# Tech Stack Detector – Website Tech, Email Provider & Leads (`haketa/tech-stack-detector`) Actor Detect the technology stack of any website: CMS, ecommerce, frameworks, analytics, CDN, server and more β€” with categories and versions. Plus technographic lead signals: email provider (Google Workspace / Microsoft 365), SSL issuer, hosting, emails and social profiles. - **URL**: https://apify.com/haketa/tech-stack-detector.md - **Developed by:** [Haketa](https://apify.com/haketa) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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

Tech Stack Detector πŸ”

Platform What Plus No code Export

Find out what any website is built with β€” and how to reach the people behind it.

Give it a list of websites and get back each one's **complete technology stack** (CMS, ecommerce, frameworks, analytics, CDN, server, JavaScript libraries, payment and marketing tools) **with categories and versions** β€” plus the **technographic and contact signals** most detectors skip: **email provider, SSL issuer, hosting, emails and social profiles**. A **BuiltWith & Wappalyzer alternative** that turns technology detection into **ready-to-use sales leads** β€” no code required. --- ### ⚑ At a glance | | | |---|---| | 🧩 **Full tech stack** | CMS, ecommerce, frameworks, analytics, CDN, server, JS libs… | | 🏷️ **Categories & versions** | Every technology tagged and versioned where detectable | | πŸ“§ **Email provider** | Google Workspace / Microsoft 365 / Zoho… via DNS MX | | πŸ”’ **SSL & hosting** | Certificate issuer, CDN, web server, IP address | | πŸ“‡ **Contact leads** | Emails, phones and social profiles from the page | | πŸ“¦ **Bulk** | Analyse one site or thousands from a file/list | | ⚑ **Fast & serverless** | Pure-HTTP β€” no browser, quick and cheap | | πŸ’Ύ **Export** | Excel, CSV, JSON, HTML or API | --- ### πŸ“Œ Why this Actor? Most tech detectors stop at a list of technologies. This one is built for **technographic lead generation** β€” it adds the signals sales, marketing and research teams actually act on: - 🧩 **Complete stack** β€” hundreds of detectable technologies across CMS, ecommerce, frameworks, analytics, tag managers, CDNs, web servers, programming languages, payment processors and marketing tools. - πŸ“§ **Email provider** β€” is the company on **Google Workspace** or **Microsoft 365**? Detected from the domain's DNS MX records β€” a powerful qualification signal. - πŸ”’ **Infrastructure** β€” SSL certificate issuer & expiry, CDN, web server and IP address. - πŸ“‡ **Contact data** β€” emails, phone numbers and social-media profiles pulled straight from the site. - πŸ“¦ **Built for bulk** β€” feed a list of prospect domains and get an enriched technographic dataset back. The result: not just *what* a site runs, but *who to contact* and *how they're set up*. --- ### ✨ What you get (data fields) > **Coverage key:** 🟒 almost every site Β· 🟑 when published/available Β· βšͺ situational #### 🧩 Technology | Field | Description | Coverage | |-------|-------------|:--------:| | `technologyNames` | Flat list of all detected technologies | 🟒 | | `technologiesByCategory` | Technologies grouped by category | 🟒 | | `technologies` | Detailed detections (category, version, confidence) | 🟒 | | `cms` | Detected CMS (WordPress, Drupal…) | 🟑 | | `ecommercePlatform` | Detected ecommerce platform (Shopify, Magento…) | 🟑 | #### πŸ—οΈ Infrastructure | Field | Description | Coverage | |-------|-------------|:--------:| | `server` | Web server (Nginx, Apache, cloudflare…) | 🟑 | | `cdn` | Content delivery network | 🟑 | | `poweredBy` | `X-Powered-By` header | βšͺ | | `ipAddress` | Resolved IPv4 address | 🟒 | | `sslIssuer` / `sslValidTo` | SSL certificate issuer & expiry | 🟒 | #### πŸ“§ Technographic & contact (lead data) | Field | Description | Coverage | |-------|-------------|:--------:| | `emailProvider` | Email provider via DNS MX (Google Workspace / Microsoft 365 / …) | 🟒 | | `mailServers` | Raw MX hostnames | 🟒 | | `emails` | Emails found on the page | 🟑 | | `socialLinks` | Social-media profiles | 🟑 | | `phones` | Phone numbers found on the page | βšͺ | #### πŸ“„ Page & meta | Field | Description | Coverage | |-------|-------------|:--------:| | `url` / `finalUrl` | Requested and post-redirect URL | 🟒 | | `statusCode` | HTTP status | 🟒 | | `title` / `description` | Page title & meta description | 🟒 | | `scrapedAt` | Collection timestamp | 🟒 | --- ### πŸš€ Quick start 1. Click **Try for free / Start**. 