Getting Started Main Features Examples

How to Scrape Product Data from eBay

2018-10-19 13:58:15
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Abstract:In this article, we will tell you how to scrape product data from eBay using ScrapeStorm’s "Smart mode".

In this article, we will tell you how to scrape product data from eBay using ScrapeStorm’s “Smart mode”.

Introduction to the scraping tool

ScrapeStorm is a new generation of Web Scraping Tool based on artificial intelligence technology. It is the first scraper to support both Windows, Mac and Linux operating systems.

Introduction to the scraping object

Founded in September 1995, eBay is currently one of the world’s largest online trading platforms, providing an international online trading platform for individual and corporate users. eBay.com is an Internet-based community where buyers and sellers browse and buy and sell goods together. The eBay trading platform is fully automated, offering auction services by category, allowing sellers to list things for sale, and buyers quoting things of interest.

Scraping fields

title, title_link, image, price, sold, freight, viewed per day, quantity sold, sold %, returns

Function point directory

How to manually set the page

How to extract the list page plus the detail page

How to download images

Preview of the scraped result

Export to Excel2007:

Export images to local:

1. Download and install ScrapeStorm, then register and log in

(1) Open the ScrapeStorm official website, download and install the latest version.

(2) Click Register/Login to register a new account and then log in to ScrapeStorm.

2. Create a task

(1) Copy the URL

Click here to learn more about how to enter the URL correctly.

(2) Create a new smart mode task

You can create a new scraping task directly on the software, or you can create a task by importing rules.

Click here to learn how to import and export scraping rule.

3. Configure the scraping rules

(1) Set the fields

Intelligent mode automatically recognizes the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on.

Click here to learn how to how to configure the extracted field.

(2) Manually set the page

Some web pages have special buttons on the next page, and the system may not recognize them. In this case, you need to manually set the page to “Select Page Button”, then select the button for “NEXT” in the page.

Click here to learn how to manually select the page.

(3) Use the “Scrape into” feature to scrape the detail page data

There is only partial data on the list page, you can use the “scrape into” function to enter the detail page to scrape the data.

Click here to learn how to extract the list page plus the detail page.

4. Set up and start the scraping task

(1) Running and Anti-block settings

Click “Setting”, set waiting time based on web page open speed. You can check “Block Images” and “Block Ads”. The anti-block settings follow the system default settings. Then click “Save”.

Click here to learn more about how to configure the scraping task.

P.S. “Block Images” will reduce the load time and speed up the scraping process. And this operation does not affect the scraping and downloading of images.

(2) Start scraping data

Premium Plan and above users can use “Scheduled job and “Sync to Database”. If you want to download images, you can check “Download images while running”. Then click “Start”.

Click here to learn about scheduled job.

Click here to learn about sync to database.

Click here to learn about download images.

(3) Wait a moment, you will see the data being scraped.

5. Export and view the data

Choose the format to export according to your needs.

ScrapeStorm provides a variety of export methods to export locally, such as excel, csv, html, txt or database. Professional Plan and above users can also post directly to wordpress.

Click here to learn more about how to view the extraction results and clear the extracted data.

Click here to learn more about how to export the result of extraction.

Here is another tutorial for e-commerce websites:

How to scrape product data from Amazon