# Acquire.com Scraper ā€” Full Financials, Metrics & Details (`memo23/acquire-scraper`) Actor Acquire.com scraper with the FULL logged-in dataset: TTM & monthly revenue/profit, multiples, growth, ARR, churn, customers, business model, tech stack, competitors, key assets, financing & P\&L per startup listing. Filter by category, price, revenue, profit. JSON/CSV, pure HTTP - **URL**: https://apify.com/memo23/acquire-scraper.md - **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community) - **Categories:** Lead generation, AI, Agents - **Stats:** 17 total users, 16 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $12.50 / 1,000 startup listings 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 ## Acquire.com Scraper ā€” Full Financials, Metrics & Details

Acquire.com Scraper

Extract **startup acquisition listings from [Acquire.com](https://acquire.com)** (formerly MicroAcquire) with the complete **logged-in dataset** ā€” not just the thin public preview other scrapers return. Every competing Acquire scraper is HTTP-only and reads the public page, so it gets ~6 fields: title, asking price, annual revenue/profit, category. **This actor authenticates** and pulls the full marketplace data behind the free buyer login: **TTM & last-month revenue/profit, valuation multiples, growth rate, ARR, churn, customer count, business model, tech stack, competitors, growth opportunities, key assets, financing, the year-by-year P&L snapshot, and more** ā€” for every listing. --- ### šŸ”„ What you get per listing **šŸ’° Financials** - Asking price + currency - TTM (trailing-12-month) revenue & profit - Last month's revenue & profit - Revenue multiple & profit multiple - Annual growth rate (%) - ARR (annual recurring revenue) - Year-by-year P&L snapshot (revenue / expenses / net income) **šŸ‘„ Customer metrics** - Customer count (band) - Churn rate (+ numeric + trend) **šŸ§© The structured "Details" section** - Business model + keywords - Tech stack + keywords - Competitors - Growth opportunities - Key assets - Selling reason - Financing type - Asking-price reasoning - Date founded, team size **šŸ“‹ Basics** - Listing title & full description - Category, location, verified status - Canonical listing URL, weekly views > Listings on Acquire are anonymized ā€” the seller's company name / website is unlocked only on the paid Platinum tier. This actor returns everything **except** the masked identity. Every field above is from the **free** logged-in view. --- ### šŸŽÆ Two ways to use it **1. Crawl the marketplace (default).** Leave *Start URLs* empty and the actor walks the entire marketplace (~1,300+ verified listings), newest-first, applying your filters: ```json { "maxItems": 200, "categories": ["SaaS", "AI"], "minProfit": 50000, "minRevenueMultiple": 1, "maxRevenueMultiple": 5, "verifiedOnly": true, "fetchFullDetails": true } ```` **2. Specific listings.** Paste listing URLs (public `ā€¦/startup/-` or logged-in `ā€¦/startup//`): ```json { "startUrls": [ "https://app.acquire.com/startup/p0z12oozeu-product-bundling-app-for-shopify-merchants" ], "fetchFullDetails": true } ``` #### Filters `categories` Ā· `verifiedOnly` Ā· `minPrice`/`maxPrice` Ā· `minRevenue`/`maxRevenue` (TTM) Ā· `minProfit`/`maxProfit` (TTM) Ā· `minRevenueMultiple`/`maxRevenueMultiple` Ā· `minProfitMultiple`/`maxProfitMultiple` Ā· `minGrowth`. Numeric filters are applied on the rich per-listing data, so they're exact. *** ### šŸ“¦ Output sample ```json { "startupId": "byDmmxVSuCp6Sl7oUkzq", "url": "https://app.acquire.com/startup/cnuhku2dnl-venture-backed-ai-video-saas", "title": "Venture-Backed AI Video SaaS ā€” 250+ Customers, $52k ARR", "category": "AI", "location": "United States", "askingPrice": 119130, "currency": "USD", "revenueMultiple": 1.1, "profitMultiple": 9.9, "ttmRevenue": 104096, "ttmProfit": 12000, "lastMonthRevenue": 5281, "lastMonthProfit": 1000, "annualGrowthRate": -39.63, "arr": 54655, "customers": "251-500", "churnRate": "10%+", "businessModel": "Subscription", "techStack": "Django, Python, React, PostgreSQL, AWS", "competitors": ["Heygen"], "growthOpportunities": ["Increase pricing", "Expand to new markets"], "keyAssets": ["Codebase", "Customers", "Intellectual property"], "sellingReasoning": "Lack of time", "financing": "Bootstrapped", "dateFounded": "2022-02-01", "teamSize": "small", "askingPriceReasoning": "Price ~ ARR x 2.3x and ~ TTM profit x 9.9x ā€¦", "financialSnapshot": { "entries": [ { "type": "TTM", "revenue": 65000, "expenses": 53000, "netIncome": 12000 } ] } } ``` *** ### šŸ†š vs. other Acquire.com scrapers Every other Acquire scraper is HTTP-only and reads the public page. **This one logs in** ā€” so it returns the data buyers actually evaluate deals on. | Data | Public-only scrapers | This actor | |---|:---:|:---:| | Title, asking price, category, description | āœ… | āœ… | | Annual revenue & profit | āœ… | āœ… | | **TTM & last-month revenue / profit** | āŒ | āœ… | | **Revenue & profit multiples** | āŒ | āœ… | | **ARR Ā· churn Ā· customer count** | āŒ | āœ… | | **Business model Ā· tech stack Ā· competitors** | āŒ | āœ… | | **Growth opportunities Ā· key assets** | āŒ | āœ… | | **Year-by-year P\&L snapshot** | āŒ | āœ… | | **Asking-price reasoning Ā· financing** | āŒ | āœ… | | Fields per listing | ~6 | **42** | *** ### āš™ļø How it works

