# Booking.com Latin America Scraper (`viralanalyzer/booking-com-latam`) Actor Extract Booking.com hotel and accommodation listings across Latin America: prices, ratings, reviews, room types, amenities and location for BR, MX, AR, CO, CL, PE. - **URL**: https://apify.com/viralanalyzer/booking-com-latam.md - **Developed by:** [viralanalyzer](https://apify.com/viralanalyzer) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 accommodation scrapeds 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 ## Booking.com Latin America Scraper 🏨 Hotels, Apartments & Reviews [English](#english) | [Português](#portugues) --- ### English Extract comprehensive accommodation and hotel listings from **Booking.com** across Latin America (Brazil, Mexico, Argentina, Colombia, Chile, Peru, and more) with ease. Capture rates, user ratings, review counts, coordinates, distance to center, and room details. This Actor uses **Pay-Per-Event (PPE)** pricing, meaning you only pay for the real data you actually extract — **no monthly subscriptions or upfront fees required**. #### Features - 🌎 **Latin America Coverage**: Optimized for destinations across Central and South America. - 🏢 **All Accommodation Types**: Extracts Hotels, Hostels, Apartments, Resorts, and Guesthouses. - 💰 **Pay-Per-Event Billing**: Only $0.005 per extracted accommodation. Immediate billing, zero free-trial delays. - 🛡️ **IP Reputation Bypass**: Works flawlessly using Apify's default automatic proxy rotation. - ⚡ **Rich Structured Data**: Extracts ID, name, price, rating, total review count, room type, full address, distance from center, key amenities, and photos. #### Input Parameters | Field | Type | Description | Default | |---|---|---|---| | `url` | String | Direct Booking.com search URL. Overrides other filters. | `""` | | `location` | String | City or destination slug (e.g. `Sao Paulo`, `Cancun`, `Buenos Aires`). | `"Sao Paulo"` | | `checkin` | String | Optional check-in date in YYYY-MM-DD format. | *None* | | `checkout` | String | Optional check-out date in YYYY-MM-DD format. | *None* | | `guests` | Integer | Number of adult guests. | `2` | | `currency` | String | Currency code for prices (`BRL`, `USD`, `MXN`, `ARS`, `COP`). | `"BRL"` | | `maxListings` | Integer | Maximum number of listings to extract. | `100` | | `proxyConfiguration` | Object | Proxy configuration. Default automatic proxy is highly recommended. | `{"useApifyProxy": true}` | #### Output Example ```json { "id": "3589482", "name": "Hotel Transamerica Berrini", "price": 420, "priceFormatted": "R$ 420", "currency": "BRL", "rating": 8.7, "reviewCount": 2450, "roomType": "Standard Double Room", "address": "Itaim Bibi, São Paulo", "location": "São Paulo", "distanceFromCenter": "6.8 km from center", "features": [ "Free WiFi", "Breakfast included", "Free cancellation" ], "images": [ "https://cf.bstatic.com/xdata/images/hotel/max1024x768/3589482.jpg" ], "imageCount": 1, "url": "https://www.booking.com/hotel/br/transamerica-berrini.html", "source": "Booking.com", "scrapedAt": "2026-05-23T14:56:00.000Z" } ```` #### Use Cases - 📊 **Market Price Monitoring**: Track hotel and apartment room rates for dynamic pricing. - 🎯 **Tourism Market Research**: Extract ratings and review scores to analyze customer satisfaction. - 💼 **Travel Agency Aggregation**: Enrich your booking application with real-time accommodation details. #### FAQ **Q: Do I need a residential proxy?**\ A: No. Unlike heavily locked portals, Booking.com is very stable and works perfectly using Apify's default automatic proxy pool. **Q: How does the Pay-Per-Event model work?**\ A: You are only charged per listing successfully scraped and saved to your dataset. If a run fails or returns 0 results due to a block, you pay absolutely nothing. *** ### Português Extraia dados completos de anúncios de hotéis e alojamentos do **Booking.com** em toda a América Latina (Brasil, México, Argentina, Colômbia, Chile, Peru, entre outros) de forma simples. Capture tarifas, avaliações dos utilizadores, quantidade de comentários, distância ao centro e detalhes dos quartos. Este Actor utiliza a cobrança **Pay-Per-Event (PPE)** via API, o que significa que paga apenas pelos dados reais que extrair — **sem subscrições mensais ou taxas iniciais**. #### Funcionalidades - 🌎 **Cobertura Latam**: Otimizado para destinos em toda a América Central e do Sul. - 🏢 **Todos os Alojamentos**: Extrai Hotéis, Hostels, Apartamentos, Resorts e Casas de Hóspedes. - 💰 **Cobrança Pay-Per-Event**: Apenas $0.005 por alojamento extraído. Cobrança imediata e sem períodos de teste gratuitos. - 🛡️ **Segurança de IP**: Funciona perfeitamente usando a rotação automática padrão de proxies da Apify. - ⚡ **Dados Ricos e Estruturados**: Retorna ID, nome, preço, avaliação, contagem de reviews, tipo de quarto, morada completa, distância ao centro, principais comodidades e imagens. #### Parâmetros de Entrada | Campo | Tipo | Descrição | Padrão | |---|---|---|---| | `url` | String | URL de pesquisa direta do Booking. Ignora os outros filtros. | `""` | | `location` | String | Cidade ou destino (ex: `Sao Paulo`, `Cancun`, `Buenos Aires`). | `"Sao Paulo"` | | `checkin` | String | Data opcional de check-in no formato AAAA-MM-DD. | *Nenhuma* | | `checkout` | String | Data opcional de check-out no formato AAAA-MM-DD. | *Nenhuma* | | `guests` | Integer | Número de hóspedes adultos. | `2` | | `currency` | String | Moeda de exibição (`BRL`, `USD`, `MXN`, `ARS`, `COP`). | `"BRL"` | | `maxListings` | Integer | Número máximo de alojamentos a extrair. | `100` | | `proxyConfiguration` | Object | Configurações de proxy. Proxy automático recomendado. | `{"useApifyProxy": true}` | #### Casos de Uso - 📊 **Monitorização de Tarifas**: Acompanhe os preços