# Amazon ASIN and Category Scraper (`felt/amazon-product-scraper`) Actor

crape Amazon products by ASIN. Scrape trending products like: best sellers, new release, movers, and most wished.

- **URL**: https://apify.com/felt/amazon-product-scraper.md
- **Developed by:** [FELT Labs](https://apify.com/felt) (community)
- **Categories:** E-commerce
- **Features:** Limited permissions
- **Stats:** 27 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Amazon All-in-One Scraper

The **Amazon All-in-One Scraper** is your ultimate tool for extracting detailed and structured data from Amazon. Whether you’re a researcher, e-commerce analyst, or developer, this scraper empowers you to gather insights about products and categories with precision and flexibility.

### Features

1. **Scrape Products by ASIN**

   - Input a list of product ASINs to extract comprehensive data for specific products.

2. **Scrape Top Products by Category and Ranking**

   - Choose from Amazon’s popular rankings:
     - **Best Sellers**
     - **Most Wished**
     - **Movers and Shakers**
     - **New Releases**
   - Filter by categories using a multiselect field to target specific areas like **Handmade Products** or **Health & Household**.

3. **Rich Data Output**

   - Retrieve detailed product information, including:
     - **Basic Details**: Title, ASIN, Category
     - **Media**: Image URL, Product Videos
     - **Seller Information**: Store Name, Store Link, Seller Name, Seller Link
     - **Metrics**: Price, Currency, Rating, Review Count
     - **Variations**: Available options and total number of variations
     - **Rankings & Sentiment**: Percentages of 5-star to 1-star reviews
     - **Influencer Content**: Videos from top brands and influencers
     - **Links**: Direct links to products and stores
     - **Last Update**: Timestamp of the last update for real-time tracking

4. **Flexible Input Fields**
   - **Product ASINs**: Add a list of ASINs for targeted scraping (optional).
   - **Ranking**: Specify a ranking type to scrape top products (optional).
   - **Category**: Select one or more categories for precise targeting.

### Output Format

The scraped data is organized in a clean, table-like structure, making it easy to integrate into your applications or analyze directly. The fields include:

- **Product Overview**: Title, Link, Image, Category
- **Seller Details**: Name, Store, Ratings
- **Product Metrics**: Price, Variations, Review Statistics
- **Video Insights**: Product and influencer-generated videos
- **Star Rating Breakdown**: Detailed sentiment analysis

### Why Use This Scraper?

- **Time-Efficient**: Automate the extraction of massive amounts of data quickly.
- **Accurate**: Retrieves precise data directly from Amazon.
- **Customizable**: Input specific ASINs or explore by category and ranking.
- **Actionable Insights**: Ideal for market research, competitor analysis, and e-commerce strategy development.

### Request New Features

We’re constantly improving this scraper to meet your needs! If you have suggestions or feature requests, feel free to submit them via the **Issues** tab on this project. Your feedback is valuable and helps us enhance the scraper for everyone.

***

Start scraping today and unlock powerful insights into Amazon’s vast marketplace!

# Actor input Schema

## `asins` (type: `array`):

Product ASIN (unique amazon id, can be extracted from product URL).

## `ranking` (type: `string`):

Scrape ranking category.

## `location` (type: `string`):

Amazon locatization for given country.

## `categories` (type: `array`):

My multiselect field

## Actor input object example

```json
{
  "asins": [
    "B0BN72FYFG"
  ],
  "ranking": "none",
  "location": "United States"
}
```

# 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 = {
    "asins": [
        "B0BN72FYFG"
    ]
};

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

# Prepare the Actor input
run_input = { "asins": ["B0BN72FYFG"] }

# Run the Actor and wait for it to finish
run = client.actor("felt/amazon-product-scraper").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 '{
  "asins": [
    "B0BN72FYFG"
  ]
}' |
apify call felt/amazon-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,felt/amazon-product-scraper"
        }
    }
}
```

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/MTuiu2DuAbVDixbK7/builds/gyTIbJaS7PAurQIWz/openapi.json