# Amazon Seller & Store Products Scraper (`bgfc97/amazon-seller-store-scraper`) Actor

- **URL**: https://apify.com/bgfc97/amazon-seller-store-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** E-commerce, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.90 / 1,000 product scrapeds

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?

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 Seller & Store Products Scraper

**Amazon seller scraper** that extracts **every product from any Amazon seller storefront or store** — by **seller URL** or **seller ID (merchant ID)**. Perfect for competitor research, catalog monitoring, dropshipping sourcing, MAP/price tracking and lead generation.

Give it a seller storefront link (e.g. `https://www.amazon.com/s?me=A2L77EE7U53NWQ` or `https://www.amazon.com/sp?seller=...`) and it returns the full product list with **ASIN, title, price, currency, rating, review count, product URL, image and stock status** — across Amazon marketplaces (US, UK, DE, FR, IT, ES, CA, JP, IN, MX, BR, AU, NL).

> Keywords: amazon seller scraper, amazon storefront scraper, amazon store products, seller id, merchant id, amazon seller products, amazon product catalog, amazon competitor research.

### What you get per product

| Field | Description |
|---|---|
| `sellerId` | Amazon seller / merchant id |
| `sellerName` | Seller's display name (best-effort) |
| `asin` | Amazon product id (ASIN) |
| `title` | Product title |
| `price` | Numeric price |
| `currency` | Currency (USD, GBP, EUR, …) |
| `rating` | Average star rating (0–5) |
| `reviewsCount` | Number of ratings/reviews |
| `url` | Clean product URL |
| `image` | Product image URL |
| `inStock` | Whether the product looks available |
| `country` | Marketplace country |

### Input

```json
{
  "sellerUrls": ["https://www.amazon.com/s?me=A2L77EE7U53NWQ"],
  "sellerIds": ["A2L77EE7U53NWQ"],
  "country": "US",
  "maxProducts": 100
}
```

- **sellerUrls** — one or more seller storefront / seller-profile URLs. The marketplace is detected from the URL.
- **sellerIds** — raw seller/merchant IDs; combined with **country** to build the storefront URL.
- **country** — marketplace for seller IDs and proxy location (default `US`).
- **maxProducts** — max products per seller (default `100`).

You can use `sellerUrls`, `sellerIds`, or both.

### How to find a seller ID

Open a product, scroll to **"Sold by"**, click the seller — the URL contains `seller=A...` (that `A...` string is the seller ID). Or copy the seller's storefront link directly.

### Anti-bot & proxy

Amazon aggressively blocks scrapers. This Actor routes requests through **Apify Residential proxies** with realistic browser headers and a rotating session pool, retrying blocked pages on fresh sessions. Platform/proxy usage is billed to the run (standard for e-commerce scraping).

### Pricing

Pay-per-result: you are charged **only per product scraped** — among the cheapest Amazon seller scrapers on the platform.

### ⭐ Enjoying this Actor?

If it saved you time, please leave an **honest review** — it helps us a lot. Found a bug or want a feature? **Open an Issue** and we'll jump on it fast.

# Actor input Schema

## `sellerUrls` (type: `array`):

Amazon seller storefront or seller-profile URLs. Any of these forms work: https://www.amazon.com/sp?seller=A2L77EE7U53NWQ , https://www.amazon.com/s?me=A2L77EE7U53NWQ , or a storefront link that contains the seller/merchant id. The marketplace domain in the URL is used automatically.

## `sellerIds` (type: `array`):

Alternative to URLs: raw Amazon seller / merchant IDs (e.g. A2L77EE7U53NWQ). These are combined with the Country below to build the storefront URL.

## `country` (type: `string`):

Marketplace to use for seller IDs and residential proxy location.

## `maxProducts` (type: `integer`):

Maximum number of products to scrape from each seller / store.

## Actor input object example

```json
{
  "sellerUrls": [
    "https://www.amazon.com/s?me=A2L77EE7U53NWQ"
  ],
  "country": "US",
  "maxProducts": 100
}
```

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

// Prepare Actor input
const input = {
    "sellerUrls": [
        "https://www.amazon.com/s?me=A2L77EE7U53NWQ"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/amazon-seller-store-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 = { "sellerUrls": ["https://www.amazon.com/s?me=A2L77EE7U53NWQ"] }

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/amazon-seller-store-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 '{
  "sellerUrls": [
    "https://www.amazon.com/s?me=A2L77EE7U53NWQ"
  ]
}' |
apify call bgfc97/amazon-seller-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bgfc97/amazon-seller-store-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/tFwiOxMiwp5Xtv2CB/builds/PnNBmD95fnVgjebi0/openapi.json