Getting Started Main Features Examples

ScrapeStorm Tutorial : How to scrape data to get the Popular trend of sneakers from SHOES.COM

2018-10-26 14:58:20
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Abstract:Abstract:This tutorial explains in detail how to extract data from shopping websites.

We use scrapestorm to extract the price, discount, rating, etc. of sneakers. By comparing the popular styles of sneakers and the satisfaction of buyers with the data, we can get the trend of the future.

ScrapeStorm for Windows, MacOS and Linux Download:

http://www.scrapestorm.com/

 

Extracted URLs

https://www.shoes.com/dansko-charlie-perforated-sneaker/798577/1803312

https://www.shoes.com/converse-chuck-taylor-all-star-low-sneaker/415611/884030

https://www.shoes.com/skechers-gowalk-joy-slip-on-shoe/826340/1807398

 

Step 1.Creating a task,enter multiple URLs

Open ScrapeStorm, select “Smart Mode”, click “Start”,enter the above URLs

P.S.

1.Enter multiple URLs and keep one line.

2.ScrapeStorm also supports dynamically generating batch URLs.You can select the parameters that need to be changed, and set the range of variation.

 

Step 2. Extracting data

The software will automatically load the first URL,then it will identify the data to be extracted.

Click “Add Field” button and then select the element in web page to extract

Change the page type“List”to “Single.

 

Step 3.Starting to extract

Click “Start”, ScrapeStorm will automatically extract the data to be extracted from all the URLs~

Click “Export” to download your data.

After the extraction is completed, you can export the data to a local file (including excel, html, csv, etc.) and a database.

The following image is a screenshot of the file exported to excel2007:

If you are still confused about the process, please watch the tutorial video as below: