# Americanas Brazil Product Price Scraper (`scrapers_lat/americanas-scraper`) Actor
Scrape product prices, installments, stock and marketplace sellers from Americanas Brazil. Search by keyword or category and extract price, list price, discount, EAN, SKU, brand, seller name and category path for every offer.
- **URL**: https://apify.com/scrapers\_lat/americanas-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $8.00 / 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.
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
[](https://console.apify.com/actors/rgoJDG7XY5afBv6jN/input)
## Americanas Scraper
> Extract product prices, installment plans, and seller data from Americanas, one of Brazil's largest online marketplaces with millions of listings across every retail category.
19 fields per record
Brazil coverage
JSON / CSV / Excel output formats
Updated 2026-06-20
### What you get
Each record is one purchasable offer (a single SKU sold by a single seller), ready to load into any database, spreadsheet, or price-monitoring pipeline:
- **imageUrl**: main product image
- **images**: all image URLs for the SKU (electronics often have several); imageUrl above is the first one
- **releaseDate**: catalog release date of the product, when provided
- **productReference**: manufacturer reference / model code from the catalog
- **installmentsTable**: full installment plan table per offer (number of payments, payment value, interest rate, total, payment method name)
- **priceValidUntil**: date the current price is valid until, when provided
- **promoTeasers**: names of active promotions or discounts applied to the offer
- **measurementUnit**: unit of measure for price-per-unit, when provided
- **unitMultiplier**: unit multiplier for price-per-unit, when provided
- **name**: full product name as listed
- **brand**: product brand, when published
- **price**: current price for this seller
- **listPrice**: reference list price before discount
- **priceWithoutDiscount**: base price without promotional discount
- **sellingPrice**: full selling price for the offer
- **installments**: best installment plan (number of installments, value per installment, interest rate, interest-free flag, total)
- **availableQuantity**: units the seller has in stock
- **isAvailable**: whether the offer is buyable right now
- **sku**: unique SKU id for the variant
- **ean**: barcode (EAN), when published
- **referenceId**: seller reference code for the SKU
- **sellerName**: name of the seller fulfilling the offer
- **sellerId**: seller identifier on the marketplace
- **isMarketplace**: whether the offer is from a third-party marketplace seller rather than Americanas itself
- **categories**: full category path for the product
- **productId**: unique Americanas product id
- **url**: direct link to the product page
- **observedAt**: when this offer was last seen by the scraper
### Who is it for
| Use case | Who benefits |
|---|---|
| Price monitoring | E-commerce teams tracking competitor pricing in Brazil |
| Installment intelligence | Analysts comparing interest-free installment offers across sellers |
| Marketplace research | Brands auditing third-party sellers reselling their products |
| Catalog enrichment | Teams matching products by EAN, SKU, and brand |
| Data pipelines | Developers feeding BI tools, dashboards, or repricing engines |
### Frequently Asked Questions
**What can I search on Americanas?**
You can search the full catalog by keyword (for example "geladeira", "iphone", or "tênis nike"), or restrict results to a category by its numeric category id. You can also paste a full Americanas catalog search URL to reuse its exact filters and sorting.
**How many results can I get per run?**
You set the limit with Max Items. The Americanas catalog API serves results in pages of fifty and allows paging through roughly the first 2,500 products for any single search or category, so very broad queries are best narrowed with a keyword, category, or sort order.
**Can I sort or filter the results?**
Yes. You can sort by price low to high, price high to low, best sellers, top rated, newest, biggest discount, or name. Combine a search term with a category id to search within a specific department.
**Does it include marketplace sellers and installment plans?**
Yes. Americanas lists both its own offers and third-party marketplace sellers, and each offer is returned separately with its seller name, marketplace flag, stock, and price. The installments field reports the best plan available, including how many interest-free installments a buyer can use.
**What happens to products with missing data?**
Fields like brand, EAN, or installments are only filled when the store publishes them, so they may be empty on some offers. Every record always includes the price, seller, availability, identifiers, and a direct product link.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Americanas iPhone Price Monitoring in Brazil](https://apify.com/scrapers_lat/americanas-scraper/examples/iphone-price-monitoring-brazil): Track Apple iPhone prices, sellers and stock on Americanas Brazil. Export SKU-level price data for daily price monitoring and competitor research.
- [Americanas Nike Product Catalog Export in Brazil](https://apify.com/scrapers_lat/americanas-scraper/examples/nike-product-catalog-export-brazil): Export the Nike product catalog from Americanas Brazil with prices, SKUs and sellers. Build a brand price feed for monitoring and assortment tracking.
- [Americanas Refrigerator Price Tracker in Brazil](https://apify.com/scrapers_lat/americanas-scraper/examples/refrigerator-price-tracker-brazil): Monitor refrigerator (geladeira) prices, brands and stock on Americanas Brazil. Export appliance price data for repricing and market analysis.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [MercadoLibre Product Listings Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper): Extract products, prices and seller data from MercadoLibre across 18 LATAM countries. Scrape...
