# Americanas Product Scraper (`geodetic_marigold/americanas-scraper`) Actor Monitor de preços e catálogo da Americanas. Busca por palavra-chave e devolve produtos estruturados (preço, desconto, estoque, marca, categoria, EAN, imagem) prontos para planilha, BI ou IA. - **URL**: https://apify.com/geodetic\_marigold/americanas-scraper.md - **Developed by:** [Antonio Fernando Rincon de Mendonça](https://apify.com/geodetic_marigold) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 produto extraídos 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 ## Americanas Product Scraper Monitore preços e o catálogo da **Americanas** (americanas.com.br) em escala. Busque por palavra-chave e receba produtos estruturados — **preço, preço original, desconto, estoque, marca, categoria, EAN e imagem** — prontos para planilha, BI, monitoramento de concorrência ou pipelines de IA. > 💸 **Pague só pelo resultado.** A cobrança é por produto retornado. Runs que não acham nada custam **zero**. ### O que ele faz Dada uma palavra-chave (ex.: `notebook`), o Actor consulta a API pública de catálogo da Americanas e devolve cada produto encontrado, paginando até o limite que você definir. ### Casos de uso - **Monitoramento de preço** — acompanhe o preço e o desconto de produtos ao longo do tempo. - **Pesquisa de concorrência** — compare seu catálogo/preços com a maior loja do Brasil. - **Pesquisa de mercado** — levante faixa de preço, marcas e disponibilidade de uma categoria. - **Dropshipping / sourcing** — encontre produtos, preços e disponibilidade por busca. - **Alimentar IA/BI** — dados limpos e tipados para dashboards e modelos. ### Input | Campo | Tipo | Obrigatório | Descrição | |-------|------|:-----------:|-----------| | `searchQuery` | string | ✅ | O que procurar. Ex.: `"notebook"`, `"geladeira frost free"`, `"tênis nike"`. | | `maxItems` | integer | — | Máximo de produtos a coletar (padrão `100`, máx `3000`). | | `sort` | string | — | Ordenação: relevância (padrão), menor/maior preço, mais vendidos, maior desconto, lançamentos. | #### Exemplo ```json { "searchQuery": "notebook", "maxItems": 50, "sort": "OrderByBestDiscountDESC" } ```` ### Output Cada item no dataset: ```json { "productId": "13180493", "name": "Notebook Acer Aspire 5 ...", "brand": "Acer", "category": "Notebook", "categoryPath": "/Informática/Notebook/", "url": "https://www.americanas.com.br/produto/13180493/p", "price": 2499.0, "listPrice": 3299.0, "currency": "BRL", "discountPercent": 24, "available": true, "availableQuantity": 100, "sellerName": "Americanas", "sku": "13180493", "ean": "7891234567890", "image": "https://americanas.vteximg.com.br/arquivos/ids/.../img.jpg", "searchQuery": "notebook", "scrapedAt": "2026-06-24T13:00:00.000Z" } ``` ### Como funciona O Actor consome a **API pública de catálogo da plataforma VTEX** (que a Americanas usa). Não usa navegador nem renderização — só requisições HTTP que retornam JSON estruturado. Isso o torna rápido, estável e barato de rodar. ### Observações - Coleta **apenas dados públicos de produtos** (catálogo da loja). Não coleta dados pessoais. - Respeite os Termos de Uso da Americanas e use os dados de forma responsável. - A disponibilidade e os preços refletem o momento da coleta. # Actor input Schema ## `searchQuery` (type: `string`): O que procurar na Americanas. Ex.: "notebook", "geladeira frost free", "tênis nike". ## `maxItems` (type: `integer`): Limite superior de produtos a coletar. Valores altos aumentam o tempo do run. ## `sort` (type: `string`): Como ordenar os resultados. Em branco = relevância padrão da loja. ## Actor input object example ```json { "searchQuery": "notebook", "maxItems": 100, "sort": "" } ``` # 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 = { "searchQuery": "notebook" }; // Run the Actor and wait for it to finish const run = await client.actor("geodetic_marigold/americanas-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 = { "searchQuery": "notebook" } # Run the Actor and wait for it to finish run = client.actor("geodetic_marigold/americanas-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 '{ "searchQuery": "notebook" }' | apify call geodetic_marigold/americanas-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=geodetic_marigold/americanas-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Americanas Product Scraper", "description": "Monitor de preços e catálogo da Americanas. Busca por palavra-chave e devolve produtos estruturados (preço, desconto, estoque, marca, categoria, EAN, imagem) prontos para planilha, BI ou IA.", "version": "0.1", "x-build-id": "KhE63K8eVZHAJzVS2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/geodetic_marigold~americanas-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-geodetic_marigold-americanas-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/geodetic_marigold~americanas-scraper/runs": { "post": { "operationId": "runs-sync-geodetic_marigold-americanas-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/geodetic_marigold~americanas-scraper/run-sync": { "post": { "operationId": "run-sync-geodetic_marigold-americanas-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Palavra-chave de busca", "minLength": 2, "maxLength": 200, "type": "string", "description": "O que procurar na Americanas. Ex.: \"notebook\", \"geladeira frost free\", \"tênis nike\"." }, "maxItems": { "title": "Máximo de produtos", "minimum": 1, "maximum": 3000, "type": "integer", "description": "Limite superior de produtos a coletar. Valores altos aumentam o tempo do run.", "default": 100 }, "sort": { "title": "Ordenação", "enum": [ "", "OrderByPriceASC", "OrderByPriceDESC", "OrderByTopSaleDESC", "OrderByBestDiscountDESC", "OrderByReleaseDateDESC" ], "type": "string", "description": "Como ordenar os resultados. Em branco = relevância padrão da loja.", "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 } } } } } } } } } } ```