If you own an older Renault (models from around 2012–2018), R-Link Explorer is the original system. However, note that 3G cellular networks in many countries are being phased out. As a result, live traffic and connected services may no longer work on older units. For newer Renault models (Clio V, Megane IV, Captur II, etc.), R-Link has been replaced by the EASY LINK system – an upgraded version with 4G connectivity, over-the-air updates, and a larger screen. If you’re shopping used, check which system the car has.
Sometimes you don't have an API key. You can use the rvest package to scrape publicly visible links from a page. Note: Always respect robots.txt and terms of service.
library(rvest)url <- "https://en.wikipedia.org/wiki/Web_scraping" page <- read_html(url)
As of 2025, the cutting edge of R Link Explorer involves Large Language Models (LLMs). Imagine using R to call OpenAI’s API: r link explorer
# Pseudo-code for AI link classification links_to_classify <- c("https://spammy-site.com", "https://nytimes.com/feature")
for (link in links_to_classify) prompt <- paste("Classify this link as 'toxic' or 'natural':", link) ai_response <- openai_create_completion(prompt) print(ai_response)By combining R’s data manipulation with AI’s semantic understanding, you can automate link audits at scale. If you own an older Renault (models from
Ready to begin? Open RStudio, install
tidyverse, and make your first call to the Moz API. The web is a web of links—and with R Link Explorer, you finally hold the compass.
Have you used R for link analysis? Share your scripts and visualizations in the comments below. For more advanced tutorials on SEO data science, subscribe to our newsletter.
summary(lost_links$domain_authority)
The Discovery: The client had removed a "Blogroll" section from their site. 200+ links from low-quality directories disappeared. The drop was actually healthy. R Link Explorer saved them from disavowing good links.
Commercial tools offer standard "bubble" visualizations. With R, you can program the nodes to change size based on Domain Authority, change color based on page type (e.g., Blog vs. Product), or hide specific clusters with a single line of code. You aren't just viewing data; you are designing a view for your data. By combining R’s data manipulation with AI’s semantic
For those who don’t want to rely on third-party APIs, Rcrawler allows you to crawl and map your own link graph.
library(Rcrawler)
# Crawl a domain and extract all outbound links
Rcrawler(Website = "https://yoursite.com", MaxDepth = 2, ExtractXpath = "//a/@href")