# Reproductive Health Nurses Email Scraper (`contacts-api/reproductive-health-nurses-email-scraper`) Actor Reproductive health nurses email scraper to extract verified nurse emails from clinics, hospitals, and healthcare directories πŸ“§πŸ©Ί Perfect for healthcare outreach, recruitment, and reproductive health lead generation. - **URL**: https://apify.com/contacts-api/reproductive-health-nurses-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 1 total users, 0 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 ### 🧬 Reproductive Health Nurses Email Scraper β€” Find Verified Leads In Minutes > The fastest way to build a targeted reproductive health nurses list. This actor searches Google Maps for Reproductive Health Nurses and related practices in any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles β€” all in one clean, export-ready dataset built for reproductive health nurses leads. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Reproductive Health Nurses" 2. Add one or more target locations β€” e.g., "New York" or "Miami, Florida" 3. Set your desired number of businesses with emails 4. Hit Run and get results in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is The Reproductive Health Nurses Email Scraper? The Reproductive Health Nurses Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Healthcare marketing teams and agencies - Staffing and recruiting specialists - B2B outreach professionals and consultants - Researchers and public health analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing an accurate, deduplicated reproductive health nurses list ready for immediate use. Use it as a reproductive health nurses lead finder or a reproductive health nurses lead scraper when you need rapid discovery of practices and clinics. It also works as a reproductive health nurses email finder and reproductive health nurses email extractor to surface publicly listed inboxes in seconds. For broader workflows, the actor doubles as a reproductive health nurses contact scraper and reproductive health nurses contact finder to gather phones and social links. If you need structured data at scale, it’s a reliable reproductive health nurses data scraper that outputs clean, CRM-ready records. Whether your priority is gathering reproductive health nurses email contacts, sourcing fresh reproductive health nurses leads, or enriching your internal database, this tool streamlines the entire pipeline. --- #### 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 reproductive health nurses email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, X/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": "Reproductive Health Nurses", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Reproductive Health Nurses", "googleMapsLocation": [ "New York", "Miami, Florida", "Los Angeles, California" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type to search β€” e.g., "Reproductive Health Nurses", "women’s health clinic" | | `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). If omitted, uses default | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location. If false, it's a combined total | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs | *** #### πŸ“€ Sample Output ```json [ { "name": "Harbor Women’s Health Nursing Group", "website": "https://www.harborwomensnursing.org", "phone": "+1 212-555-0142", "full_address": "415 West 56th St, New York, NY 10019, United States", "city": "New York", "state": "NY", "zip": "10019", "country_code": "US", "scraped_emails": [ "info@harborwomensnursing.org", "referrals@harborwomensnursing.org" ], "scraped_phones": ["+1 212-555-0142", "+1 212-555-0179"], "scraped_social_media": [ "facebook:https://facebook.com/harborwomensnursing", "linkedin:https://linkedin.com/company/harbor-womens-nursing" ], "emails_found": 2, "pages_scraped": 11, "avg_rating": 4.7, "total_reviews": 93, "lat": 40.7681, "long": -73.9869, "place_id": "ChIJ2Y-EXAMPLEID1", "scrape_status": "success" } ] ``` *** #### πŸ”§ How The Reproductive Health Nurses Email Scraper 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 ``` This pipeline functions as a reproductive health nurses contact scraper and a reproductive health nurses data scraper in one automated run β€” enabling both discovery and extraction without manual effort. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint practices by city, state, or region and receive hyper-local reproductive health nurses leads suitable for outreach and territory planning. ##### πŸ” Deep Website Crawl Goes beyond listings to scan contact, about, careers, and footer sections β€” maximizing discovery of reproductive health nurses email details with a reliable reproductive health nurses email extractor approach. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap to build a broad reproductive health nurses list fast. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your dataset stays clean β€” perfect for a repeatable reproductive health nurses lead scraper workflow. ##### πŸ“Š Structured, CRM-Ready Output Normalized fields and consistent formats so you can push reproductive health nurses leads directly into HubSpot, Salesforce, Apollo, or Instantly without reformatting. ##### πŸ›‘οΈ Proxy-Ready For Reliability Built-in proxy support prevents rate limits and IP blocks β€” ideal for agency-scale campaigns and larger runs. ##### ⏱️ Stop At Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Schedule recurring runs to grow and refresh your reproductive health nurses list automatically β€” weekly or monthly. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Generate verified reproductive health nurses leads for clinics, hospital units, and community programs. Use it as your reproductive health nurses lead finder to fuel cold email campaigns. ##### πŸ§‘β€βš•οΈ Healthcare Staffing & Recruiting Quickly identify practices and hiring contacts. The reproductive health nurses lead scraper uncovers emails and numbers you won’t find on job boards. ##### πŸ“£ Local & Regional Marketing Build geo-targeted campaigns with fresh reproductive health nurses email contacts and phones extracted directly from websites. ##### 🀝 Partnership & Referral Development Discover complementary providers for partnerships β€” OBGYN practices, midwifery groups, women’s health clinics β€” using the reproductive health nurses contact finder workflow. ##### πŸ—ƒοΈ CRM Enrichment & Data Hygiene Use the reproductive health nurses email finder to enrich existing records with missing emails, phones, and social profiles β€” then keep them up to date with scheduled runs. ##### πŸ“š Research & Public Health For surveys, studies, and outreach, rely on a compliant reproductive health nurses data scraper to compile contact directories efficiently. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large regional dataset β€” results depend on: - Number of locations added - Search term breadth (broad vs. niche) - Website density and email visibility in each market - maxBusinesses cap 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 expand your reproductive health nurses list without hitting hard 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 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. *** #### 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 "Reproductive Health Nurses Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term\ Enter "Reproductive Health Nurses" or niche variants like "women’s health nurse clinic" or "family planning nurse". - 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\ β€’ Combined cap: The total across all locations\ β€’ 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 Reproductive Health Nurses 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€” including reproductive health nurses email addresses and phone numbers that are 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 (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This tool is intended for ethical business prospecting and research. You are responsible for how you use the data collected by this reproductive health nurses data 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€” typical clinic inboxes and admin contacts discovered by the reproductive health nurses contact scraper. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed and choose whether to cap results per location or combined. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your reproductive health nurses leads clean and accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s scheduler to run weekly or monthly and maintain a fresh reproductive health nurses list. Q: What niches does the search term support?\ A: Any Google Maps searchable term β€” try "reproductive health clinic", "family planning nurse", or "women’s health nurse navigator". For contact discovery, the reproductive health nurses contact finder approach works across related practices. Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and ensure reliability. 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 reproductive health nurses email finder automates discovery and extraction end-to-end β€” saving hours per campaign. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh reproductive health nurses leads on a recurring basis. Many use it as a reproductive health nurses lead finder and reproductive health nurses lead scraper in their client delivery workflows. *** #### 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 marketers, recruiters, and outreach teams who need accurate data fast β€” let the Reproductive Health Nurses Email Scraper power your next campaign. 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": "Reproductive Health Nurses", "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": "Reproductive Health Nurses", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/reproductive-health-nurses-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": "Reproductive Health Nurses", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/reproductive-health-nurses-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": "Reproductive Health Nurses", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/reproductive-health-nurses-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/reproductive-health-nurses-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reproductive Health Nurses Email Scraper", "description": "Reproductive health nurses email scraper to extract verified nurse emails from clinics, hospitals, and healthcare directories πŸ“§πŸ©Ί Perfect for healthcare outreach, recruitment, and reproductive health lead generation.", "version": "1.0", "x-build-id": "JLAc5ImbJ5cGMmPDi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~reproductive-health-nurses-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-reproductive-health-nurses-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~reproductive-health-nurses-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-reproductive-health-nurses-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~reproductive-health-nurses-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-reproductive-health-nurses-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": "Reproductive Health Nurses" }, "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 } } } } } } } } } } ```