# TradingView Screener, Ideas & Quotes Scraper (`xtracto/tradingview-scraper`) Actor Screen stocks, crypto and forex on TradingView, pull community trading ideas with bullish/bearish sentiment, and fetch live quotes for any symbol. Price, market cap, P/E, volume and technical ratings as clean JSON. No account or API key needed. - **URL**: https://apify.com/xtracto/tradingview-scraper.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** Lead generation, Integrations, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## TradingView Screener, Ideas & Quotes Scraper Screen stocks, crypto and forex, pull community trading ideas, and fetch live quotes from TradingView — as clean, structured JSON ready for spreadsheets, databases, or your own models. ### Why use this actor - **No account, no login, no API key** required. - **Three tools in one:** filter and rank an entire market (screener), collect community trading ideas with a bullish/bearish read, or grab a live quote for any ticker. - **Rich per-symbol data:** price, daily change, volume, market cap, P/E, EPS, sector/industry, analyst-style technical rating and RSI — hundreds of columns available. - **Trading ideas with sentiment:** each idea comes with its title, full write-up, chart link, author, engagement counts, and a derived bullish / bearish / neutral label. - **Stable JSON output** suitable for pipelines, dashboards, and databases — export to JSON, CSV, or Excel. - **Automatic retries**, runs on Apify's schedule, nothing to babysit. ### How it works 1. Pick a **mode**: `screener`, `ideas`, or `quote`. 2. For **screener**, choose a market (US stocks, crypto, forex, global, coins, futures), optional filters, the columns you want, and how to sort. 3. For **ideas** or **quote**, list the symbols you care about (e.g. `NASDAQ:AAPL`, `BTCUSD`). 4. Press **Run**. Results stream into the dataset, one row per symbol or per idea. 5. Download the data or connect it to your workflow. You never manage scrapers, browsers, or blocks — the actor handles all of that. --- ### Mode 1 — Screener Filter and rank a whole market by any columns. #### Input ```json { "mode": "screener", "market": "america", "columns": ["name", "description", "close", "change", "volume", "market_cap_basic", "price_earnings_ttm", "sector", "exchange"], "filter": [{ "left": "market_cap_basic", "operation": "nempty" }], "sortBy": "market_cap_basic", "sortOrder": "desc", "maxItems": 500 } ```` | Field | Type | Description | | --- | --- | --- | | `mode` | string | `screener` | | `market` | string | `america`, `crypto`, `forex`, `global`, `coin`, or `futures` | | `columns` | array | Data columns to return (e.g. `close`, `change`, `volume`, `market_cap_basic`, `price_earnings_ttm`, `sector`, `Recommend.All`, `RSI`). Leave empty for a sensible default per market. | | `filter` | array | Optional filter clauses, each like `{"left":"close","operation":"greater","right":10}`. | | `sortBy` | string | Column to sort by (default `market_cap_basic`). | | `sortOrder` | string | `desc` or `asc`. | | `maxItems` | integer | Max rows to return (0 = all). | #### Output (real sample — top US stock by market cap) ```json { "_input": "screener:america", "_source": "S1-scan", "_scrapedAt": "2026-07-10T20:06:47Z", "symbol": "NASDAQ:NVDA", "name": "NVDA", "description": "NVIDIA Corporation", "close": 210.27, "change": 3.6936581516914933, "change_abs": 7.490000000000009, "volume": 122928878, "market_cap_basic": 5088533969367.857, "price_earnings_ttm": 32.20159882385372, "earnings_per_share_basic_ttm": 6.5651, "sector": "Electronic Technology", "industry": "Semiconductors", "Recommend.All": 0.5575757575757576, "RSI": 56.438654393390536, "exchange": "NASDAQ" } ``` Each row is one symbol; the columns you requested appear as top-level fields (raw values, exactly as TradingView reports them). Crypto markets use crypto-native columns such as `base_currency`, `market_cap_calc`, and `24h_vol|5`. *** ### Mode 2 — Ideas Community trading ideas for the given symbols (24 per page), with a derived sentiment