# Realtor Agents Scraper — Fast API & Leads (`muhammadafzal/fast-realtor-agents-api-scraper`) Actor Scrape Realtor.com agents by US city, state, ZIP, or search URL. Use for real-estate lead generation and market research; not property listings. Returns profiles, brokerages, ratings, reviews, production metrics, markets, and optional public contacts. Charged $0.005 per agent. - **URL**: https://apify.com/muhammadafzal/fast-realtor-agents-api-scraper.md - **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community) - **Categories:** Real estate, Lead generation, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 agent results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Realtor Agents Scraper — Fast API & Leads **Realtor Agents Scraper** collects public real-estate agent directory data from Realtor.com by US city, state, ZIP code, or direct agent-search URL. It is built for proptech sales, mortgage and title marketing, brokerage recruiting, territory research, CRM enrichment, and AI-agent workflows that need consistent JSON rather than manually copied profile pages. The default fast mode calls Realtor.com's first-party agent search GraphQL API. This keeps runs short while returning names, brokerages, ratings, reviews, testimonials, production counts, price bands, recent markets, photos, and profile URLs. Turn on profile enrichment when you also need public phone, website, address, language, specialty, or service-area fields. Realtor.com's current profile API does not normally expose agent email addresses, so `email` is returned as `null`. Private and login-only data are outside this Actor's scope. Each unique agent record costs **$0.005**. A 100-agent run therefore has a maximum result-event cost of **$0.50**, plus the low synthetic Actor-start event and any platform usage shown by Apify. ### What data can I extract with Realtor Agents Scraper? | Field | Description | |---|---| | `agentId` | Stable Realtor.com or NRDS-style identifier | | `name` | Agent or team display name | | `profileUrl` | Public Realtor.com profile URL | | `photoUrl` | Agent photo URL when available | | `brokerage` | Brokerage or office name | | `rating` | Realtor.com rating value | | `reviewCount` | Public review count | | `testimonialCount` | Public testimonial count | | `salesLast12Months` | Production count shown for the previous 12 months | | `priceRangeMin`, `priceRangeMax` | Normalized property price band | | `recentSalesLocations` | Markets visible on the directory card | | `phone`, `website` | Public profile contacts when enrichment is enabled | | `email` | Reserved stable field; currently normally `null` because the source API does not expose it | | `officeAddress` | Public office address when available | | `languages`, `specialties`, `serviceAreas` | Public profile enrichment fields | | `locationQuery` | Input market that produced the record | | `sourceUrl`, `scrapedAt` | Provenance and extraction timestamp | All optional scalar fields are returned explicitly as `null`; optional lists are returned as empty arrays. This stable shape makes the dataset suitable for Apify MCP, database imports, typed API clients, and downstream validation. ### Use cases for Realtor.com agent data - Build territory-specific real-estate agent prospect lists for mortgage, title, insurance, staging, photography, software, and home-service sales. - Identify productive agents using ratings, review volume, testimonials, price bands, and recent 12-month sales counts. - Research brokerage presence by city or ZIP code. - Recruit agents for brokerages and real-estate teams using public professional data. - Enrich an existing CRM with public Realtor.com profile and production fields. - Feed structured agent records to Claude, ChatGPT, LangChain, n8n, Make, Zapier, or a custom data pipeline. - Monitor changes in agent coverage and market activity through scheduled runs. Do not use this Actor for Realtor.com property listings, private MLS data, identity verification, email verification, consumer contact data, or bypassing access controls. A separate property-listing scraper is a better tool for homes, prices, beds, baths, and listing photos. ### How much will scraping Realtor.com agents cost? The Actor uses transparent pay-per-event pricing: | Event | Price | |---|---:| | Actor start | $0.00005 per synthetic start unit | | Agent result | $0.005 per unique record saved | Worked examples for result events: - 25 agents: up to **$0.125** - 100 agents: up to **$0.50** - 500 agents: up to **$2.50** - 1,000 agents: up to **$5.00** The Actor prints the maximum result-event cost before scraping and reports the actual