# Ryanair Flight Price Scraper (`automation-lab/ryanair-flight-price-scraper`) Actor Track Ryanair fares by route and date. Extract public price, currency, departure time, arrival time, sold-out, and availability rows. - **URL**: https://apify.com/automation-lab/ryanair-flight-price-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Ryanair Flight Price Scraper Track public Ryanair fare calendar prices, dates, route availability, and currency data from Ryanair's public flight endpoints. ### What does Ryanair Flight Price Scraper do? Ryanair Flight Price Scraper extracts public fare calendar rows for Ryanair routes. It is designed for scheduled flight-price monitoring, price-drop alerts, competitor fare tracking, and route availability checks. You provide a departure airport, optional arrival airport, and date range. The Actor returns structured fare rows with route, date, departure time, arrival time, price, currency, and availability flags. Schedule it on Apify to watch the same Ryanair route daily, then send lower fares to Google Sheets, Telegram, Slack, n8n, webhooks, or your own alerting backend. ### Who is it for? Travel data teams use it to monitor low-cost airline fare changes. Tour operators use it to benchmark package holiday flight inputs. Revenue analysts use it to compare fare movement across city pairs. Travel bloggers use it to discover low-price dates for destination guides. Developers use it to feed flight-price dashboards and alerts. Agencies use it to automate recurring route checks without maintaining Ryanair API code. ### Why use this scraper? ✅ Direct Ryanair source data. ✅ HTTP-only implementation, no browser overhead. ✅ Route discovery from public Ryanair airport metadata. ✅ Date-range filtering for clean datasets. ✅ Currency and airport metadata enrichment. ✅ Per-row pricing for predictable costs. ✅ Outputs ready for CSV, JSON, Excel, BigQuery, or API workflows. ### What data can you extract? | Field | Description | | --- | --- | | `departureAirport` | Origin IATA code | | `departureAirportName` | Public Ryanair airport name | | `departureCity` | Origin city code | | `departureCountry` | Origin country code | | `arrivalAirport` | Destination IATA code | | `arrivalAirportName` | Destination airport name | | `arrivalCity` | Destination city code | | `arrivalCountry` | Destination country code | | `date` | Fare calendar date | | `departureDate` | Departure timestamp when available | | `arrivalDate` | Arrival timestamp when available | | `price` | Fare value | | `currency` | Fare currency code | | `currencySymbol` | Currency symbol | | `previousPrice` | Previous fare value when Ryanair exposes it | | `soldOut` | Whether the date is sold out | | `unavailable` | Whether the date is unavailable | | `newRoute` | Whether Ryanair marks it as a new route | | `sourceUrl` | Ryanair booking URL for the route/date | | `scrapedAt` | Scrape timestamp | ### How much does it cost to scrape Ryanair flight prices? This Actor uses pay-per-event pricing. There is a small start event and a per-fare-row event. The accepted platform BRONZE tier is $0.05 per 1,000 fare rows, with tier discounts down to $0.014 per 1,000 rows at DIAMOND. Actual platform pricing is shown on the Apify Store pricing tab. Use a short date range first if you want a very small test run. ### Quick start 1. Open the Actor on Apify. 2. Set `departureIata` to a Ryanair airport such as `DUB`. 3. Set `arrivalIata` to a destination such as `STN`. 4. Choose `dateFrom` and `dateTo`. 5. Keep `maxResults` low for your first run. 6. Click **Start**. 