ScrapeStorm Tutorial : How to scrape data from Adidas when page data is not automatically recognized
Abstract：This tutorial explains how to extract data when web page data cannot be recognized by ScrapeStorm's smart mode.
Adidas is a German sporting goods manufacturerThis tutorial explains in the case that the webpage data cannot be extracted smoothly, you can clear the automatically recognized data and manually select the required fields.
ScrapeStorm for Windows, MacOS and Linux Download:
Step 1.Creating a task.
Open ScrapeStorm, select “Smart Mode”, click “Start”.
Input a listing url,like: https://www.adidas.es/calzado-originals-hombre, then click “Create”.
Wait a minute, ScrapeStorm will extract data from the listing url automatically.
Step 2. Manually select fields
If the webpage data cannot be extracted smoothly, you can clear the automatically recognized data and manually select the required fields.
Click “Add Field” button and then select the element you want to scrape.
Rename the fields.
Step 3. Starting to extract and export data
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：