2. Add your **Websites** β€” one domain or URL per line: ```` gymshark.com stripe.com https://www.allbirds.com ```` 3. *(Optional)* Toggle **email provider**, **SSL** and **contact** enrichment. 4. Click **Save & Start**, then export from the **Dataset** tab. > πŸ’‘ **Tip:** Have a big prospect list? Use **Websites from file / URL list** to load thousands of domains from a CSV, Google Sheet or URL. --- ### 🎯 Use cases | Use case | What it delivers | |----------|------------------| | 🧲 **Technographic lead generation** | Build lists of companies using a specific stack (e.g. Shopify + Klaviyo) β€” with email provider and contacts to reach them. | | πŸ•΅οΈ **Competitive intelligence** | See exactly what competitors run β€” CMS, analytics, CDN, payment and marketing tools. | | πŸ’Ό **Sales qualification** | Qualify prospects by platform and email provider before you reach out. | | πŸ“Š **Market research** | Measure technology adoption across a list of domains or an industry. | | 🧰 **Agency & audit** | Audit a client's or prospect's tech and infrastructure in seconds. | | πŸ”Œ **App & integration targeting** | Find sites already using the platform your product plugs into. | --- ### βš™οΈ Input reference | Input | Type | Default | Description | |-------|------|---------|-------------| | **Websites** | list | *sample* | One domain or URL per line. | | **Websites from file / URL list** | list | β€” | Bulk-load domains from a file, URL or Google Sheet. | | **Detect email provider (DNS MX)** | boolean | `true` | Identify Google Workspace / Microsoft 365 / etc. | | **Check SSL certificate issuer** | boolean | `true` | Report SSL issuer and expiry. | | **Extract contact & social data** | boolean | `true` | Pull emails, phones and social profiles. | | **Page timeout (seconds)** | number | `25` | Per-website response timeout. | | **Proxy configuration** | object | Datacenter | Default works well. | | **Max concurrent requests** | number | `8` | Websites analysed in parallel (5–15 recommended). | #### πŸ“₯ Example input ```json { "websites": ["gymshark.com", "allbirds.com", "stripe.com"], "detectEmailProvider": true, "checkSsl": true, "extractContacts": true, "maxConcurrency": 10 } ```` *** ### πŸ“€ Example output ```json { "url": "https://allbirds.com/", "finalUrl": "https://www.allbirds.com/", "statusCode": 200, "title": "Allbirds: Comfortable, Sustainable Shoes & Apparel", "technologyNames": ["Shopify", "Google Tag Manager", "Cloudflare", "HSTS", "HTTP/3"], "technologiesByCategory": { "Ecommerce": ["Shopify"], "Tag managers": ["Google Tag Manager"], "CDN": ["Cloudflare"] }, "cms": null, "ecommercePlatform": "Shopify", "server": "cloudflare", "cdn": "Cloudflare", "ipAddress": "23.227.38.74", "sslIssuer": "Google Trust Services", "sslValidTo": "2026-09-01", "emailProvider": "Microsoft 365", "mailServers": ["allbirds-com.mail.protection.outlook.com"], "emails": ["help@allbirds.com"], "socialLinks": ["https://www.instagram.com/allbirds/"], "scrapedAt": "2026-07-24T13:40:00.000Z" } ``` *** ### πŸ’‘ Tips & best practices - βœ… **Feed clean domains** β€” `example.com` or a full URL both work; `https://` is added automatically. - βœ… **Qualify by email provider** β€” `Microsoft 365` vs `Google Workspace` is a strong segmentation signal. - βœ… **Group by category** β€” use `technologiesByCategory` to filter for a specific stack (e.g. all sites with Klaviyo). - βœ… **Turn off enrichment** you don't need (SSL / contacts) to run even faster. - βœ… **Scale up** β€” raise concurrency and load domains from a file for large lists. - βœ… **Combine signals** β€” tech + email provider + contacts = a complete technographic lead. *** ### ❓ FAQ **What technologies can it detect?** Hundreds β€” across CMS, ecommerce, JavaScript frameworks, analytics, tag managers, CDNs, web servers, programming languages, payment processors and marketing tools, with categories and versions where available. **How is this different from a plain tech detector?** It adds the **technographic lead layer**: email provider (DNS MX), SSL issuer, hosting/IP, and on-page emails, phones and socials β€” so each result is a usable lead, not just a tech list. **Do I need to code?** No. Paste your domains, click Start, and export. **Can I analyse thousands of websites?** Yes β€” load them from a file or URL list and raise concurrency. **Why do some sites show few technologies?** Highly custom or heavily protected sites expose fewer fingerprints. Infrastructure and DNS signals (email provider, SSL, IP) are still returned. **In what format is the data?** Structured JSON by default, exportable to CSV, Excel, HTML or via API. *** ### πŸ“Š Output & integrations Results are stored in a standard Apify dataset. You can: - πŸ‘€ Preview them in a clean **table view** in the Console. - πŸ’Ύ Export to **JSON, CSV, Excel, HTML, or RSS**. - πŸ”Œ Pull them via the **Apify API**. - πŸ”— Push them to **Google Sheets, Make, Zapier, Airbyte** and more. *** ### βš–οΈ Legal & responsible use This Actor inspects **publicly available website and DNS information** for legitimate purposes such as market research, competitive analysis and B2B lead generation. - Use the data in compliance with **GDPR** and any other applicable laws, including rules on **B2B marketing and electronic communications**. - Any personal data (e.g. emails) requires a lawful basis for processing and outreach β€” ensure you have one and honour opt-out requests. - Respect each website's terms of service and use the data responsibly. - You are responsible for how you use the collected data. *** ### πŸ›Ÿ Support Found a bug, need an extra signal, or want a tweak? **Open an issue** on the Actor's Issues tab β€” feedback is welcome and helps improve the Actor.

Happy prospecting! πŸ”

# Actor input Schema ## `websites` (type: `array`): One website per line β€” a domain or full URL (e.g. 'shopify.com', 'https://www.gymshark.com'). Each is analysed for its technology stack and lead signals. ## `startUrls` (type: `array`): Optional. Load a large list of websites from a file, URL, Google Sheet or Apify Request Queue instead of typing them. ## `detectEmailProvider` (type: `boolean`): Look up the domain's mail servers to identify the email provider (Google Workspace, Microsoft 365, Zoho, etc.) β€” a strong technographic signal. ## `checkSsl` (type: `boolean`): Read the SSL certificate to report its issuer (Let's Encrypt, DigiCert, Cloudflare, etc.) and expiry date. ## `extractContacts` (type: `boolean`): Pull emails, phone numbers and social-media profiles from the page β€” turning tech detection into ready-to-use technographic leads. ## `pageTimeoutSecs` (type: `integer`): How long to wait for each website to respond before giving up. ## `proxyConfiguration` (type: `object`): Proxy settings for reliable, uninterrupted analysis across many websites. Datacenter proxies (the default) work well. ## `maxConcurrency` (type: `integer`): How many websites to analyse in parallel. Higher finishes large lists faster. Recommended: 5–15. ## Actor input object example ```json { "websites": [ "shopify.com", "wordpress.org" ], "startUrls": [], "detectEmailProvider": true, "checkSsl": true, "extractContacts": true, "pageTimeoutSecs": 25, "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 8 } ``` # Actor output Schema ## `datasetItems` (type: `string`): Download every analysed website (JSON, CSV, Excel). ## `runUrl` (type: `string`): Open this run in the Apify Console. ## `url` (type: `string`): Website analysed ## `title` (type: `string`): Page title ## `technologyNames` (type: `string`): All detected technologies ## `technologiesByCategory` (type: `string`): Technologies grouped by category ## `cms` (type: `string`): Content management system ## `ecommercePlatform` (type: `string`): Ecommerce platform ## `server` (type: `string`): Web server ## `cdn` (type: `string`): Content delivery network ## `emailProvider` (type: `string`): Email provider via DNS MX ## `sslIssuer` (type: `string`): SSL certificate issuer ## `ipAddress` (type: `string`): Resolved IPv4 address ## `emails` (type: `string`): Emails found on the page ## `socialLinks` (type: `string`): Social-media profiles ## `phones` (type: `string`): Phone numbers found on the page ## `technologies` (type: `string`): Full detections with category, version and confidence ## `statusCode` (type: `string`): HTTP status code ## `finalUrl` (type: `string`): URL after redirects ## `scrapedAt` (type: `string`): ISO 8601 timestamp # 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 = { "websites": [ "gymshark.com", "vercel.com" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("haketa/tech-stack-detector").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 = { "websites": [ "gymshark.com", "vercel.com", ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("haketa/tech-stack-detector").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 '{ "websites": [ "gymshark.com", "vercel.com" ], "startUrls": [], "proxyConfiguration": { "useApifyProxy": true } }' | apify call haketa/tech-stack-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=haketa/tech-stack-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tech Stack Detector – Website Tech, Email Provider & Leads", "description": "Detect the technology stack of any website: CMS, ecommerce, frameworks, analytics, CDN, server and more β€” with categories and versions. Plus technographic lead signals: email provider (Google Workspace / Microsoft 365), SSL issuer, hosting, emails and social profiles.", "version": "1.0", "x-build-id": "INuPMBLFaB4WXgC7C" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/haketa~tech-stack-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-haketa-tech-stack-detector", "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/haketa~tech-stack-detector/runs": { "post": { "operationId": "runs-sync-haketa-tech-stack-detector", "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/haketa~tech-stack-detector/run-sync": { "post": { "operationId": "run-sync-haketa-tech-stack-detector", "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": { "websites": { "title": "Websites", "type": "array", "description": "One website per line β€” a domain or full URL (e.g. 'shopify.com', 'https://www.gymshark.com'). Each is analysed for its technology stack and lead signals.", "items": { "type": "string" } }, "startUrls": { "title": "Websites from file / URL list (advanced)", "type": "array", "description": "Optional. Load a large list of websites from a file, URL, Google Sheet or Apify Request Queue instead of typing them.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "detectEmailProvider": { "title": "Detect email provider (DNS MX)", "type": "boolean", "description": "Look up the domain's mail servers to identify the email provider (Google Workspace, Microsoft 365, Zoho, etc.) β€” a strong technographic signal.", "default": true }, "checkSsl": { "title": "Check SSL certificate issuer", "type": "boolean", "description": "Read the SSL certificate to report its issuer (Let's Encrypt, DigiCert, Cloudflare, etc.) and expiry date.", "default": true }, "extractContacts": { "title": "Extract contact & social data", "type": "boolean", "description": "Pull emails, phone numbers and social-media profiles from the page β€” turning tech detection into ready-to-use technographic leads.", "default": true }, "pageTimeoutSecs": { "title": "Page timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "How long to wait for each website to respond before giving up.", "default": 25 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for reliable, uninterrupted analysis across many websites. Datacenter proxies (the default) work well.", "default": { "useApifyProxy": true } }, "maxConcurrency": { "title": "Max concurrent requests", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many websites to analyse in parallel. Higher finishes large lists faster. Recommended: 5–15.", "default": 8 } } }, "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 } } } } } } } } } } ```