# Underdog Fantasy Player Props Scraper (`crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds`) Actor Scrape live Underdog Fantasy player props — over/under lines, American/decimal odds, pitchers, and weather across 18 leagues. Part of Crawloop DFS Props Suite. - **URL**: https://apify.com/crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds.md - **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community) - **Categories:** Developer tools, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.05 / 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.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 ## Underdog Fantasy Player Props Scraper — Lines & Odds > **Crawloop DFS Player Props Suite** — Real-time player props, over/under lines, and odds from US daily fantasy sports (DFS) pick'em platforms. Built for odds-comparison tools, sports analytics pipelines, and research dashboards. > > Suite hub: [github.com/PLCSPS-DEV/dfs-player-props](https://github.com/PLCSPS-DEV/dfs-player-props) > > Product site: [crawloop.com/sports-data](https://crawloop.com/sports-data.html) | PrizePicks | Betr Picks | DraftKings Pick6 | Underdog Fantasy | Multi-Source | | :--- | :--- | :--- | :--- | :--- | | [Player Props Scraper](https://apify.com/crawloop/prizepicks-player-props-scraper?fpr=guboir) | [Picks Scraper](https://apify.com/crawloop/betr-picks-scraper?fpr=guboir) | [Pick6 Scraper](https://apify.com/crawloop/draftkings-pick6-scraper?fpr=guboir) | **Player Props Scraper** ◄── you are here | [Props Board](https://apify.com/crawloop/dfs-multi-source-props-scraper?fpr=guboir) | > **Disclaimer:** This is an unofficial integration developed independently of Underdog Fantasy. It is not affiliated with, sponsored by, or endorsed by Underdog Fantasy or any of its subsidiaries. > > **Underdog Fantasy** and related names are trademarks of their respective owners. Data is read from publicly accessible web sources only; no proprietary databases are redistributed. > > This Actor is provided **for informational and research purposes only**. It does not provide betting advice. You are solely responsible for ensuring your use complies with applicable laws, platform terms of use, and your organization's policies. > > No warranty is given as to accuracy, completeness, or continued availability of third-party data. Use at your own risk. Extract live **Underdog Fantasy player props** — over/under lines, American and decimal odds, payout multipliers, matchup metadata, and MLB pitcher/weather context — across **18 leagues** with **45 structured fields** per row. Underdog aggressively protects its web surface with Cloudflare Turnstile. This Actor provides a production-ready extraction tunnel via **CloakBrowser** stealth automation, browser cURL replay, HAR ingestion, or raw JSON parsing. Output field names align with the [PrizePicks Player Props Scraper](https://apify.com/crawloop/prizepicks-player-props-scraper?fpr=guboir) for instant cross-platform joins. ### When to use this Actor Use the **Underdog Player Props Scraper** when you need Underdog-only data — higher/lower odds per side, venue and weather fields, probable MLB pitchers — without pulling other platforms. Underdog is the slowest source in the suite (15–30s for CloakBrowser collection). For all platforms in one run, use the [Multi-Source Board](https://apify.com/crawloop/dfs-multi-source-props-scraper?fpr=guboir) with `collectionMode: "sequential"` to reduce peak memory. ### DFS Props Pipeline ```` Phase 1 — Single-platform boards Phase 2 — Cross-platform compare ──────────────────────────────── ───────────────────────────────── PrizePicks Scraper ───────────────────┐ Betr Picks Scraper ───────────────────┤ Pick6 Scraper ───────────────────┼──► Multi-Source Board ──► comparisons dataset Underdog Scraper ◄── you are here ──┘ ```` ### Key Features - **Real-time odds** — American/decimal odds and payout multipliers for Higher and Lower selections. - **CloakBrowser integration** — Stealth Chromium bypasses Cloudflare Turnstile and device fingerprint checks. - **US residential proxies** — Required; Underdog blocks non-US