How to scrape Macy’s

The eCommerce industry is highly competitive.

It is projected that retail e-commerce sales will be amounted to approximately 8.1 trillion dollars by 2026.

Thus, eCommerce businesses should strive to profit from any insight that can help them develop strategies to be ahead of competition while saving money and time.

Web scraping can be your time-saving and cost-effective solution. 

But why scrape Macy’s? 

Macy’s is one of the leading US e-commerce platforms.

SimilarWeb ranked them as the top U.S. retail apparel site with over 55.7 million monthly visits in its most recent analysis.

So, Macy’s data is a real goldmine for any fashion industry business with thousands of products listed on this website.

In this tutorial, we will uncover how to scrape any category data using our ready-made Macy’s category listings recipe.

Here we go.

Step 1: Go to the Library of Scraping Templates

From your dashboard, select Scraping Templates to access the public scraping recipes. 

Step 2: Capture the desired sales category page URL(s)

Now, go to https://www.macys.com/ and capture your desired category page URL(s).
For example, 

Step 3: Select “Macys product listings” recipe

From the Scraping Templates, select the “Macys product listings” recipe, and click the “Use in a workflow” option.

Then, click Continue. 

Step 4: Add captured page URL(s)

Once the workflow is created, choose the Data Input automation and add the previously captured page URL(s) using the Manual paste/list of inputs option. You can add a single URL or bulk URLs.

Step 5: Run the workflow

Run the workflow to get the results. 

Step 6: View and Save the results

Once the workflow has finished running, you can view the results and export them to CSV or Google Sheets.

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