This is scraped from every page but is the text of the meta description of a page. The Meta Description is an indirect ranking factor, as it strongly affects click through rate. As such, scraping, logging and optimising meta descriptions is very commonplace in SEO.
Within the column for ‘meta description’, there four values that can be returned for this which are as follows:
Contents on the meta description tag
When the contents of the meta description tag is empty
When the meta description tag is not present on a HTML/Text page
If the URL is not a HTML/Text page or is inaccessible
This is the content of the meta description tag, scraped from the URL, we collect the data from this tag highlighted in red font in the below example:
- <meta name=" description" content="Really compelling meta description encouraging user to click with a good USP and call to action”/>
This is taken from the first tag of this kind we find on the page and in the correct location, if there are more than one version of these tag on a page.
If there is just one version of the meta description tag on a page, we scrape the contents of this tag, regardless of whether the tag is in the wrong part of the source code. Even if the tag has other code-based implementation problems we may still be able to scrape the contents of the tag successfully.
The examples below show how meta data can be used for SEO.
There are a range of errors that an SEO typically looks for when it comes to Meta descriptions.
- Too Short
- Too Long
- Implementation Errors
- Placeholder Text
- Multiple on the Same page
Meta descriptions also benefit from containing the target keyword/s of the page, you can use this data to establish if this is the case.
Using our data, you can help inform SEO recommendations for improving and optimising these tags. Although using a keyword isn’t a direct ranking factor, there are certainly best practices when it comes to making a great meta description.
The list of guides below might be useful if you are analysing this data and want to know more about it:
Related column headers in Raptor website crawler reports:
- Meta Description (Length)
- Meta Keywords
- Meta Keywords (Length)
- Page Title
- Page Title (Length)
- Meta Data
There are many significant benefits to analysing meta descriptions, we have detailed most of the more popular ones below:
- Identify pages missing meta descriptions
- Identify pages with duplicate meta descriptions
- Identify pages with Poorly Implemented meta descriptions
- Identify all meta descriptions issues
- Optimise a site’s Meta descriptions
- Scrape keywords from competitor sites
- Map new meta data against current meta descriptions
- Scrape competitor meta descriptions
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