Overview

This app scrapes brief product information from Rakuten Japan's search result list URLs, capable of collecting up to 500 product entries per URL. It's ideal for users needing to analyze product data for market research or competitive tracking, providing a streamlined process to gather and organize data from multiple search results.

How to Use

1. Download the app from the Octoparse AI app store.

2. Launch the app in your list.

1. Parameter Description

1. FilePath： The path to the text file containing the URLs you want to scrape. For example: https://search.rakuten.co.jp/search/mall/%E3%83%AA%E3%83%A5%E3%83%83%E3%82%AF/ https://search.rakuten.co.jp/search/mall/%E3%83%98%E3%83%83%E3%83%89%E3%83%9B%E3%83%B3/ https://search.rakuten.co.jp/search/mall/%E7%BE%8E%E5%AE%B9%E6%B6%B2/
2. ExportFolderPath：Path of the folder where collected data will be exported.

3. Click "Run application"

4. Output

The application will scrape up to 500 product entries from each URL provided in the text file and save the results in an Excel format in your designated output folder.

Notes

• Do not use the mouse or keyboard while the app is running to avoid interruptions.
• This app only runs in the Edge browser.
• Make sure you've opened the relevant Temu site in Edge and can search for products without encountering captchas before running the application.
• No additional Python packages are required for this application.

Troubleshooting

Encounter obstacles but don't know how to resolve them when executing the app?

Please contact our support team at [email protected] to find the way out!

To help us better understand your issue, follow the steps below to export your running logs: