rah_pages_info: Export additional info about the target, such as IP address,...

Description Usage Arguments Details Value Source See Also Examples

View source: R/rah_pages_info.R

Description

Export additional info about the target, such as IP address, canonical URL, social meta tags and social metrics.

Usage

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rah_pages_info(target, token = Sys.getenv("AHREFS_AUTH_TOKEN"),
  mode = "domain", metrics = NULL, limit = 1000, order_by = NULL,
  where = NULL, having = NULL)

Arguments

target

character string. Aim of a request: a domain, a directory or a URL

token

character string. Authentication token. Should be available through enviromental variables after authentication with function rah_auth()

mode

character string. Mode of operation: exact, domain, subdomains or prefix. See more in Details section

metrics

character vector of columns to select. See more in Details section

limit

integer. Number of results to return

order_by

character vector of columns to sort on. See more in Details section

where

character string - a condition created by rah_condition_set() function that generates proper "where" condition to satisfy. See more in Details section

having

character string - a condition created by rah_condition_set() function that generates proper "having" condition to satisfy. See more in Details section

Details

1. available metrics - you can select which columns (metrics) you want to download and which one would be useful in filtering, BUT not all of them can always be used in "where" & "having" conditions:

Column Type Where Having Description
url string + + URL of the crawled page.
ip string + + IP address of the server that returned the page.
size int + + Size of the crawled page, in bytes.
links_internal int + + Number of internal links found in the crawled page.
links_external int + + Number of external links found in the crawled page.
encoding string + + Character encoding of the page, for example "utf8" or "iso-8859-1" (Latin-1).
title string + + Title of the crawled page.
redirect_url string + + URL where the page redirects to.
canonical_url string + + Canonical URL of the page.
content_encoding string + + Type of encoding used to compress the page data, for example "gzip" or "deflate".
description string + + Description of the crawled page.
meta_social string + + Contents of meta tags for social sharing sites.
twitter int + + Number of Twitter shares of the page.
pinterest int + + Number of Pinterest shares of the page.
facebook_likes int + + Number of Facebook likes of the page.
facebook_shares int + + Number of Facebook shares of the page.
facebook_comments int + + Number of Facebook comments of the page.
facebook_clicks int + + Number of Facebook clicks of the page.
facebook_comments_box int + + Number of Facebook box comments of the page.
facebook int + + Total number of Facebook shares/likes of the page.
total_shares int + + Total number of shares of the page across all social networks.
median_shares int + + Median number of shares of the page across all social networks.

2. "mode" parameter can take 4 different values that will affect how the results will be grouped.

Example of URL directory with folder:

Example of URL directory with subdomain:

3. "order_by" parameter is a character string that forces sorting of the results. Structure:

4. "where" & "having" are EXPERIMENTAL parameters of condition sets (character strings) that control filtering the results. To create arguments:

  1. use rah_condition() function to create a single condition, for example: cond_1 <- rah_condition(column_name = "links", operator = "GREATER_THAN", value = "10")

  2. use rah_condition_set() function to group single conditions into final condition string, for example: fin_cond <- rah_condition_set(cond_1, cond_2)

  3. provide final condition to proper report function as a parameter, for example: RAhrefs::rah_pages_info(target = "ahrefs.com", token = "0123456789", mode = "domain", metrics = NULL, limit = 1000, where = fin_cond, order_by = "first_seen:asc")

Value

nested list - the structure can be too complicated to convert into simple data frame

Source

https://ahrefs.com/api/documentation

See Also

Other Ahrefs reports: rah_ahrefs_rank, rah_anchors_refdomains, rah_anchors, rah_backlinks_new_lost_counters, rah_backlinks_new_lost, rah_backlinks_one_per_domain, rah_backlinks, rah_broken_backlinks, rah_broken_links, rah_domain_rating, rah_linked_anchors, rah_linked_domains_by_type, rah_linked_domains, rah_metrics_extended, rah_metrics, rah_pages_extended, rah_pages, rah_refdomains_by_type, rah_refdomains_new_lost_counters, rah_refdomains_new_lost, rah_refdomains, rah_refips, rah_subscription_info

Examples

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## Not run: 
# creating single conditions for 'where' parameter
cond_1 <- RAhrefs::rah_condition(
   column_name = "facebook_likes",
   operator    = "GREATER_OR_EQUAL",
   value       = "1000")

cond_2 <- RAhrefs::rah_condition(
   column_name = "facebook_shares",
   operator    = "GREATER_THAN",
   value       = "200")

# joining conditions into one condition set
cond_where <- RAhrefs::rah_condition_set(cond_1, cond_2)

# downloading
b <- RAhrefs::rah_pages_info(
  target   = "ahrefs.com",
  limit    = 2,
  where    = cond_where,
  order_by = "ahrefs_rank:desc")

## End(Not run)

civitch/Doingbuzz-Ahrefs documentation built on Aug. 19, 2020, 12:06 a.m.