# Textile Mill Manufacturing Industry Email Scraper (`contacts-api/textile-mill-manufacturing-industry-email-scraper`) Actor Textile mill manufacturing industry email scraper to extract verified emails from textile mills, fabric manufacturers, and industry directories ๐Ÿ“ง๐Ÿงต Perfect for B2B outreach, supplier partnerships, and textile industry lead generation. - **URL**: https://apify.com/contacts-api/textile-mill-manufacturing-industry-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Other - **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 ### ๐Ÿงต Textile Mill Manufacturing Industry Email Scraper โ€” Build Verified B2B Lists At Scale > The fastest way to discover and validate contact data for textile mills and manufacturing facilities. This textile mill manufacturing industry email scraper searches Google Maps for relevant businesses across your target regions, crawls their websites, and extracts public emails, phones, and social profiles โ€” into one clean, export-ready dataset. --- #### ๐Ÿš€ Quick Start 1. Enter your search term โ€” e.g., "Textile Mill Manufacturing Industry", "spinning mills", "textile manufacturers" 2. Add one or more target locations โ€” e.g., "North Carolina", "Mumbai", "Istanbul" 3. Set the max number of businesses with emails you want 4. Hit Run and receive qualified textile mill manufacturing industry leads in minutes No coding required. Export to CSV, JSON, or Excel instantly for outreach or analysis. --- #### ๐Ÿ’ก What Is The Textile Mill Manufacturing Industry Email Scraper? The Textile Mill Manufacturing Industry Email Scraper is a purpose-built tool for B2B lead generation, sourcing, and vendor research across the textile, apparel, and industrial supply chain. Ideal for: - Manufacturing sales and channel teams - Machinery, chemicals, and logistics vendors - Sourcing and procurement specialists - B2B marketers and data teams It combines Google Maps discovery with deep website crawling to extract publicly available contact data (emails, phones, social links). Whether you need a textile mill manufacturing industry lead finder for prospecting, a textile mill manufacturing industry email extractor for contact harvesting, or a textile mill manufacturing industry contact scraper for enrichment โ€” this actor handles discovery, extraction, and normalization in one automated flow. Use it as a textile mill manufacturing industry lead scraper to scale regional campaigns or as a textile mill manufacturing industry email finder to assemble a precise, deduplicated textile mill manufacturing industry list ready for outreach. --- #### ๐Ÿ“ฆ What Data Does It Extract? - Business Name โ€” Official company or facility name - Website โ€” Homepage or primary domain - Phone โ€” Primary phone from listing or website - Full Address โ€” Street, city, state, postal code, country - City / State / ZIP โ€” Parsed location components - Country Code โ€” ISO country code when available - Emails โ€” All public textile mill manufacturing industry email addresses found during crawl - Additional Phones โ€” Extra phone numbers discovered - Social Media Links โ€” LinkedIn, Facebook, Instagram, X/Twitter, etc. - Email Count โ€” Unique emails found per business - Pages Scraped โ€” Number of pages crawled on the domain - Rating โ€” Average Google Maps star rating (if available) - Reviews โ€” Total Google reviews - Latitude / Longitude โ€” Geo-coordinates - Place ID โ€” Google Maps place identifier - Scrape Status โ€” Per-record status: success, partial, or error These fields are delivered in a structured dataset suitable for CRMs and analytics โ€” perfect for building textile mill manufacturing industry leads and a robust textile mill manufacturing industry list without manual effort. --- #### โš™๏ธ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Textile Mill Manufacturing Industry", "googleMapsLocation": ["North Carolina"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Textile Mill Manufacturing Industry", "googleMapsLocation": [ "North Carolina", "South Carolina", "Gujarat, India" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters - googleMapsSearchTerm (String, required): Business niche to search โ€” e.g., "Textile Mill Manufacturing Industry", "weaving mills", "yarn producers" - googleMapsLocation (Array, required): One or more locations โ€” e.g., \["North Carolina", "Istanbul", "Ho Chi Minh City"] - maxBusinesses (Number, required): Max businesses with emails to return (1โ€“1,000). Stops when target is reached - scrapeMaxBusinessesPerLocation (Boolean, optional): If true, applies cap per location; if false, cap is across all locations combined - proxyConfiguration (Object, optional): Proxy settings. Recommended for scale and reliability *** #### ๐Ÿ“ค Sample Output ```json [ { "name": "Carolina Spinning & Weaving Co.", "website": "https://www.carolinaspinweave.com", "phone": "+1 704-555-0188", "full_address": "245 Mill Park Rd, Charlotte, NC 28202, United States", "city": "Charlotte", "state": "NC", "zip": "28202", "country_code": "US", "scraped_emails": [ "sales@carolinaspinweave.com", "info@carolinaspinweave.com" ], "scraped_phones": ["+1 704-555-0188", "+1 704-555-0142"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/carolina-spinning", "facebook:https://www.facebook.com/carolinaspinweave" ], "emails_found": 