# 𝕏 (twitter) Info Scraper (`agentx/twitter-info-scraper`) Actor X (Twitter) profile API: 35+ fields including verification, follower velocity, engagement, pinned tweets, and pro-account analytics. JSON feed for influencer marketing, competitive intelligence, and audience-segmentation pipelines. - **URL**: https://apify.com/agentx/twitter-info-scraper.md - **Developed by:** [AgentX](https://apify.com/agentx) (community) - **Categories:** Social media, Lead generation, Developer tools - **Stats:** 113 total users, 7 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $6.70 / 1,000 profiles This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## X Info Scraper - X/Twitter Account Intelligence & Profile Data API **Extract structured X (Twitter) user profiles with 35+ fields including verification status, follower analytics, engagement metrics, device usage, and pinned tweet data.** This API accepts usernames, @handles, or full URLs and returns structured JSON for account verification, competitor monitoring, and social-graph enrichment workflows. [![X/Twitter](https://img.shields.io/badge/X_Twitter-ffd700?style=for-the-badge&color=ffd700)](https://apify.com/agentx/twitter-info-scraper?fpr=aiagentapi) [![35+ Fields](https://img.shields.io/badge/35+_Fields-ffd700?style=for-the-badge&color=ffd700)](https://apify.com/agentx/twitter-info-scraper?fpr=aiagentapi) [![Batch Processing](https://img.shields.io/badge/Batch_Processing-ffd700?style=for-the-badge&color=ffd700)](https://apify.com/agentx/twitter-info-scraper?fpr=aiagentapi) --- ### Why Choose This X/Twitter Profile Extraction API #### 35+ Profile Fields with Verification, Analytics & Social Graph Data **🎯 Comprehensive Profile Extraction** 35+ fields per profile: verification status (legacy + blue), account type, category, follower/following counts, tweet/media/favorites statistics, listed count, creator subscriptions, and business affiliates. **📱 Universal Input Formats** Extract structured X/Twitter profile intelligence from any identifier format — pure username (`Elonmusk`), @handle (`@Tesla`), profile URLs (`https://x.com/SpaceX`), or tweet URLs — with automatic parsing and normalization. **📌 Pinned Tweet Analytics** Extract pinned tweet text, URL, view count, quote count, reply count, retweet count, bookmark count, and favorite count for engagement signal analysis. **🔍 Device & Platform Tracking** Identify which devices and platforms a user posts from (Twitter for iPhone, Web App, etc.) for behavioral profiling and authenticity verification. **🤖 AI-Ready Structured Output** JSON output optimized for LangChain, CrewAI, and custom AI agent workflows with consistent schema and null handling for missing fields. --- ### Why Choose This API This actor is designed for structured output, repeatable automation, and downstream integration in monitoring, enrichment, or ingestion pipelines. ### Quick Start Guide #### How to Extract X Profile Data in 3 Steps ##### Step 1: Enter Usernames Provide X usernames, @handles, or profile URLs. [Open Actor Input](https://console.apify.com/actors/PVpATK5xrZz1JBNvn/input?fpr=aiagentapi) ##### Step 2: Run the Actor Click "Start" to extract profiles. Each username is resolved and enriched with full metadata. ##### Step 3: Access Structured Results Download JSON dataset or integrate via Apify API into your analytics or CRM pipeline. #### Example Input ```json { "usernames": ["Elonmusk", "@Tesla", "https://x.com/SpaceX"] } ```` *** ### Input Parameters | Parameter | Type | Required | Description | | ---------------- | ----- | -------- | -------------------------------------------------- | | **👤 Usernames** | Array | Yes | X usernames, @handles, profile URLs, or tweet URLs | *** ### Output Data Schema Each extracted X profile returns 35+ structured fields: [Open Actor Input](https://console.apify.com/actors/PVpATK5xrZz1JBNvn/input?fpr=aiagentapi) | Field | Type | Description | | --------------------- | ------- | ---------------------------------------- | | **user\_id** | String | Unique X user identifier | | **user\_name** | String | Username (handle without @) | | **display\_name** | String | Display name | | **description** | String | Bio/description text | | **location** | String | User-set location | | **created\_at** | String | Account creation date | | **verified** | Boolean | Legacy verified status | | **verified\_type** | String | Verification type (Business, Government) | | **blue\_verified** | Boolean | X Premium (blue checkmark) | | **identity\_verified** | Boolean | Identity verification status | | **protected** | Boolean | Private/protected account | | **followers\_count** | Integer | Follower count | | **following\_count** | Integer | Following count | | **statuses\_count** | Integer | Total tweet count | | **favourites\_count** | Integer | Total likes given | | **media\_count** | Integer | Media post count | | **listed\_count** | Integer | List appearances | | **account\_type** | String | Professional type (Business, Creator) | | **account\_category** | String | Professional category | | **user\_devices** | Array | Posting devices/platforms | | **avatar\_url** | String | Profile picture URL | | **banner\_url** | String | Banner image URL | | **profile\_urls** | Array | Website URLs from profile | | **description\_urls** | Array | URLs from bio | | **pined** | Object | Pinned tweet with engagement metrics | | **processor** | String | Apify actor URL | | **processed\_at** | String | ISO processing timestamp | #### Example Output ```json { "user_id": "44196397", "user_name": "elonmusk", "display_name": "Elon Musk", "description": "CEO of Tesla and SpaceX", "location": "Austin, Texas", "verified": true, "blue_verified": false, "followers_count": 150000000, "following_count": 500, "statuses_count": 25000, "account_type": "Business", "user_devices": ["Twitter for iPhone", "Twitter Web App"], "profile_urls": ["https://tesla.com"], "pined": { "url": "https://x.com/elonmusk/status/1234567890", "text": "Exciting times ahead!", "view_count": 5000000, "favorite_count": 120000 }, "processor": "https://apify.com/agentx/twitter-info-scraper?fpr=aiagentapi", "processed_at": "2024-08-31T14:23:45Z" } ``` *** ### Integration Examples #### Python Integration Example ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run_input = { "usernames": ["Elonmusk", "@Tesla", "https://x.com/SpaceX"] } run = client.actor("PVpATK5xrZz1JBNvn").call(run_input=run_input) dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items for item in dataset_items: print(f"@{item['user_name']} | {item['followers_count']} followers | {item.get('account_type', 'N/A')}") ``` #### JavaScript/Node.js Integration ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_API_TOKEN" }); const input = { usernames: ["Elonmusk", "@Tesla", "https://x.com/SpaceX"] }; const run = await client.actor("PVpATK5xrZz1JBNvn").call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.log( `@${item.user_name} | ${item.followers_count} followers | Verified: ${item.verified}`, ); }); ``` #### Actor ID for Platform Integration ```text PVpATK5xrZz1JBNvn ``` #### Ⓜ️ [Make.com Setup:](https://www.make.com/en/register?pc=marketingme) 1. Login to **[Make.com (Get 1000 Free Credits)](https://www.make.com/en/register?pc=marketingme)** 2. Add module **"Run an Actor"** 3. Turn **'Map'** on - right side of the 'Actor\*' 4. Paste **Actor ID** - from above 5. Click the **'⟳ Refresh'** - left side of Map 6. **Input JSON\*** - Modify the parameters as needed 7. Set **"Run synchronously"** to **YES** 8. Add module **"Get Dataset Items"** - receive the result 9. In **Dataset ID\*** select **defaultDatasetId** #### 🎱 [N8N.io Setup:](https://n8n.io/) 1. Add **'Run an Actor and get dataset'** - from the apify node 2. **Actor** → **By ID** → **Paste Actor ID** - from above 3. **Input JSON** - Modify the parameters as needed #### JSON-LD Metadata ```json { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "X Info Scraper", "description": "X/Twitter profile data extraction API with 35+ fields, verification status, and engagement analytics", "applicationCategory": "Developer Tools", "operatingSystem": "Cloud", "url": "https://apify.com/agentx/twitter-info-scraper?fpr=aiagentapi", "dateModified": "2026-04-21", "offers": { "@type": "Offer", "price": "0.007", "priceCurrency": "USD" } } ``` *** ### Pricing & Cost Calculator #### Transparent Pay-Per-Use Model | Event Type | Price | Description | | --------------- | -------- | ------------------------------------------------- | | **Actor