#' Export the referring domains that contain backlinks to the target.
#'
#' @param target character string. Aim of a request: a domain, a directory or a URL
#' @param token character string. Authentication token. Should be available through enviromental variables
#' after authentication with function \code{rah_auth()}
#' @param mode character string. Mode of operation: exact, domain, subdomains or prefix. See more in Details section
#' @param metrics character vector of columns to select. See more in Details section
#' @param limit integer. Number of results to return
#' @param order_by character vector of columns to sort on. See more in Details section
#' @param where character string - a condition created by \code{rah_condition_set()} function that generates proper
#' \code{"where"} condition to satisfy. See more in Details section
#' @param having character string - a condition created by \code{rah_condition_set()} function that generates proper
#' \code{"having"} condition to satisfy. See more in Details section
#'
#' @source \url{https://ahrefs.com/api/documentation}
#'
#' @details
#' \strong{1. available metrics} - you can select which columns (metrics) you want to download and which one
#' would be useful in filtering, \strong{BUT not all of them can always be used} in \code{"where"} &
#' \code{"having"} conditions:
#'
#' \tabular{lllll}{
#' Column \tab Type \tab Where \tab Having \tab Description\cr
#' url \tab string \tab + \tab - \tab Target of the request. \cr
#' ip \tab string \tab + \tab - \tab IP address of the referring domain that links to the target. \cr
#' refdomain \tab string \tab + \tab + \tab The referring domain that contains at least one link to the target. \cr
#' backlinks \tab int \tab + \tab + \tab Number of backlinks found in the referring domain that link to the target. \cr
#' refpages \tab int \tab + \tab + \tab Number of referring pages found in the referring domain that link to the target. \cr
#' first_seen \tab date \tab + \tab + \tab Least recent date when the Ahrefs crawler was able to visit the backlinks in the referring domain.\cr
#' last_visited \tab date \tab + \tab + \tab Most recent date when the Ahrefs crawler was able to visit the backlinks in the referring domain. \cr
#' domain_rating \tab int \tab - \tab + \tab Domain Rating of the referring domain.
#' }
#'
#' \strong{2. \code{"mode"}} parameter can take 4 different values that will affect how the results will be grouped.
#'
#' Example of URL directory with folder:
#' \itemize{
#' \item \strong{Example URL:} ahrefs.com/api/
#' \item \strong{exact:} ahrefs.com/api/
#' \item \strong{domain:} ahrefs.com/*
#' \item \strong{subdomains:} *ahrefs.com/*
#' \item \strong{prefix:} ahrefs.com/api/*
#' }
#' Example of URL directory with subdomain:
#' \itemize{
#' \item \strong{Example URL:} apiv2.ahrefs.com
#' \item \strong{exact:} apiv2.ahrefs.com/
#' \item \strong{domain:} apiv2.ahrefs.com/*
#' \item \strong{subdomains:} *apiv2.ahrefs.com/*
#' \item \strong{prefix:} apiv2.ahrefs.com/*
#' }
#'
#' \strong{3. \code{"order_by"}} parameter is a character string that forces sorting of the results. Structure:
#' \itemize{
#' \item \strong{Structure:} "\code{column_name}:asc|desc"
#' \item \strong{Single column example:} "first_seen:asc" ~ this sorts results by \code{first_seen}
#' column in ascending order
#' \item \strong{Multi column example:} "last_seen:desc,first_seen:asc" ~ this sorts results
#' by 1) \code{last_seen} column in descending order, and next by 2) \code{first_seen} column in
#' ascending order
#' }
#'
#' \strong{4. \code{"where"} & \code{"having"}} are \strong{EXPERIMENTAL} parameters of condition sets
#' (character strings) that control filtering the results. To create arguments:
#' \enumerate{
#' \item use \code{rah_condition()} function to create a single condition, for example:
#' \code{cond_1 <- rah_condition(column_name = "links", operator = "GREATER_THAN", value = "10")}
#' \item use \code{rah_condition_set()} function to group single conditions into final condition
#' string, for example: \code{fin_cond <- rah_condition_set(cond_1, cond_2)}
#' \item provide final condition to proper report function as a parameter, for example:
#' \code{RAhrefs::rah_refdomains(target = "ahrefs.com", report = "anchors", token = "0123456789",
#' mode = "domain", metrics = NULL, limit = 1000, where = fin_cond, order_by = "first_seen:asc")}
#' }
#'
#' @source \url{https://ahrefs.com/api/documentation}
#'
#' @return data frame
#' @export
#'
#' @family Ahrefs reports
#'
#' @examples
#' \dontrun{
#' # creating single conditions for 'where' parameter
#' cond_1 <- RAhrefs::rah_condition(
#' column_name = "backlinks",
#' operator = "GREATER_OR_EQUAL",
#' value = "20")
#'
#' cond_2 <- RAhrefs::rah_condition(
#' column_name = "refpages",
#' operator = "GREATER_THAN",
#' value = "10")
#'
#' # joining conditions into one condition set
#' cond_where <- RAhrefs::rah_condition_set(cond_1, cond_2)
#'
#' # downloading
#' b <- RAhrefs::rah_refdomains(
#' target = "ahrefs.com",
#' limit = 2,
#' where = cond_where,
#' order_by = "ahrefs_rank:desc")
#' }
rah_refdomains <- function(
target,
token = Sys.getenv("AHREFS_AUTH_TOKEN"),
mode = "domain",
metrics = NULL,
limit = 1000,
order_by = NULL,
where = NULL,
having = NULL)
{
data_list <- rah_downloader(
target = target,
report = "refdomains",
token = token,
mode = mode,
metrics = metrics,
limit = limit,
order_by = order_by,
where = where,
having = having)
data_df <- do.call(rbind.data.frame, data_list$refdomains)
index <- sapply(data_df, is.factor)
data_df[index] <- lapply(data_df[index], as.character)
if ("first_seen" %in% colnames(data_df)) {data_df$first_seen <- as.POSIXct(data_df$first_seen, format = "%Y-%m-%dT%H:%M:%OS")}
if ("last_visited" %in% colnames(data_df)) {data_df$last_visited <- as.POSIXct(data_df$last_visited, format = "%Y-%m-%dT%H:%M:%OS")}
if ("prev_visited" %in% colnames(data_df)) {data_df$prev_visited <- as.POSIXct(data_df$prev_visited, format = "%Y-%m-%dT%H:%M:%OS")}
if ("url_from_first_seen" %in% colnames(data_df)) {data_df$url_from_first_seen <- as.POSIXct(data_df$url_from_first_seen, format = "%Y-%m-%dT%H:%M:%OS")}
if ("broken_at" %in% colnames(data_df)) {data_df$broken_at <- as.POSIXct(data_df$broken_at, format = "%Y-%m-%dT%H:%M:%OS")}
return(data_df)
}
# b <- rah_refdomains(target = "ahrefs.com", limit = 10)
# str(b)
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