How the Acquire.com Scraper works

Pure HTTP ā€” no headless browser. The actor authenticates, then reads the marketplace search API and each listing's detail document directly, with polite request pacing and automatic retry/back-off on rate limits. Set `fetchFullDetails: false` for a faster, cheaper summary-only run (still includes all the financials, multiples, growth, churn, customers and ARR). ### šŸ’” Use cases - **Acquisition deal sourcing** ā€” filter the whole marketplace by price, revenue, profit, multiple, growth. - **Market & valuation research** ā€” multiples and metrics across categories. - **Build a deal pipeline** ā€” structured, deduplicated dataset for your CRM or model. - **Monitor new listings** ā€” schedule daily, newest-first. ### ā“ FAQ **Do I need an Acquire.com account?** No ā€” the actor handles authentication for you. **Can I get the startup's name/website?** No ā€” those are masked by Acquire behind the paid Platinum tier. Everything else from the logged-in view is included. **Is this affiliated with Acquire.com?** No. ### šŸ“Ø Support Questions or custom fields? **muhameddidovic@gmail.com** ### āš ļø Disclaimer This Actor accesses data on Acquire.com for legitimate research, market-intelligence, and acquisition deal-sourcing purposes. Use of this Actor must comply with Acquire.com's Terms of Service and all applicable laws, including data-protection regulations (GDPR, CCPA, etc.). The Actor's authors are not responsible for any misuse. Users must: - Respect rate limits and avoid overloading Acquire.com's infrastructure - Not use scraped data to violate user privacy or the platform's terms - Use the data in compliance with applicable jurisdictions - Not republish scraped content in violation of copyright This Actor is **not affiliated with, endorsed by, or sponsored by** Acquire.com or MicroAcquire. All trademarks belong to their respective owners. We do not store any scraped data; the Actor returns it directly to your Apify dataset for your authorized use. ### SEO Keywords acquire.com scraper, microacquire scraper, acquire.com api, startup acquisition scraper, saas marketplace scraper, buy startup data, startup listings scraper, m\&a deal sourcing, acquire.com data extraction, startup financials scraper, ARR scraper, MRR data, saas valuation multiples, startup revenue data, business for sale scraper, acquisition marketplace data, deal flow automation, micro-PE data, search fund sourcing, acquire.com bulk export, startup metrics API, JSON CSV export, apify scraper, no-code scraper # Actor input Schema ## `startUrls` (type: `array`): Specific Acquire.com listing URLs to scrape, e.g. https://app.acquire.com/startup/\-\. When provided, only these are scraped and the marketplace filters below are ignored.