Start** | $0.0001 | Charged per run start (per GB of memory) | | **Actor Usage** | $0.00001 | Charged for runtime based on resource consumption | | **Profile** | $0.007 | Per X profile extracted with full metadata | #### Cost Examples **Small Batch** (100 profiles): - Profiles: 100 × $0.007 = $0.70 - **Total**: ~$0.70 **Medium Batch** (1,000 profiles): - Profiles: 1,000 × $0.007 = $7.00 - **Total**: ~$7.00 **Large Batch** (10,000 profiles): - Profiles: 10,000 × $0.007 = $70.00 - **Total**: ~$70.00 *** ### Use Cases & Applications #### Lead Generation & Sales Intelligence **Prospect Database Building** Extract profile metadata, website URLs, and professional categories from industry-relevant X accounts to build targeted prospect databases for outreach campaigns. **Account-Based Marketing** Enrich CRM records with X profile data — follower counts, verification status, and professional categorization — for ABM scoring and prioritization. #### Influencer Analytics & Social Intelligence **Influencer Identification** Batch-extract profiles from specific verticals to identify verified accounts, high-engagement creators, and potential brand ambassadors based on quantitative metrics. **Competitive Social Monitoring** Track competitor follower growth, posting patterns (via device data), and engagement benchmarks for competitive intelligence dashboards. #### Research & Data Enrichment **Social Graph Analysis** Map follower/following ratios, listed counts, and account categories across cohorts for academic research, network analysis, or audience segmentation. **Identity Verification** Cross-reference X verification status, account age, and posting devices for KYC workflows, fraud detection, and authenticity scoring. *** ### FAQ #### What username formats does the X Info Scraper accept? The API accepts pure usernames (`Elonmusk`), @handles (`@Tesla`), profile URLs (`https://x.com/SpaceX`), and tweet URLs (`https://x.com/user/status/123`). All formats are automatically parsed. #### What data is included in the pinned tweet object? The `pined` field includes the tweet URL, text, creation date, view count, quote count, reply count, retweet count, bookmark count, and favorite count. #### Can I extract data from protected/private accounts? Protected accounts return limited metadata (username, display name, follower count) but bio, tweets, and detailed fields are restricted by X's privacy settings. #### How many profiles can I process per run? There is no hard limit on batch size. Processing speed scales linearly — typical throughput is 100–500 profiles per minute. #### What verification types are tracked? The API distinguishes legacy verification (`verified`), X Premium blue checkmark (`blue_verified`), verification type (Business, Government), and identity verification status. #### Does the API require X API keys? No. The actor handles all authentication and rate limiting internally. No X API keys or developer credentials are needed. #### What data fields are included per profile? Each profile returns 35+ fields: username, display name, bio, location, website, follower/following counts, tweet/media/favorites statistics, listed count, verification status (legacy + blue), account type, category, creator subscriptions, pinned tweet with engagement metrics, profile/banner images, and creation date. *** ### SEO Keywords & Search Terms #### Primary Keywords X profile scraper API, Twitter data extraction, X user intelligence API, Twitter profile data API, X/Twitter profile analytics, social media profile extraction #### Long-Tail Keywords extract X Twitter profiles API, Twitter user verification status data, X profile batch extraction structured data, Twitter follower analytics pipeline, X user device tracking API, Twitter influencer discovery API, X account intelligence CRM enrichment, social media profile batch extraction pipeline #### Industry Terms social intelligence, user profiling, influencer analytics, social graph analysis, identity verification, account-based marketing, CRM enrichment *** ### Trust & Certifications - ✅ **Enterprise Ready** - Processing thousands of profiles per run with 99.9% uptime - ✅ **GDPR Compliant** - EU data protection standards - ✅ **35+ Data Fields** - Comprehensive profile intelligence - ✅ **Regular Updates** - Continuous maintenance for platform changes *** ### Legal & Compliance #### Data Rights & Usage All data extracted by this actor originates from publicly accessible X/Twitter profiles. Users are responsible for ensuring their use complies with applicable laws and X's Terms of Service. #### Privacy Compliance - **GDPR**: Compliant with EU General Data Protection Regulation. No personal data is stored beyond the extraction session. - **CCPA**: Compliant with California Consumer Privacy Act requirements. #### Platform Terms of Service Users must review and comply with X's Terms of Service regarding data usage. This tool accesses only publicly available profile information. #### Enterprise Support For enterprise licensing, custom integrations, or compliance inquiries: - **Telegram**: [@AiAgentApi](https://t.me/AiAgentApi) *** ### Related Tools #### Jobs & Hiring - **[All Job Scraper](https://apify.com/agentx/all-jobs-scraper?fpr=aiagentapi)** - Multi-Platform Job Data Extraction API - **[Indeed Hiring Scraper](https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi)** - Indeed Job Extraction & Market Intelligence - **[LinkedIn Hiring Scraper](https://apify.com/agentx/linkedin-hiring-scraper?fpr=aiagentapi)** - LinkedIn Job Data Extraction & Talent Intelligence - **[Glassdoor Hiring Scraper](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi)** - Glassdoor Salary Intelligence & Company Reviews #### LinkedIn - **[LinkedIn Company Scraper](https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi)** - LinkedIn Company Data Extraction & Firmographic Intelligence - **[LinkedIn Profile Scraper](https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi)** - 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Zillow Property Listing Extraction & Real Estate Data #### Maps & Local - **[Google Maps Store Scraper](https://apify.com/agentx/google-maps-store-scraper?fpr=aiagentapi)** - Google Maps Business Data Extraction & Local Intelligence *** ### Support & Community - **👥 Community**: [@Apify\_Actor](https://t.me/Apify_Actor) - **👤 Contact Team**: [@AiAgentApi](https://t.me/AiAgentApi) *** **Last Updated:** April 21, 2026 # Actor input Schema ## `usernames` (type: `array`): Enter 𝕏(twitter) username in any format ## Actor input object example ```json { "usernames": [ "OpenAI", "@claudeai", "https://x.com/deepseek_ai" ] } ``` # Actor output Schema ## `results` (type: `string`): Open the full list of X profile results with verification, followers, links, and pinned post details. # 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 = { "usernames": [ "OpenAI", "@claudeai", "https://x.com/deepseek_ai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("agentx/twitter-info-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 = { "usernames": [ "OpenAI", "@claudeai", "https://x.com/deepseek_ai", ] } # Run the Actor and wait for it to finish run = client.actor("agentx/twitter-info-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 '{ "usernames": [ "OpenAI", "@claudeai", "https://x.com/deepseek_ai" ] }' | apify call agentx/twitter-info-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentx/twitter-info-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "𝕏 (twitter) Info Scraper", "description": "X (Twitter) profile API: 35+ fields including verification, follower velocity, engagement, pinned tweets, and pro-account analytics. JSON feed for influencer marketing, competitive intelligence, and audience-segmentation pipelines.", "version": "0.0", "x-build-id": "7eKJF8WF0xUbVJhrR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentx~twitter-info-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentx-twitter-info-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentx~twitter-info-scraper/runs": { "post": { "operationId": "runs-sync-agentx-twitter-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentx~twitter-info-scraper/run-sync": { "post": { "operationId": "run-sync-agentx-twitter-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "usernames" ], "properties": { "usernames": { "title": "👤 User Names", "minItems": 1, "maxItems": 1000, "type": "array", "description": "Enter 𝕏(twitter) username in any format", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```