billed result count at the end. `maxResults`, Apify's maximum paid dataset-item limit, and the caller's maximum total charge all stop further output when reached. Failed pages are not billed as agent results. Profile enrichment makes one additional first-party API request per agent but does not create a second custom event. Platform compute charges depend on the billing option and account configuration shown in Apify Console; the Actor does not require residential proxies. ### How to use Realtor Agents Scraper The smallest valid input uses the working default: ```json { "locations": ["Austin, TX"], "maxResults": 25, "includeProfileDetails": false } ```` Search several markets in one run: ```json { "locations": ["Miami, FL", "Dallas, TX", "90210"], "maxResults": 300, "includeProfileDetails": false, "maxConcurrency": 6 } ``` Use a direct Realtor.com agent-directory URL: ```json { "startUrls": [ { "url": "https://www.realtor.com/realestateagents/New-York_NY" } ], "maxResults": 100, "includeProfileDetails": true } ``` When `startUrls` is supplied, it replaces `locations`. The Actor validates that every URL belongs to Realtor.com and begins with `/realestateagents`. Pagination is handled automatically and results are deduplicated by agent ID across pages and locations. #### Fast mode or profile enrichment? Use `includeProfileDetails: false` for bulk discovery, market analysis, production scoring, or any workflow that primarily needs directory-card fields. This is the default and avoids one extra page visit per agent. Use `includeProfileDetails: true` when public phone, website, office address, languages, specialties, and service areas matter more than runtime. Realtor.com does not provide every field for every agent, so enriched fields can still be `null` or empty. The current profile API normally leaves `email` as `null`. ### Output example ```json { "agentId": "785038427", "name": "Clark Gray", "profileUrl": "https://www.realtor.com/realestateagents/Clark-Gray_785038427", "photoUrl": "https://ap.rdcpix.com/example.webp", "brokerage": "Mercer Street Group, LLC", "officeAddress": null, "phone": null, "email": null, "website": null, "rating": 5, "reviewCount": 35, "testimonialCount": 144, "salesLast12Months": 42, "priceRangeMin": 180000, "priceRangeMax": 1750000, "priceRangeText": "$180k - $1.75M", "languages": [], "specialties": [], "serviceAreas": [], "recentSalesLocations": ["East Elmhurst, NY", "Jackson Heights, NY"], "locationQuery": "New York, NY", "sourceUrl": "https://www.realtor.com/realestateagents/New-York_NY", "scrapedAt": "2026-07-13T12:00:00.000Z" } ``` The run also writes an `OUTPUT` summary to the default key-value store. It reports results pushed, billed events, blocked requests, empty pages, warnings, enrichment mode, and terminal status. ### Use the Apify API JavaScript with `apify-client`: ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('YOUR_USERNAME/fast-realtor-agents-api-scraper').call({ locations: ['Austin, TX'], maxResults: 100, includeProfileDetails: false, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` Python: ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("YOUR_USERNAME/fast-realtor-agents-api-scraper").call(run_input={ "locations": ["Austin, TX"], "maxResults": 100, "includeProfileDetails": False, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` cURL: ```bash curl -X POST \ "https://api.apify.com/v2/acts/YOUR_USERNAME~fast-realtor-agents-api-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"locations":["Austin, TX"],"maxResults":25,"includeProfileDetails":false}' ``` ### Use Realtor Agents Scraper through an MCP Server Apify exposes Store actors through its hosted MCP server. The Actor's input descriptions are written for tool routing, and the dataset schema uses stable semantic keys with explicit nulls. An AI agent can call the Actor for requests such as “find 50 active Realtor.com agents in Austin and return brokerage, rating, reviews, sales count, and profile URL.” Do not select this tool when the user asks for property listings, home valuations, private MLS fields, or verified emails. The expected price is $0.005 per returned agent plus the disclosed start and platform usage costs. ### Reliability and limits The Actor uses Realtor.com's public first-party GraphQL operations for location resolution, paginated agent search, and optional profile enrichment. Requests have bounded exponential retries for transient 403, 429, timeout, and 5xx responses. If every input fails, the run ends honestly as failed instead of silently returning an empty success. Partial data is preserved. If an enriched profile fails after retries, the Actor returns the already discovered directory-card record and adds a warning to `OUTPUT`. Long runs persist agent IDs and counters so host migration does not duplicate results or charges. Public page structure and available fields can change. Some agents do not publish contact details, and results can vary by location, Realtor.com ranking, time, and geography. The Actor does not guarantee exhaustive MLS membership or contact completeness. ### Other dedicated scrapers - [Realtor Lead Scraper](https://apify.com/muhammadafzal/realtor-lead-scraper) - [Google Maps Scraper](https://apify.com/muhammadafzal/google-maps-scraper) - [Leads Finder Pro](https://apify.com/muhammadafzal/leads-finder-pro) - [Yellow Pages US Scraper](https://apify.com/muhammadafzal/yellow-pages-us-scraper) - [Contractor Lead Scraper](https://apify.com/muhammadafzal/contractor-lead-scraper) - [HVAC Lead Scraper](https://apify.com/muhammadafzal/hvac-lead-scraper) - [USA Plumbers Scraper](https://apify.com/muhammadafzal/usa-plumbers-scraper) - [Justia Lawyer Directory Scraper](https://apify.com/muhammadafzal/justia-lawyer-directory-scraper) - [Email Address Validator](https://apify.com/muhammadafzal/email-address-validator) - [CSLB California Scraper](https://apify.com/muhammadafzal/cslb-california-scraper) ### FAQ #### How many results can I scrape with Realtor Agents Scraper? Set `maxResults` from 1 to 5,000. The available total depends on Realtor.com's public directory for the requested markets. The Actor stops at the configured cap and deduplicates agents across pages and locations. #### Can I integrate Realtor Agents Scraper with other apps? Yes. Use Apify integrations, webhooks, Zapier, Make, n8n, Google Sheets, cloud storage, or your own database pipeline. Dataset exports are available as JSON, CSV, Excel, XML, and other Apify-supported formats. #### Can I use Realtor Agents Scraper with the Apify API? Yes. Start asynchronous runs, call synchronously, read dataset items, and fetch the `OUTPUT` summary through the Apify API or official clients. Examples are included above. #### Can I use Realtor Agents Scraper through an MCP Server? Yes. Configure Apify's hosted MCP server with this Actor. The compact, stable schema is suitable for agent selection, validation, pagination, and downstream tool chains. #### Do I need proxies to use this Actor? No. This version calls Realtor.com's first-party public GraphQL API and does not require Apify Proxy. That reduces runtime, memory, and proxy cost compared with browser scraping. #### Is it legal to scrape Realtor.com data? This Actor extracts publicly displayed professional information. You are responsible for reviewing Realtor.com's terms, privacy and marketing laws, applicable state rules, and the legal basis for your use. Do not use the output for harassment, unlawful discrimination, spam, identity theft, or access to non-public data. Consult qualified counsel for high-risk or regulated use cases. #### Your feedback If a public field changes or a market returns incomplete results, open an Actor issue with the run ID, input, and expected field. Do not include private credentials or personal data in issue reports. # Actor input Schema ## `locations` (type: `array`): Use this when searching agents by place. Enter US city/state or ZIP strings, for example \["Austin, TX","90210"]. Defaults to \["Austin, TX"] and supports up to 50 locations. Do not put Realtor.com URLs here; use Start URLs instead. ## `startUrls` (type: `array`): Use this when you already have Realtor.com agent-directory URLs, for example https://www.realtor.com/realestateagents/New-York\_NY. URLs must use realtor.com and start with /realestateagents. Defaults to an empty list; when supplied, these URLs replace Locations. Do not provide individual property-listing URLs. ## `maxResults` (type: `integer`): Use this to cap agents saved across all locations. Enter an integer such as 100. Defaults to 25; allowed range is 1–5,000 and result-event cost is capped at maxResults × $0.005. This is not a page limit. ## `includeProfileDetails` (type: `boolean`): Use this when public phone, website, address, languages, specialties, or service areas are worth extra API calls. Defaults to false for the fastest path. Realtor.com usually does not expose agent email addresses through this API, so email remains null unless the source adds it in the future. ## `maxConcurrency` (type: `integer`): Use this to tune simultaneous profile-enrichment API calls. Enter an integer such as 6. Defaults to 6; allowed range is 1–12. Search pagination remains controlled and this is not the number of locations or results. ## Actor input object example ```json { "locations": [ "Austin, TX", "90210" ], "startUrls": [ { "url": "https://www.realtor.com/realestateagents/New-York_NY" } ], "maxResults": 100, "includeProfileDetails": true, "maxConcurrency": 6 } ``` # Actor output Schema ## `agents` (type: `string`): Structured Realtor.com agent records in the default dataset. ## `summary` (type: `string`): Final OUTPUT record with result count, billed events, warnings, and terminal status. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "locations": [ "Austin, TX" ], "startUrls": [], "maxResults": 25, "includeProfileDetails": false, "maxConcurrency": 6 }; // Run the Actor and wait for it to finish const run = await client.actor("muhammadafzal/fast-realtor-agents-api-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "locations": ["Austin, TX"], "startUrls": [], "maxResults": 25, "includeProfileDetails": False, "maxConcurrency": 6, } # Run the Actor and wait for it to finish run = client.actor("muhammadafzal/fast-realtor-agents-api-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 '{ "locations": [ "Austin, TX" ], "startUrls": [], "maxResults": 25, "includeProfileDetails": false, "maxConcurrency": 6 }' | apify call muhammadafzal/fast-realtor-agents-api-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=muhammadafzal/fast-realtor-agents-api-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realtor Agents Scraper — Fast API & Leads", "description": "Scrape Realtor.com agents by US city, state, ZIP, or search URL. Use for real-estate lead generation and market research; not property listings. Returns profiles, brokerages, ratings, reviews, production metrics, markets, and optional public contacts. Charged $0.005 per agent.", "version": "2.1", "x-build-id": "TYrt61ykf249D39x1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/muhammadafzal~fast-realtor-agents-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-muhammadafzal-fast-realtor-agents-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/muhammadafzal~fast-realtor-agents-api-scraper/runs": { "post": { "operationId": "runs-sync-muhammadafzal-fast-realtor-agents-api-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/muhammadafzal~fast-realtor-agents-api-scraper/run-sync": { "post": { "operationId": "run-sync-muhammadafzal-fast-realtor-agents-api-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", "properties": { "locations": { "title": "US locations", "maxItems": 50, "type": "array", "description": "Use this when searching agents by place. Enter US city/state or ZIP strings, for example [\"Austin, TX\",\"90210\"]. Defaults to [\"Austin, TX\"] and supports up to 50 locations. Do not put Realtor.com URLs here; use Start URLs instead.", "items": { "type": "string" }, "default": [ "Austin, TX" ] }, "startUrls": { "title": "Realtor.com start URLs", "maxItems": 50, "type": "array", "description": "Use this when you already have Realtor.com agent-directory URLs, for example https://www.realtor.com/realestateagents/New-York_NY. URLs must use realtor.com and start with /realestateagents. Defaults to an empty list; when supplied, these URLs replace Locations. Do not provide individual property-listing URLs.", "items": { "type": "object", "properties": { "url": { "title": "Agent directory URL", "type": "string", "description": "A public Realtor.com /realestateagents search URL. Example: https://www.realtor.com/realestateagents/New-York_NY" } }, "required": [ "url" ] }, "default": [] }, "maxResults": { "title": "Maximum agent results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Use this to cap agents saved across all locations. Enter an integer such as 100. Defaults to 25; allowed range is 1–5,000 and result-event cost is capped at maxResults × $0.005. This is not a page limit.", "default": 25 }, "includeProfileDetails": { "title": "Enrich agent profiles", "type": "boolean", "description": "Use this when public phone, website, address, languages, specialties, or service areas are worth extra API calls. Defaults to false for the fastest path. Realtor.com usually does not expose agent email addresses through this API, so email remains null unless the source adds it in the future.", "default": false }, "maxConcurrency": { "title": "Profile API concurrency", "minimum": 1, "maximum": 12, "type": "integer", "description": "Use this to tune simultaneous profile-enrichment API calls. Enter an integer such as 6. Defaults to 6; allowed range is 1–12. Search pagination remains controlled and this is not the number of locations or results.", "default": 6 } } }, "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 } } } } } } } } } } ```