# Divorce Attorney Email Scraper (`contacts-api/divorce-attorney-email-scraper`) Actor Divorce attorney email scraper to extract verified attorney emails from family law firms, legal directories, and law practice websites 📧⚖️ Perfect for legal outreach, partnerships, and family law lead generation. - **URL**: https://apify.com/contacts-api/divorce-attorney-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 ### ⚖️ Divorce Attorney Email Scraper — Find Verified Leads in Minutes > The fastest way to build a targeted divorce attorney email list. This actor searches Google Maps for divorce attorneys and family law firms across any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles — all in one clean, export-ready dataset for consistent divorce attorney leads. --- #### 🚀 Quick Start 1. Enter your search term — e.g., "Divorce Attorney" or "Family Law Attorney" 2. Add one or more target locations — e.g., "New York", "Los Angeles" 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. --- #### 💡 What Is The Divorce Attorney Email Scraper? The Divorce Attorney Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Legal marketing teams and agencies - Solo practitioners and small firms - B2B outreach and legal tech vendors - Researchers and analysts in the legal sector It combines Google Maps firm discovery with deep website crawling to extract publicly available contact data — producing an accurate, deduplicated divorce attorney list ready for immediate use. Whether you need it as a divorce attorney lead finder, a divorce attorney lead scraper, a divorce attorney contact finder, or a divorce attorney email finder — this actor covers all four in a single automated run. It also works as a divorce attorney email extractor and a divorce attorney contact scraper for any city, state, or region. --- #### 📦 What Data Does It Extract? | Field | Description | |---|---| | Business Name | Law firm or attorney 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 divorce attorney email addresses found on site 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 | --- #### ⚙️ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Divorce Attorney", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Divorce Attorney", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | ✅ Yes | Business type to search — e.g., "Divorce Attorney", "family law attorney" | | `googleMapsLocation` | Array | ✅ Yes | One or more locations — e.g., \["New York", "Chicago, Illinois"] | | `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 across all locations | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs | *** #### 📤 Sample Output ```json [ { "name": "Harrington & Cole Family Law", "website": "https://www.harringtoncolelaw.com", "phone": "+1 212-555-0167", "full_address": "245 Madison Ave, New York, NY 10016, United States", "city": "New York", "state": "NY", "zip": "10016", "country_code": "US", "scraped_emails": [ "info@harringtoncolelaw.com", "intake@harringtoncolelaw.com" ], "scraped_phones": ["+1 212-555-0167", "+1 212-555-0142"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/harrington-cole-law", "facebook:https://www.facebook.com/harringtoncolelaw" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 89, "lat": 40.7515, "long": -73.9799, "place_id": "ChIJ-EXAMPLEPLACEID", "scrape_status": "success" }, { "name": "Riverside Divorce & Mediation", "website": "https://www.riversidedivorcelaw.com", "phone": "+1 213-555-0112", "full_address": "601 W 5th St, Los Angeles, CA 90071, United States", "city": "Los Angeles", "state": "CA", "zip": "90071", "country_code": "US", "scraped_emails": [ "contact@riversidedivorcelaw.com" ], "scraped_phones": ["+1 213-555-0112"], "scraped_social_media": [ "twitter:https://twitter.com/riverside_law", "instagram:https://www.instagram.com/riverside_law" ], "emails_found": 1, "pages_scraped": 8, "avg_rating": 4.5, "total_reviews": 52, "lat": 34.0515, "long": -118.2551, "place_id": "ChIJ-EXAMPLELAID", "scrape_status": "success" } ] ``` *** #### 🔧 How It Works — Under The Hood ``` Step 1 → Search Google Maps using your term + location Step 2 → Collect firm listings (name, address, phone, website) Step 3 → Visit each website and crawl key pages (Home, Contact, About, Attorneys, Footer) Step 4 → Extract public emails, phone numbers, and social media links Step 5 → Deduplicate and normalize all contact data Step 6 → Return structured results ready for export or API consumption ``` Built to function as a Divorce Attorney Email Scraper for discovery and extraction in one pass, this workflow doubles as a divorce attorney email extractor and a reliable divorce attorney data scraper for ongoing campaigns. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Enter any city, state, or region. The actor pinpoints local firms and practices to deliver hyper‑local divorce attorney leads aligned to your target markets. ##### 🔍 Deep Website Crawl For Complete Contacts Goes beyond the listing. Crawls homepages, contact pages, attorney bios, and footer sections to surface every available public divorce attorney email and phone number — acting as a robust divorce attorney contact scraper for maximum coverage. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per‑location cap — perfect for building a large, multi‑market divorce attorney list with this dependable divorce attorney lead scraper. ##### 🧹 Smart De‑Duplication Automatically removes duplicate emails per domain so your list stays clean and accurate — no manual cleanup required and fewer bounce risks in outreach. ##### 📊 Structured, CRM‑Ready Output Normalized fields and consistent formatting let you drop results directly into HubSpot, Salesforce, Clio Grow, Law Ruler, Apollo, or any outreach stack without reformatting. ##### 🛡️ Proxy‑Ready For Reliability Built‑in proxy support enables stable, large‑scale runs without rate‑limiting or IP blocks — ideal for agency‑level campaigns and ongoing divorce attorney leads generation. ##### ⏱️ Stop Exactly At Your Target The actor halts as soon as your maxBusinesses limit is reached — no wasted compute, no overage, predictable costs. ##### 🔄 Schedulable & Repeatable Run it daily, weekly, or monthly to grow and refresh your divorce attorney list automatically with a hands‑off divorce attorney lead finder routine. *** #### 🎯 Use Cases ##### 💼 B2B Outreach & Sales Build targeted pitch lists for family law firms and solo practitioners. Use this as your divorce attorney lead finder and divorce attorney email finder to fuel compliant outreach. ##### 📣 Legal Marketing & SEO Agencies Prospect efficiently across multiple metros. The actor operates as a divorce attorney contact finder and divorce