get data from internet in r

There are several ways to get data from the internet in R. One way is to use web scraping techniques to extract data from websites. In order to do this, we need to understand the structure of the website's HTML and CSS. We can then use the rvest package to scrape the website and extract the relevant information using regular expressions.

Here's an example of how to use web scraping in R to get data from a website:

main.r
library(rvest)

# specify the url to scrape
url <- "https://www.example.com/"

# read in the html content
page <- read_html(url)

# extract the relevant data using css selectors
data <- page %>%
  html_nodes(".data-class") %>%
  html_text()

# clean up the data using regular expressions
clean_data <- gsub("[^[:alnum:][:space:]\\.-]", "", data)

# convert the data to a data frame
df <- data.frame(clean_data)
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In this example, we first specify the URL of the website we want to scrape. We then use the read_html() function from the rvest package to read in the HTML content of the page. We can then use CSS selectors to extract the relevant data, which we do using the html_nodes() function. We then use the html_text() function to extract the text content of the selected nodes, and clean up the data using regular expressions with the gsub() function. Finally, we convert the data to a data frame for further analysis.