For analytics access, check out garb instead: github.com/vigetlabs/garb
Rugalytics is a Ruby API for accessing your Google Analytics Data.
The Rugalytics API is in early development so it may change slightly over time. It should be in working order, so please give it a test spin! Sometimes Google changes it’s CSV export format, which can break Rugalytics. It’s usually fixed within a week of such occurrences.
The source code is hosted at github. Feel free to fork the code if you have something to contribute:
http://github.com/robmckinnon/rugalytics
Should be up at rubyforge, so to install:
sudo gem install rugalytics
Login with your Google Analytics user name and password:
require 'rubygems' require 'rugalytics' Rugalytics.login 'username', 'password'
Get profile using account name and profile name:
profile = Rugalytics.find_profile('your_site.com', 'blog.your_site.com')
If account name and profile name are the same:
profile = Rugalytics.find_profile('your_site.com')
At present your language setting for your Google Analytics account must be set to English for Rugalytics to work.
Google: Settings -> Language: choose UK English OR Google: Settings -> Language: choose US English
Obtaining page views:
profile.pageviews # default period is one month ending today => 160600 profile.pageviews :from=>'2007-01-01' => 2267550 profile.pageviews :from=>'2007-01-01', :to=>'2007-01-02' => 24980
The pageviews method is doing this under the hood:
report = profile.pageviews_report :from=>'2007-01-01', :to=>'2007-01-02' report.pageviews_total => 16600
Using the report you can get pageviews_by_day:
report.pageviews_by_day => [[Mon, 01 Jan 2007, 8200], [Tue, 02 Jan 2007, 8400]]
In the report, there is a pageviews_graph containing the points:
report.pageviews_graph.sum_of_points => 16600 report.pageviews_graph.points_by_day => [[Mon, 01 Jan 2007, 8200], [Tue, 02 Jan 2007, 8400]]
The report name comes from the Google Analytics URL for a CSV report export. The report name is the rpt parameter from the URL, e.g. ‘Pageviews’ or ‘TrafficSources’:
https://www.google.com/analytics/reporting/export?fmt=2&...&&rpt=PageviewsReport&... https://www.google.com/analytics/reporting/export?fmt=2&...&&rpt=TrafficSourcesReport&...
If you are logged in to the Analytics website, you can find the CSV URL by clicking on the Export tab, and then mousing over the CSV option.
To discover a list of report names, there’s a method on profile:
profile.report_names
=> ["ad_versions_report", "adwords_report", "all_sources_report",
"average_pageviews_report", "bounce_rate_report", "browsers_report",
"campaigns_report", "colors_report", "content_by_title_report",
"content_drilldown_report", "content_report", "dashboard_report",
"depth_of_visit_report", "direct_sources_report", "entrances_report",
"exits_report", "flash_report", "geo_map_report", "hostnames_report",
"java_report", "keyword_position_report", "keywords_report",
"languages_report", "length_of_visit_report", "loyalty_report",
"networks_report", "os_browsers_report", "pageviews_report",
"platforms_report", "recency_report", "referring_sources_report",
"resolutions_report", "search_engines_report", "speeds_report",
"time_on_site_report", "top_content_detail_keywords_report",
"top_content_detail_navigation_report", "top_content_detail_path_report",
"top_content_detail_sources_report", "top_content_report",
"traffic_sources_report", "unique_visitors_report",
"visitor_types_report", "visitors_overview_report", "visits_report"]
Let’s load the TrafficSources report:
report = profile.traffic_sources_report
report.name
=> "Traffic Sources Overview"
report.start_date
=> "28 May 2008"
report.end_date
=> "4 June 2008"
report.source_items.collect{|s| "#{s.sources}: #{s.visits}"}.first
=> "google (organic): 15210"
report.keyword_items.collect{|k| "#{k.keywords}: #{k.visits}"}[1]
=> "oecd nz report summary 2007: 14"
Let’s try another report, VisitorsOverview:
report = profile.visitors_overview_report report.browser_items[1] => # Rugalytics::Item @percentage_visits="0.18", @visits="3140", @browser="Firefox" report.connection_speed_items[3] => # Rugalytics::Item @connection_speed="Dialup", @percentage_visits="0.06340057402849197", @visits="1100"
Let’s now grab 100 lines of the Networks report:
report = profile.networks_report :rows=>100 report.items.size => 100 report.items.first.network_location => "telecom xtra"
Entrance search keywords by URL:
report = profile.top_content_detail_keywords_report(:url=>'/projects/abc')
report.name
=> "Entrance Keywords:,/projects/abc"
report.items.collect{|i| "#{i.keyword} (#{i.unique_pageviews})"}
=> ["project abc (200)", "abc project (110)"]
Pageviews by URL:
report = profile.top_content_detail_report(:url => "/projects/abc") report.name => "Content Detail:,/projects/abc" report.pageviews_total => 179
You can get a content drilldown report, for pages under a certain URL path:
report = profile.content_drilldown_report(:url => "/projects/abc/")
report.name
=> "Content Drilldown,/projects/abc/"
report.items.first
=> # Rugalytics::Item @bounce_rate="0.85", @unique_pageviews="155",
@percentage_exit="0.776536312849162", @time_on_page="165.75",
@pageviews="179", @path="/reports/", @dollar_index="0.0",
@url="http://your_site.com/projects/abc/reports/"
Pageviews by page title:
report = profile.content_by_title_detail_report(:page_title => "Project ABC | Company XYZ")
report.name
=> "Content by Title Detail:,Project ABC | Company XYZ"
report.items.first
=> # Rugalytics::Item @bounce_rate="0.85", @unique_pageviews="1550",
@percentage_exit="0.776536312849162", @time_on_page="165.75",
@pageviews="179", @path="/projects/abc", @dollar_index="0.0",
@url="http://your_site.com/projects/abc"
To use from Rails, make a config file rails_root/config/rugalytics.yml with the following contents:
--- account: your_account_name profile: your_profile_name username: your_user_name password: your_pass_w
Remember to tell your source control system to ignore this file! If you’re using git, this means adding config/rugalytics.yml to your .gitignore file.
vi .gitignore config/rugalytics.yml
You can now use Rugalytics from within Rails, and login will be done automatically, e.g.:
profile = Rugalytics.default_profile report = profile.top_content_report(:from=>(Date.today - 7) ) top_items_over_week = report.items.sort_by{|i| i.unique_pageviews.to_i}.reverse
TO INSTALL:
Create a rugalytics.yml config file containing:
--- account: your_account_name profile: your_profile_name username: your_user_name password: your_pass_w
Run rugalytics executable on console in same directory as rugalytics.yml:
> rugalytics
Add Greasemonkey to Firefox:
https://addons.mozilla.org/firefox/748/
Go to:
http://localhost:8888/
Add rugrat user script:
http://localhost:8888/rugrat.user.js
Configure website for rugrat to run over:
Firefox -> Tools -> Greasemonkey -> Manage User Scripts -> select rugrat -> press "Add" -> add your site, e.g. http://your_site.com/* -> press "Close"
Browse your site!
Rugalytics - making a Ruby API to Google Analytics data - presentation slides from Ruby Manor 2008:
http://www.slideshare.net/delineator/rugalytics-ruby-manor-nov-2008-presentation/
Rugalytics started life as a fork of jnunemaker’s Statwhore. As the code and project scope began to diverge significantly from Statwhore, a new project was initiated. Rugalytics makes use of the googlebase gem to login to Google.
Rugalytics makes use of the morph gem to emerge Ruby class definitions at runtime based on the contents of the CSV reports from Google Analytics.
See LICENSE for the terms of this software.