traffic. - **MLB analytics** — Probable starting pitchers, throwing hand, venue type, weather condition and temperature. - **Multiple collection modes** — Direct automation, browser cURL replay, HAR text, or raw JSON payloads. - **Cost-optimized filters** — Sport, player, market, and team filters applied before dataset push. ### Input Parameters | Parameter | Description | Default | | :--- | :--- | :--- | | `sourceMode` | `direct`, `browser_curl`, `raw_payload`, `har_text`, `demo`. | `"direct"` | | `sports` | Underdog sport keys (e.g. `baseball_mlb`, `basketball_nba`). | — | | `playerNames` | Comma-separated names. Case-insensitive partial match. | — | | `markets` | Market keys (e.g. `player_points`, `player_hits_runs_rbis`). | — | | `teams` | Comma-separated team abbreviations or names. | — | | `maxProps` | Max output rows. | `5000` | | `curlCommand` / `rawPayload` / `harText` | Alternative input for replay modes. | — | | `proxyConfiguration` | US residential proxy required. | Apify RESIDENTIAL US | #### Input Example ```json { "sourceMode": "direct", "sports": ["baseball_mlb", "basketball_nba"], "markets": ["player_points", "player_hits_runs_rbis"], "maxProps": 5000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` ### Output Format ```json { "projection_id": "abc123", "line": 1.5, "stat": "hits_runs_rbis", "stat_display": "Hits + Runs + RBIs", "player_name": "Jose Ramirez", "player_team": "CLE", "player_position": "3B", "league": "MLB", "game_start": "2026-06-21T23:10:00Z", "home_team": "CLE", "away_team": "MIN", "higher_american_odds": "-120", "higher_decimal_odds": "1.84", "lower_american_odds": "-110", "lower_decimal_odds": "1.91", "venue_name": "Progressive Field", "venue_type": "outdoor", "weather_condition": "Clear", "home_pitcher": "Shane Bieber", "source": "underdog", "source_type": "dfs" } ``` ### Typical Workflow **1. Automated board pull** Set `sourceMode: "direct"` with US residential proxy. Schedule during game windows. **2. Fast replay from browser session** Copy a working board request as cURL from DevTools into `curlCommand` for instant Turnstile bypass. **3. Compare with PrizePicks** Run alongside [PrizePicks Player Props Scraper](https://apify.com/crawloop/prizepicks-player-props-scraper?fpr=guboir) or use the [Multi-Source Board](https://apify.com/crawloop/dfs-multi-source-props-scraper?fpr=guboir) for `line_underdog` vs `line_prizepicks` in comparison rows. ### Actor Comparison | Task | Underdog | PrizePicks | Betr | Pick6 | Multi-Source | | :--- | :---: | :---: | :---: | :---: | :---: | | American/decimal odds per side | Yes | No | No | Partial | Yes | | Venue & weather metadata | Yes | No | No | No | Yes | | MLB probable pitchers | Yes | No | No | No | Yes | | Fastest collection | No | Yes | Yes | Yes | No | | Cross-platform line spread | No | No | No | No | Yes | ### Pricing Pay-per-event billing. Filtered-out lines are not billed. | Scope | Typical cost | | :--- | :--- | | Single player filter | ~$0.00 | | WNBA + NBA board (~1,500 lines) | ~$0.07 | | Full 18-league board (~6,000 lines) | ~$0.30 | Base rate: **$0.05 / 1,000** results. ### API Integration ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("crawloop/underdog-player-props").call( run_input={"sourceMode": "direct", "sports": ["baseball_mlb"]} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["player_name"], item["line"], item["higher_american_odds"]) ``` *** **Learn more:** [Product page](https://crawloop.com/products/underdog-player-props.html) · [Suite hub](https://crawloop.com/sports-data.html) · [GitHub docs](https://github.com/PLCSPS-DEV/dfs-player-props) **Also from Crawloop:** [Industrial Automation Suite](https://crawloop.com/industrial-automation.html) # Actor input Schema ## `sourceMode` (type: `string`): Choose how the Actor will collect Underdog board data. Direct CloakBrowser automation is the recommended mode. ## `curlCommand` (type: `string`): Used by Browser cURL replay mode. Paste a working browser 'Copy as cURL' request for an Underdog board JSON endpoint. ## `curlCommands` (type: `array`): Optional extra browser cURL requests. Useful when the live board is