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Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python
book

Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python

by Andreas Voniatis
March 2023
Intermediate to advanced
596 pages
12h 1m
English
Apress
Content preview from Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
A. VoniatisData-Driven SEO with Pythonhttps://doi.org/10.1007/978-1-4842-9175-7_9

9. Site Migration Planning

Andreas Voniatis1  
(1)
Surrey, UK
 
This chapter covers site migration mapping so that you could set the structure of your new site and semiautomate the formation of your migration URLs. The following are some of the techniques we’ll be using:
  • String manipulation

  • Iterating through dataframe rows by converting these into a list

  • Using natural language processing (NLP) to compare URL strings

While these techniques will speed up the processing of data for a site migration, they can easily be applied to other use cases.

Verifying Traffic and Ranking Changes

Though ...
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Publisher Resources

ISBN: 9781484291757Purchase LinkPublisher Website