# Property Management Leads Scraper - Companies & Emails (`scrapesage/property-management-leads-scraper`) Actor Scrape US property-management companies by city, state or nationwide: company name, direct contact emails, full address, the property types they manage (single-family, multi-family, HOA, commercial), description and logo. Every record is a ready-to-contact B2B lead. No login, no key, no browser. - **URL**: https://apify.com/scrapesage/property-management-leads-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Lead generation, Real estate, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $6.00 / 1,000 company lead scrapeds 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 ## Property Management Leads Scraper — Companies, Emails & Segments Extract **US property-management companies as ready-to-contact B2B leads** — with the field most lead tools can't get: **direct contact emails** (often several named decision-makers per company). For every company you get the **name, full address and extra offices, the property types they manage** (single-family, multi-family, HOA/association, commercial, vacation), a description, logo and a 0–100 lead score. No login, no cookies, no browser, no API key — fast, reliable JSON extraction. ### Why this property-management scraper? Most "property management lead" tools just run a Google Maps search and return a generic business email (or none). This actor reads a national property-management directory directly and ships the **richest, most contactable list in the category** — built for vendors who sell *to* property managers. | Data | Google-Maps lead tools | This actor | |---|---|---| | Company name & full address | ✅ | ✅ | | **Direct contact emails** | ❌ rarely | ✅ ~100%, often multiple named contacts | | Property types managed (SF / multi-family / HOA / commercial) | ❌ | ✅ | | High-level segments to target | ❌ | ✅ | | Company description & tagline | ❌ | ✅ | | Additional office locations | ❌ | ✅ | | Logo | ❌ | ✅ | | Lead score (0–100) | ❌ | ✅ | | New / changed-company monitor | ❌ | ✅ | ### Use cases - **B2B lead generation** — property managers are high-value buyers of proptech, maintenance, turnover/cleaning, insurance, accounting, lending, smart-home and marketing services. Export them with direct emails and the segments they manage, then feed your CRM or outreach sequence. - **Account-based marketing** — filter to the exact segment (e.g. only *multi-family* or *HOA/association* managers) and reach the named contacts. - **Market research & TAM building** — map the property-management landscape city-by-city or nationwide. - **Channel & partnership prospecting** — find managers by what they manage and where. - **List hygiene** — run in monitor mode on a schedule to capture new companies and updated contacts. ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **Property Management Leads Scraper**, add one or more `City, ST` locations (or turn on **Scrape the whole nationwide directory**), and click **Start**. 3. Watch results stream into the dataset table. 4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2). ### Input ```json { "locations": ["Austin, TX", "Denver, CO"], "categoriesFilter": ["Multi-Family"], "withEmailOnly": true, "maxResults": 100 } ```` - **locations** — US cities as `City, ST` (e.g. `Austin, TX`). Returns every company that serves the city. - **scrapeNationwide** *(default false)* — ignore locations and pull the entire national directory (cap with `maxResults`). - **companyIds / startUrls** — scrape specific companies directly by ID or profile URL. - **categoriesFilter** — keep only companies that manage a segment: `Single Family`, `Multi-Family`, `Association / HOA`, `Commercial`, `Vacation / Short-Term`. - **withEmailOnly / minEmails** — require at least one (or N) contact emails. - **maxResults** — total cap (default 100). - **monitorMode** *(default false)* — return only new or changed companies since the last run. ### Output One record per company (`type: "company"`): ```json { "type": "company", "companyId": "12345", "name": "Pioneer Real Estate Services", "emails": ["laurel.fentanes@rowcal.com", "brian.moore@rowcal.com", "michele.eilers@rowcal.com"], "primaryEmail": "laurel.fentanes@rowcal.com", "emailCount": 3, "street": "1801 S MoPac Expy, Suite 100", "city": "Austin", "state": "TX", "zip": "78746", "country": "US", "additionalOffices": ["123 Main St, Round Rock, TX 78664"], "officeCount": 2, "tagline": "Full-service residential & HOA management in Central Texas.", "description": "Pioneer manages single-family homes, multi-family communities and homeowner associations…", "propertyTypes": ["Single Home or Condo", "Multi-Family (5-19 units)", "HOA"], "categories": ["Single Family", "Multi-Family", "Association / HOA"], "logoUrl": "https://…/logo.png", "profileUrl": "https://www.allpropertymanagement.com/property-management/12345", "searchLocation": "Austin, TX", "leadScore": 88, "scrapedAt": "2026-06-24T12:00:00.000Z" } ``` #### What to expect (field coverage) | Always present | Usually present | Present when published | |---|---|---| | name, emails, city, state, categories, profileUrl, leadScore | street, zip, propertyTypes, tagline, description, logo | additionalOffices (multi-office firms) | Contact emails are present for ~all companies — many list several named decision-makers. A blank field means the company didn't publish it; nothing is dropped. ### Automate & schedule Run this actor on autopilot and pull results into your own stack: - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run it weekly with `monitorMode` to keep your list fresh with new and updated companies. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/property-management-leads-scraper').call({ locations: ['Austin, TX'], categoriesFilter: ['Multi-Family'], maxResults: 100, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} property-management leads`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new leads straight into your CRM. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored market adds companies. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find multi-family property managers in Denver with emails" and let it run the scraper for you. ### More scrapers from scrapesage Build a complete **real-estate & property lead-gen stack**: - **[Rent.com Scraper](https://apify.com/scrapesage/rent-com-scraper)** — apartments, rentals and property leads. - **[Zillow Scraper](https://apify.com/scrapesage/zillow-scraper)** — for-sale, for-rent and sold listings with agent leads. - **[Redfin Scraper](https://apify.com/scrapesage/redfin-scraper)** — listings, prices and price history. - **[Realtor.com Scraper](https://apify.com/scrapesage/realtor-com-scraper)** — properties, prices and agent leads. - **[Crexi Scraper](https://apify.com/scrapesage/crexi-scraper)** — commercial real-estate listings and broker leads. - **[FastExpert Scraper](https://apify.com/scrapesage/fastexpert-scraper)** — real estate agent leads, reviews and production stats. - **[Google Maps Scraper](https://apify.com/scrapesage/google-maps-scraper)** — local business leads with contacts. - **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — emails, phones and socials from any website. - **[BBB Scraper](https://apify.com/scrapesage/bbb-scraper)** — accredited-business profiles and ratings. - **[Yellow Pages Scraper](https://apify.com/scrapesage/yellow-pages-scraper)** — local business listings and contacts. ### Tips - **Segment first**: use `categoriesFilter` to target exactly the kind of manager your product serves (e.g. *Multi-Family* for unit-turn vendors, *Association / HOA* for community software). - **Multi-contact outreach**: each record can carry several named emails — great for reaching the right person. - **Whole markets**: enumerate several `City, ST` values, or use `scrapeNationwide` to build a complete database. - **Keep it fresh**: combine [Schedules](https://docs.apify.com/platform/schedules) with `monitorMode` to capture new companies and updated contacts only. ### FAQ **How do I get property managers for a city?** Put it in `locations` as `City, ST` (e.g. `Austin, TX`). The actor returns every company that serves that city. **Does it really include emails?** Yes — direct contact emails are published for nearly every company, and many list several named contacts. This is the main reason to use it over a generic Google-Maps lead tool. **Can I get the whole country?** Yes — turn on `scrapeNationwide` and set `maxResults` to the number you want. **Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **How do I keep my CRM list fresh?** Create a [Schedule](https://docs.apify.com/platform/schedules), turn on `monitorMode`, and add a [webhook](https://docs.apify.com/platform/integrations/webhooks) to push new and updated companies into your CRM. **Is this legal?** This actor collects publicly available business data only. You are responsible for using the data in compliance with applicable laws (e.g. CAN-SPAM/GDPR for outreach) and the source's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `locations` (type: `array`): US cities to pull property-management companies for, as `City, ST` — e.g. `Austin, TX`, `Denver, CO`, `Miami, FL`. Returns every company that serves the city. ## `scrapeNationwide` (type: `boolean`): Ignore locations and pull the entire national directory of property-management companies (use `maxResults` to cap). Great for building a complete list. ## `companyIds` (type: `array`): Optional specific AllPropertyManagement company IDs to scrape directly. ## `startUrls` (type: `array`): Optional company profile URLs (e.g. `https://www.allpropertymanagement.com/property-management/195`) to scrape directly. ## `maxResults` (type: `integer`): Total number of companies to return (0 = no limit). ## `categoriesFilter` (type: `array`): Only keep companies that manage at least one of these property categories. Leave empty for all. ## `withEmailOnly` (type: `boolean`): Keep only companies that have at least one contact email (almost all do). ## `minEmails` (type: `integer`): Only keep companies with at least this many distinct contact emails. ## `deduplicateCompanies` (type: `boolean`): Skip duplicate companies within a run (a company can serve several cities). ## `monitorMode` (type: `boolean`): Remember companies from previous runs in a named key-value store and return ONLY companies that are new or whose emails / categories / description changed (tagged with a `monitorReason`). Perfect for keeping a CRM list fresh. Works alongside Apify Schedules (the schedule