split across multiple JSON requests. ## `rawPayload` (type: `string`): Used by Raw JSON payloads mode. Paste one full Underdog JSON response body copied from the browser network tab. ## `rawPayloads` (type: `array`): Optional extra JSON response bodies for Raw JSON payloads mode. ## `harText` (type: `string`): Used by HAR text mode. Paste the full contents of a HAR export captured from the browser network tab. ## `boardUrls` (type: `array`): Used by Direct board URLs mode. Paste one or more live Underdog JSON board URLs. ## `requestHeaders` (type: `object`): Optional custom headers for Direct board URLs mode. ## `sports` (type: `array`): Used for output filtering when the payload contains multiple sports. ## `markets` (type: `array`): Optional market filters. Leave empty to collect the full board without market filtering. ## `maxProps` (type: `integer`): Maximum number of projection records to output for the run. ## `maxPagesPerRequest` (type: `integer`): Used by Browser cURL replay mode. If the copied request supports cursor or page expansion, this limits how many pages the Actor will attempt. ## `customRecords` (type: `array`): Optional normalized records for custom or testing workflows. ## `proxyConfiguration` (type: `object`): Proxy configuration for request replay. Residential proxy with sticky sessions is recommended. ## `proxyCountryCode` (type: `string`): Country code forced for request replay and direct board URL collection. US is the recommended default. ## Actor input object example ```json { "sourceMode": "direct", "curlCommand": "", "curlCommands": [], "rawPayload": "", "rawPayloads": [], "harText": "", "boardUrls": [], "requestHeaders": {}, "sports": [ "basketball_nba", "baseball_mlb", "americanfootball_nfl", "hockey_nhl", "basketball_wnba" ], "markets": [ "player_points", "player_rebounds", "player_assists", "player_points_rebounds_assists", "player_threes", "player_hits_runs_rbis", "player_total_bases", "player_home_runs", "player_strikeouts", "player_passing_yards", "player_rushing_yards", "player_receiving_yards" ], "maxProps": 5000, "maxPagesPerRequest": 25, "customRecords": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" }, "proxyCountryCode": "US" } ``` # 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 = { "sports": [ "basketball_nba", "baseball_mlb", "americanfootball_nfl", "hockey_nhl", "basketball_wnba" ], "markets": [ "player_points", "player_rebounds", "player_assists", "player_points_rebounds_assists", "player_threes", "player_hits_runs_rbis", "player_total_bases", "player_home_runs", "player_strikeouts", "player_passing_yards", "player_rushing_yards", "player_receiving_yards" ] }; // Run the Actor and wait for it to finish const run = await client.actor("crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds").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 = { "sports": [ "basketball_nba", "baseball_mlb", "americanfootball_nfl", "hockey_nhl", "basketball_wnba", ], "markets": [ "player_points", "player_rebounds", "player_assists", "player_points_rebounds_assists", "player_threes", "player_hits_runs_rbis", "player_total_bases", "player_home_runs", "player_strikeouts", "player_passing_yards", "player_rushing_yards", "player_receiving_yards", ], } # Run the Actor and wait for it to finish run = client.actor("crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds").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 '{ "sports": [ "basketball_nba", "baseball_mlb", "americanfootball_nfl", "hockey_nhl", "basketball_wnba" ], "markets": [ "player_points", "player_rebounds", "player_assists", "player_points_rebounds_assists", "player_threes", "player_hits_runs_rbis", "player_total_bases", "player_home_runs", "player_strikeouts", "player_passing_yards", "player_rushing_yards", "player_receiving_yards" ] }' | apify call crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawloop/underdog-fantasy-player-props-scraper-real-time-lines-odds", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Underdog Fantasy Player Props Scraper", "description": "Scrape live Underdog Fantasy player props — over/under lines, American/decimal