7. Download the dataset as JSON, CSV, Excel, XML, or HTML. ### Input configuration ```json { "departureIata": "DUB", "arrivalIata": "STN", "dateFrom": "2026-06-04", "dateTo": "2026-06-18", "currency": "EUR", "market": "en-gb", "language": "en", "maxResults": 50, "maxRoutes": 10, "includeUnavailable": false } ```` ### Input fields explained `departureIata` is required and must be a three-letter airport code. `arrivalIata` is optional; when empty, the Actor discovers Ryanair routes from the departure airport. `dateFrom` and `dateTo` define the inclusive calendar range. `currency` controls the fare currency requested from Ryanair. `market` controls the Ryanair market locale. `language` controls airport metadata language. `maxResults` caps saved fare rows. `maxRoutes` caps route discovery mode. `includeUnavailable` saves sold-out and unavailable dates with null prices when enabled. ### Output example ```json { "departureAirport": "DUB", "departureAirportName": "Dublin", "departureCity": "DUBLIN", "departureCountry": "ie", "arrivalAirport": "STN", "arrivalAirportName": "London Stansted", "arrivalCity": "LONDON", "arrivalCountry": "gb", "date": "2026-06-06", "departureDate": "2026-06-06T20:00:00", "arrivalDate": "2026-06-06T21:20:00", "flightNumber": null, "flightKey": null, "price": 69.99, "currency": "EUR", "currencySymbol": "€", "previousPrice": null, "soldOut": false, "unavailable": false, "newRoute": false, "sourceUrl": "https://www.ryanair.com/en-gb/trip/flights/select?...", "scrapedAt": "2026-06-04T08:00:00.000Z" } ``` ### Route discovery mode Leave `arrivalIata` empty to scan multiple public Ryanair routes from one departure airport. The Actor reads Ryanair airport metadata and extracts `airport:XXX` routes. Use `maxRoutes` to keep the run bounded. This is useful for finding all cheap outgoing routes from one airport. For precise monitoring, provide a single `arrivalIata`. ### Date range tips Ryanair's fare calendar endpoint is monthly. The Actor requests each month touched by your date range. Short ranges finish faster. Long ranges create more fare rows. If you need a year of prices, increase `maxResults` accordingly. If you only need bookable prices, keep `includeUnavailable` disabled. ### Common use cases 🛫 Monitor DUB to STN fares every morning. 💶 Compare low-cost route prices across several destinations. 📉 Detect price drops for a travel newsletter. 📊 Build a historical fare dataset in your own database. 🧭 Discover Ryanair destinations from a departure airport. 🔔 Trigger alerts when fares fall below a threshold. ### Integrations Send dataset items to Google Sheets for analysts. Push JSON rows to a webhook for alerting. Create n8n workflows that run this Actor on a schedule, compare today's fare rows with a saved threshold, and send price-drop alerts to Telegram, email, Slack, Discord, or a CRM. Load CSV exports into a BI dashboard. Use Apify integrations to sync with Make, Zapier, or custom APIs. Schedule daily runs and compare new prices with yesterday's dataset. Use the Apify API to run this Actor from your own booking-monitoring backend. ### API usage with Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/ryanair-flight-price-scraper').call({ departureIata: 'DUB', arrivalIata: 'STN', dateFrom: '2026-06-04', dateTo: '2026-06-18', maxResults: 50 }); console.log(run.defaultDatasetId); ``` ### API usage with Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("automation-lab/ryanair-flight-price-scraper").call(run_input={ "departureIata": "DUB", "arrivalIata": "STN", "dateFrom": "2026-06-04", "dateTo": "2026-06-18", "maxResults": 50, }) print(run["defaultDatasetId"]) ``` ### API usage with cURL ```bash curl -X POST "https://api.apify.com/v2/acts/automation-lab~ryanair-flight-price-scraper/runs?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"departureIata":"DUB","arrivalIata":"STN","dateFrom":"2026-06-04","dateTo":"2026-06-18","maxResults":50}' ``` ### MCP usage Use this Actor through Apify MCP from Claude Code or Claude Desktop. MCP URL: ```text https://mcp.apify.com/?tools=automation-lab/ryanair-flight-price-scraper ``` Add it in Claude Code with: ```bash claude mcp add apify-ryanair-flight-price-scraper https://mcp.apify.com/?tools=automation-lab/ryanair-flight-price-scraper ``` Claude Desktop MCP JSON configuration: ```json { "mcpServers": { "apify-ryanair-flight-price-scraper": { "url": "https://mcp.apify.com/?tools=automation-lab/ryanair-flight-price-scraper" } } } ``` Example prompts: - "Run Ryanair Flight Price Scraper for DUB to STN next week and summarize the cheapest dates." - "Check Ryanair fares from BGY to MAD for the next 30 days and return CSV-ready rows." - "Find available Ryanair fare dates from Dublin to London Stansted under 100 EUR." ### Scheduling and monitoring Create an Apify