label. #### Input ```json { "mode": "ideas", "symbols": ["NASDAQ:AAPL", "BTCUSD"], "maxPages": 3, "maxItems": 500 } ``` | Field | Type | Description | | --- | --- | --- | | `mode` | string | `ideas` | | `symbols` | array | Symbols like `NASDAQ:AAPL` or bare pairs like `BTCUSD`. | | `maxPages` | integer | Pages of ideas to pull per symbol (24 per page). | | `maxItems` | integer | Max rows to return (0 = all). | #### Output (real sample) ```json { "_input": "NASDAQ:AAPL", "_source": "S2-ideas", "_scrapedAt": "2026-07-10T20:07:02Z", "recordType": "IDEA", "id": 23322312, "title": "AAPL: Apple Is One Step Away From a New Rally", "description": "Apple is not rising explosively, but it is showing what many traders like most: strength after every pullback. After the late-June shakeout, price recovered quickly, reclaimed both the EMA34 and EMA89, and is now back near the previous high around $313. …", "sentiment": "bullish", "direction": 1, "symbol_name": "NASDAQ:AAPL", "exchange": "NASDAQ", "symbol_type": "stock", "interval": "240", "author": "DomicChaina", "author_is_pro": true, "comments_count": 16, "views_count": 0, "likes_count": 36, "is_hot": true, "is_picked": false, "chart_url": "https://www.tradingview.com/chart/AAPL/czlnyBzI-AAPL-Apple-Is-One-Step-Away-From-a-New-Rally/", "created_at": "2026-07-07T07:13:45+00:00", "updated_at": "2026-07-09T02:31:21+00:00" } ``` | Field | Type | Description | | --- | --- | --- | | `id` | integer | Idea ID. | | `title` | string | Idea headline. | | `description` | string | Full write-up. | | `sentiment` | string | `bullish`, `bearish`, or `neutral` (derived from the author's long/short direction). | | `direction` | integer | Raw direction (1 = long, 2 = short, 0 = neutral). | | `symbol_name` / `exchange` / `symbol_type` | string | The symbol the idea is about. | | `interval` | string | Chart timeframe (e.g. `240` = 4h, `1D`, `1W`). | | `author` / `author_is_pro` | string / bool | Who posted it and whether they are a paid member. | | `comments_count` / `views_count` / `likes_count` | integer | Engagement. | | `is_hot` / `is_picked` | bool | Trending / editor-picked flags. | | `chart_url` | string | Link to the annotated chart. | | `created_at` / `updated_at` | string | Timestamps. | The full raw idea object (including nested `symbol` and `user` details) is also included on each record. *** ### Mode 3 — Quote A live snapshot for each ticker. #### Input ```json { "mode": "quote", "symbols": ["NASDAQ:AAPL", "BINANCE:BTCUSD"], "maxItems": 500 } ``` | Field | Type | Description | | --- | --- | --- | | `mode` | string | `quote` | | `symbols` | array | Exchange-prefixed tickers like `NASDAQ:AAPL` or `BINANCE:BTCUSD`. Bare crypto pairs like `BTCUSD` are auto-resolved where possible. | | `maxItems` | integer | Max rows to return (0 = all). | #### Output (real sample) ```json { "_input": "quote", "_source": "S1-scan", "_scrapedAt": "2026-07-10T20:06:50Z", "symbol": "NASDAQ:AAPL", "name": "AAPL", "description": "Apple Inc.", "close": 316.54, "change": 0.10119537031180606, "change_abs": 0.3199999999999932, "volume": 22008581, "market_cap_basic": 4649135827146.644, "price_earnings_ttm": 38.29190104639206, "earnings_per_share_basic_ttm": 8.2965, "Recommend.All": 0.4, "RSI": 64.03583435310654, "sector": "Electronic Technology", "exchange": "NASDAQ" } ``` | Field | Type | Description | | --- | --- | --- | | `symbol` | string | The resolved ticker. | | `close` | number | Last price. | | `change` / `change_abs` | number | Daily change (percent / absolute). | | `volume` | number | Trading volume. | | `market_cap_basic` | number | Market capitalization (null for non-equities). | | `price_earnings_ttm` / `earnings_per_share_basic_ttm` | number | Valuation metrics. | | `Recommend.All` | number | Overall technical rating (−1 strong sell … +1 strong buy). | | `RSI` | number | Relative Strength Index. | | `sector` / `exchange` | string | Classification. | *** ### Notes & limits - **Every record** carries `_input`, `_source`, and `_scrapedAt` so you can trace it back to your request and when it was captured. Rows that can't be resolved are returned as `_error` records instead of being silently dropped. - **Column vocabulary:** screener and quote columns use TradingView's own field IDs. Any column visible in the TradingView screener works here (fundamentals, technicals, performance, and more). - **Sentiment** is derived from the idea author's declared long/short direction, not from text analysis. - **Quotes** need an exchange prefix (`NASDAQ:AAPL`, `BINANCE:BTCUSD`); bare crypto pairs like `BTCUSD` are auto-resolved when a match exists. - **No proxy needed.