2, "pages_scraped": 11, "avg_rating": 4.6, "total_reviews": 56, "lat": 35.2277, "long": -80.8431, "place_id": "ChIJ-EXAMPLE-ID", "scrape_status": "success" } ] ``` *** #### ๐Ÿ”ง How It Works โ€” Under The Hood Step 1 โ†’ Discover businesses on Google Maps by your search term + locations\ Step 2 โ†’ Collect listing details (name, address, phone, website)\ Step 3 โ†’ Visit each website and crawl key pages (Home, Contact, About, Footer)\ Step 4 โ†’ Extract public emails, phone numbers, and social media links\ Step 5 โ†’ Deduplicate and normalize all contact data\ Step 6 โ†’ Output structured, export-ready records This pipeline functions as a textile mill manufacturing industry data scraper and a textile mill manufacturing industry contact finder in one. When you need a hands-off textile mill manufacturing industry lead scraper, the textile mill manufacturing industry email scraper automates discovery through to clean output. *** #### โœจ Key Features ##### ๐ŸŽฏ Precise Location Targeting Pinpoint mills and manufacturers by city, state, or region. Build localized textile mill manufacturing industry leads with a few clicks. ##### ๐Ÿ” Deep Website Crawl Goes beyond map listings to crawl homepages, contact pages, and footers, acting as a textile mill manufacturing industry email extractor that uncovers every public email and phone. ##### ๐ŸŒŽ Multi-Region Scaling Search across multiple countries and industrial hubs at once. Great for assembling a cross-border textile mill manufacturing industry list for sourcing or sales. ##### ๐Ÿงน Smart De-Duplication Automatically removes duplicate emails per domain and normalizes formats so your textile mill manufacturing industry email data is ready for import. ##### ๐Ÿ“Š CRM-Ready Output Uniform field names and clean arrays of emails, phones, and social links โ€” optimized for CRMs, data warehouses, and outreach platforms. ##### ๐Ÿ›ก๏ธ Proxy-Ready For Reliability Integrated proxy support minimizes rate-limits and blocks, enabling high-volume runs and stable performance as a textile mill manufacturing industry data scraper. ##### โฑ๏ธ Cap At Your Target Stop as soon as maxBusinesses is reached โ€” efficient and budget-friendly for recurring textile mill manufacturing industry lead finder campaigns. ##### ๐Ÿ”„ Repeatable & Schedulable Schedule weekly or monthly runs to refresh your textile mill manufacturing industry list and keep your textile mill manufacturing industry leads current. *** #### ๐ŸŽฏ Use Cases ##### ๐Ÿ’ผ B2B Sales Prospecting Find yarn producers, weaving mills, dyeing and finishing plants. Use it as a textile mill manufacturing industry lead finder to source high-fit accounts, or as a textile mill manufacturing industry contact scraper for contact enrichment. ##### ๐Ÿงช Supplier & Vendor Sourcing Identify mills with specific capabilities and build a textile mill manufacturing industry list for RFPs, audits, or vendor onboarding. ##### ๐Ÿšš Industrial Solutions & Services Machinery, spare parts, chemicals, logistics, and automation providers can run the textile mill manufacturing industry email extractor to reach decision-makers. ##### ๐Ÿ“ฃ Marketing & Outreach Fuel campaigns with verified textile mill manufacturing industry email contacts. Deploy as a textile mill manufacturing industry email finder to populate multichannel sequences. ##### ๐Ÿ—ƒ๏ธ Data Enrichment & Research Use as a textile mill manufacturing industry data scraper to complete missing fields in your CRM, and as a textile mill manufacturing industry contact finder for multi-source validation. ##### ๐Ÿค Partnerships & Distribution Locate regional partners and distributors. The textile mill manufacturing industry lead scraper uncovers prospects across diverse geographies fast. *** #### ๐Ÿ“ˆ How Many Results Can You Get? Output depends on: - Number and breadth of locations - Specificity of your search term (niche vs. broad) - Website coverage and the visibility of textile mill manufacturing industry email addresses - maxBusinesses threshold and per-location vs. combined mode - Proxy setup and run time Typical Output Ranges - Small (1โ€“3 cities): 20โ€“100 businesses with emails - Medium (5โ€“15 cities): 200โ€“600 businesses with emails - Large (20+ cities/states): 800โ€“1,000+ per run Run multiple campaigns across regions to build a comprehensive textile mill manufacturing industry list and grow predictable textile mill manufacturing industry leads over time. *** #### ๐Ÿ”Œ Integrations & Export Options Once your run completes, you can: - JSON โ€” Full structured data download - CSV / Excel โ€” Spreadsheet-ready export - Apify API โ€” Stream results into your workflows - Zapier / Make โ€” Trigger downstream automations - Webhooks โ€” Push data to your CRM or data lake on completion Plug into HubSpot, Salesforce, Apollo, Instantly, or any platform to activate textile mill manufacturing industry email outreach and manage textile mill manufacturing industry leads at scale. *** #### ๐Ÿ› ๏ธ Step-By-Step Usage Guide Step 1 โ€” Log In\ Create a free account or sign in at apify.com. Step 2 โ€” Open The Actor\ Search for "Textile Mill Manufacturing Industry Email Scraper" in the Apify Store and click Try for free. Step 3 โ€” Set Your Search