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How to Import Blog Post Data from WordPress

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Requirements

  • A Displayr document.
  • A WordPress website.

Method

1. Select Data Sets > Plus (+) > R.

2. Enter a name for the data set under Name.

3. Paste the below R code where it states "Enter your R code here":

# GET request
library(httr)
site = GET("http://www.yoursite.com/wp-json/wp/v2/posts")

# Find max number of pages
tot = headers(site)$`x-wp-total`
maxPages = ceiling(as.numeric(tot)/100)

# Loop through all pages and return specified fields
dflist = list()

for (i in 1: maxPages) {
post = GET(paste0("http://www.yoursite.com/wp-json/wp/v2/posts?page=", i, "&per_page=100"))
data = content(post)
Date = sapply(data, function(x) return(x$date))
Date = lubridate::ymd_hms(Date) # Correctly format date
Title = sapply(data, function(x) return(x$title$rendered))
df = data.frame(Date, Title)
dflist[[i]] = df
}
posts = do.call(rbind, dflist)
  • Note, you will need to replace www.yoursite.com with the name of your website, and you may need "https" rather than "http" depending on your setup.
  • The code works out the maximum number of pages based on the total records, and then loops through each page to store this as a data frame within a list called dflist.
  • In this example, we are returning the date and title of each blog post using the sapply method. The $ name within the function (i.e. date) corresponds to the WordPress API field name. See WordPress API Name References for details.
  • Finally, we use the do.call command to combine all the rows of the list using rbind.

3. OPTIONAL: If you wish to make this call take place daily, you can add the below lines to the top of your R code:

library(flipTime)
UpdateEvery(1, "days", options = "wakeup")

4. OPTIONAL: You can test the R code first via Calculation > Custom Code until you have it working as this method allows for troubleshooting.

 

Next

How to Import Data into Displayr

 

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