# Netshoes Brazil Product & Price Scraper (`latinamericadata/netshoes-brasil`) Actor

Extraia produtos da Netshoes Brasil com precos, descontos, estoque, tamanhos, cores, marcas, avaliacoes, vendedores, imagens e URLs. Scraper e API para tenis, esportes e inteligencia de ecommerce.

- **URL**: https://apify.com/latinamericadata/netshoes-brasil.md
- **Developed by:** [Latin America Data](https://apify.com/latinamericadata) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 produto entregues

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Netshoes Brazil Product & Price Scraper

Search Netshoes Brazil and export structured sports ecommerce data. This Netshoes scraper and API returns sneakers, apparel and sports products with prices, discounts, availability, sizes, colors, ratings, sellers, installments, images and direct URLs.

Use it for sneaker price monitoring, sports assortment analysis, seller intelligence, brand tracking, promotion monitoring, competitor research and product feeds in JSON, CSV, Excel, XML or through the Apify API and webhooks.

### Data you receive

- Product, parent-product and SKU identifiers
- Name, brand, department and product type
- Current price, list price and discount percentage in BRL
- Available sizes and colors
- Rating, review count, seller and seller score
- Installments, payment method and promotions
- Image URL, product URL, page, rank and timestamp

### Input

| Field | Type | Description |
| --- | --- | --- |
| `term` | string | Product, brand, sport or category to search. |
| `maxItems` | integer | Optional result limit. Omit it to continue through the available search. |
| `maxPages` | integer | Optional page limit. Omit it to continue until the source ends. |
| `startPage` | integer | First result page, starting at 1. |
| `maxRuntimeSecs` | integer | Runtime safety budget; collected products are preserved. |
| `requestTimeoutSecs` | integer | Maximum wait for one source response. |
| `failOnNoResults` | boolean | Fail instead of returning an auditable `no_results` row. |

```json
{
  "term": "tenis adidas",
  "maxItems": 100
}
```

### Example result

```json
{
  "status": "success",
  "source": "Netshoes Brasil",
  "product_id": "FBA-4136",
  "sku_id": "FBA-4136-028-38",
  "title": "Tenis Adidas VL Court 3.0 Feminino",
  "brand": "Adidas",
  "price": 299.99,
  "list_price": 399.99,
  "discount_percent": 25,
  "currency": "BRL",
  "rating": 4.89,
  "sizes": ["35", "36", "37", "38"],
  "seller_name": "Adidas",
  "source_url": "https://www.netshoes.com.br/p/..."
}
```

### Pagination and billing

The Actor saves products progressively in deterministic page order and removes duplicates. Without `maxItems` or `maxPages`, it continues until the search ends or the runtime safety budget is reached. Current offers are retrieved before a row is billed; missing offers are never invented.

Each valid product stored in the Dataset costs **USD 0.003**. Operational rows such as `no_results`, `blocked`, `partial` or `failed` are not result events. Apify platform usage is paid by the user running the Actor.

### Output status

- `success`: a valid product with a current offer
- `no_results`: the requested page has no products
- `partial`: earlier products were preserved after a later source problem
- `blocked` or `failed`: the source could not be read; no product is fabricated

Netshoes is a trademark of its respective owner. This independent data extraction tool is not affiliated with or endorsed by Netshoes.

# Actor input Schema

## `term` (type: `string`):

Produto, marca, esporte ou categoria para pesquisar.

## `maxItems` (type: `integer`):

Opcional. Se omitido, coleta todos os resultados alcancados durante a execucao.

## `maxPages` (type: `integer`):

Opcional. Se omitido, continua ate nao existirem novos produtos.

## `startPage` (type: `integer`):

Primeira pagina da pesquisa.

## `maxRuntimeSecs` (type: `integer`):

Preserva produtos ja coletados quando uma busca extensa atinge este tempo.

## `requestTimeoutSecs` (type: `integer`):

Tempo maximo para cada resposta do site.

## `failOnNoResults` (type: `boolean`):

Falha a execucao quando uma pagina valida nao encontra produtos.

## Actor input object example

```json
{
  "term": "tenis",
  "startPage": 1,
  "maxRuntimeSecs": 240,
  "requestTimeoutSecs": 30,
  "failOnNoResults": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("latinamericadata/netshoes-brasil").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("latinamericadata/netshoes-brasil").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call latinamericadata/netshoes-brasil --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,latinamericadata/netshoes-brasil"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/dIaLbYYkK2uNrpE2S/builds/LTj3bKBKt7FmEFqGW/openapi.json