# Amazon Seller Scraper (`junglee/amazon-seller-scraper`) Actor

Amazon scraper to extract seller information. You can scrape either categories or specific products.

- **URL**: https://apify.com/junglee/amazon-seller-scraper.md
- **Developed by:** [Junglee](https://apify.com/junglee) (Apify)
- **Categories:** E-commerce
- **Stats:** 1,972 total users, 56 monthly users, 91.6% runs succeeded, 46 bookmarks
- **User rating**: 1.78 out of 5 stars

## Pricing

from $3.00 / 1,000 sellers

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/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

### What is Amazon Seller Scraper?

Amazon Seller Scraper is a web scraping tool that enables you to extract seller data by specifying category, product or seller itself.

### How many results can you scrape with Amazon Seller Scraper?

Amazon Seller Scraper can return up to hundreds of results on average. However, you have to keep in mind that scraping amazon.com has many variables to it and may cause the results to fluctuate case by case. There’s no one-size-fits-all-use-cases number. The maximum number of results may vary depending on the complexity of the input, location, and other factors. Some of the most frequent cases are:

- website gives a different number of results depending on the type/value of the input
- website has an internal limit that no scraper can cross
- scraper has a limit that we are working on improving

Therefore, while we regularly run Actor tests to keep the benchmarks in check, the results may also fluctuate without our knowing. The best way to know for sure for your particular use case is to do a test run yourself.

### How much will scraping Amazon Seller cost you?

When it comes to scraping, it can be challenging to estimate the resources needed to extract data as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do.

[Watch this video](https://www.youtube.com/watch?v=-wyz2iscZ30) for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.

### Need to find product pairs between Amazon and another online shop?

Try our [AI Product Matcher](https://apify.com/equidem/ai-product-matcher). This AI model was created to compare items from different web stores, identifying exact matches and comparing real-time data obtained via web scraping. With the AI Product Matcher, you can use scraped product data to monitor product matches across the industry, implement dynamic pricing for your website, replace or complement manual mapping, and obtain realistic estimates against your competition for upcoming promo campaigns.

Most importantly, it is relatively easy to get started with (just follow [this Product Matcher guide](https://blog.apify.com/product-matching-ai-pricing-intelligence-web-scraping/)), and it can check thousands pairs of products.

### Is it legal to scrape Amazon?

It is legal to scrape publicly available data such as product descriptions, prices, or ratings. Read our blog post on [the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/) to learn more.

### Integrations and Amazon Seller scraper

Last but not least, Amazon Seller scraper can be connected with almost any cloud service or web app thanks to  <a href="https://apify.com/integrations"  target="_blank"> integrations on the Apify platform</a>. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, <a href="https://docs.apify.com/integrations"  target="_blank"> and more</a>. Or you can use <a href="https://docs.apify.com/integrations/webhooks"  target="_blank"> webhooks</a> to carry out an action whenever an event occurs, e.g. get a notification whenever Amazon Seller scraper successfully finishes a run.

### Using Amazon Seller scraper with the Apify API

The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.

To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package.

Check out the <a href="https://docs.apify.com/api/v2"  target="_blank"> Apify API reference</a> docs for full details or click on the <a href="https://apify.com/vojtam/amazon-seller-scraper/api"  target="_blank"> API tab</a> for code examples.

### Want more Amazon scraping options?

Try these 👇

- [Amazon Product Scraper](https://apify.com/junglee/amazon-crawler)
- [Amazon Best Sellers Scraper](https://apify.com/mihails/amazon-bestsellers-scraper)
- [Amazon Reviews Scraper](https://apify.com/lhotanok/amazon-reviews-scraper)
- [Amazon ASINs Scraper](https://apify.com/lhotanok/amazon-asins-scraper)

### Error items

When the scraper cannot retrieve data for a given input — for example a seller URL is malformed or the configuration is invalid — it pushes an **error item** to the dataset instead of silently skipping it. Normal output items are never affected; you can tell them apart by the presence of an `error` field.