odds, pitchers, and weather across 18 leagues. Part of Crawloop DFS Props Suite.", "version": "1.1", "x-build-id": "pIn3wRUfAYXIoKYmW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawloop~underdog-fantasy-player-props-scraper-real-time-lines-odds/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawloop-underdog-fantasy-player-props-scraper-real-time-lines-odds", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawloop~underdog-fantasy-player-props-scraper-real-time-lines-odds/runs": { "post": { "operationId": "runs-sync-crawloop-underdog-fantasy-player-props-scraper-real-time-lines-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawloop~underdog-fantasy-player-props-scraper-real-time-lines-odds/run-sync": { "post": { "operationId": "run-sync-crawloop-underdog-fantasy-player-props-scraper-real-time-lines-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sourceMode": { "title": "Source Mode", "enum": [ "direct", "browser_curl", "raw_payload", "har_text", "demo", "custom_records" ], "type": "string", "description": "Choose how the Actor will collect Underdog board data. Direct CloakBrowser automation is the recommended mode.", "default": "direct" }, "curlCommand": { "title": "Browser cURL Command", "type": "string", "description": "Used by Browser cURL replay mode. Paste a working browser 'Copy as cURL' request for an Underdog board JSON endpoint.", "default": "" }, "curlCommands": { "title": "Additional Browser cURL Commands", "type": "array", "description": "Optional extra browser cURL requests. Useful when the live board is split across multiple JSON requests.", "default": [], "items": { "type": "string" } }, "rawPayload": { "title": "Raw JSON Payload", "type": "string", "description": "Used by Raw JSON payloads mode. Paste one full Underdog JSON response body copied from the browser network tab.", "default": "" }, "rawPayloads": { "title": "Additional Raw JSON Payloads", "type": "array", "description": "Optional extra JSON response bodies for Raw JSON payloads mode.", "default": [], "items": { "type": "string" } }, "harText": { "title": "HAR Text", "type": "string", "description": "Used by HAR text mode. Paste the full contents of a HAR export captured from the browser network tab.", "default": "" }, "boardUrls": { "title": "Direct Board URLs", "type": "array", "description": "Used by Direct board URLs mode. Paste one or more live Underdog JSON board URLs.", "default": [], "items": { "type": "string" } }, "requestHeaders": { "title": "Request Headers", "type": "object", "description": "Optional custom headers for Direct board URLs mode.", "default": {} }, "sports": { "title": "Sports", "type": "array", "description": "Used for output filtering when the payload contains multiple sports.", "default": [ "basketball_nba", "baseball_mlb", "americanfootball_nfl" ], "items": { "type": "string" } }, "markets": { "title": "Player Prop Markets", "type": "array", "description": "Optional market filters. Leave empty to collect the full board without market filtering.", "default": [], "items": { "type": "string" } }, "maxProps": { "title": "Max Props", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of projection records to output for the run.", "default": 5000 }, "maxPagesPerRequest": { "title": "Max Pages Per Request", "minimum": 1, "maximum": 100, "type": "integer", "description": "Used by Browser cURL replay mode. If the copied request supports cursor or page expansion, this limits how many pages the Actor will attempt.", "default": 25 }, "customRecords": { "title": "Custom Records", "type": "array", "description": "Optional normalized records for custom or testing workflows.", "default": [] }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration for request replay. Residential proxy with sticky sessions is recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }, "proxyCountryCode": { "title": "Proxy Country Code", "type": "string", "description": "Country code forced for request replay and direct board URL collection. US is the recommended default.", "default": "US" } } }, "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 } } } } } } } } } } ```