Data extraction and analysis system and tool

A data extraction system comprising:

• a database server comprising:
• a comparison database comprising data ranking options based on a comparison of statistical models;
• a factor database;
• and
• a model database, wherein the model database comprises a multilevel model, wherein the multilevel model comprises a statistical model of parameters that vary at more than one level;
• and
• a content management server including:
• a processor, and
• a non-transitory memory storing instructions that when executed by the processor cause the processor to:
• receive a request for a recommendation from a user device, wherein the request for a recommendation comprises data identifying a category and a variable;
• identify a plurality of species data sources, wherein the species data sources comprise at least a first website hosted by a first content server hosting a first course content and a second website hosted by a second content server hosting a second course content;
• retrieve species content from the species data sources, wherein the species content includes the first course content and the second course content;
• parse the first course content to identify a first title of the first course content, a course associated with the first course content, and an education institution associated with the first course content;
• parse the second course content to identify a second title of the second course content, a course associated with the second course content, and an education institution associated with the second course content;
• identify, using the first title and the second title, a plurality of potential evaluation data sources, wherein the potential evaluation data sources comprise at least a third website hosted on a third content server and the third website hosts a first evaluation data including the first title and a second evaluation data including the second title;
• retrieve potential evaluation data from the potential evaluation data sources, the potential evaluation data including the first evaluation data and the second evaluation data;
• extract evaluation data from the retrieved potential evaluation data;
• generate the multilevel model based on the species content and the evaluation data, by:
• identifying a first subset of the species content, wherein all species content in the first subset is associated with the same course,
• generating a first level simplified model at a first level of the species content and the evaluation data, wherein the first level simplified model is derived from the first subset of the species content,
• identifying a second subset of the species content, wherein all species content in the second subset is associated with the same education institution,
• generating a second level simplified model at a second level of the species content and the evaluation data, wherein the second level simplified model is derived from the second subset of the species content, and
• estimating level variances for the first level simplified model and the second level simplified model, wherein the level variances comprise the percentage of variation in an aggregate of the species content and the evaluation data attributable to each of the first level simplified model and the second level simplified model;
• and
• provide a recommendation of the first subset of the species content or a second subset of the species content by:
• selecting, using the level variances, the first level simplified model or the second level simplified model, and
• executing the selected one of the first level simplified model or the second level simplified model.