#### Error item structure

```json
{
    "error": "product_not_found",
    "errorDescription": "Loaded a 404 page. The product does not exist.",
    "input": "https://www.amazon.com/dp/B0XXXXXXXX",
    "url": "https://www.amazon.com/dp/B0XXXXXXXX"
}
```

#### Error codes reference

| `error`                          | Meaning                                                        |
| -------------------------------- | -------------------------------------------------------------- |
| `invalid_url`                    | One or more start URLs were malformed or not recognized        |
| `invalid_input`                  | Actor failed due to bad configuration (run is also terminated) |
| `product_not_found`              | Product URL returns a 404 page                                 |
| `shortened_url_invalid`          | Amazon shortened URL could not be resolved                     |
| `bestsellers_category_not_found` | Bestsellers category page could not be found                   |
| `no_relevant_reviews_found`      | Reviews exist but none match the active filters                |
| `no_results_found`               | No results were found for the given input                      |

***

### Not your cup of tea? Build your own scraper

Amazon Seller Scraper doesn’t exactly do what you need? You can always build your own! We have various [scraper templates](https://apify.com/templates) in Python, JavaScript, and TypeScript to get you started. Alternatively, you can write it from scratch using our [open-source library Crawlee](https://crawlee.dev/). You can keep the scraper to yourself or make it public by adding it to Apify Store (and [find users](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) for it).

Or let us know if you need a [custom scraping solution](https://apify.com/custom-solutions).

### Your feedback

We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Amazon Sellers Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://console.apify.com/actors/jdZC3PJbfw7tuh88C/issues) in Apify Console.

# Actor input Schema

## `startUrls` (type: `array`):

Can be either category URL (https://www.amazon.com/s?k=something), product URL (https://www.amazon.com/dp/B09JQMJHXY) or seller URL (https://www.amazon.com/sp?\&seller=A33VKVXKE1ZIAY)

## `maxItemsPerStartUrl` (type: `integer`):

Enter the maximum number of results you want to scrape per each star URL. This will let the scraper know when to stop.

## `saveOnlySeller` (type: `boolean`):

Check this if you don't want to save any additional information about product and offers.

## `scrapeOffers` (type: `boolean`):

Check this if you want to scrape sellers for all offers. Otherwise only the main seller will be scraped.

## `language` (type: `string`):

Language to use on Amazon.

**Disclaimer**: each Amazon domain has a different set of supported languages. If you choose a language that is not supported by the domain, the scraper will use the default language of the domain.

## `proxyCountry` (type: `string`):

You can set proxy country to **avoid geo-blocking** and **access region-specific content**. Amazon shows you the products that can be shipped to your address based on the proxy you use.

*By default*, the scraper **automatically selects** the **proxy country** based on the used Amazon website domain, ensuring low blocking rates and results relevant to the base domain.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.amazon.com/s?k=keyboard"
    }
  ],
  "maxItemsPerStartUrl": 10,
  "saveOnlySeller": false,
  "scrapeOffers": false,
  "language": "en",
  "proxyCountry": "AUTO_SELECT_PROXY_COUNTRY"
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped seller data

# 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 = {
    "startUrls": [
        {
            "url": "https://www.amazon.com/s?k=keyboard"
        }
    ],
    "maxItemsPerStartUrl": 10,
    "proxyCountry": "AUTO_SELECT_PROXY_COUNTRY"
};

// Run the Actor and wait for it to finish
const run = await client.actor("junglee/amazon-seller-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 = {
    "startUrls": [{ "url": "https://www.amazon.com/s?k=keyboard" }],
    "maxItemsPerStartUrl": 10,
    "proxyCountry": "AUTO_SELECT_PROXY_COUNTRY",
}

# Run the Actor and wait for it to finish
run = client.actor("junglee/amazon-seller-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 '{
  "startUrls": [
    {
      "url": "https://www.amazon.com/s?k=keyboard"
    }
  ],
  "maxItemsPerStartUrl": 10,
  "proxyCountry": "AUTO_SELECT_PROXY_COUNTRY"
}' |
apify call junglee/amazon-seller-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,junglee/amazon-seller-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/jdZC3PJbfw7tuh88C/builds/uNcEUogVtMnzAari3/openapi.json