How can I check the fraud score for an IP address using R?

To find out the IP2Proxy fraud score for an IP address using IP2Location.io in R, you can use the IP2Location.io API to retrieve geolocation and related data.

  1. We'll assume that you have already installed R & RStudio and we won't cover that here. You will also need a paid subscription to the Security plan. Subscribe now!
  2. In the R Console, run the command below to install the dependencies if you don't have them installed.
    R 
    
install.packages(c("httr", "jsonlite"))
  3. Save the below code into a file called test.R on your computer.
    R 
    
library(httr)
library(jsonlite)

ip = "8.8.8.8"
key = "YOUR_API_KEY"
res <- GET("https://api.ip2location.io/",
           query = list(format = "json", ip = ip, key = key))

if (res$status_code == 200) {
  raw <- rawToChar(res$content)
  data <- fromJSON(raw)
  if (!is.null(data$fraud_score)) {
    print(paste0("The fraud score for IP ", ip, " is ", data$fraud_score, "."))
  } else{
    print("ERROR: The fraud_score field requires a paid subscription to the Security plan.")
  }
} else if ((res$status_code == 400) || (res$status_code == 401)) {
  raw <- rawToChar(res$content)
  data <- fromJSON(raw)
  if (!is.null(data$error)) {
    print(paste0("ERROR: ", data$error$error_message))
  } else {
    print(data)
  }
} else {
  print(paste0("ERROR: ", res$status_code))
}
  4. In the RStudio, open the test.R, select all of the codes and run them.

This script will output the IP2Proxy fraud score of specified IP address. Make sure to replace 8.8.8.8 with the IP address you want and replace YOUR_API_KEY to your own API key.

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