Grab 'ahrefs' API data x
⚠️ THIS IS A WORK IN PROGRESS
What is ahref?
Ahrefs is an All-in-one SEO toolset that allows to
Optimize your website Site Audit
Analyze your competitors
Study what your customers are searching
Learn from your industry’s top performing content
Track your ranking progress
We will be using a package called RAhrefs by Leszek Siemiński use ahref with R
Installation
# main version on CRAN:
install.packages("RAhrefs")
# development version:
# install.packages("devtools")
# devtools::install_github("Leszek-Sieminski/RAhrefs")Authentication
library("RAhrefs")
api_key <- "012345"
RAhrefs::rah_auth(api_key)
# will return "API authorized" if successChecking available reports
To check what Ahrefs data are available in R through API, you need to check provided help dataset:
library("RAhrefs")
View(ahrefs_reports) # view dataset in a new tab (RStudio)
print(head(ahrefs_reports, 5)) # see first 5 reports in the console
# > report_name function_name short_description url_address
# > 1 ahrefs_rank rah_ahrefs_rank Contains the URLs and the rankings. https://ahrefs.com/api/documentation/ahrefs-rank
# > 2 anchors rah_anchors Contains the anchor text and the num of backlinks, referring pages and referring domains that has it. https://ahrefs.com/api/documentation/anchors
# > 3 anchors_refdomains rah_anchors_refdomains Contains the num of anchors and backlinks with that anchor, per domain. https://ahrefs.com/api/documentation/anchors-refdomains
# > 4 backlinks rah_backlinks Contains the backlinks and details of the referring pages, such as anchor and page title. https://ahrefs.com/api/documentation/backlinks
# > 5 backlinks_new_lost rah_backlinks_new_lost Contains the new or lost backlinks and details of the referring pages. https://ahrefs.com/api/documentation/backlinks-new-lostChecking available reports
To check what Ahrefs data are available in R through API, you need to check provided help dataset:
library("RAhrefs")
View(ahrefs_reports) # view dataset in a new tab (RStudio)
print(head(ahrefs_reports, 5)) # see first 5 reports in the console
# > report_name function_name short_description url_address
# > 1 ahrefs_rank rah_ahrefs_rank Contains the URLs and the rankings. https://ahrefs.com/api/documentation/ahrefs-rank
# > 2 anchors rah_anchors Contains the anchor text and the num of backlinks, referring pages and referring domains that has it. https://ahrefs.com/api/documentation/anchors
# > 3 anchors_refdomains rah_anchors_refdomains Contains the num of anchors and backlinks with that anchor, per domain. https://ahrefs.com/api/documentation/anchors-refdomains
# > 4 backlinks rah_backlinks Contains the backlinks and details of the referring pages, such as anchor and page title. https://ahrefs.com/api/documentation/backlinks
# > 5 backlinks_new_lost rah_backlinks_new_lost Contains the new or lost backlinks and details of the referring pages. https://ahrefs.com/api/documentation/backlinks-new-lostChecking available metrics
To check what metrics can be choosen, you need to check provided help dataset:
library("RAhrefs")
View(ahrefs_metrics) # view dataset in a new tab (RStudio)
print(head(ahrefs_metrics, 5)) # see first 5 metrics in the console
# > metric type use_where? use_having? description
# > 1 url_from string TRUE TRUE URL of the page where the backlink is found.
# > 2 url_to string TRUE TRUE URL of the page the backlink is pointing to.
# > 3 ahrefs_rank int TRUE TRUE URL Rating of the referring page.
# > 4 domain_rating int FALSE TRUE Domain Rating of the referring domain.
# > 5 ahrefs_top int FALSE TRUE Ahrefs Rank of the target domain.However, different functions can accept different metrics for experimental where & having conditions. To find out which ones are available for a particular function, check that function's documentation.
Creating conditions
Ahrefs API can use where, having and order_by parameters. However, behaviour of where and having may change in further updates.
# first, create all needed conditions in single form:
cond_1 <- RAhrefs::rah_condition(
column_name = "first_seen",
operator = "GREATER_THAN",
value = "2018-01-01",
is_date = TRUE)
cond_2 <- RAhrefs::rah_condition(
column_name = "backlinks",
operator = "GREATER_THAN",
value = "10")
# next, create a set of conditions from them:
final_condition_set <- RAhrefs::rah_condition_set(cond_1, cond_2)
# finally, use the set of conditions to download choosen results:
result <- RAhrefs::rah_anchors(
target = "ahrefs.com",
limit = 1000,
where = final_condition_set)Usage
# library ----------------------------
library("RAhrefs")
# authentication ---------------------
api_key <- "012345"
RAhrefs::rah_auth(api_key)
# downloading data -------------------
ahrefs_data <- RAhrefs::rah_anchors(
target = "ahrefs.com",
mode = "domain",
limit = 2,
where = RAhrefs::rah_condition_set(
RAhrefs::rah_condition(
column_name = "backlinks",
operator = "GREATER_THAN",
value = "10"),
RAhrefs::rah_condition(
column_name = "refpages",
operator = "GREATER_THAN",
value = "20")),
order_by = "refpages:asc")
print(ahrefs_data)
# > anchor backlinks refpages refdomains first_seen last_visited
# > 1.21 driver 42 21 1 2018-06-06 07:16:28 2019-01-05 10:37:13
# > a href's 21 21 1 2015-11-22 14:30:18 2015-11-22 14:30:18
str(ahrefs_data)
# > 'data.frame': 2 obs. of 6 variables:
# > $ anchor : chr "1.21 driver" "a href's"
# > $ backlinks : int 42 21
# > $ refpages : int 21 21
# > $ refdomains : int 1 1
# > $ first_seen : POSIXct, format: "2018-06-06 07:16:28" "2015-11-22 14:30:18"
# > $ last_visited: POSIXct, format: "2019-01-05 10:37:13" "2015-11-22 14:30:18"Last updated
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