# Booking.com Hotels Scraper - Worldwide Search & Categories (`lentic_clockss/booking-hotels-scraper`) Actor Scrape Booking.com hotel search results for any destination worldwide. Extract names, prices, ratings, locations, room types, and listing links. Filter by property category or leave empty for all types. - **URL**: https://apify.com/lentic\_clockss/booking-hotels-scraper.md - **Developed by:** [kane liu](https://apify.com/lentic_clockss) (community) - **Categories:** Travel, Lead generation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Booking.com Hotels Scraper **Scrape Booking.com search results for any destination worldwide** — prices, ratings, locations, and listing links in structured JSON. Filter by property category, stars, review score, and free cancellation. No Booking partner API required. ### What does this Actor do? - Search **Booking.com** stays for cities, regions, countries, or landmarks worldwide - Resolve destinations via Booking autocomplete (`dest_id` / `dest_type`) when possible; falls back to free-text `ss=` search if autocomplete is unavailable - Filter by **property types** (empty = all), **stars**, **min review score**, and **free cancellation** - Support **children** / **child ages** in the search URL - Sort by popularity, price, reviews, stars, or distance - Extract **hotelId, name, price, total price (when shown), rating, review count, location, room type, and image** - Paginate up to your `maxResults` limit with headed Chrome + sticky Apify RESIDENTIAL proxies (never unproxied) ### Output fields | Field | Description | | --- | --- | | `source` | Always `booking` | | `hotelId` | Stable id from URL/card when available (e.g. `sg/marina-bay-sands`) | | `name` | Property name | | `url` | Booking.com listing URL | | `price` | Nightly / primary displayed price (when available) | | `totalPrice` | Total stay price when visible on the search card | | `currency` | ISO currency code | | `rating` | Numeric review score (typically 1–10) | | `ratingText` | Raw rating text from the card | | `reviewCount` | Number of reviews | | `propertyType` | Inferred type (Hotel, Apartment, Hostel, …) | | `location` | Neighborhood / area text | | `distanceFromCenter` | Distance-from-center text | | `imageUrl` | Primary card image | | `roomType` | Recommended unit / room text | | `amenities` | Amenity labels when present on SERP (often empty) | | `destination` / `checkin` / `checkout` | Echoed from the search input when set | | `scrapedAt` | ISO timestamp | ### How to use 1. Enter a **destination** (city, region, country, or landmark — e.g. `Tokyo`, `France`, `near Times Square`) 2. Set **check-in** / **check-out** (`YYYY-MM-DD`) for accurate prices 3. Optionally choose **property types**, stars, review score, sort, language, currency, and proxy country 4. Click **Start** — results appear in the Dataset tab #### Example: worldwide city search ```json { "destination": "Tokyo", "checkin": "2026-08-01", "checkout": "2026-08-03", "adults": 2, "maxResults": 20, "currency": "USD", "lang": "en-us", "proxyCountry": "JP" } ```` #### Example: apartments only in Paris ```json { "destination": "Paris", "checkin": "2026-08-01", "checkout": "2026-08-05", "adults": 2, "propertyTypes": ["apartment"], "sort": "price", "maxResults": 30, "currency": "EUR", "lang": "en-us", "proxyCountry": "FR" } ``` #### Example: family stay with filters ```json { "destination": "Singapore", "checkin": "2026-08-01", "checkout": "2026-08-03", "adults": 2, "children": 1, "childAges": [8], "stars": [4, 5], "minReviewScore": 8.0, "freeCancellation": true, "propertyTypes": ["hotel"], "maxResults": 20, "currency": "SGD", "proxyCountry": "SG" } ``` Leaving `propertyTypes` empty means **all accommodation categories**. #### Example output ```json { "source": "booking", "hotelId": "fr/negresco", "name": "Hotel Negresco Nice", "url": "https://www.booking.com/hotel/fr/negresco.html", "price": 312.0, "totalPrice": 1248.0, "currency": "USD", "rating": 8.7, "ratingText": "Fabulous", "reviewCount": 4521, "propertyType": "Hotel", "location": "Promenade des Anglais, Nice", "distanceFromCenter": "1.2 km from