R Link Explorer

Here’s a well-structured, informative text about R-Link Explorer, suitable for a website, brochure, or presentation.

Filter for external (starting with http)

colnames(links) <- "raw_links" external_links <- links %>% filter(grepl("^http", raw_links)) head(external_links) r link explorer

While basic, this forms the foundation of a custom R Link Explorer crawler. While basic, this forms the foundation of a

3. httr + jsonlite – Direct API Calls

If an SEO tool has a REST API (Ahrefs, Majestic, SEMrush), you can call it directly. query = list(target = "example.com"

library(httr)
library(jsonlite)
response <- GET("https://api.ahrefs.com/v3/site-explorer/backlinks",
                query = list(target = "example.com", token = "your_token"))
data <- fromJSON(content(response, "text"))

Why Build a Link Explorer in R?

Most SEOs rely on SaaS dashboards. However, using R gives you three distinct advantages:

1. Cost Control: APIs charge per request. R lets you manage rate limits efficiently and store raw data locally without paying for seat licenses.
2. Custom Metrics: Do you care more about "Trust Flow" or raw domain count? You can build weighted algorithms that fit your niche.
3. Reproducibility: Run the same analysis on 100 competitors every Monday with the click of a button.