Clear this field to crawl the whole marketplace (~1,300+ listings) with your filters instead. ## `maxItems` (type: `integer`): Maximum number of listings to scrape. The live marketplace has ~1,300+ verified listings. ## `categories` (type: `array`): Restrict to specific Acquire categories. Known values (case-sensitive): SaaS, eCommerce, Mobile, AI, Shopify, Services, Content, Digital, Other. Leave empty for all categories. ## `verifiedOnly` (type: `boolean`): Only return listings Acquire flags as verified. ## `fetchFullDetails` (type: `boolean`): When enabled (default) the scraper reads each listing's full detail document ā€” business model, tech stack, competitors, growth opportunities, key assets, selling reason, asking-price reasoning, and the year-by-year P\&L snapshot.

When disabled, only the marketplace summary is returned (still includes all financials, multiples, growth, churn, customers, ARR) ā€” faster and cheaper. ## `minPrice` (type: `integer`): Only listings with asking price ā‰„ this. ## `maxPrice` (type: `integer`): Only listings with asking price ā‰¤ this. ## `minRevenue` (type: `integer`): Only listings with trailing-12-month revenue ā‰„ this. ## `maxRevenue` (type: `integer`): Only listings with trailing-12-month revenue ā‰¤ this. ## `minProfit` (type: `integer`): Only listings with trailing-12-month profit ā‰„ this. ## `maxProfit` (type: `integer`): Only listings with trailing-12-month profit ā‰¤ this. ## `minRevenueMultiple` (type: `integer`): Asking price Ć· TTM revenue ā‰„ this. ## `maxRevenueMultiple` (type: `integer`): Asking price Ć· TTM revenue ā‰¤ this. ## `minProfitMultiple` (type: `integer`): Asking price Ć· TTM profit ā‰„ this. ## `maxProfitMultiple` (type: `integer`): Asking price Ć· TTM profit ā‰¤ this. ## `minGrowth` (type: `integer`): Only listings with annual growth rate ā‰„ this percent. ## `includeRawData` (type: `boolean`): Add the raw Acquire API objects (\_rawSearch / \_rawDetail) to each record for debugging or access to fields not mapped above. ## `proxy` (type: `object`): Proxy used for requests. Residential US recommended. Paying users default to Apify Residential (US). ## Actor input object example ```json { "startUrls": [ "https://app.acquire.com/startup/cnuhku2dnl-venture-backed-ai-video-saas-in-house-avatars-agents-250-customers-52k" ], "maxItems": 25, "categories": [ "SaaS" ], "verifiedOnly": false, "fetchFullDetails": true, "includeRawData": false, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "startUrls": [ "https://app.acquire.com/startup/cnuhku2dnl-venture-backed-ai-video-saas-in-house-avatars-agents-250-customers-52k" ], "maxItems": 25, "categories": [ "SaaS" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("memo23/acquire-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`šŸ’¾ 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); }); // šŸ“š Want to learn more šŸ“–? Go to ā†’ 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 = { "startUrls": ["https://app.acquire.com/startup/cnuhku2dnl-venture-backed-ai-video-saas-in-house-avatars-agents-250-customers-52k"], "maxItems": 25, "categories": ["SaaS"], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("memo23/acquire-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("šŸ’¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # šŸ“š Want to learn more šŸ“–? Go to ā†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "https://app.acquire.com/startup/cnuhku2dnl-venture-backed-ai-video-saas-in-house-avatars-agents-250-customers-52k" ], "maxItems": 25, "categories": [ "SaaS" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call memo23/acquire-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=memo23/acquire-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Acquire.com Scraper ā€” Full Financials, Metrics & Details", "description": "Acquire.com scraper with the FULL logged-in dataset: TTM & monthly revenue/profit, multiples, growth, ARR, churn, customers, business model, tech stack, competitors, key assets, financing & P&L per startup listing. Filter by category, price, revenue, profit. JSON/CSV, pure HTTP", "version": "0.0", "x-build-id": "wN6dhGgGDKvsaFjNM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memo23~acquire-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memo23-acquire-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/memo23~acquire-scraper/runs": { "post": { "operationId": "runs-sync-memo23-acquire-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/memo23~acquire-scraper/run-sync": { "post": { "operationId": "run-sync-memo23-acquire-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": { "startUrls": { "title": "Start URLs (optional)", "type": "array", "description": "Specific Acquire.com listing URLs to scrape, e.g. https://app.acquire.com/startup/<linkId>-<slug>. When provided, only these are scraped and the marketplace filters below are ignored.