- [Quince Product Scraper](https://apify.com/scrapers_lat/quince-scraper): Extract Quince.com products with prices, traditional retail price, discounts, variants, images and...
- [Rappi Restaurants & Stores Scraper](https://apify.com/scrapers_lat/rappi-scraper): Scrape restaurants and stores from Rappi Colombia! Extract store name, logo, category, rating...
- [Chedraui Mexico Grocery Price Scraper](https://apify.com/scrapers_lat/chedraui-scraper): Scrape Chedraui Mexico product prices, EAN codes, stock, brands and installments by keyword or...
- [Cruz Verde Colombia Pharmacy Price Scraper](https://apify.com/scrapers_lat/cruz-verde-scraper): Extract drug prices, stock and laboratory data from Cruz Verde Colombia pharmacy.
- [Dia Argentina Grocery Price Scraper](https://apify.com/scrapers_lat/dia-ar-scraper): Scrape Dia Argentina product prices, list prices, stock, EAN, brand and sellers by keyword or...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Americanas. It only accesses data that is publicly available on the platform. Use it in accordance with Americanas's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of product offers to collect. Each available SKU and seller is one record. Optional.
## `searchTerm` (type: `string`):
Full-text query to search the Americanas catalog (e.g. "geladeira", "iphone", "tênis nike"). Maps to the VTEX ft parameter. Leave empty to use a Category or Start URL instead.
## `categoryId` (type: `string`):
Restrict results to one Americanas category by its numeric VTEX category id (e.g. 322 for Food & Drinks, 742 for Audio & Video, 1251 for Beauty). Maps to the VTEX fq=C: filter. Combine with a Search Term to search within a category.
## `startUrl` (type: `string`):
Advanced. A full VTEX catalog search URL whose query string (ft, fq, O, etc.) is used as-is, e.g. https://www.americanas.com.br/api/catalog_system/pub/products/search?ft=notebook&O=OrderByPriceASC . When set, its parameters take precedence.
## `sortOrder` (type: `string`):
Order in which the catalog returns products. Maps to the VTEX O parameter.
## `proxyConfiguration` (type: `object`):
Proxy settings. The Americanas VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional.
## Actor input object example
```json
{
"maxItems": 10,
"searchTerm": "geladeira",
"sortOrder": "",
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# Actor output Schema
## `results` (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 = {
"maxItems": 10,
"searchTerm": "geladeira"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/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 = {
"maxItems": 10,
"searchTerm": "geladeira",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/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 '{
"maxItems": 10,
"searchTerm": "geladeira"
}' |
apify call scrapers_lat/americanas-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/americanas-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Americanas Brazil Product Price Scraper",
"description": "Scrape product prices, installments, stock and marketplace sellers from Americanas Brazil. Search by keyword or category and extract price, list price, discount, EAN, SKU, brand, seller name and category path for every offer.",
"version": "0.1",
"x-build-id": "VSBSwpM5kw6leZaJv"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~americanas-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~americanas-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-americanas-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~americanas-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-americanas-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of product offers to collect. Each available SKU and seller is one record. Optional."
},
"searchTerm": {
"title": "Search Term",
"type": "string",
"description": "Full-text query to search the Americanas catalog (e.g. \"geladeira\", \"iphone\", \"tênis nike\"). Maps to the VTEX ft parameter. Leave empty to use a Category or Start URL instead."
},
"categoryId": {
"title": "Category ID",
"type": "string",
"description": "Restrict results to one Americanas category by its numeric VTEX category id (e.g. 322 for Food & Drinks, 742 for Audio & Video, 1251 for Beauty). Maps to the VTEX fq=C: filter. Combine with a Search Term to search within a category."
},
"startUrl": {
"title": "Start URL",
"type": "string",
"description": "Advanced. A full VTEX catalog search URL whose query string (ft, fq, O, etc.) is used as-is, e.g. https://www.americanas.com.br/api/catalog_system/pub/products/search?ft=notebook&O=OrderByPriceASC . When set, its parameters take precedence."
},
"sortOrder": {
"title": "Sort Order",
"enum": [
"",
"OrderByPriceASC",
"OrderByPriceDESC",
"OrderByTopSaleDESC",
"OrderByReviewRateDESC",
"OrderByNameASC",
"OrderByNameDESC",
"OrderByReleaseDateDESC",
"OrderByBestDiscountDESC"
],
"type": "string",
"description": "Order in which the catalog returns products. Maps to the VTEX O parameter.",
"default": ""
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings. The Americanas VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional.",
"default": {
"useApifyProxy": 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
}
}
}
}
}
}
}
}
}
}
```