# Plastic Manufacturers Email Scraper (`contacts-api/plastic-manufacturers-email-scraper`) Actor Plastic manufacturers email scraper to extract verified emails from plastic manufacturing companies, factories, and industry directories ๐Ÿ“ง๐Ÿญ Perfect for B2B outreach, supplier partnerships, and manufacturing lead generation. - **URL**: https://apify.com/contacts-api/plastic-manufacturers-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, 0.0% 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 ### ๐Ÿญ Plastic Manufacturers Email Scraper โ€” Find Verified B2B Contacts Fast > The fastest way to build a targeted plastic manufacturers list. This actor searches Google Maps for plastic production companies in any location, crawls their websites, and extracts verified emails, phones, and social links to fuel your plastic manufacturers leads pipeline. --- #### ๐Ÿš€ Quick Start 1. Enter your search term โ€” e.g., "Plastic Manufacturers", "Injection Molding", "Plastic Extruders" 2. Add one or more target locations โ€” 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. --- #### ๐Ÿ’ก What Is the Plastic Manufacturers Email Scraper? The Plastic Manufacturers Email Scraper is a specialized lead generation and contact discovery tool built for: - OEM procurement and sourcing teams - Industrial suppliers and distributors - Sales and partnerships teams targeting plastics plants - Market researchers and data analysts It combines Google Maps discovery with deep website crawling to extract publicly available contact data โ€” producing an accurate, deduplicated database of manufacturers with emails you can use immediately. Whether you need a plastic manufacturers lead finder, a plastic manufacturers email finder, or a plastic manufacturers lead scraper, this workflow covers all three in one automated run. Think of it as your end-to-end plastic manufacturers email extractor for reliable outreach at scale. This plastic manufacturers email scraper is ideal for finding injection molders, thermoformers, blow molders, extruders, recyclers, and custom fabricators in any region. --- #### ๐Ÿ“ฆ 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 plastic manufacturers email addresses found on the site | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, LinkedIn, Instagram, 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 | --- #### โš™๏ธ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Plastic Manufacturers", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Plastic Manufacturers", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | โœ… Yes | Business type or niche โ€” e.g., "Plastic Manufacturers", "injection molding", "plastic extrusion" | | `googleMapsLocation` | Array | โœ… Yes | One or more locations โ€” e.g., \["New York", "Dallas, Texas"] | | `maxBusinesses` | Number | โŒ No | Max businesses with emails to return (1โ€“1,000). Stops when target reached | | `scrapeMaxBusinessesPerLocation` | Boolean | โŒ No | If true, applies `maxBusinesses` per location; if false, applies a combined total | | `proxyConfiguration` | Object | โŒ No | Proxy settings. Strongly recommended for large runs and stability | *** #### ๐Ÿ“ค Sample Output ```json [ { "name": "Apex Custom Plastics", "website": "https://www.apexcustomplastics.com", "phone": "+1 212-555-0146", "full_address": "245 Hudson St, New York, NY 10013, United States", "city": "New York", "state": "NY", "zip": "10013", "country_code": "US", "scraped_emails": [ "sales@apexcustomplastics.com", "info@apexcustomplastics.com" ], "scraped_phones": ["+1 212-555-0146", "+1 212-555-0198"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/apex-custom-plastics", "facebook:https://www.facebook.com/apexcustomplastics" ], "emails_found": 2, "pages_scraped": 17, "avg_rating": 4.6, "total_reviews": 52, "lat": 40.7267, "long": -74.0072, "place_id": "ChIJ1234EXAMPLEID", "scrape_status": "success" } ] ``` *** #### ๐Ÿ”ง How It Works โ€” Under the Hood ``` Step 1 โ†’ Search Google Maps using your term + location Step 2 โ†’ Collect company listings (name, address, phone, website) Step 3 โ†’ Visit each website and crawl key pages (Home, Contact, About, Careers, Footer) Step 4 โ†’ Extract public emails, phone numbers, and social media links Step 5 โ†’ Deduplicate and normalize all contact data per domain Step 6 โ†’ Return structured results for export or API consumption ``` This pipeline operates as a plastic manufacturers lead finder and a plastic manufacturers lead scraper, with a built-in plastic manufacturers email extractor for complete contact