** TradingView is a public source; leave the proxy option disabled unless you have a specific reason to enable it. # Actor input Schema ## `mode` (type: `string`): What to pull. 'screener' = filter and rank a whole market (stocks, crypto, forex) by any columns. 'ideas' = community trading ideas for the given symbols. 'quote' = live snapshot (price, change, market cap, ratings) for the given tickers. ## `market` (type: `string`): Used when mode = 'screener'. Which TradingView market to screen. ## `columns` (type: `array`): Used when mode = 'screener'. Data columns to return per symbol (same field IDs as the TradingView screener, e.g. close, change, volume, market\_cap\_basic, price\_earnings\_ttm, sector, Recommend.All, RSI). Leave empty for a sensible default set based on the chosen market. ## `filter` (type: `array`): Used when mode = 'screener'. Optional list of filter clauses passed through to TradingView, each like {"left":"market\_cap\_basic","operation":"nempty"} or {"left":"close","operation":"greater","right":10}. Leave empty for no filter. ## `sortBy` (type: `string`): Used when mode = 'screener'. Column ID to sort by (e.g. market\_cap\_basic, volume, change). For crypto markets, market\_cap\_basic is automatically mapped to market\_cap\_calc. ## `sortOrder` (type: `string`): Used when mode = 'screener'. Sort direction. ## `symbols` (type: `array`): Used when mode = 'ideas' or 'quote'. For ideas, a symbol like 'NASDAQ:AAPL' or a bare pair like 'BTCUSD'. For quotes, use exchange-prefixed tickers like 'NASDAQ:AAPL' or 'BINANCE:BTCUSD' (bare crypto pairs are auto-resolved where possible). ## `maxPages` (type: `integer`): Used when mode = 'ideas'. How many pages of ideas to pull per symbol (24 ideas per page). ## `maxItems` (type: `integer`): Maximum records to push to the dataset (0 = no cap). Applied across the whole run. ## `proxyConfiguration` (type: `object`): Optional. TradingView is a public source, so a proxy is not required. Leave disabled unless you want to route requests through Apify Proxy. ## Actor input object example ```json { "mode": "screener", "market": "america", "columns": [ "name", "description", "close", "change", "volume", "market_cap_basic", "price_earnings_ttm", "sector", "exchange" ], "filter": [ { "left": "market_cap_basic", "operation": "nempty" } ], "sortBy": "market_cap_basic", "sortOrder": "desc", "symbols": [ "NASDAQ:AAPL", "BTCUSD" ], "maxPages": 3, "maxItems": 500, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "mode": "screener", "market": "america", "columns": [ "name", "description", "close", "change", "volume", "market_cap_basic", "price_earnings_ttm", "sector", "exchange" ], "filter": [ { "left": "market_cap_basic", "operation": "nempty" } ], "sortBy": "market_cap_basic", "sortOrder": "desc", "symbols": [ "NASDAQ:AAPL", "BTCUSD" ], "maxPages": 3, "maxItems": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/tradingview-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 = { "mode": "screener", "market": "america", "columns": [ "name", "description", "close", "change", "volume", "market_cap_basic", "price_earnings_ttm", "sector", "exchange", ], "filter": [{ "left": "market_cap_basic", "operation": "nempty", }], "sortBy": "market_cap_basic", "sortOrder": "desc", "symbols": [ "NASDAQ:AAPL", "BTCUSD", ], "maxPages": 3, "maxItems": 500, } # Run the Actor and wait for it to finish run = client.actor("xtracto/tradingview-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 '{ "mode": "screener", "market": "america", "columns": [ "name", "description", "close", "change", "volume", "market_cap_basic", "price_earnings_ttm", "sector", "exchange" ], "filter": [ { "left": "market_cap_basic", "operation": "nempty" } ], "sortBy": "market_cap_basic", "sortOrder": "desc", "symbols": [ "NASDAQ:AAPL", "BTCUSD" ], "maxPages": 3, "maxItems": 500 }' | apify call xtracto/tradingview-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/tradingview-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TradingView Screener, Ideas & Quotes Scraper", "description": "Screen stocks, crypto and forex on TradingView, pull community trading ideas with bullish/bearish sentiment, and fetch live quotes for any symbol. Price, market cap, P/E, volume and technical ratings as clean JSON. No account or API key needed.", "version": "0.1", "x-build-id": "sJ5RUWkyWY0lMauqf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~tradingview-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-tradingview-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~tradingview-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-tradingview-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~tradingview-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-tradingview-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "screener", "ideas", "quote" ], "type": "string", "description": "What to pull. 'screener' = filter and rank a whole market (stocks, crypto, forex) by any columns. 'ideas' = community trading ideas for the given symbols. 'quote' = live snapshot (price, change, market cap, ratings) for the given tickers.", "default": "screener" }, "market": { "title": "Market", "enum": [ "america", "crypto", "forex", "global", "coin", "futures" ], "type": "string", "description": "Used when mode = 'screener'. Which TradingView market to screen.", "default": "america" }, "columns": { "title": "Columns", "type": "array", "description": "Used when mode = 'screener'. Data columns to return per symbol (same field IDs as the TradingView screener, e.g. close, change, volume, market_cap_basic, price_earnings_ttm, sector, Recommend.All, RSI). Leave empty for a sensible default set based on the chosen market.", "items": { "type": "string" } }, "filter": { "title": "Filter", "type": "array", "description": "Used when mode = 'screener'. Optional list of filter clauses passed through to TradingView, each like {\"left\":\"market_cap_basic\",\"operation\":\"nempty\"} or {\"left\":\"close\",\"operation\":\"greater\",\"right\":10}. Leave empty for no filter." }, "sortBy": { "title": "Sort by column", "type": "string", "description": "Used when mode = 'screener'. Column ID to sort by (e.g. market_cap_basic, volume, change). For crypto markets, market_cap_basic is automatically mapped to market_cap_calc.", "default": "market_cap_basic" }, "sortOrder": { "title": "Sort order", "enum": [ "desc", "asc" ], "type": "string", "description": "Used when mode = 'screener'. Sort direction.", "default": "desc" }, "symbols": { "title": "Symbols / tickers", "type": "array", "description": "Used when mode = 'ideas' or 'quote'. For ideas, a symbol like 'NASDAQ:AAPL' or a bare pair like 'BTCUSD'. For quotes, use exchange-prefixed tickers like 'NASDAQ:AAPL' or 'BINANCE:BTCUSD' (bare crypto pairs are auto-resolved where possible).", "items": { "type": "string" } }, "maxPages": { "title": "Max idea pages per symbol", "minimum": 1, "type": "integer", "description": "Used when mode = 'ideas'. How many pages of ideas to pull per symbol (24 ideas per page).", "default": 3 }, "maxItems": { "title": "Max records (0 = all)", "minimum": 0, "type": "integer", "description": "Maximum records to push to the dataset (0 = no cap). Applied across the whole run.", "default": 500 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional. TradingView is a public source, so a proxy is not required. Leave disabled unless you want to route requests through Apify Proxy.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```