center". **Q: Are proxies required?**\ Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and ensure reliability. **Q: How is this different from manual Google searching?**\ Manual search is slow and inconsistent, and it doesn’t extract emails at scale. This automated hematologist contact scraper discovers listings and pulls contacts in minutes. **Q: Can agencies white‑label or resell this?**\ Yes. Run it on behalf of clients and deliver fresh hematologist leads on a recurring basis using your hematologist lead finder and hematologist lead scraper workflows. **Q: Can this enrich our existing CRM records?**\ Yes. Use it as a hematologist email finder to append missing emails, phones, and social links to existing accounts. **Q: Is this also a data collection tool for analysis?**\ Yes. Many teams run it as a hematologist data scraper to analyze market coverage, ratings, and review counts across regions. *** #### 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 (e.g., pediatric or hematology/oncology) - Bulk or enterprise run support - Integration assistance *** *Built for healthcare marketers, staffing professionals, and outreach teams who need accurate hematologist leads at scale β€” this hematologist email scraper helps you find, verify, and export contacts 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": "Hematologist", "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": "Hematologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/hematologist-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": "Hematologist", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/hematologist-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": "Hematologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/hematologist-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/hematologist-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hematologist Email Scraper", "description": "Hematologist email scraper to extract verified hematologist emails from hospitals, clinics, and healthcare directories πŸ“§πŸ©Έ Perfect for healthcare outreach, recruitment, and targeted medical lead generation. Fast, accurate, and reliable.", "version": "1.0", "x-build-id": "TAgnbaOeUWihOQncJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~hematologist-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-hematologist-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~hematologist-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-hematologist-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~hematologist-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-hematologist-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": "Hematologist" }, "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 } } } } } } } } } } ```