discovery. It also functions as a reliable plastic manufacturers contact scraper when you need phones and social profiles alongside emails. *** #### โœจ Key Features ##### ๐ŸŽฏ Precise Location Targeting Target any city, state, or region. The actor pinpoints manufacturers in your exact areas and returns localized plastic manufacturers leads ready for action. ##### ๐Ÿ” Deep Website Crawl Goes beyond Google Maps listings. Crawls homepages, contact pages, team pages, and footers to surface every available public plastic manufacturers email and phone number. ##### ๐ŸŒŽ Multi-Location Scaling Run across dozens of cities in one go. Choose a combined cap or a per-location cap to build a comprehensive plastic manufacturers list across markets. ##### ๐Ÿงน Smart De-Duplication Removes duplicate emails per domain to keep records clean and outreach-ready โ€” no manual cleanup after export. ##### ๐Ÿ“Š Structured, CRM-Ready Output Normalized fields for easy import into HubSpot, Salesforce, Apollo, Instantly, and more. Perfect for automated pipeline building. ##### ๐Ÿ›ก๏ธ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate limits โ€” ideal for agency and enterprise workflows using a plastic manufacturers lead scraper. ##### โฑ๏ธ Stop at Your Target Automatically halts when `maxBusinesses` is reached to save compute and time. ##### ๐Ÿ”„ Schedulable & Repeatable Run daily, weekly, or monthly to refresh and grow your pipeline with consistent plastic manufacturers leads. ##### ๐Ÿงญ Contact Discovery & Normalization Combines company emails, phones, and social links in one dataset โ€” making it a practical plastic manufacturers contact scraper for end-to-end prospecting. *** #### ๐ŸŽฏ Use Cases ##### ๐Ÿ’ผ B2B Outreach & Sales Build targeted campaigns for injection molders, extruders, and thermoformers. Use it as a plastic manufacturers lead finder to identify new accounts and expand territories. ##### ๐Ÿงพ Procurement & Vendor Sourcing Find potential suppliers by material, process, or region. As a plastic manufacturers contact finder, it rapidly compiles vetted vendor options with direct emails and phones. ##### ๐Ÿ“ฆ Packaging, Resin, and Tooling Suppliers Generate qualified plastic manufacturers leads to sell resins, colorants, molds, tooling, and auxiliary equipment. ##### ๐Ÿ“š Market Research & Competitive Analysis Map local and national segments. This plastic manufacturers data scraper helps researchers analyze footprints, density, and contact availability by region. ##### ๐Ÿข Agency Client Delivery Run repeatable scrapes to deliver fresh prospects for clients in manufacturing and industrial verticals. ##### ๐Ÿ—ƒ๏ธ CRM Enrichment Fill gaps in your database with missing emails, phone numbers, and social links using the built-in plastic manufacturers email finder. *** #### ๐Ÿ“ˆ How Many Results Can You Get? Scale from a small prospect list to a broad industrial database โ€” results depend on: - Number of locations added - Search term breadth (niche vs. broad manufacturing 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 | Campaign Size | Businesses with Emails | |---|---| | Small (1โ€“3 cities) | 20 โ€“ 100 | | Medium (5โ€“15 cities) | 200 โ€“ 600 | | Large (20+ cities / states) | 800 โ€“ 1,000+ per run | Run across different regions to continuously grow your plastic manufacturers list without hitting hard platform limits. For long-running research or enrichment tasks, the actor performs as a dependable plastic manufacturers data scraper. *** #### ๐Ÿ”Œ Integrations & Export Options Once your run completes, you can: | Option | Details | |---|---| | JSON | Full structured data download | | CSV / Excel | Import directly into spreadsheets | | Apify API | Stream results into your own apps or workflows | | Zapier / Make | Trigger automations when new leads are found | | Webhooks | Push results to your CRM or pipeline on run completion | Connect the output of this plastic manufacturers data scraper directly to Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON. *** #### ๐Ÿ› ๏ธ Step-by-Step Usage Guide Step 1 โ€” Log in to Apify\ Create a free account or sign in at apify.com. Step 2 โ€” Open the Actor\ Search for "Plastic Manufacturers Email Scraper" in the Apify Store and click Try for free. Step 3 โ€” Set Your Search Term\ Enter "Plastic Manufacturers" or a niche term like "injection molding", "thermoforming", or "plastic extrusion". Step 4 โ€” Add Target Locations\ Add one or more locations โ€” e.g., "New York", "Cleveland, Ohio", "Wilmington, North Carolina". Step 5 โ€” Set