If you’ve got an HTML page that contains structured data, you may have seen an error message labeled “Unparsable Structured Data Error.” This means your site’s code is not complete or valid. While the error itself doesn’t hurt your rankings, it does signal to Google that your site is not maintained properly. The good news is that you can ignore unparsable structured data errors if your site is correctly structured.
Google Search Console is fixing this problem and will relabel structured data errors as warnings. This means that the issue will move from the critical error table to the warnings table, with a pre-zero count. It also means that rich results will no longer be impacted.
Adding structured data to your site will help Google better understand your page’s content. In addition to improving your CTR, structured data will also increase your site’s traffic, and ultimately, sales. For these reasons, SEOs often add structured data markup to their websites.
Using validations to resolve errors is a good way to reduce the number of these errors. I did this a couple of days prior to the 22nd and noticed a steady decline in errors. In the following days, the count of these errors went down until they were zero, indicating that there were no errors.
Using Google Search Console is a great way to track the performance of your site. It will also help you optimize your content, get it indexed on Google, and measure your traffic. It will also alert you when you have issues. It will help you to understand what Google thinks about your pages and make changes that are required to address these problems.
You can add schema markup to your website using Google’s Structured Data Markup Helper. To use this tool, you need to have a Google account. Once you log in, you will be able to select from a list of schema types and paste your HTML into the tool.
Some review-type results have been upgraded to product type results, and others have been upgraded to product-type results. This change may be the result of an underlying logging error. This error also led to a decrease in Review snippet impressions. However, the product-type result impressions are increasing.