# Mortgage Broker Email Scraper (`contacts-api/mortgage-broker-email-scraper`) Actor Mortgage broker email scraper to extract verified broker emails from mortgage companies, lending firms, and financial service directories ๐Ÿ“ง๐Ÿ  Perfect for B2B outreach, partnerships, and mortgage industry lead generation. - **URL**: https://apify.com/contacts-api/mortgage-broker-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Real estate - **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 ### ๐Ÿ  Mortgage Broker Email Scraper โ€” Find Verified Leads in Minutes > The fastest way to build a targeted mortgage broker list. This actor searches Google Maps for mortgage brokers across your chosen locations, crawls their websites, and extracts verified mortgage broker email addresses, phone numbers, and social media profiles โ€” all in one clean, export-ready dataset. --- #### ๐Ÿš€ Quick Start 1. Enter your search term โ€” e.g., "Mortgage Broker" 2. Add one or more target locations โ€” 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. --- #### ๐Ÿ’ก What Is the Mortgage Broker Email Scraper? The Mortgage Broker Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Mortgage and lending sales teams - Real estate marketing agencies - B2B outreach professionals - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data โ€” producing an accurate, deduplicated mortgage broker list ready for immediate use. Whether you need it as a mortgage broker email finder, a mortgage broker lead scraper, a mortgage broker contact scraper, or a mortgage broker data scraper โ€” this actor covers all four in a single automated run. It works as a mortgage broker email extractor for emails, while doubling as a mortgage broker contact finder for phones and social links. --- #### ๐Ÿ“ฆ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice 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 mortgage broker email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, 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": "Mortgage Broker", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Mortgage Broker", "googleMapsLocation": [ "New York", "Chicago, Illinois", "Dallas, Texas" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | โœ… Yes | Business type to search โ€” e.g., "Mortgage Broker", "loan officer", "mortgage advisor" | | `googleMapsLocation` | Array | โœ… Yes | One or more locations โ€” e.g., \["New York", "San Diego, California"] | | `maxBusinesses` | Number | โŒ No | Max businesses with emails to return (1โ€“1,000). The actor stops when this target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | โŒ No | If true, applies the cap per location. If false, it's a combined total | | `proxyConfiguration` | Object | โŒ No | Proxy settings. Strongly recommended for large runs | *** #### ๐Ÿ“ค Sample Output ```json [ { "name": "PrimeRate Mortgage Group", "website": "https://www.primeratemortgagegroup.com", "phone": "+1 212-555-0184", "full_address": "445 Madison Ave, New York, NY 10022, United States", "city": "New York", "state": "NY", "zip": "10022", "country_code": "US", "scraped_emails": [ "info@primeratemortgagegroup.com", "loans@primeratemortgagegroup.com" ], "scraped_phones": ["+1 212-555-0184", "+1 212-555-0197"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/primeratemortgagegroup", "facebook:https://www.facebook.com/primeratemortgagegroup" ], "emails_found": 2, "pages_scraped": 17, "avg_rating": 4.7, "total_reviews": 86, "lat": 40.7587, "long": -73.9745, "place_id": "ChIJ9-EXAMPLEID", "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 business listings (name, address, phone, website) Step 3 โ†’ Visit each website and crawl key pages (Home, Contact, About, Fees, etc.) Step 4 โ†’ Extract public emails, phone numbers, and social media links Step 5 โ†’ Deduplicate and normalize all contact data Step 6 โ†’ Return structured results ready for export or API consumption ``` The actor is built to work as both a Mortgage Broker finder (discovery) and a mortgage broker email list scraper (extraction) in a single automated pipeline. If you need a reliable mortgage broker email scraper to scale prospecting, this is it. *** #### โœจ Key Features ##### ๐ŸŽฏ Precise Location Targeting Enter any city, state, or region. The actor pinpoints local firms and independent advisors โ€” delivering hyper-local mortgage broker leads. ##### ๐Ÿ” Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footer sections to surface every available public mortgage broker email and phone number. ##### ๐Ÿงญ Flexible Search Terms Target "Mortgage Broker", "loan officer", "mortgage advisor", or niche varieties (e.g., "FHA mortgage specialist") to tailor your mortgage broker list. ##### ๐Ÿงน Smart De-Duplication Automatically removes duplicate emails per domain so your list stays clean and accurate โ€” no messy cleanup required after export. ##### ๐Ÿ“Š Structured, CRM-Ready Output All results are normalized with consistent field names. Drop them straight into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool without reformatting. Perfect for a mortgage broker data scraper workflow. ##### ๐Ÿ›ก๏ธ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks โ€” ideal for agency-level mortgage broker leads campaigns. ##### โฑ๏ธ Stop at Your Target The actor halts as soon as your `maxBusinesses` limit is reached โ€” no wasted compute, no overage. Great for controlling spend while running a mortgage broker contact scraper. ##### ๐Ÿ”„ Schedulable & Repeatable Set it to run daily, weekly, or monthly to continuously grow and refresh your mortgage broker list. *** #### ๐ŸŽฏ Use Cases ##### ๐Ÿ’ผ B2B Outreach & Sales Build pitch lists of brokers and loan officers. Use this as your mortgage broker lead finder and mortgage broker email extractor to fuel compliant cold email sequences. ##### ๐Ÿ  Real Estate Partnerships Identify brokers for referral partnerships with realtors, builders, and title companies. The mortgage broker contact finder surfaces the right local partners fast. ##### ๐Ÿ“ฃ Local & Regional Marketing Create geo-targeted campaigns with verified mortgage broker email and phone numbers pulled directly from broker websites. ##### ๐Ÿงฉ CRM Enrichment & Data Hygiene Enrich existing records with missing emails, phones, and social links using the mortgage broker email finder and mortgage broker lead scraper modes. ##### ๐Ÿงช Market Research & Audits Compile contact data for competitive analyses and market studies. A dependable mortgage broker data scraper helps quantify market coverage by metro or state. ##### ๐Ÿข Agency Client Delivery Run repeatable weekly scrapes and deliver fresh mortgage broker leads to clients on a predictable schedule. *** #### ๐Ÿ“ˆ How Many Results Can You Get? Scale from a small prospect list to a massive regional database โ€” results depend on: - Number of locations added - Search term breadth (narrow vs. broad niche) - 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 multiple times across different regions to continuously grow your mortgage broker list without hitting any hard platform limits. *** #### 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 | Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that accepts CSV/JSON imports. *** #### 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 "Mortgage Broker Email Scraper" in the Apify Store and click Try for free. Step 3 โ€” Set Your Search Term\ Enter "Mortgage Broker" or a niche variant like "loan officer", "mortgage advisor", or "FHA mortgage specialist". Step 4 โ€” Add Target Locations\ Enter one or more city/state combos โ€” e.g., "New York", "Phoenix, Arizona". 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: The total across all locations combined - 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 Mortgage Broker 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 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. *** #### โ“ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts emails that are publicly visible on business websites โ€” shared inboxes and general inquiry addresses for firms and brokers. It functions as a mortgage broker email extractor and mortgage broker contact scraper strictly for public data. 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. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your mortgage broker leads accurate and ready to use. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify's built-in scheduler to run weekly or monthly and keep your mortgage broker list fresh. Q: What niches does the search term support?\ A: Any Google Maps searchable term โ€” try "mortgage broker", "loan officer", "mortgage advisor", or "mortgage lender". Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and ensure stability. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook. Q: How is this different from manual searching?\ A: Manual search is slow and inconsistent. This mortgage broker email scraper automates discovery and contact extraction end-to-end in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh mortgage broker leads on a recurring basis. Q: Is this a mortgage broker lead finder or an email scraper?\ A: Both. It serves as a mortgage broker lead finder for discovery and a mortgage broker email finder for extraction in a unified pipeline. *** #### ๐Ÿง‘โ€๐Ÿ’ป Support & Custom Solutions Have a question, feature request, or need a custom build? We can help tailor your mortgage broker lead scraper workflow, from input/output customization to enterprise-scale runs and CRM integrations. 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": "Mortgage Broker", "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": "Mortgage Broker", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/mortgage-broker-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": "Mortgage Broker", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/mortgage-broker-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": "Mortgage Broker", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/mortgage-broker-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/mortgage-broker-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mortgage Broker Email Scraper", "description": "Mortgage broker email scraper to extract verified broker emails from mortgage companies, lending firms, and financial service directories ๐Ÿ“ง๐Ÿ  Perfect for B2B outreach, partnerships, and mortgage industry lead generation.", "version": "1.0", "x-build-id": "REjnZgJTqZxfwkqg2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~mortgage-broker-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-mortgage-broker-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~mortgage-broker-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-mortgage-broker-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~mortgage-broker-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-mortgage-broker-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": "Mortgage Broker" }, "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 } } } } } } } } } } ```