Abstract: An automated website analysis system includes mechanisms for automatically auditing a website to validate that the scanned web page information conforms to validation rules. In one implementation, an auditing system requests web pages of an identified website pursuant to validating at least a portion of each requested web page. Embodiments include scanning page code of at least one of the web pages to identify scanned web page information, including a page tag. The scanned web page information is validated to determine whether is conforms to at least one validation rule by validating variables of the page tag against validation rules, including a vendor validation rule. Results of the validation are reported.

Abstract: A system for monitoring the “analytics health” or “tracking health” of a web page can include one or more modules that render analytics code on the web page. In one implementation, a monitoring service downloads one or more web pages from a web server. The monitoring service can attempt to render any analytics code on the web pages to see if the analytics code renders or executes as expected. The monitoring service can also perform basic text searches to identify analytics code, even if it cannot be rendered, and to determine if such code is present and correctly written in the web page. For web pages that require form input, the monitoring service can prompt the user for corresponding input, or retrieve pre-recorded user input from a store. The monitoring service can determine analytics health for web pages of interest in real-time.

Abstract: An automated website analysis system includes mechanisms for automatically reviewing a website and identifying various features of the website. In one implementation, the analysis system can rely at least in part on the actual downloading and rendering of each page in the website to determine not only aspects of website content and layout, but also whether various content, such as third party objects or source code, execute as intended. Additional features include recording user input that may be required to progress past web pages where automated site mapping would ordinarily stall. The analysis system can identify various items of interest about each web page to the website owner, including web page parent/child relationships, as well as the extent to which the given page content is consistent with its metadata descriptions.

Abstract: An automated website analysis system includes mechanisms for automatically reviewing a website and identifying various features of the website. In one implementation, the analysis system can rely at least in part on the actual downloading and rendering of each page in the website to determine not only aspects of website content and layout, but also whether various content, such as third party objects or source code, execute as intended. Additional features include recording user input that may be required to progress past web pages where automated site mapping would ordinarily stall. The analysis system can identify various items of interest about each web page to the website owner, including web page parent/child relationships, as well as the extent to which the given page content is consistent with its metadata descriptions.

Abstract: An automated website analysis system includes mechanisms for automatically auditing a website to validate that the scanned web page information conforms to validation rules. In one implementation, an auditing system requests web pages of an identified website pursuant to validating at least a portion of each requested web page. Embodiments include scanning page code of at least one of the web pages to identify scanned web page information, including a page tag. The scanned web page information is validated to determine whether is conforms to at least one validation rule by validating variables of the page tag against validation rules, including a vendor validation rule. Results of the validation are reported.

Abstract: An automated website analysis system includes mechanisms for automatically reviewing a website and identifying various features of the website. In one implementation, the analysis system can rely at least in part on the actual downloading and rendering of each page in the website to determine not only aspects of website content and layout, but also whether various content, such as third party objects or source code, execute as intended. Additional features include recording user input that may be required to progress past web pages where automated site mapping would ordinarily stall. The analysis system can identify various items of interest about each web page to the website owner, including web page parent/child relationships, as well as the extent to which the given page content is consistent with its metadata descriptions.

Abstract: An automated website analysis system includes mechanisms for automatically reviewing a website and identifying various features of the website. In one implementation, the analysis system can rely at least in part on the actual downloading and rendering of each page in the website to determine not only aspects of website content and layout, but also whether various content, such as third party objects or source code, execute as intended. Additional features include recording user input that may be required to progress past web pages where automated site mapping would ordinarily stall. The analysis system can identify various items of interest about each web page to the website owner, including web page parent/child relationships, as well as the extent to which the given page content is consistent with its metadata descriptions.

Abstract: A system for monitoring the “analytics health” or “tracking health” of a web page can include one or more modules that render analytics code on the web page. In one implementation, a monitoring service downloads one or more web pages from a web server. The monitoring service can attempt to render any analytics code on the web pages to see if the analytics code renders or executes as expected. The monitoring service can also perform basic text searches to identify analytics code, even if it cannot be rendered, and to determine if such code is present and correctly written in the web page. For web pages that require form input, the monitoring service can prompt the user for corresponding input, or retrieve pre-recorded user input from a store. The monitoring service can determine analytics health for web pages of interest in real-time.