# Amazon Selleranalytics Spider (`getdataforme/amazon-selleranalytics-spider`) Actor

Extract comprehensive data from Amazon seller analytics pages for market insights, competitor strategies, and pricing dynamics. Features include customizable outputs in JSON, CSV, Excel, high-quality data extraction, performance optimization, and a user-friendly interface....

- **URL**: https://apify.com/getdataforme/amazon-selleranalytics-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $9.00 / 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?

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

***

### PART 1: Generate README.md

## Amazon Selleranalytics Spider

Welcome to the Amazon Selleranalytics Spider! This powerful tool is designed to extract comprehensive data from Amazon seller analytics pages. By leveraging this Actor, you can gain valuable insights into market trends, competitor strategies, and pricing dynamics.

### Features

- **Comprehensive Data Extraction**: Extracts detailed information from Amazon seller analytics pages.
- **High-Quality Data**: Ensures reliable and accurate data for informed decision-making.
- **Performance Optimization**: Fast and efficient data retrieval with minimal resource usage.
- **Customizable Outputs**: Supports various output formats including JSON, CSV, and Excel.
- **User-Friendly Interface**: Easy to configure and run without technical expertise.

### Input Parameters Table

| Parameter       | Type   | Required | Description                                      | Example                |
|-----------------|--------|----------|--------------------------------------------------|------------------------|
| `maxPages`      | Number | No       | Maximum number of pages to scrape.               | `5`                    |
| `outputFormat`  | String | No       | Desired output format (JSON, CSV, Excel).        | `"JSON"`               |
| `includeImages` | Boolean| No       | Whether to include images in the output.         | `true`                 |
| `delay`         | Number | No       | Delay between requests in milliseconds.          | `1000`                 |

### Example Usage

```json
{
  "maxPages": 5,
  "outputFormat": "JSON",
  "includeImages": true,
  "delay": 1000
}
```

#### Example Output JSON

```json
{
  "status": "success",
  "data": [
    {
      "page": 1,
      "content": "Sample content from page 1"
    },
    {
      "page": 2,
      "content": "Sample content from page 2"
    }
  ]
}
```

### Use Cases

- **Market Research and Analysis**: Understand market trends and consumer behavior.
- **Competitive Intelligence**: Monitor competitor strategies and pricing.
- **Price Monitoring**: Track price changes across different sellers.
- **Content Aggregation**: Collect data for content creation and analysis.
- **Academic Research**: Gather data for academic studies and publications.
- **Business Automation**: Automate data collection processes for efficiency.

### Installation and Usage

1. Search for "Amazon Selleranalytics Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output data is structured with key fields such as `status`, `data`, and `page`. Each entry contains detailed information extracted from the specified pages.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

***

### PART 2: Generate Description (STRICT: 280-295 characters ONLY)

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "Urls": [
    "https://www.plottdata.com/blogs/amazon-seller-central-analytics?utm_source=chatgpt.com"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/amazon-selleranalytics-spider").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("getdataforme/amazon-selleranalytics-spider").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 getdataforme/amazon-selleranalytics-spider --silent --output-dataset

```

## MCP server setup

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

```

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/2pQsMstdufvNK88T2/builds/WTzmirre22r0M95RP/openapi.json