How to Use Amazon Search Result Scraper to Extract Amazon Product Details

Introduction

The Amazon Search Result Scraper is a powerful tool for extracting product information from Amazon search result pages. This user manual will guide you through setting up a scraping task, understanding its input/output, and leveraging its features for data collection and analysis.

Features

• Customizable Input: Accepts URLs directly or via file upload.
• Dynamic Output Schema: Provides a structured schema based on the extracted data.
• Flexible Scheduling: Run tasks immediately or schedule them using a cron expression.
• Sample Data Visualization: Preview extracted data in a tabular format.

Sections Overview

The scraper's interface is divided into the following sections:

1. Overview: Provides a high-level description and snapshot of the scraper.
2. Sample Data: Displays a preview of extracted data.
3. Output Schema: Details the structure of the scraped data.
4. Use Cases: Highlights potential applications.

Input Requirements

1. Source URLs

The scraper accepts one or more Amazon search result URLs as input. You can:

• Paste URLs directly into the provided text area.
• Upload a .txt or .csv file containing URLs.

Example Input:

https://www.amazon.com/s?k=smartphone
https://www.amazon.com/s?k=laptop

2. Row Limit (Optional)

You can limit the number of rows to scrape. By default, the scraper extracts all available rows.

Output

1. Sample Data

The scraper generates a preview of extracted data in a tabular format. Below is a typical example:

| Product Name | Price | Rating | Number of Reviews | | ------------ | ----- | ------ | ----------------- | | Smartphone X | $499 | 4.5 | 3200 | | Laptop Y | $899 | 4.0 | 1500 |

2. Output Schema

The output schema specifies the fields and data types included in the scraped results:

| Field | Type | | --------------- | ------- | | ProductName | String | | Price | String | | Rating | Float | | NumberOfReviews | Integer |

How to Create a Scraping Task

The process involves three simple steps:

Step 1: Provide Source URLs

• Navigate to the Create New Task tab.
• Choose between Paste URLs or Upload File.
• Enter or upload the desired Amazon search result URLs.

Step 2: Specify Maximum Rows (Optional)

• Toggle the Limit Rows option.
• Enter the maximum number of rows to extract.

Step 3: Schedule the Job

• Choose Run Now or Schedule for Future.
• If scheduling, use the cron expression interface to define the schedule.

Use Cases

The Amazon Search Result Scraper is designed for diverse applications, such as:

• Market Research: Analyze product listings for pricing trends and competitor insights.
• Inventory Tracking: Monitor product availability and updates.
• Data Analysis: Collect data for training machine learning models.
• Affiliate Marketing: Generate lists of products for content creation and promotion.

Additional Features

Similar Scrapers

Explore scrapers with similar functionalities to expand your data collection capabilities.

Company-Specific Scrapers

Access tools tailored for specific companies to get more focused data.

Getting Started

Follow these steps to start using the scraper:

1. Log in to your account.
2. Navigate to the Scrapers Dashboard.
3. Select the Amazon Search Result Scraper.
4. Follow the instructions in the "Create New Task" section.

For further assistance, visit our documentation or contact support.