Term\ Enter "Textile Mill Manufacturing Industry" or variants like "spinning mills", "weaving factories", "yarn manufacturers". Step 4 โ€” Add Target Locations\ Add one or more regions โ€” e.g., "North Carolina", "Istanbul", "Dhaka", "Gujarat". Step 5 โ€” Set Your Limit\ Choose how many businesses with emails you want โ€” start small, then scale. Step 6 โ€” Choose Capping Strategy - Combined cap: Single total across all locations - Per-location cap: Applies your limit independently per location Step 7 โ€” Enable Proxies\ Turn on Apify Proxy for resilient, high-volume crawling. Step 8 โ€” Run ๐Ÿš€\ Click Start and let the Textile Mill Manufacturing Industry Email Scraper do the work. Step 9 โ€” Export\ Download CSV/JSON/Excel or consume via API to power your textile mill manufacturing industry lead finder workflows. *** #### โš–๏ธ Legal & Compliance This tool collects only publicly available business contact information. It is not intended to access private data or circumvent access controls. Best practices: - Use only publicly visible contact details - Do not bypass authentication walls or paywalls - Respect website robots.txt and Terms of Service - Include opt-out/unsubscribe in outreach - Follow local and international communication laws Key regulations to be aware of: - GDPR (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This solution is built for ethical business prospecting. You are responsible for compliant use when building a textile mill manufacturing industry list or contacting textile mill manufacturing industry leads. *** #### โ“ Frequently Asked Questions Q: What sources does it use?\ A: It discovers businesses via Google Maps and crawls their websites to extract textile mill manufacturing industry email, phone, and social links. Q: Does it find direct decision-maker emails?\ A: It gathers publicly visible emails. Often these include sales, info, admin, and departmental inboxes. Use as a textile mill manufacturing industry contact scraper to enrich records, then layer manual research if you require named contacts. Q: Can I search multiple cities or countries at once?\ A: Yes. Provide as many locations as needed. Use per-location capping for even geographic distribution of textile mill manufacturing industry leads. Q: How does de-duplication work?\ A: Emails are deduplicated per domain. Results are normalized for clean imports into your CRM or sequences. Q: Is a proxy required?\ A: Not for small runs. For 200+ businesses or multi-country campaigns, enable Apify Proxy for stability as a textile mill manufacturing industry data scraper. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also access results via API or webhooks. Q: Can this replace manual research?\ A: It automates discovery and extraction at scale. Use it as a textile mill manufacturing industry email extractor to accelerate your pipeline, then augment with targeted research if needed. Q: Is it suitable for agencies?\ A: Yes. Agencies use it as a textile mill manufacturing industry lead scraper and textile mill manufacturing industry email finder to deliver recurring datasets to clients. *** For any help or custom solution, contact via this mail: scrapermindapi@gmail.com *** Built for sourcing teams, industrial vendors, and B2B marketers who need a reliable textile mill manufacturing industry email scraper to generate high-quality textile mill manufacturing industry leads fast. # 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": "Textile Mill Manufacturing Industry", "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": "Textile Mill Manufacturing Industry", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/textile-mill-manufacturing-industry-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": "Textile Mill Manufacturing Industry", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/textile-mill-manufacturing-industry-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": "Textile Mill Manufacturing Industry", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/textile-mill-manufacturing-industry-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/textile-mill-manufacturing-industry-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Textile Mill Manufacturing Industry Email Scraper", "description": "Textile mill manufacturing industry email scraper to extract verified emails from textile mills, fabric manufacturers, and industry directories ๐Ÿ“ง๐Ÿงต Perfect for B2B outreach, supplier partnerships, and textile industry lead generation.", "version": "1.0", "x-build-id": "IrWqiPnHVhhTLohaM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~textile-mill-manufacturing-industry-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-textile-mill-manufacturing-industry-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~textile-mill-manufacturing-industry-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-textile-mill-manufacturing-industry-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~textile-mill-manufacturing-industry-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-textile-mill-manufacturing-industry-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": "Textile Mill Manufacturing Industry" }, "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 } } } } } } } } } } ```