attorney lead scraper to power campaign pipelines. ##### 🧑‍⚖️ Practice Development & Partnerships Identify complementary partners (mediators, counselors, financial planners) and connect using verified divorce attorney email contacts from firm websites. ##### 🗺️ Local & Regional Expansion Launch geo‑targeted campaigns fast. Build localized divorce attorney leads across cities or states in one run. ##### 🗃️ CRM Enrichment & Data Hygiene Enrich existing records with missing emails, phones, and social profiles using the divorce attorney email extractor and keep your CRM clean. ##### 🔁 Competitive Research & Benchmarking Track market density, ratings, and reviews to understand competitive positioning across regions using the divorce attorney data scraper output. ##### 🏢 Agency Client Delivery Run weekly scrapes and deliver fresh divorce attorney list updates to clients on a predictable schedule with clear KPIs. *** #### 📈 How Many Results Can You Get? Scale from a small prospect list to a multi‑region dataset — results depend on: - Number of locations added - Search term breadth (e.g., “Divorce Attorney” vs. “Collaborative Divorce Attorney”) - Website density and the visibility of contact details per market - 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 times across different regions to continuously grow your divorce attorney list without hitting platform limits. For sustained prospecting, schedule recurring runs and treat the actor as a rolling divorce attorney data scraper. *** #### 🔌 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 divorce attorney leads are found | | Webhooks | Push results to your CRM or pipeline on run completion | Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, Clio Grow, Lawmatics, or any system that accepts CSV/JSON imports from a divorce attorney contact scraper. *** #### 🛠️ Step‑By‑Step Usage Guide Step 1 — Log In To Apify\ Create a free account or sign in at apify.com. Step 2 — Open The Actor\ Search for "Divorce Attorney Email Scraper" in the Apify Store and click Try for free. Step 3 — Set Your Search Term\ Enter "Divorce Attorney" or a variant like "family law attorney", "child custody lawyer", or "divorce mediation attorney". Step 4 — Add Target Locations\ Enter one or more city/state combos — e.g., "New York", "Los Angeles, California", "Miami, Florida". Step 5 — Set Your Limit\ Choose how many businesses with emails you want — 20 for a quick test, up to 1,000 for a full campaign. Step 6 — Choose Scaling Strategy - Combined cap: The total across all locations combined - Per‑location cap: Applies your limit independently to each city Step 7 — Enable Proxies\ Turn on Apify Proxy for stable, uninterrupted crawling at scale. Step 8 — Run 🚀\ Click Start and let the Divorce Attorney Email Scraper do the work as your hands‑free divorce attorney contact finder. Step 9 — Export\ Download as JSON, CSV, or Excel — or pull via API straight into your stack. *** #### ⚖️ Legal & Compliance This actor collects only publicly available business contact information — including divorce attorney email addresses and phones 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: | 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 with any divorce attorney data scraper. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts divorce attorney email addresses that are publicly visible on firm websites — intake inboxes, admin contacts, or general inquiries. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed. Use per‑location capping for even geographic distribution of divorce attorney leads. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your divorce attorney list accurate and clean. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your pipeline of divorce attorney leads fresh. Q: Is this a divorce attorney email finder or a lead scraper?\ A: It’s both. The actor works as a divorce attorney email finder, a divorce attorney lead finder, and a divorce attorney lead scraper — discovery and extraction in one. Q: What if a firm has no website listed?\ A: The actor prioritizes listings with websites. If none is available, it records listing details and moves on to maximize yield from reachable firms. Q: Do I need proxies?\ A: Not for small runs, but for 200+ businesses or multi‑city campaigns, proxies are recommended to avoid rate limits and ensure the divorce attorney contact scraper runs smoothly. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or a webhook. Q: How is this different from manual Google searching?\ A: Manual search is slow and doesn’t extract emails at scale. This automation acts as a reliable divorce attorney email extractor, saving hours and improving data completeness. Q: Can agencies white‑label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh divorce attorney leads on a recurring basis. *** #### 🧑‍💻 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., mediation‑only, collaborative divorce) - Bulk or enterprise run support - CRM and workflow integrations Built for legal marketers, agencies, and outreach teams who need accurate divorce attorney leads at scale — 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": "Divorce Attorney", "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": "Divorce Attorney", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/divorce-attorney-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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": "Divorce Attorney", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/divorce-attorney-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Divorce Attorney", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/divorce-attorney-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/divorce-attorney-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Divorce Attorney Email Scraper", "description": "Divorce attorney email scraper to extract verified attorney emails from family law firms, legal directories, and law practice websites 📧⚖️ Perfect for legal outreach, partnerships, and family law lead generation.", "version": "1.0", "x-build-id": "eI7FS45Bgbh8DfK9J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~divorce-attorney-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-divorce-attorney-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~divorce-attorney-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-divorce-attorney-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~divorce-attorney-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-divorce-attorney-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": "Divorce Attorney" }, "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 } } } } } } } } } } ```