schedule for recurring monitoring. Run the same input daily or weekly. Compare datasets by route and date. Send price changes to a webhook, Telegram bot, Google Sheet, or n8n automation. Use a threshold rule such as "alert me when DUB → STN drops below €50" to power simple fare alerts without maintaining Ryanair API code. Store historical rows in your warehouse. Keep `maxResults` high enough for your full route/date range. ### Data quality notes Ryanair's public fare calendar may expose one cheapest fare per date rather than every flight option. Flight-level identifiers are included as nullable fields because the calendar endpoint does not always expose them. Unavailable dates can be skipped or saved depending on your input. Prices and availability can change quickly. Always treat fare data as a snapshot at `scrapedAt`. ### Troubleshooting If you get no results, verify the route exists on Ryanair. If prices are null, disable `includeUnavailable` or choose a bookable date range. If route discovery returns fewer routes than expected, provide `arrivalIata` directly. If the currency is unexpected, set `currency` explicitly. If the run stops early, increase `maxResults`. ### Limits and anti-bot approach The Actor uses conservative HTTP requests and browser-like headers. It does not use Playwright. It does not require a Ryanair account. It relies on public endpoints that may change. If Ryanair changes its API, the Actor may need an update. ### Legality This Actor extracts publicly available fare information. ### Is it legal to scrape Ryanair flight prices? This Actor extracts publicly available fare information. You should use the data responsibly. Review Ryanair's terms and your local laws before using scraped data commercially. Do not use the Actor for abusive traffic, resale that violates terms, or personal data extraction. Consult legal counsel if you are unsure. ### Related scrapers Explore related Apify actors by automation-lab: - https://apify.com/automation-lab/google-flights-scraper - https://apify.com/automation-lab/booking-scraper - https://apify.com/automation-lab/tripadvisor-scraper - https://apify.com/automation-lab/google-maps-scraper ### FAQ #### Can I scan all destinations from one airport? Yes. Leave `arrivalIata` empty and set `maxRoutes` to the number of routes you want to scan. #### Does it return every Ryanair flight? No. The MVP returns public fare calendar rows, usually the cheapest visible fare for a route/date. #### Can I include sold-out dates? Yes. Set `includeUnavailable` to true. #### Can I change the currency? Yes. Set `currency` to values such as `EUR`, `GBP`, or another supported Ryanair currency. #### Can I schedule daily monitoring? Yes. Use Apify schedules and compare datasets across runs. ### Version notes Initial version focuses on public one-way fare calendar data. Round-trip and flight-level availability can be added later if a stable public endpoint supports it. The Actor keeps nullable `flightNumber` and `flightKey` fields for future compatibility. ### Support If the Actor stops returning expected Ryanair fare rows, open an issue with your input JSON, run ID, and an example route/date. # Actor input Schema ## `departureIata` (type: `string`): Three-letter Ryanair departure airport code, for example DUB, STN, BGY, or MAD. ## `arrivalIata` (type: `string`): Three-letter arrival airport code. Leave empty to scan public Ryanair routes from the departure airport up to Max routes. ## `dateFrom` (type: `string`): First departure date to include, in YYYY-MM-DD format. ## `dateTo` (type: `string`): Last departure date to include, in YYYY-MM-DD format. ## `maxResults` (type: `integer`): Maximum number of fare rows to save. ## `maxRoutes` (type: `integer`): Safety cap for route discovery mode. Ignored when Arrival airport IATA is provided. ## `currency` (type: `string`): Fare currency code. Defaults to the departure airport currency when available. ## `market` (type: `string`): Ryanair market used by the fare endpoint, for example en-gb, en-ie, es-es, or de-de. ## `language` (type: `string`): Language code for airport metadata names. ## `includeUnavailable` (type: `boolean`): Save calendar rows