center", "imageUrl": "https://cf.bstatic.com/xdata/images/hotel/square200/12345.webp", "roomType": "Superior Double Room", "amenities": [], "destination": "Nice", "checkin": "2026-08-01", "checkout": "2026-08-05", "scrapedAt": "2026-07-20T05:00:00Z" } ``` ### Input | Field | Type | Default | Notes | | --- | --- | --- | --- | | `destination` | string | `Singapore` | City / region / country / landmark | | `checkin` / `checkout` | string | *(empty)* | `YYYY-MM-DD` | | `adults` | integer | `2` | 1–10 | | `children` | integer | `0` | 0–10 | | `childAges` | integer\[] | `[]` | Ages 0–17; padded to `children` | | `rooms` | integer | `1` | 1–10 | | `maxResults` | integer | `50` | 1–500 | | `currency` | string | `USD` | ISO code + `cur_curr` cookie | | `lang` | string | `en-us` | UI language tag | | `sort` | enum | `popularity` | popularity, price, review\_score, … | | `propertyTypes` | string\[] | `[]` | Empty = all categories | | `stars` | integer\[] | `[]` | 1–5 → `class=` filters | | `minReviewScore` | number | *(null)* | 0–10 → `review_score=` tenths | | `freeCancellation` | boolean | `false` | → `oos=1` | | `destId` / `destType` | string | *(empty)* | Skip autocomplete when both set | | `customNfltFilters` | string\[] | `[]` | Raw `nflt` fragments | | `proxyCountry` | string | *(empty)* | RESIDENTIAL country (default US) | | `proxy` | object | *(none)* | Optional Apify proxy editor | #### Supported property types `hotel`, `apartment`, `hostel`, `motel`, `resort`, `bed_and_breakfast`, `villa`, `guesthouse`, `holiday_home`, `aparthotel`, `lodge`, `homestay`, `country_house`, `capsule_hotel`, `campground`, `inn`, `ryokan`, `riad`, `chalet`, `holiday_park`, `tent`, `love_hotel`, `pension` ### Limits & notes - **SERP only** — no detail-page enrichment; amenities/`totalPrice` are often empty on cards - **Autocomplete** — tries API + UI suggestion fallback; if both fail, search continues with free-text `ss=` (`destSource:query_only` in warnings) - **Proxy required** — sticky RESIDENTIAL is mandatory; the Actor does not fall back to direct/unproxied browsing - **Anti-bot** — headed Chrome + Xvfb; Cloudflare challenges are waited on and fail the page/attempt if unresolved (no CapSolver) ### Diagnostics Each run writes: - `INPUT_ECHO` — sanitized input including resolved `destId`/`destType` and `nflt` - `RUN_SUMMARY` — status, counters, field completeness, warnings (`destSource:…`, proxy mode, etc.) - `ERROR_SUMMARY` — written only on hard failures Statuses: `ok` | `partial` | `blocked`. ### Pricing This Actor uses **Pay per event** pricing. Platform usage costs are paid by the Actor developer (not passed to the user). | Event | Price | | --- | --- | | `apify-actor-start` (Actor Start) | $0.005 per start (memory-scaled) | | `apify-default-dataset-item` (Result) | $3.00 / 1,000 listings ($0.003 each) | ### FAQ **Can I search any country?**\ Yes. Enter a city, region, or country name. The Actor tries Booking autocomplete for `dest_id`; if that fails it still searches with the destination text. Inventory is global on `www.booking.com`. **What does empty propertyTypes mean?**\ All categories — hotels, apartments, hostels, and other accommodation types shown on the SERP. **Do I need a Booking.com account?**\ No. **Are amenities always filled?**\ No. This Actor scrapes search results only; amenities are often absent on SERP cards. ### Related Actors - [Booking.com & Airbnb Scraper](https://apify.com/lentic_clockss/booking-airbnb-scraper) — dual-platform comparison - Browse more: [apify.com/lentic\_clockss](https://apify.com/lentic_clockss) # Actor input Schema ## `destination` (type: `string`): City, region, country, area, or landmark (e.g. 'Tokyo', 'France', 'near Times Square'). Resolved via Booking autocomplete when destId is empty. ## `checkin` (type: `string`): Check-in date in YYYY-MM-DD format. Strongly recommended for accurate pricing. ## `checkout` (type: `string`): Check-out date in YYYY-MM-DD format. ## `adults` (type: `integer`): Number of adult guests. ## `children` (type: `integer`): Number of children. When set without childAges, ages default to 8. ## `childAges` (type: `array`): Ages for each child (0–17). Length should match children; padded/truncated automatically. ## `rooms` (type: `integer`): Number of rooms (Booking.com no\_rooms). ## `maxResults` (type: `integer`): Maximum number of listings to scrape. Default 50. ## `currency` (type: `string`): Preferred ISO currency code (e.g. 