# Pharmaceutical Manufacturing Email Scraper (`contacts-api/pharmaceutical-manufacturing-email-scraper`) Actor Pharmaceutical manufacturing email scraper to extract verified emails from pharma manufacturers, drug companies, and industry directories πŸ“§πŸ’Š Perfect for B2B outreach, partnerships, and healthcare industry lead generation. Fast, accurate, and scalable. - **URL**: https://apify.com/contacts-api/pharmaceutical-manufacturing-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation - **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 Pharmaceutical Manufacturing Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted pharmaceutical manufacturing list. This actor searches Google Maps for pharmaceutical manufacturers across any city, crawls their websites, and extracts verified pharmaceutical manufacturing email contacts, phone numbers, and social media profiles β€” all in one clean, export-ready dataset of pharmaceutical manufacturing leads. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Pharmaceutical Manufacturing" 2. Add one or more target locations β€” e.g., "New York", "Boston, Massachusetts" 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 Pharmaceutical Manufacturing Email Scraper? The Pharmaceutical Manufacturing Email Scraper is a purpose-built lead generation and contact discovery tool for: - Pharma and biotech vendors, CDMOs/CMOs, and equipment suppliers - B2B sales teams and agencies serving regulated manufacturing - Recruiters and staffing firms in life sciences - Researchers mapping facilities and supply chains It combines Google Maps listing discovery with deep website crawling to capture publicly available contact data and return a clean, deduplicated pharmaceutical manufacturing list that’s ready for outreach. Whether you need it as a pharmaceutical manufacturing email finder, a pharmaceutical manufacturing lead scraper, or a pharmaceutical manufacturing lead finder β€” this actor covers all three in a single automated run. Looking to extract every public pharmaceutical manufacturing email and relevant social link? This pharmaceutical manufacturing email extractor crawls key pages and returns normalized results you can plug directly into your tools. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Manufacturer 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 emails extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | LinkedIn, Twitter (X), Facebook, Instagram, 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": "Pharmaceutical Manufacturing", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Pharmaceutical Manufacturing", "googleMapsLocation": [ "New York", "Boston, Massachusetts", "San Diego, California" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | googleMapsSearchTerm | String | Yes | Business type to search β€” e.g., "Pharmaceutical Manufacturing", "biologics manufacturer", "CDMO" | | googleMapsLocation | Array | Yes | One or more locations β€” e.g., \["New York", "Boston, Massachusetts"] | | maxBusinesses | Number | Yes | Max businesses with emails to return (1–1,000) | | 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": "Apex Biologics Manufacturing, Inc.", "website": "https://www.apexbiologicsmfg.com", "phone": "+1 212-555-0174", "full_address": "445 Hudson St, New York, NY 10014, United States", "city": "New York", "state": "NY", "zip": "10014", "country_code": "US", "scraped_emails": [ "info@apexbiologicsmfg.com", "bd@apexbiologicsmfg.com" ], "scraped_phones": ["+1 212-555-0174", "+1 212-555-0143"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/apex-biologics-manufacturing", "twitter:https://twitter.com/apexbiomfg" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.6, "total_reviews": 38, "lat": 40.7335, "long": -74.0069, "place_id": "ChIJxy-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under the Hood ``` Step 1 β†’ Search Google Maps using your term + location Step 2 β†’ Collect business listings (name, address, phone, website) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, footer, and policy pages) 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 ``` The pipeline functions as both a pharmaceutical manufacturing lead finder and a pharmaceutical manufacturing lead scraper, delivering export-ready data from a single run. It’s also a dependable pharmaceutical manufacturing data scraper when you need structured outputs for enrichment or analytics. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint manufacturers in any city, state, or region. Ideal for building hyper-local pharmaceutical manufacturing leads for field sales and ABM programs. ##### πŸ” Deep Website Crawl Goes beyond the Google listing. Crawls home, contact, about, and footer sections to surface every available public pharmaceutical manufacturing email and phone number. Works as an efficient pharmaceutical manufacturing email extractor across multiple domains. ##### 🌎 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 pharmaceutical manufacturing list. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes formatting β€” no messy cleanup required after export. ##### πŸ“Š Structured, CRM-Ready Output Consistent field names and clean arrays for emails, phones, and social links. Use it as a pharmaceutical manufacturing contact scraper to power workflows in HubSpot, Salesforce, or your data warehouse. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support for stable, large-scale runs without rate-limiting or IP blocks β€” essential when scaling to hundreds of facilities. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached β€” no wasted compute, no overage. ##### πŸ”„ Schedulable & Repeatable Set it to run daily, weekly, or monthly to continuously grow and refresh your pipeline of pharmaceutical manufacturing leads. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Fuel cold outreach to manufacturers, CDMOs/CMOs, and packaging providers. Use it to assemble pharmaceutical manufacturing leads with verified emails and phones. ##### πŸ§ͺ Vendor & Equipment Sourcing Identify plant contacts for equipment, cleanroom, QA/QC, or packaging solutions. Acts as a fast pharmaceutical manufacturing contact finder for supplier teams. ##### 🀝 Partnerships & CDMO Scouting Find and evaluate potential partners or service providers. Pair the pharmaceutical manufacturing email finder with your market research to accelerate discovery. ##### πŸ§‘β€πŸ’Ό Recruiting & Staffing Locate HR and operations inboxes across facilities. The tool doubles as a pharmaceutical manufacturing lead finder for talent acquisition and contractor outreach. ##### πŸ—ƒοΈ CRM Enrichment Update existing records with missing emails, phones, and social links. Use the pharmaceutical manufacturing contact scraper to backfill contact points at scale. ##### πŸ“š Research & Market Mapping Build datasets of manufacturers by city or region for analysis and segmentation with the help of a reliable pharmaceutical manufacturing data scraper. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a large coverage map β€” results depend on: - Number of locations added - Search term breadth (niche vs. broad) - Website density and email visibility in your target markets - 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 campaigns across different regions to continuously grow your pharmaceutical manufacturing list and keep your pipeline of pharmaceutical manufacturing leads fresh. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - 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 platform that accepts CSV/JSON imports β€” perfect when you use the actor as a pharmaceutical manufacturing data scraper for reporting and activation. *** #### 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 "Pharmaceutical Manufacturing Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term\ Enter "Pharmaceutical Manufacturing" or a niche variant like "biologics manufacturer", "CDMO", "sterile injectables", or "API manufacturer". - Step 4 β€” Add Target Locations\ Enter one or more city/state combos β€” e.g., "New York", "Boston, Massachusetts", "San Diego, California". - 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 combined\ 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 pharmaceutical manufacturing email scraper do the work. - Step 9 β€” Export\ Download as JSON, CSV, or Excel β€” or pull via API straight into your stack and share your pharmaceutical manufacturing list with your team. *** #### βš–οΈ Legal & Compliance This tool collects only publicly available business contact information β€” emails and phone numbers published openly on websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: - GDPR (European Union) - CAN-SPAM Act (United States) - CASL (Canada) - PECR (United Kingdom) This pharmaceutical manufacturing contact scraper is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions - Does this scrape private or personal emails?\ No. The actor only extracts emails that are publicly visible on business websites β€” general inboxes, admin contacts, and department addresses. - Can I search multiple cities in one run?\ Yes. Add as many locations as needed. Use per-location capping for even geographic distribution. - Does it deduplicate results?\ Yes. Emails are deduplicated per domain to keep your records accurate. - Can I schedule recurring runs?\ Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your pharmaceutical manufacturing leads refreshed. - Is this a pharmaceutical manufacturing email extractor or a lead finder?\ Both. It functions as a pharmaceutical manufacturing email extractor for public website emails and doubles as a pharmaceutical manufacturing lead finder for discovery and aggregation. - Can I use it as a pharmaceutical manufacturing contact finder for specific departments?\ If emails are published (e.g., BD, sales, HR, info), the crawler will collect them. Department specificity depends on what’s publicly available on the site. - Is this a pharmaceutical manufacturing data scraper suitable for analytics?\ Yes. The structured output (JSON/CSV) makes it useful for reporting, enrichment, and pipeline analytics. - What niches does the search term support?\ Any Google Maps searchable term in manufacturing or life sciences β€” try "API manufacturer", "sterile manufacturing", "biologics CDMO", "packaging for pharma", or "fill-finish". - Are proxies required?\ Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and maintain stability. - What export formats are available?\ JSON, CSV, and Excel. You can also consume results via the Apify API or webhooks. - How is this different from manual Google searching?\ Manual search is slow, inconsistent, and doesn’t extract emails at scale. This actor automates discovery, crawl, extraction, and normalization β€” reducing hours of work to minutes. *** #### 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., API/biologics, sterile injectables, packaging) - Bulk or enterprise run support - Integration assistance Built for vendors, agencies, and teams who need accurate pharmaceutical manufacturing 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": "Pharmaceutical Manufacturing", "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": "Pharmaceutical Manufacturing", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/pharmaceutical-manufacturing-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": "Pharmaceutical Manufacturing", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/pharmaceutical-manufacturing-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": "Pharmaceutical Manufacturing", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/pharmaceutical-manufacturing-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/pharmaceutical-manufacturing-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pharmaceutical Manufacturing Email Scraper", "description": "Pharmaceutical manufacturing email scraper to extract verified emails from pharma manufacturers, drug companies, and industry directories πŸ“§πŸ’Š Perfect for B2B outreach, partnerships, and healthcare industry lead generation. Fast, accurate, and scalable.", "version": "1.0", "x-build-id": "KdzqhBeShdhmN7lhd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~pharmaceutical-manufacturing-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-pharmaceutical-manufacturing-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~pharmaceutical-manufacturing-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-pharmaceutical-manufacturing-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~pharmaceutical-manufacturing-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-pharmaceutical-manufacturing-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": "Pharmaceutical Manufacturing" }, "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 } } } } } } } } } } ```