even when Ryanair marks the date unavailable or sold out. Prices may be null for these rows. ## Actor input object example ```json { "departureIata": "DUB", "arrivalIata": "STN", "dateFrom": "2026-07-01", "dateTo": "2026-07-15", "maxResults": 20, "maxRoutes": 10, "currency": "EUR", "market": "en-gb", "language": "en", "includeUnavailable": false } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "departureIata": "DUB", "arrivalIata": "STN", "dateFrom": "2026-07-01", "dateTo": "2026-07-15", "maxResults": 20, "maxRoutes": 10, "currency": "EUR", "market": "en-gb", "language": "en", "includeUnavailable": false }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/ryanair-flight-price-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 = { "departureIata": "DUB", "arrivalIata": "STN", "dateFrom": "2026-07-01", "dateTo": "2026-07-15", "maxResults": 20, "maxRoutes": 10, "currency": "EUR", "market": "en-gb", "language": "en", "includeUnavailable": False, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/ryanair-flight-price-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 '{ "departureIata": "DUB", "arrivalIata": "STN", "dateFrom": "2026-07-01", "dateTo": "2026-07-15", "maxResults": 20, "maxRoutes": 10, "currency": "EUR", "market": "en-gb", "language": "en", "includeUnavailable": false }' | apify call automation-lab/ryanair-flight-price-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/ryanair-flight-price-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ryanair Flight Price Scraper", "description": "Track Ryanair fares by route and date. Extract public price, currency, departure time, arrival time, sold-out, and availability rows.", "version": "0.1", "x-build-id": "NySjTMFiawWXUAY7e" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~ryanair-flight-price-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-ryanair-flight-price-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/automation-lab~ryanair-flight-price-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-ryanair-flight-price-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/automation-lab~ryanair-flight-price-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-ryanair-flight-price-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": [ "departureIata", "dateFrom", "dateTo" ], "properties": { "departureIata": { "title": "Departure airport IATA", "minLength": 3, "maxLength": 3, "type": "string", "description": "Three-letter Ryanair departure airport code, for example DUB, STN, BGY, or MAD." }, "arrivalIata": { "title": "Arrival airport IATA (optional)", "minLength": 3, "maxLength": 3, "type": "string", "description": "Three-letter arrival airport code. Leave empty to scan public Ryanair routes from the departure airport up to Max routes." }, "dateFrom": { "title": "Date from", "type": "string", "description": "First departure date to include, in YYYY-MM-DD format." }, "dateTo": { "title": "Date to", "type": "string", "description": "Last departure date to include, in YYYY-MM-DD format." }, "maxResults": { "title": "Maximum fare rows", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of fare rows to save.", "default": 20 }, "maxRoutes": { "title": "Maximum routes when arrival is empty", "minimum": 1, "maximum": 200, "type": "integer", "description": "Safety cap for route discovery mode. Ignored when Arrival airport IATA is provided.", "default": 10 }, "currency": { "title": "Currency", "type": "string", "description": "Fare currency code. Defaults to the departure airport currency when available." }, "market": { "title": "Market / locale", "type": "string", "description": "Ryanair market used by the fare endpoint, for example en-gb, en-ie, es-es, or de-de.", "default": "en-gb" }, "language": { "title": "Airport language", "type": "string", "description": "Language code for airport metadata names.", "default": "en" }, "includeUnavailable": { "title": "Include unavailable and sold-out dates", "type": "boolean", "description": "Save calendar rows even when Ryanair marks the date unavailable or sold out. Prices may be null for these rows.", "default": 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 } } } } } } } } } } ```