R interface with Google Search Console (formally Google Webmaster Tools) API v3.
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googleAuthR from CRAN:
searchConsoleR 0.2.0 from CRAN:
If you want the development version of
searchConsoleR on Github:
Authentication can be done locally or within a Shiny app. See a very bare bones example here: https://mark.shinyapps.io/searchConsoleRDemo/
search_analytics()- download Google SEO data into an R dataframe.
list_websites()- list websites in your Google Search Console.
add_website()- add a website to your Google Search Console.
delete_website()- delete a website from your Google Search Console.
list_sitemaps()- list sitemaps recognised in Google Search Console.
add_sitemap()- add sitemap URL location to Google Search Console.
delete_sitemap()- remove sitemap URL location in Google Search Console.
crawl_errors()- list various types of crawl errors googlebot has found.
list_crawl_error_samples()- get a list of example URLs with errors.
error_sample_url()- show details about an example URL error (for example, links to a 404 URL)
fix_sample_url()- mark a URL as fixed.
scr_auth()- main authentication function. Works locally and within a Shiny environment.
Work flow always starts with authenticating with Google:
Your browser window should open up and go through the Google sign in OAuth2 flow. Verify with a user that has Search Console access to the websites you want to work with.
Check out the documentation of any function for a guide on what else can be done.
If you authenticate ok, you should be able to see a list of your websites in the Search Console via:
sc_websites <- list_websites() sc_websites
We'll need one unique
sc_websites$siteUrl for the majority of the other functions.
Most people will find the Search Analytics most useful. All methods from the web interface are available.
Here is an example query, which downloads the top 100 rows of queries per page for the month of July 2015, for United Kingdom desktop web searches:
gbr_desktop_queries <- search_analytics("http://example.com", "2015-07-01", "2015-07-31", c("query", "page"), dimensionFilterExp = c("device==DESKTOP","country==GBR"), searchType="web", rowLimit = 100)
For a lot more details see:
You can get more than the standard 5000 rows via batching. There are two methods available, one via a API call per date, the other using the APIs
The date method gets more impressions for 0 click rows, the batch method is quicker but gets just rows with clicks.
test0 <- search_analytics("http://www.example.co.uk", dimensions = c("date","query","page","country"), rowLimit = 200000, walk_data = "byBatch") Batching data via method: byBatch ### test0 has 13063 rows test <- search_analytics("http://www.example.co.uk", dimensions = c("date","query","page","country"), walk_data = "byDate") Batching data via method: byDate ### test has 419957 rows > sum(test0$clicks)  12866 > sum(test$clicks)  12826 > sum(test$impressions)  1420217 > sum(test0$impressions)  441029 >
Here is an example for downloading daily data and exporting to .csv
## A script to download and archive Google search analytics ## ## Demo of searchConsoleR R package. ## ## Version 1 - 10th August 2015 ## ## Mark Edmondson (http://markedmondson.me) library(searchConsoleR) ## change this to the website you want to download data for. Include http website <- "http://copenhagenish.me" ## data is in search console reliably 3 days ago, so we donwnload from then ## today - 3 days start <- Sys.Date() - 3 ## one days data, but change it as needed end <- Sys.Date() - 3 ## what to download, choose between data, query, page, device, country download_dimensions <- c('date','query') ## what type of Google search, choose between 'web', 'video' or 'image' type <- c('web') ## other options available, check out ?search_analytics in the R console ## Authorize script with Search Console. ## First time you will need to login to Google, ## but should auto-refresh after that so can be put in ## Authorize script with an account that has access to website. scr_auth() ## first time stop here and wait for authorisation ## get the search analytics data data <- search_analytics(siteURL = website, startDate = start, endDate = end, dimensions = download_dimensions, searchType = type) ## do stuff to the data ## combine with Google Analytics, filter, apply other stats etc. ## write a csv to a nice filename filename <- paste("search_analytics", Sys.Date(), paste(download_dimensions, collapse = "",sep=""), type,".csv",sep="-") write.csv(data, filename)
This parameter is used in search_analytics to filter the result.
Filter using this format:
filter operator expression
Filter can be one of:
Operator can be one of
~~, ==, !~, != where the symbols mean:
queryis free text.
countrymust be the three letter country code as per the the ISO 3166-1 alpha-3 standard. e.g. USA, GBR = United Kingdom, DNK = Denmark
devicemust be one of: 'MOBILE', 'DESKTOP' or 'TABLET'
You can have multiple
AND filters by putting them in a character vector. The below looks for desktop searches in the United Kingdom, not showing the homepage and not including queries containing 'brandterm'.
c("device==DESKTOP","country==GBR", "page!=/home", "query!~brandterm")
OR filters aren't yet supported in the API.
searchConsoleR uses its own Google API project to grant requests, but if you want to use your own keys:
searchConsoleRhas been loaded:
options("searchConsoleR.client_id" = "YOUR_CLIENT_ID")
options("searchConsoleR.client_secret" = "YOUR_CLIENT_SECRET")
options("searchConsoleR.webapp.client_id" = "YOUR_CLIENT_ID")
options("searchConsoleR.webapp.client_secret" = "YOUR_CLIENT_SECRET")