# Oil And Gas Company Email Scraper (`contacts-api/oil-and-gas-company-email-scraper`) Actor Oil and gas company email scraper to extract verified emails from oil producers, gas companies, energy firms, and industry directories πŸ“§β›½ Perfect for B2B lead generation, partnerships, and energy sector outreach. Fast, accurate, and scalable. - **URL**: https://apify.com/contacts-api/oil-and-gas-company-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 ### β›½ Oil And Gas Company Email Scraper β€” Find Verified Energy Contacts At Scale > The fastest way to build a targeted oil and gas company list. This oil and gas company email scraper searches Google Maps for oil and gas operators, service firms, and equipment vendors across any region, crawls their websites, and extracts verified oil and gas company email addresses, phones, and social profiles β€” all in one clean, export-ready dataset for instant outreach. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Oil And Gas Company", "petroleum engineering services", "pipeline contractors" 2. Add one or more target locations β€” e.g., "Houston, Texas", "Aberdeen, UK", "Dubai, UAE" 3. Set your desired number of businesses with emails 4. Hit Run and get your oil and gas company leads in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is The Oil And Gas Company Email Scraper? The Oil And Gas Company Email Scraper is a purpose-built contact discovery and lead generation tool for the energy sector. It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data β€” producing a clean, deduplicated oil and gas company list ready for immediate use. Built for: - Energy technology and SaaS sales teams - Equipment suppliers and service providers - Procurement and vendor development teams - Recruiters and staffing agencies in the energy sector - Research, M&A, and market intelligence analysts Use it as an oil and gas company email finder, an oil and gas company lead scraper, or an oil and gas company contact finder β€” this oil and gas company email scraper covers all three in a single automated run. It’s equally effective as an oil and gas company lead finder for upstream, midstream, and downstream segments. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | 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 oil and gas company 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 | This is an energy-focused oil and gas company data scraper β€” ideal for creating targeted outreach lists by role, location, or service category. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Oil And Gas Company", "googleMapsLocation": ["Houston, Texas"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Oil And Gas Company", "googleMapsLocation": [ "Houston, Texas", "Midland, Texas", "Bakersfield, California", "Calgary, Alberta" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type to search β€” e.g., "Oil And Gas Company", "pipeline contractors", "petroleum consultants" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["Houston, Texas", "Aberdeen, UK"] | | `maxBusinesses` | Number | βœ… 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": "PetroNova Energy Services", "website": "https://www.petronovaenergy.com", "phone": "+1 713-555-0147", "full_address": "1401 Main St, Houston, TX 77002, United States", "city": "Houston", "state": "TX", "zip": "77002", "country_code": "US", "scraped_emails": [ "info@petronovaenergy.com", "sales@petronovaenergy.com" ], "scraped_phones": ["+1 713-555-0147", "+1 713-555-0188"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/petronovaenergy/", "twitter:https://twitter.com/petronovaenergy" ], "emails_found": 2, "pages_scraped": 19, "avg_rating": 4.6, "total_reviews": 42, "lat": 29.7531, "long": -95.3657, "place_id": "ChIJx-EXAMPLEID123", "scrape_status": "success" }, { "name": "Gulfstream Petroleum LLC", "website": "https://www.gulfstreampetroleum.com", "phone": "+1 832-555-0220", "full_address": "2550 Post Oak Blvd, Houston, TX 77056, United States", "city": "Houston", "state": "TX", "zip": "77056", "country_code": "US", "scraped_emails": [ "contact@gulfstreampetroleum.com" ], "scraped_phones": ["+1 832-555-0220"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/gulfstream-petroleum/" ], "emails_found": 1, "pages_scraped": 12, "avg_rating": 4.3, "total_reviews": 18, "lat": 29.7421, "long": -95.4619, "place_id": "ChIJy-EXAMPLEID456", "scrape_status": "partial" } ] ``` *** #### 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, CSR, Careers) 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 actor is built to work as both an oil and gas company lead finder and an oil and gas company email scraper in a single automated pipeline β€” effectively operating as an oil and gas company data scraper to power research, sales, or vendor mapping. *** #### ✨ Key Features ##### 🎯 Energy-Focused Discovery - Precise location targeting for upstream, midstream, and downstream firms. - Build hyper-local oil and gas company leads for field sales, vendor outreach, or recruiting. ##### πŸ” Deep Website Crawl & Email Capture - Crawls homepages, contact pages, team pages, and footers to surface every available public oil and gas company email and phone number. - Works as an oil and gas company email extractor and oil and gas company email finder for accurate contact discovery. ##### 🧰 Contact & Social Enrichment - Extracts multiple inboxes per domain (info, sales, careers) and LinkedIn/Twitter URLs. - Functions as an oil and gas company contact scraper and oil and gas company contact finder to enrich your pipeline. ##### 🧹 Smart De-Duplication - Deduplicates emails per domain and normalizes formats β€” ideal for CRM imports. - Keeps your oil and gas company list clean and ready for outreach. ##### 🌎 Multi-Region Scaling - Add dozens of cities or basins in one run. - Choose a combined cap or per-location cap to balance output across regions. ##### πŸ›‘οΈ Proxy-Ready for Reliability - Built-in proxy support ensures stable, large-scale runs without rate limits. - Recommended for high-volume oil and gas company leads campaigns. ##### πŸ“Š Structured, CRM-Ready Output - Consistent fields for seamless imports into HubSpot, Salesforce, Apollo, or spreadsheets. - Ideal when you need a repeatable oil and gas company data scraper for enrichment. ##### ⏱️ Stop At Your Target - Automatically halts when your maxBusinesses threshold is hit β€” no wasted compute. ##### πŸ”„ Schedulable & Repeatable - Run daily, weekly, or monthly to refresh your oil and gas company list and stay current. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Sales & Partnerships - Target operators, EPCs, and service providers with verified oil and gas company leads. - Use it as an oil and gas company lead scraper to fill sequences or outbound campaigns. ##### 🧾 Vendor & Procurement Mapping - Build a geo-segmented oil and gas company list of suppliers, OEMs, and distributors. - Works as an oil and gas company contact finder for vendor onboarding. ##### πŸ§‘β€πŸ’Ό Recruiting & Staffing - Identify HR/careers inboxes and company contacts for hiring outreach across basins. ##### πŸ“£ Marketing & Event Outreach - Compile energy firms near conferences or trade shows using the oil and gas company email finder workflow. ##### 🧠 Market Research & Intelligence - Leverage the oil and gas company data scraper to map segments (well services, pipelines, refineries) across regions. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a niche prospect list to a regional database β€” results depend on: - Number of locations added - Search term breadth (niche vs. broad terms) - Website density and email visibility in each market - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout Typical Output Ranges - Small (1–3 cities): 20 – 100 businesses with emails - Medium (5–15 cities): 200 – 600 businesses with emails - Large (20+ cities / states): 800 – 1,000+ per run Run multiple times across different regions to continuously grow your oil and gas company list without hitting platform limits. *** #### 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 workflows - Zapier / Make: Trigger automations when new oil and gas company leads are found - Webhooks: Push records to your CRM or pipeline on run completion Plug into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that accepts CSV/JSON imports β€” perfect for distributing your oil and gas company list to teams. *** #### 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 "Oil And Gas Company Email Scraper" in the Apify Store and click Try for free. - Step 3 β€” Set Your Search Term Enter "Oil And Gas Company" or niche variants like "wireline services", "pipeline contractors", "refinery maintenance", "EPC firm". - Step 4 β€” Add Target Locations Enter one or more city/state or country combinations β€” e.g., "Houston, Texas", "Midland, Texas", "Calgary, Alberta", "Aberdeen, UK", "Abu Dhabi, UAE". - 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 larger campaigns. - 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 or region - Step 7 β€” Enable Proxies Turn on Apify Proxy for stable, uninterrupted crawling at scale. - Step 8 β€” Run Click Start and let the Oil And Gas Company Email Scraper do the work. - Step 9 β€” Export Download as JSON, CSV, or Excel β€” or pull via API and webhooks. *** #### βš–οΈ Legal & Compliance This tool collects only publicly available business contact information β€” emails and phone numbers published openly on company websites. Best practices: - Use only publicly visible oil and gas company email and phone 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 oil and gas company contact scraper is intended for ethical business prospecting and research only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions - Does this scrape private or personal emails? No. It only extracts emails that are publicly visible on business websites β€” general inboxes and department contacts. It acts as an oil and gas company email extractor for public-facing data. - Can I search multiple cities in one run? Yes. Add as many locations as needed. Use per-location capping for even geographic distribution of oil and gas company leads. - Does it deduplicate results? Yes. Emails are deduplicated per domain to keep your oil and gas company list accurate and ready for CRM import. - Is proxy usage required? Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and ensure consistency from this oil and gas company data scraper. - How is this different from manual search? Manual search is slow and inconsistent. This automates discovery and extraction β€” functioning as both an oil and gas company lead scraper and an oil and gas company contact finder β€” with normalized, export-ready output. - What niches does the search term support? Any Google Maps-searchable term related to energy β€” try "EPC contractor", "oilfield services", "pipeline inspection", "refinery maintenance", "petroleum consultant". *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? - Email: scrapermindapi@gmail.com - We can help with: - Custom input/output configurations - Niche-specific adaptations (e.g., pipelines, EPCs, LNG, offshore) - Bulk or enterprise run support - CRM and automation integrations Built for energy marketers, vendors, and analysts who need accurate oil and gas company 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": "Oil And Gas Company", "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": "Oil And Gas Company", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/oil-and-gas-company-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": "Oil And Gas Company", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/oil-and-gas-company-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": "Oil And Gas Company", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/oil-and-gas-company-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/oil-and-gas-company-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Oil And Gas Company Email Scraper", "description": "Oil and gas company email scraper to extract verified emails from oil producers, gas companies, energy firms, and industry directories πŸ“§β›½ Perfect for B2B lead generation, partnerships, and energy sector outreach. Fast, accurate, and scalable.", "version": "1.0", "x-build-id": "lUYs1rYVvaMEbxAEb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~oil-and-gas-company-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-oil-and-gas-company-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~oil-and-gas-company-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-oil-and-gas-company-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~oil-and-gas-company-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-oil-and-gas-company-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": "Oil And Gas Company" }, "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 } } } } } } } } } } ```