# Insurance Company Email Scraper (`contacts-api/insurance-company-email-scraper`) Actor Insurance company email scraper to extract verified emails from insurance providers, agencies, brokers, and financial service companies πŸ“§πŸ›‘οΈ Perfect for B2B outreach, partnerships, and insurance industry lead generation. - **URL**: https://apify.com/contacts-api/insurance-company-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 1 total users, 0 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 ### πŸ›‘οΈ Insurance Company Email Scraper β€” Build Verified Contact Lists in Minutes > The fastest way to build a targeted insurance company list. This actor searches Google Maps for insurance organizations across any location, crawls their websites, and extracts verified insurance company email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready dataset to fuel your insurance company leads. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Insurance Company" or "Auto Insurance" 2. Add one or more target locations β€” e.g., "New York", "Miami, Florida" 3. Set the maximum number of businesses with emails to collect 4. Click Run and get your insurance company list in minutes No code required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is the Insurance Company Email Scraper? The Insurance Company Email Scraper is a purpose-built lead generation and contact discovery tool that blends Google Maps discovery with deep website crawling to extract publicly available contact data from insurance organizations of any kind (P&C, life, health, commercial, specialty lines). Ideal for: - Insurtech vendors and SaaS providers selling into carriers and agencies - Marketing and sales teams targeting insurers, MGAs, and brokers - Researchers and analysts building an insurance company list by region - Recruiters and staffing agencies focused on the insurance sector Use it as an insurance company lead finder to surface new prospects, an insurance company email finder to collect valid inboxes, or an insurance company lead scraper to automate discovery at scale. It also performs as an insurance company email extractor and insurance company contact scraper by crawling public pages (home, contact, about, team) to capture key contact channels. Whether you call it an insurance company contact finder or an insurance company data scraper, this single workflow gives you structured results ready for outreach. --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Company or agency name from Google Maps | | Website | Official website URL | | Phone | Primary phone from the listing or website | | Full Address | Complete postal address | | City / State / ZIP | Parsed location components | | Country Code | ISO country code where available | | Emails | All public insurance company email addresses discovered on site | | Additional Phones | Extra phone numbers found during the crawl | | Social Media Links | Facebook, LinkedIn, Twitter/X, Instagram, etc. | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Google Maps star rating (if present) | | Reviews | Count of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | This output powers insurance company leads pipelines and lets you quickly build or enrich an insurance company list. --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Insurance Company", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Insurance Company", "googleMapsLocation": [ "New York", "Miami, Florida", "Dallas, Texas" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | βœ… Yes | Business type to search β€” e.g., "Insurance Company", "Health Insurance", "Auto Insurance Brokers" | | `googleMapsLocation` | Array | βœ… Yes | One or more locations β€” e.g., \["New York", "Miami, Florida"] | | `maxBusinesses` | Number | βœ… Yes | Maximum businesses with emails to return (1–1,000). The run stops once this target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location; if false, uses a combined total across all locations | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for larger campaigns to avoid blocking | *** #### πŸ“€ Sample Output ```json [ { "name": "HarborShield Insurance Group", "website": "https://www.harborshieldinsurance.com", "phone": "+1 212-555-0142", "full_address": "200 Liberty St, New York, NY 10281, United States", "city": "New York", "state": "NY", "zip": "10281", "country_code": "US", "scraped_emails": [ "info@harborshieldinsurance.com", "claims@harborshieldinsurance.com" ], "scraped_phones": ["+1 212-555-0142", "+1 212-555-0198"], "scraped_social_media": [ "linkedin:https://www.linkedin.com/company/harborshieldinsurance", "twitter:https://twitter.com/harborshield" ], "emails_found": 2, "pages_scraped": 18, "avg_rating": 4.5, "total_reviews": 86, "lat": 40.7114, "long": -74.0153, "place_id": "ChIJ3-EXAMPLEID", "scrape_status": "success" }, { "name": "MetroSure Auto & Home", "website": "https://www.metrosure.com", "phone": "+1 305-555-0177", "full_address": "1450 Brickell Ave, Miami, FL 33131, United States", "city": "Miami", "state": "FL", "zip": "33131", "country_code": "US", "scraped_emails": [ "sales@metrosure.com", "support@metrosure.com" ], "scraped_phones": ["+1 305-555-0177"], "scraped_social_media": [ "facebook:https://facebook.com/metrosure", "instagram:https://instagram.com/metrosure_insurance" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.2, "total_reviews": 54, "lat": 25.7591, "long": -80.1925, "place_id": "ChIJ9-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under the Hood ``` Step 1 β†’ Query Google Maps with your search term + chosen locations Step 2 β†’ Collect business listing data (name, phone, address, website, rating) Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, Team, Footer) Step 4 β†’ Extract public emails, phone numbers, and social profile links Step 5 β†’ Deduplicate, normalize, and validate contact fields Step 6 β†’ Deliver a structured dataset for export or API consumption ``` Designed to function as both a discovery engine and a contact extractor, this workflow operates as an insurance company data scraper while doubling as an insurance company contact scraper for consistent, repeatable contact capture. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint insurers by city, state, or region. Target nationwide or niche markets to build geo-specific insurance company leads fast β€” from carriers to local agencies. ##### πŸ” Deep Website Crawl Goes beyond listings. Crawls home, contact, about, and footer sections to surface every publicly available insurance company email and phone number β€” acting as an insurance company email extractor for complete coverage. ##### 🌎 Multi-Location Scaling Run dozens of cities in one go. Choose combined or per-location caps to grow a broad insurance company list for campaigns across multiple markets. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes fields β€” delivering cleaner outputs for your CRM and outreach tools. Perfect for any insurance company email finder workflow. ##### πŸ“Š Structured, CRM-Ready Output Consistent fields and clean arrays make importing seamless into HubSpot, Salesforce, Apollo, Instantly, or any outreach stack. Use it as your insurance company contact finder or insurance company lead finder without extra cleanup. ##### πŸ›‘οΈ Proxy-Ready for Reliability Built-in proxy support stabilizes larger runs and mitigates rate limits β€” recommended for regional or national campaigns with high volume insurance company leads. ##### ⏱️ Stop Exactly at Your Target The run halts as soon as your maxBusinesses limit is reached β€” no wasted compute, clear cost control for every insurance company lead scraper campaign. ##### πŸ”„ Schedulable & Repeatable Run daily, weekly, or monthly to keep your insurance company list fresh. Automate pipelines with webhooks and integrations. *** #### 🎯 Use Cases - B2B Outreach & Sales - Build targeted pipelines of insurers, MGAs, and agencies. Use as an insurance company lead finder to fuel cold outreach and ABM programs. - Vendor & Partner Discovery - Identify potential partners or distribution channels; the insurance company contact scraper helps you reach the right teams quickly. - CRM Enrichment - Append missing emails, phones, and social links to existing accounts using this insurance company email extractor and insurance company email finder. - Market Research & Competitive Mapping - Compile an insurance company list by state or product line, then analyze coverage, size, and web presence with the insurance company data scraper. - Recruiting & Staffing - Identify firms by region and gather public HR or careers contacts with the insurance company contact finder for targeted outreach. *** #### πŸ“ˆ How Many Results Can You Get? Output varies by: - Number and breadth of locations - Niche focus (e.g., "Auto Insurance" vs. "Insurance Company") - Website coverage and email visibility - MaxBusinesses cap and per-location mode - Proxy configuration and run duration Typical Ranges: - Small (1–3 cities): 20–100 businesses with insurance company email addresses - Medium (5–15 cities): 200–600 - Large (20+ cities/states): 800–1,000+ per run Run multiple campaigns across different regions or lines of business to steadily grow your insurance company leads database. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - Download JSON, CSV, or Excel - Use the Apify API to stream results into your systems - Trigger automations via Zapier/Make - Fire webhooks to update your CRM on completion Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON imports to activate your insurance company list. *** #### πŸ› οΈ Step-by-Step Usage Guide 1. Log in to Apify\ Create a free account or sign in at apify.com. 2. Open the Actor\ Search for "Insurance Company Email Scraper" in the Apify Store and click Try for free. 3. Set Your Search Term\ Enter "Insurance Company" or a niche like "Health Insurance", "Commercial Insurance", or "Auto Insurance Agencies" to tailor insurance company leads. 4. Add Target Locations\ Provide one or more locations β€” e.g., "New York", "Chicago, Illinois", "Los Angeles, California". 5. Set Your Limit\ Choose how many businesses with emails to return β€” 20 for a quick test, up to 1,000 for full campaigns. 6. Choose Scaling Strategy - Combined cap: A single total across all locations - Per-location cap: Applies your limit independently to each location 7. Enable Proxies\ Turn on Apify Proxy for stable, large-scale runs β€” recommended for any national insurance company lead scraper workflow. 