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Leverage BigQuery for Advanced Internal Link Analysis

avenueadsBy avenueads8 May 2024No Comments2 Mins Read
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Leverage BigQuery for Advanced Internal Link Analysis
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Conditions

First, you may want a CSV containing all of your inner hyperlinks.

On the very least, your file ought to have a column for the supply (origin of the interior hyperlink) and a column for the vacation spot (the place the hyperlink leads). Nonetheless, if potential, embrace extra columns for the anchor, standing code, and kind of hyperlink (reminiscent of picture, textual content, and hreflang) to complement your evaluation.

For instance, I used information from my company’s web site. Whereas it’s a small web site with 1,678 pages (together with redirects and inaccurate pages), it incorporates 338,656 hyperlinks when accounting for CSS, JavaScript, sitemaps, and extra. Though manageable in a uncooked Excel sheet, making use of customized formulation and filters might turn into difficult.

Beneath are my CSV columns:

  • Kind: Identifies whether or not the hyperlink is from a sitemap, hreflang, canonical, easy hyperlink, picture, CSS, and so forth.

  • Supply: The web page the place the hyperlink is positioned.

  • Vacation spot: Factors to the goal web page.

  • Alt Textual content: If the hyperlink is a picture, this column incorporates its alt attribute textual content.

  • Anchor: The HTTP standing code of the vacation spot.

  • Standing: The standing of the vacation spot (e.g., canonicalized, non-indexable).

  • Observe: Helpful for figuring out if the hyperlink impacts web optimization.

  • Hyperlink place: Signifies if the hyperlink is within the navigation, head, content material, or elsewhere. Make sure the device settings are correct.

  • Hyperlink origin: Specifies whether or not the hyperlink is just current within the HTML or the rendered HTML post-JavaScript execution. That is useful in troubleshooting JavaScript-rich web sites.

With the file prepared and a Google Cloud account arrange, what’s subsequent?

There are two choices:

1. In case your file is below 100 MB, add it immediately through the BigQuery interface

2. For bigger information, use Cloud Storage.

Though the method is just like the primary choice, I will discover the second choice (as my file exceeds 100 MB).

Create a bucket and cargo the CSV

1. Return to the Cloud Hub and click on “Cloud Storage” on the backside left.

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