# Medical Laboratories Email Scraper (`contacts-api/medical-laboratories-email-scraper`) Actor Medical laboratories email scraper to extract verified lab emails from diagnostic centers, testing facilities, and healthcare directories πŸ“§πŸ”¬ Perfect for healthcare outreach, partnerships, and medical industry lead generation. - **URL**: https://apify.com/contacts-api/medical-laboratories-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§ͺ Medical Laboratories Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted medical laboratories list. This actor searches Google Maps for Medical Laboratories across any city, crawls their websites, and extracts verified medical laboratories email, phone numbers, and social media profiles β€” giving you export-ready records to turn into medical laboratories leads, fast. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Medical Laboratories" 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. --- #### πŸ’‘ What Is the Medical Laboratories Email Scraper? The Medical Laboratories Email Scraper is a purpose-built lead generation and contact discovery tool for: - Diagnostics and pathology marketing teams - Laboratory equipment and supply vendors - B2B outreach professionals and agencies - 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 medical laboratories list ready for immediate outreach. Whether you need it as a medical laboratories lead finder, a medical laboratories lead scraper, or a medical laboratories email finder β€” this actor covers all three in a single automated run. It also doubles as a dependable medical laboratories data scraper for enriching your CRM or powering analytics. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Laboratory or diagnostics center name from Google Maps | | Website | Official website URL (if available) | | 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 emails discovered during the crawl | | Additional Phones | Extra phone numbers found on the website | | 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 | All results are produced by a reliable medical laboratories contact scraper that targets public pages such as Home, Contact, About, and footer sections. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Medical Laboratories", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Medical Laboratories", "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., "Medical Laboratories", "pathology labs", "diagnostics" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Austin, Texas"] | | `maxBusinesses` | Number | ❌ No | Max businesses with emails to return (1–1,000). 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 larger runs to avoid rate limits | *** #### πŸ“€ Sample Output ```json [ { "name": "Precision Diagnostics Lab", "website": "https://www.precisiondiagnosticslab.com", "phone": "+1 212-555-0147", "full_address": "245 Madison Ave, New York, NY 10016, United States", "city": "New York", "state": "NY", "zip": "10016", "country_code": "US", "scraped_emails": [ "info@precisiondiagnosticslab.com", "support@precisiondiagnosticslab.com" ], "scraped_phones": ["+1 212-555-0147", "+1 212-555-0182"], "scraped_social_media": [ "facebook:https://facebook.com/precisiondiagnosticslab", "linkedin:https://www.linkedin.com/company/precisiondiagnosticslab" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.6, "total_reviews": 89, "lat": 40.7508, "long": -73.9816, "place_id": "ChIJ-PRECISION-ID", "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 use ``` This streamlined pipeline functions as a Medical Laboratories finder (discovery) and a medical laboratories email scraper (extraction) in one workflow, making it a practical medical laboratories data scraper for growth teams. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint labs in your exact target areas β€” from neighborhoods to entire metro regions β€” and build geo-specific medical laboratories leads for highly targeted outreach. ##### πŸ” Deep Website Crawl and Email Extraction Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public medical laboratories email and phone number using a robust medical laboratories email extractor. ##### 🌎 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 medical laboratories list. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your records stay clean and reliable β€” no messy cleanup after export. ##### πŸ“Š Structured, CRM-Ready Output Consistent field names and normalized data are ready to import into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool. Ideal when using the actor as a medical laboratories contact finder. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate limiting β€” essential for agency-level campaigns using a medical laboratories lead scraper. ##### ⏱️ Stop at Your Target The run halts as soon as your `maxBusinesses` limit is reached β€” saving compute and budget. ##### πŸ”„ Schedulable & Repeatable Schedule daily, weekly, or monthly runs to continuously grow and refresh your medical laboratories leads. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build pitch lists for diagnostics labs, pathology centers, and blood testing facilities. Use this medical laboratories lead finder to power cold email sequences and channel partnerships. ##### πŸ§ͺ Equipment & Supply Vendors Target lab managers and purchasing contacts for reagents, analyzers, consumables, and LIS software. The medical laboratories contact scraper uncovers inboxes you won’t find in directories. ##### πŸ§‘β€βš•οΈ Staffing & Recruiting Identify hiring teams and labs actively seeking technologists and phlebotomists. The medical laboratories lead scraper accelerates candidate and client acquisition. ##### πŸ“£ Local & Regional Marketing Create geo-targeted campaigns with verified medical laboratories email and phone numbers pulled directly from lab websites. ##### 🀝 Partnerships & Referrals Find hospital-affiliated clinics, urgent care centers, and providers for referral relationships. Leverage the medical laboratories contact finder to expand your network. ##### πŸ—ƒοΈ CRM Enrichment Update missing emails, phones, and social profiles on existing accounts using this versatile medical laboratories email finder to improve deliverability and match rates. ##### πŸ“š Research & Market Analysis Use the actor as a medical laboratories data scraper to quantify market presence by region, analyze competition, and monitor brand coverage. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a 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 medical laboratories list without hitting any hard platform limits. Many teams treat this as their always-on medical laboratories data scraper for new pipeline. *** #### 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 contacts 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 β€” perfect when using the actor as a medical laboratories contact finder or email extractor in your stack. *** #### 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 "Medical Laboratories Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Medical Laboratories" or a niche variant like "pathology lab", "diagnostic lab", or "blood testing 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€” 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 Medical Laboratories 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 medical laboratories contact scraper is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts emails that are publicly visible on business websites β€” shared inboxes, admin contacts, and general inquiry addresses β€” using a compliant medical laboratories email extractor approach. 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. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your medical laboratories leads accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your medical laboratories list fresh. Q: What niches does the search term support?\ A: Any Google Maps searchable term β€” try "pathology lab", "diagnostic lab", "blood testing", "toxicology lab", "clinical laboratory", or "reference lab." Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ businesses to avoid rate limits. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook and pipe them into your CRM. Q: How is this different from manual Google searching?\ A: Manual search is slow and inconsistent. This automated medical laboratories lead finder runs discovery and extraction at scale in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh medical laboratories 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 (e.g., pathology, toxicology, imaging centers) - Bulk or enterprise run support - Integration assistance with your outreach stack Built for marketing teams, vendors, and operators who need reliable medical laboratories 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": "Medical Laboratories", "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": "Medical Laboratories", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/medical-laboratories-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": "Medical Laboratories", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/medical-laboratories-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": "Medical Laboratories", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/medical-laboratories-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/medical-laboratories-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Medical Laboratories Email Scraper", "description": "Medical laboratories email scraper to extract verified lab emails from diagnostic centers, testing facilities, and healthcare directories πŸ“§πŸ”¬ Perfect for healthcare outreach, partnerships, and medical industry lead generation.", "version": "1.0", "x-build-id": "FLV8exYxotry0sfAG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~medical-laboratories-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-medical-laboratories-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~medical-laboratories-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-medical-laboratories-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~medical-laboratories-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-medical-laboratories-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": "Medical Laboratories" }, "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 } } } } } } } } } } ```