8. Run πŸš€\ Click Start and let the Insurance Company Email Scraper do the work. 9. Export\ Download CSV/JSON/Excel or connect via API/webhook to feed your stack β€” ideal for turning an insurance company email into live outreach. *** #### βš–οΈ Legal & Compliance This actor collects only publicly available business contact information β€” such as insurance company email addresses and phone numbers published on websites. Best Practices: - Use only publicly visible contact data - Do not bypass login walls or paywalls - Respect robots.txt and each website’s Terms of Service - Include an unsubscribe in all outreach - Follow applicable laws in your jurisdiction Common Regulations: - GDPR (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts insurance company email addresses that are publicly visible on business websites. Q: Can I search multiple cities or states in one run?\ A: Yes. Add as many locations as you like and choose between a combined cap or a per-location cap for balanced insurance company leads. Q: Is it just for carriers, or does it work for brokers and agencies too?\ A: It works for carriers, MGAs, TPAs, and brokerage/agency networks. Use the insurance company contact finder to target the segments you need. Q: Does it deduplicate emails and results?\ A: Yes. Emails are deduplicated per domain and normalized, so your insurance company list stays clean. Q: Is a proxy required?\ A: Not for small runs, but using proxies is strongly recommended for higher volumes to keep your insurance company lead scraper stable and avoid rate limiting. 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 buying a static list?\ A: Purchased lists go stale quickly. This insurance company email scraper builds fresh data from public sources and can be scheduled for regular updates β€” acting as your ongoing insurance company data scraper. Q: Can it find contacts if a company doesn’t list an email on their homepage?\ A: Yes. The crawl checks common subpages (Contact, About, Team, Footer). It functions as an insurance company email extractor to surface emails across multiple pages where available. Q: Can agencies white-label or resell the results?\ A: Yes. Many use it as an insurance company lead finder to deliver recurring prospect lists to clients. *** #### πŸ§‘β€πŸ’» 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 fields and transformations - Niche-specific adaptations (e.g., life, health, commercial lines) - Bulk or enterprise-scale runs - Integration assistance and automation workflows Built for revenue teams, insurtech vendors, and researchers who need accurate insurance company leads at scale β€” fast. For any help or custom solution, contact via this mail: scrapermindapi@gmail.com # Actor input Schema ## `googleMapsSearchTerm` (type: `string`): Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists'). ## `googleMapsLocation` (type: `array`): Target geographic location for the email scraper (e.g., 'Miami, Florida'). ## `maxBusinesses` (type: `integer`): Target number of businesses to find (1-1000). The scraper will stop when this target is reached. ## `scrapeMaxBusinessesPerLocation` (type: `boolean`): If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for large-scale scraping. ## Actor input object example ```json { "googleMapsSearchTerm": "Insurance Company", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "scrapeMaxBusinessesPerLocation": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "googleMapsSearchTerm": "Insurance Company", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/insurance-company-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "googleMapsSearchTerm": "Insurance Company", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/insurance-company-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Insurance Company", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/insurance-company-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/insurance-company-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Insurance Company Email Scraper", "description": "Insurance company email scraper to extract verified emails from insurance providers, agencies, brokers, and financial service companies πŸ“§πŸ›‘οΈ Perfect for B2B outreach, partnerships, and insurance industry lead generation.", "version": "1.0", "x-build-id": "MdZfdQ1VfyTdeTJU0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~insurance-company-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-insurance-company-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/contacts-api~insurance-company-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-insurance-company-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/contacts-api~insurance-company-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-insurance-company-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "googleMapsLocation", "googleMapsSearchTerm" ], "properties": { "googleMapsSearchTerm": { "title": "Search Term", "type": "string", "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').", "default": "Insurance Company" }, "googleMapsLocation": { "title": "Location", "type": "array", "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').", "default": [ "New York" ], "items": { "type": "string" } }, "maxBusinesses": { "title": "Maximum Businesses With Emails", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.", "default": 5 }, "scrapeMaxBusinessesPerLocation": { "title": "Scrape Max Businesses Per Location", "type": "boolean", "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Recommended for large-scale scraping." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```