'USD', 'EUR', 'SGD'). Passed as selected\_currency and cur\_curr cookie. ## `lang` (type: `string`): Booking.com UI language tag (e.g. 'en-us', 'en-gb', 'de', 'fr', 'ja'). ## `sort` (type: `string`): SERP sort order. ## `propertyTypes` (type: `array`): Accommodation categories to include. Empty = all categories. Maps to Booking.com ht\_id filters. ## `stars` (type: `array`): Hotel star classes to include (1–5). Maps to nflt class= filters. ## `minReviewScore` (type: `number`): Minimum guest review score (0–10). Leave empty for no filter. Maps to Booking review\_score in tenths (e.g. 8.0 → 80). ## `freeCancellation` (type: `boolean`): When true, only listings with free cancellation (nflt oos=1). ## `destId` (type: `string`): Optional Booking dest\_id from autocomplete. When set with destType, skips autocomplete. ## `destType` (type: `string`): Optional Booking dest\_type (city, region, country, landmark, airport, district, hotel, coordinates). ## `customNfltFilters` (type: `array`): Raw Booking.com nflt fragments (e.g. 'class=5', 'oos=1', 'review\_score=80'). Merged with propertyTypes. ## `proxyCountry` (type: `string`): ISO country code for sticky RESIDENTIAL proxy (e.g. 'US', 'JP', 'FR'). Defaults to US when empty. ## `proxy` (type: `object`): Optional Apify proxy configuration. When omitted, the Actor uses sticky RESIDENTIAL proxies by default. ## Actor input object example ```json { "destination": "Singapore", "checkin": "2026-08-01", "checkout": "2026-08-03", "adults": 2, "children": 0, "childAges": [], "rooms": 1, "maxResults": 50, "currency": "USD", "lang": "en-us", "sort": "popularity", "propertyTypes": [], "stars": [], "freeCancellation": false, "destId": "", "destType": "", "customNfltFilters": [], "proxyCountry": "" } ``` # Actor output Schema ## `accommodations` (type: `string`): Dataset containing all scraped hotel records. ## `runSummary` (type: `string`): Key-value store record with run counters, selected input, proxy state, and completion timestamp. ## `inputEcho` (type: `string`): Key-value store record containing the sanitized input used by this run. ## `errorSummary` (type: `string`): Key-value store record containing controlled error details when the Actor cannot complete the requested scrape. # 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 = { "destination": "Singapore" }; // Run the Actor and wait for it to finish const run = await client.actor("lentic_clockss/booking-hotels-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 = { "destination": "Singapore" } # Run the Actor and wait for it to finish run = client.actor("lentic_clockss/booking-hotels-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 '{ "destination": "Singapore" }' | apify call lentic_clockss/booking-hotels-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lentic_clockss/booking-hotels-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Hotels Scraper - Worldwide Search & Categories", "description": "Scrape Booking.com hotel search results for any destination worldwide. Extract names, prices, ratings, locations, room types, and listing links. Filter by property category or leave empty for all types.", "version": "0.1", "x-build-id": "rsR2HCRHEH92D8lvl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lentic_clockss~booking-hotels-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lentic_clockss-booking-hotels-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lentic_clockss~booking-hotels-scraper/runs": { "post": { "operationId": "runs-sync-lentic_clockss-booking-hotels-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lentic_clockss~booking-hotels-scraper/run-sync": { "post": { "operationId": "run-sync-lentic_clockss-booking-hotels-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "destination": { "title": "Destination", "type": "string", "description": "City, region, country, area, or landmark (e.g. 