ScrapeStorm Tutorial : How to scrape data to get the Popular trend of sneakers from SHOES.COM
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:
Step 1.Creating a task,enter multiple URLs
Open ScrapeStorm, select “Smart Mode”, click “Start”,enter the above URLs
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：