de quartos de hotéis e apartamentos para precificação dinâmica. - 🎯 **Pesquisa de Mercado**: Analise avaliações e comentários para entender a satisfação dos clientes em destinos turísticos. - 💼 **Agências de Viagens**: Enriqueça a sua aplicação ou plataforma com detalhes e preços reais do Booking.com. *** ### 💰 Pricing / Preços This actor uses **Pay Per Event (PPE)** pricing — no monthly fees: | Metric | Cost | |--------|------| | `accommodation-scraped` | $0.005 per accommodation | **Example**: Extracting 1,000 accommodations costs $5.00. Runs that return 0 results (e.g. blocked) are **not charged**. Este actor usa cobrança **Pay Per Event (PPE)** — sem mensalidade. Custo: **$0.005 por alojamento** (`accommodation-scraped`). Exemplo: 1.000 alojamentos custam $5.00. Execuções com 0 resultados **não são cobradas**. #### Related Actors / Atores Relacionados - [Idealista Spain, Portugal & Italy Real Estate Scraper](https://apify.com/viralanalyzer/idealista-es-pt) - [Airbnb Latin America Scraper](https://apify.com/viralanalyzer/airbnb-mx-co-ar) - [Mercado Livre Multi-Country Scraper](https://apify.com/viralanalyzer/mercadolibre-multi-country) #### Changelog - **v1.0.0 (2026-05-23)**: Lançamento oficial do Booking.com Latam Scraper com cobrança imediata PPE e suporte a múltiplos países da América Latina. # Actor input Schema ## `url` (type: `string`): Direct search results URL from Booking.com. If provided, other filters below will be ignored. Example: https://www.booking.com/searchresults.html?ss=Sao+Paulo\&dest\_type=city ## `location` (type: `string`): City or destination in Latin America. Example: 'Sao Paulo', 'Rio de Janeiro', 'Cancun', 'Buenos Aires', 'Cartagena'. Default is 'Sao Paulo'. ## `checkin` (type: `string`): Optional check-in date in YYYY-MM-DD format. If left empty, Booking will search without dates. ## `checkout` (type: `string`): Optional check-out date in YYYY-MM-DD format. Must be after check-in date. ## `guests` (type: `integer`): Number of adult guests. ## `currency` (type: `string`): Currency for prices. ## `maxListings` (type: `integer`): Maximum number of accommodation listings to extract. Each search page has ~25 listings. ## `proxyConfiguration` (type: `object`): Proxy configuration. Using Apify's default automatic proxy is recommended and works fine for Booking.com. ## Actor input object example ```json { "location": "Sao Paulo", "guests": 2, "currency": "BRL", "maxListings": 3, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing all scraped hotels and accommodations. Each item follows the dataset schema. # 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 = { "url": "", "location": "Sao Paulo", "checkin": "", "checkout": "", "maxListings": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("viralanalyzer/booking-com-latam").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 = { "url": "", "location": "Sao Paulo", "checkin": "", "checkout": "", "maxListings": 3, } # Run the Actor and wait for it to finish run = client.actor("viralanalyzer/booking-com-latam").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 '{ "url": "", "location": "Sao Paulo", "checkin": "", "checkout": "", "maxListings": 3 }' | apify call viralanalyzer/booking-com-latam --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=viralanalyzer/booking-com-latam", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Latin America Scraper", "description": "Extract Booking.com hotel and accommodation listings across Latin America: prices, ratings, reviews, room types, amenities and location for BR, MX, AR, CO, CL, PE.", "version": "1.0", "x-build-id": "X1uwiiFV2ZW7kpl9b" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/viralanalyzer~booking-com-latam/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-viralanalyzer-booking-com-latam", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/viralanalyzer~booking-com-latam/runs": { "post": { "operationId": "runs-sync-viralanalyzer-booking-com-latam", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/viralanalyzer~booking-com-latam/run-sync": { "post": { "operationId": "run-sync-viralanalyzer-booking-com-latam", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "url": { "title": "Direct Booking.com Search URL", "type": "string", "description": "Direct search results URL from Booking.com. If provided, other filters below will be ignored. Example: https://www.booking.com/searchresults.html?ss=Sao+Paulo&dest_type=city" }, "location": { "title": "Location (City / Region)", "type": "string", "description": "City or destination in Latin America. Example: 'Sao Paulo', 'Rio de Janeiro', 'Cancun', 'Buenos Aires', 'Cartagena'. Default is 'Sao Paulo'.", "default": "Sao Paulo" }, "checkin": { "title": "Check-in Date (YYYY-MM-DD)", "type": "string", "description": "Optional check-in date in YYYY-MM-DD format. If left empty, Booking will search without dates." }, "checkout": { "title": "Check-out Date (YYYY-MM-DD)", "type": "string", "description": "Optional check-out date in YYYY-MM-DD format. Must be after check-in date." }, "guests": { "title": "Number of Guests (Adults)", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of adult guests.", "default": 2 }, "currency": { "title": "Currency Code", "enum": [ "BRL", "USD", "EUR", "MXN", "ARS", "COP", "CLP", "PEN" ], "type": "string", "description": "Currency for prices.", "default": "BRL" }, "maxListings": { "title": "Max Listings", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of accommodation listings to extract. Each search page has ~25 listings.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration. Using Apify's default automatic proxy is recommended and works fine for Booking.com.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```