starts the run; monitor mode filters out what you've already seen). ## `monitorStoreName` (type: `string`): Named key-value store used to remember seen companies across runs. Use a distinct name per monitored search. ## `maxConcurrency` (type: `integer`): Maximum number of company profiles fetched in parallel. ## `proxyConfiguration` (type: `object`): Proxy settings. The source has no anti-bot, so the default Apify proxy (datacenter) is plenty. ## Actor input object example ```json { "locations": [ "Austin, TX" ], "scrapeNationwide": false, "maxResults": 100, "categoriesFilter": [], "withEmailOnly": false, "minEmails": 0, "deduplicateCompanies": true, "monitorMode": false, "monitorStoreName": "apm-monitor", "maxConcurrency": 6, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): Every scraped property-management company in the default dataset. # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/property-management-leads-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"] } # Run the Actor and wait for it to finish run = client.actor("scrapesage/property-management-leads-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" ] }' | apify call scrapesage/property-management-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/property-management-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Property Management Leads Scraper - Companies & Emails", "description": "Scrape US property-management companies by city, state or nationwide: company name, direct contact emails, full address, the property types they manage (single-family, multi-family, HOA, commercial), description and logo. Every record is a ready-to-contact B2B lead. No login, no key, no browser.", "version": "0.1", "x-build-id": "1ZcxIETm3AS8ZIrcb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~property-management-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-property-management-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~property-management-leads-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-property-management-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~property-management-leads-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-property-management-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Locations (City, ST)", "type": "array", "description": "US cities to pull property-management companies for, as `City, ST` — e.g. `Austin, TX`, `Denver, CO`, `Miami, FL`. Returns every company that serves the city.", "items": { "type": "string" } }, "scrapeNationwide": { "title": "Scrape the whole nationwide directory", "type": "boolean", "description": "Ignore locations and pull the entire national directory of property-management companies (use `maxResults` to cap). Great for building a complete list.", "default": false }, "companyIds": { "title": "Company IDs", "type": "array", "description": "Optional specific AllPropertyManagement company IDs to scrape directly.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional company profile URLs (e.g. `https://www.allpropertymanagement.com/property-management/195`) to scrape directly.", "items": { "type": "string" } }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Total number of companies to return (0 = no limit).", "default": 100 }, "categoriesFilter": { "title": "Property categories", "type": "array", "description": "Only keep companies that manage at least one of these property categories. Leave empty for all.", "items": { "type": "string", "enum": [ "Single Family", "Multi-Family", "Association / HOA", "Commercial", "Vacation / Short-Term" ], "enumTitles": [ "Single Family", "Multi-Family", "Association / HOA", "Commercial", "Vacation / Short-Term" ] }, "default": [] }, "withEmailOnly": { "title": "Only companies with an email", "type": "boolean", "description": "Keep only companies that have at least one contact email (almost all do).", "default": false }, "minEmails": { "title": "Minimum emails", "minimum": 0, "type": "integer", "description": "Only keep companies with at least this many distinct contact emails.", "default": 0 }, "deduplicateCompanies": { "title": "Deduplicate companies", "type": "boolean", "description": "Skip duplicate companies within a run (a company can serve several cities).", "default": true }, "monitorMode": { "title": "Monitor mode (only new / changed)", "type": "boolean", "description": "Remember companies from previous runs in a named key-value store and return ONLY companies that are new or whose emails / categories / description changed (tagged with a `monitorReason`). Perfect for keeping a CRM list fresh. Works alongside Apify Schedules (the schedule starts the run; monitor mode filters out what you've already seen).", "default": false }, "monitorStoreName": { "title": "Monitor store name", "type": "string", "description": "Named key-value store used to remember seen companies across runs. Use a distinct name per monitored search.", "default": "apm-monitor" }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 15, "type": "integer", "description": "Maximum number of company profiles fetched in parallel.", "default": 6 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. The source has no anti-bot, so the default Apify proxy (datacenter) is plenty.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```