Clear this field to crawl the whole marketplace (~1,300+ listings) with your filters instead.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max listings", "minimum": 1, "type": "integer", "description": "Maximum number of listings to scrape. The live marketplace has ~1,300+ verified listings.", "default": 100 }, "categories": { "title": "Categories", "type": "array", "description": "Restrict to specific Acquire categories. Known values (case-sensitive): SaaS, eCommerce, Mobile, AI, Shopify, Services, Content, Digital, Other. Leave empty for all categories.", "default": [], "items": { "type": "string" } }, "verifiedOnly": { "title": "Verified listings only", "type": "boolean", "description": "Only return listings Acquire flags as verified.", "default": false }, "fetchFullDetails": { "title": "Fetch full details (business model, tech stack, competitors, P&Lā€¦)", "type": "boolean", "description": "When enabled (default) the scraper reads each listing's full detail document ā€” business model, tech stack, competitors, growth opportunities, key assets, selling reason, asking-price reasoning, and the year-by-year P&L snapshot.

When disabled, only the marketplace summary is returned (still includes all financials, multiples, growth, churn, customers, ARR) ā€” faster and cheaper.", "default": true }, "minPrice": { "title": "Min asking price (USD)", "type": "integer", "description": "Only listings with asking price ā‰„ this." }, "maxPrice": { "title": "Max asking price (USD)", "type": "integer", "description": "Only listings with asking price ā‰¤ this." }, "minRevenue": { "title": "Min TTM revenue (USD)", "type": "integer", "description": "Only listings with trailing-12-month revenue ā‰„ this." }, "maxRevenue": { "title": "Max TTM revenue (USD)", "type": "integer", "description": "Only listings with trailing-12-month revenue ā‰¤ this." }, "minProfit": { "title": "Min TTM profit (USD)", "type": "integer", "description": "Only listings with trailing-12-month profit ā‰„ this." }, "maxProfit": { "title": "Max TTM profit (USD)", "type": "integer", "description": "Only listings with trailing-12-month profit ā‰¤ this." }, "minRevenueMultiple": { "title": "Min revenue multiple", "type": "integer", "description": "Asking price Ć· TTM revenue ā‰„ this." }, "maxRevenueMultiple": { "title": "Max revenue multiple", "type": "integer", "description": "Asking price Ć· TTM revenue ā‰¤ this." }, "minProfitMultiple": { "title": "Min profit multiple", "type": "integer", "description": "Asking price Ć· TTM profit ā‰„ this." }, "maxProfitMultiple": { "title": "Max profit multiple", "type": "integer", "description": "Asking price Ć· TTM profit ā‰¤ this." }, "minGrowth": { "title": "Min annual growth rate (%)", "type": "integer", "description": "Only listings with annual growth rate ā‰„ this percent." }, "includeRawData": { "title": "Include raw API data", "type": "boolean", "description": "Add the raw Acquire API objects (_rawSearch / _rawDetail) to each record for debugging or access to fields not mapped above.", "default": false }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Proxy used for requests. Residential US recommended. Paying users default to Apify Residential (US).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```