Your Limit\ Choose how many businesses with emails you want โ€” 20 for a quick test, up to 1,000 for a full campaign. Step 6 โ€” Choose Scaling Strategy - Combined cap: applies the total across all locations - Per-location cap: applies your limit independently to each city Step 7 โ€” Enable Proxies\ Turn on Apify Proxy for stable, uninterrupted crawling at scale. Step 8 โ€” Run ๐Ÿš€\ Click Start and let the plastic manufacturers email scraper do the work. Step 9 โ€” Export\ Download as JSON, CSV, or Excel โ€” or pull via API straight into your stack. *** #### โš–๏ธ Legal & Compliance This actor collects only publicly available business contact information โ€” emails and phone numbers published on company 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 outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: | Regulation | Region | |---|---| | GDPR | European Union | | CAN-SPAM Act | United States | | CASL | Canada | | PECR | United Kingdom | This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected by this plastic manufacturers contact scraper and plastic manufacturers data scraper. *** #### โ“ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. It only extracts emails that are publicly visible on company websites โ€” sales inboxes, admin contacts, and general inquiry addresses. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed and use per-location capping for even geographic distribution. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your exports clean and accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify's scheduler to run weekly or monthly and keep your plastic manufacturers leads fresh. Q: What niches does the search term support?\ A: Any Google Maps searchable term โ€” try "injection molding", "blow molding", "thermoforming", "plastic extrusion", or "plastic fabrication". Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to reduce rate limits and improve reliability. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhooks. Q: How is this different from manual Google searching?\ A: Manual search is slow and inconsistent. This workflow automates discovery and contact extraction โ€” functioning as a plastic manufacturers email extractor and plastic manufacturers contact finder โ€” delivering structured data in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Many use it as a plastic manufacturers lead finder to deliver ongoing prospect lists and enrichment to clients. *** #### ๐Ÿง‘โ€๐Ÿ’ป Support & Custom Solutions Have a question, feature request, or need a custom build? Email: scrapermindapi@gmail.com We can help with: - Custom input/output fields or formats - Niche-specific adaptations (e.g., only injection molders or recyclers) - Bulk or enterprise run support and proxy strategy - CRM and automation integrations *** Built for industrial sales, procurement, and marketing teams who need accurate plastic manufacturers leads at scale โ€” 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": "Plastic Manufacturers", "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": "Plastic Manufacturers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/plastic-manufacturers-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "Plastic Manufacturers", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/plastic-manufacturers-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Plastic Manufacturers", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/plastic-manufacturers-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/plastic-manufacturers-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Plastic Manufacturers Email Scraper", "description": "Plastic manufacturers email scraper to extract verified emails from plastic manufacturing companies, factories, and industry directories ๐Ÿ“ง๐Ÿญ Perfect for B2B outreach, supplier partnerships, and manufacturing lead generation.", "version": "1.0", "x-build-id": "Vjk55gJyKr8huo7pN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~plastic-manufacturers-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-plastic-manufacturers-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~plastic-manufacturers-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-plastic-manufacturers-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~plastic-manufacturers-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-plastic-manufacturers-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": "Plastic Manufacturers" }, "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 } } } } } } } } } } ```