# Amazon Seller Scraper API (`antonio_cesar/amazon-seller-scraper-api`) Actor

Collect live Amazon.com seller profiles, business details, ratings, review counts, and seller identifiers as structured data.

- **URL**: https://apify.com/antonio\_cesar/amazon-seller-scraper-api.md
- **Developed by:** [Antônio César](https://apify.com/antonio_cesar) (community)
- **Categories:** E-commerce, Lead generation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 amazon 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/platform/actors/running/actors-in-store#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

### What does Amazon Seller Scraper API do?

**Amazon Seller Scraper API** converts Amazon.com seller IDs or profile URLs into structured seller records. It collects seller identifiers, display names, business information, ratings, review counts, profile URLs, and collection timestamps for marketplace research, merchant verification, lead enrichment, and competitive analysis.

Run the Actor from Apify Console or API, schedule recurring checks, monitor runs, and connect results to webhooks, Make, Zapier, Google Sheets, CRMs, or data warehouses. Managed data infrastructure performs the collection without requiring browser maintenance, proxy configuration, or a separate provider account.

### Why use Amazon Seller Scraper API?

Seller profiles are useful when mapping a marketplace category, enriching an existing ASIN dataset, comparing merchant reputation, or monitoring changes in public business details. This focused Actor accepts seller IDs directly, validates every item before the external request, deduplicates repeated sellers, and returns a predictable normalized contract.

### How to scrape Amazon seller information

1. Click **Try for free**.
2. Enter Amazon.com seller IDs or `/sp?seller=` URLs.
3. Keep raw data disabled unless extra provider fields are needed.
4. Start the Actor.
5. Open the **Sellers** dataset view or download the results.

### Input

```json
{
  "sellers": [
    "A33W53J5GVPZ8K",
    "https://www.amazon.com/sp?seller=A1EXAMPLE01"
  ],
  "includeRawData": false
}
```

A run accepts up to 500 unique seller inputs for every user. The initial version supports Amazon.com only.

### Output

```json
{
  "recordType": "seller_info",
  "input": "A33W53J5GVPZ8K",
  "sellerId": "A33W53J5GVPZ8K",
  "sellerName": "Example Store",
  "businessName": "Example Commerce LLC",
  "rating": 4.8,
  "reviewsCount": 8920,
  "marketplace": "https://www.amazon.com",
  "sourceUrl": "https://www.amazon.com/sp?seller=A33W53J5GVPZ8K",
  "scrapedAt": "2026-08-21T12:00:00Z"
}
```

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

### Data table

| Field | Meaning |
|---|---|
| `sellerId` | Amazon seller identifier |
| `sellerName` | Public seller display name |
| `businessName` | Public business name when available |
| `rating`, `reviewsCount` | Seller reputation summary |
| `sourceUrl` | Amazon seller profile URL |
| `scrapedAt` | UTC collection timestamp |

### How much does it cost to scrape Amazon sellers?

The PPE price is **US$0.008 per delivered seller record**, or **US$8 per 1,000 sellers**. Five sellers cost US$0.04 and 100 cost US$0.80. The standard US$0.00005 Actor-start event applies per applicable start unit, and platform usage is included.

### Tips and advanced options

Use seller IDs where possible because they are less error-prone than copied URLs. Start with five records, check available business fields, and then scale the list. Keep raw data disabled for smaller, more stable exports. Invalid sellers and upstream errors are recorded in `ERRORS` and do not contaminate the results dataset.

### FAQ, disclaimers, and support

The Actor collects public Amazon.com seller profile information and does not guarantee that every business field is present. **Unofficial — not affiliated with or endorsed by Amazon.** Users are responsible for applicable law, Amazon terms, privacy requirements, and appropriate outreach practices. Open the Actor **Issues** tab for support or custom seller research.

For search, products, reviews, and categories, see [Amazon Data Suite](https://apify.com/antonio_cesar/amazon-data-suite).

# Actor input Schema

## `sellers` (type: `array`):

Enter 1–500 seller IDs or Amazon.com /sp?seller= URLs.

## `includeRawData` (type: `boolean`):

Keep the stable seller fields and add sanitized provider fields under rawData.

## Actor input object example

```json
{
  "sellers": [
    "A33W53J5GVPZ8K"
  ],
  "includeRawData": false
}
```

# Actor output Schema

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

Successful normalized Amazon records. Validation and upstream errors are never mixed into this billable dataset.

## `summary` (type: `string`):

Live or final run status with requested, successful, failed, and charged counts.

## `errors` (type: `string`):

Structured validation or upstream errors, kept outside the results dataset.

# 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 = {
    "sellers": [
        "A33W53J5GVPZ8K"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("antonio_cesar/amazon-seller-scraper-api").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 = { "sellers": ["A33W53J5GVPZ8K"] }

# Run the Actor and wait for it to finish
run = client.actor("antonio_cesar/amazon-seller-scraper-api").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 '{
  "sellers": [
    "A33W53J5GVPZ8K"
  ]
}' |
apify call antonio_cesar/amazon-seller-scraper-api --silent --output-dataset

```

## MCP server setup

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

```

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/XRA2YsKZlSu2IduIA/builds/1gABW7qZWUvf4QgI9/openapi.json