'Tokyo', 'France', 'near Times Square'). Resolved via Booking autocomplete when destId is empty.", "default": "Singapore" }, "checkin": { "title": "Check-in Date", "type": "string", "description": "Check-in date in YYYY-MM-DD format. Strongly recommended for accurate pricing.", "default": "" }, "checkout": { "title": "Check-out Date", "type": "string", "description": "Check-out date in YYYY-MM-DD format.", "default": "" }, "adults": { "title": "Number of Adults", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of adult guests.", "default": 2 }, "children": { "title": "Number of Children", "minimum": 0, "maximum": 10, "type": "integer", "description": "Number of children. When set without childAges, ages default to 8.", "default": 0 }, "childAges": { "title": "Child Ages", "type": "array", "description": "Ages for each child (0–17). Length should match children; padded/truncated automatically.", "items": { "type": "integer", "minimum": 0, "maximum": 17 }, "default": [] }, "rooms": { "title": "Number of Rooms", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of rooms (Booking.com no_rooms).", "default": 1 }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of listings to scrape. Default 50.", "default": 50 }, "currency": { "title": "Currency", "type": "string", "description": "Preferred ISO currency code (e.g. 'USD', 'EUR', 'SGD'). Passed as selected_currency and cur_curr cookie.", "default": "USD" }, "lang": { "title": "Language", "type": "string", "description": "Booking.com UI language tag (e.g. 'en-us', 'en-gb', 'de', 'fr', 'ja').", "default": "en-us" }, "sort": { "title": "Sort", "enum": [ "popularity", "price", "review_score", "review_and_price", "stars_desc", "stars_asc", "distance", "homes_first" ], "type": "string", "description": "SERP sort order.", "default": "popularity" }, "propertyTypes": { "title": "Property Types", "type": "array", "description": "Accommodation categories to include. Empty = all categories. Maps to Booking.com ht_id filters.", "items": { "type": "string", "enum": [ "hotel", "apartment", "hostel", "motel", "resort", "bed_and_breakfast", "villa", "guesthouse", "holiday_home", "aparthotel", "lodge", "homestay", "country_house", "capsule_hotel", "campground", "inn", "ryokan", "riad", "chalet", "holiday_park", "tent", "love_hotel", "pension" ] }, "default": [] }, "stars": { "title": "Star Ratings", "type": "array", "description": "Hotel star classes to include (1–5). Maps to nflt class= filters.", "items": { "type": "integer", "minimum": 1, "maximum": 5 }, "default": [] }, "minReviewScore": { "title": "Minimum Review Score", "minimum": 0, "maximum": 10, "type": "number", "description": "Minimum guest review score (0–10). Leave empty for no filter. Maps to Booking review_score in tenths (e.g. 8.0 → 80)." }, "freeCancellation": { "title": "Free Cancellation Only", "type": "boolean", "description": "When true, only listings with free cancellation (nflt oos=1).", "default": false }, "destId": { "title": "Destination ID", "type": "string", "description": "Optional Booking dest_id from autocomplete. When set with destType, skips autocomplete.", "default": "" }, "destType": { "title": "Destination Type", "enum": [ "", "city", "region", "country", "landmark", "airport", "district", "hotel", "coordinates" ], "type": "string", "description": "Optional Booking dest_type (city, region, country, landmark, airport, district, hotel, coordinates).", "default": "" }, "customNfltFilters": { "title": "Custom nflt Filters", "type": "array", "description": "Raw Booking.com nflt fragments (e.g. 'class=5', 'oos=1', 'review_score=80'). Merged with propertyTypes.", "items": { "type": "string" }, "default": [] }, "proxyCountry": { "title": "Proxy Country", "type": "string", "description": "ISO country code for sticky RESIDENTIAL proxy (e.g. 'US', 'JP', 'FR'). Defaults to US when empty.", "default": "" }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify proxy configuration. When omitted, the Actor uses sticky RESIDENTIAL proxies by default." } } }, "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 } } } } } } } } } } ```