In MarekProkop/keywordr: Research and classify search engine queries in R!

knitr::opts_chunk$set(
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The keywordr SEO package for R

The keywordr package provides an efficient and user-friendly framework for keyword research. The results are typically used to optimize websites for search engines, create content strategy, design information architecture for websites, etc.

Installation

You can install the development version of keywordr from GitHub with:

# install.packages("devtools")
devtools::install_github("MarekProkop/keywordr", build_vignettes = TRUE)

Note: You must have R version 4.1.0 because the package makes use of the native R pipe and the new syntax for anonymous functions.

Example

This is a basic example which shows you how to use the package:

Attache packages

library(tidyverse)
library(keywordr)

Create a kwresearch object and import queries

input_data <- tribble(
  ~query,             ~volume,
  "seo",                96000,
  "seo ye-ji",          22000,
  "seo meaning",         6700,
  "seo services",        6400,
  "what is a seo",       5300,
  "seo london",          5000,
  "what is seo",         4800,
  "seo agency",          4300,
)

kwr <- kwresearch(input_data)

Browse imported queries

kwr_queries(kwr)

Prune unwanted queries

recipe_file <- file.path(tempdir(), "recipes.yml")

kwr_add_pattern("ye-ji", recipe_file, recipe_type = "remove")

kwr <- kwr |> 
  kwr_prune(recipe_file)

Check pruned queries

kwr_queries(kwr)

Explore queries

kwr |> kwr_ngrams()

Classify queries

kwr_add_pattern(
  pattern = "agenc",
  recipe_file = recipe_file,
  recipe_type = "label",
  dim_name = "bussiness_type",
  value = "agency"
)
kwr_add_pattern(
  pattern = "meaning",
  recipe_file = recipe_file,
  recipe_type = "label",
  dim_name = "info"
)
kwr_add_pattern(
  pattern = "what is",
  recipe_file = recipe_file,
  recipe_type = "label",
  dim_name = "info"
)

kwr <- kwr |> 
  kwr_classify(recipe_file)

Check classified queries

kwr_queries(kwr) |> 
  select(1:5)

Please see vignette("workflow") for a more detailed example.

MarekProkop/keywordr documentation built on Nov. 6, 2022, 11:31 a.m.