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oncrawlR  

Machine Learning for S.E.O
View on CRAN: Click here


Download and install oncrawlR package within the R console
Install from CRAN:
install.packages("oncrawlR")

Install from Github:
library("remotes")
install_github("cran/oncrawlR")

Install by package version:
library("remotes")
install_version("oncrawlR", "0.2.0")



Attach the package and use:
library("oncrawlR")
Maintained by
Vincent Terrasi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-28
Latest Update: 2020-01-31
Description:
Measures different aspects of page content, structure and performance for SEO (Search Engine Optimization). Aspects covered include HTML tags used in SEO, duplicate and near-duplicate content, structured data, on-site linking structure and popularity transfer, and many other amazing things. This package can be used to generate a real, full SEO audit report, which serves to detect errors or inefficiencies on a page that can be corrected in order to optimise its performance on search engines.
How to cite:
Vincent Terrasi (2019). oncrawlR: Machine Learning for S.E.O. R package version 0.2.0, https://cran.r-project.org/web/packages/oncrawlR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.5 (2019-06-28 15:40), 0.1.6 (2019-08-05 23:50), 0.1.8 (2019-11-18 17:40)
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Complete documentation for oncrawlR
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Maintainer: Qi Qin (view profile)

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