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Faced with the problem of no standardization across incubator and accelerator websites, there is a design feasibility question concerning automating the extraction of information. A browser plugin with user guidance could serve as a fundamental first step towards total mechanization of the process. See [[LP_Extractor_Protocol]] for a comprehensive introduction to potential methods.
The focus of this design is to create a tool which allows for the quick identification of HTML markings on a webpage and subsequent reduction to a DSL for useful data extraction. Multiple options will be considered, including allowing the user to visually 'draw' a grid, either via dragging or marking vertices, and mouse-over. Attention will be given to potentially viable technical resources as well as usability.
Current List of sites to examine:
E:\projects\accelerators\The File to Rule Them All.xlsx
(E:\projects\Kauffman Incubator Project\02 Identify the client listing page\Listing Page Classifier)
[[File:Kobeexampless.PNG|thumb|center|upright=3|Image taken from 500kobe.com]]
===HTML Layout Variations===
HTML tree structure differs by site and web developer preference. A look at examples of accelerator websites reveals the following methods of organizing company data:
[[File:Divclassexample.PNG|thumb|Each "views-row" tag represents a starting extraction point]]
# div tag, class parameter
In certain cases, the existing style guide may be utilized for ease of extraction.
If the user highlights one section, the label can be extracted and then used to locate the remaining start-ups.
===Programming Language & Frameworks===
===User Input Styles===
* Drag + Drop
* Marking Vertices
* "Infinite Scroll" webpages: Potentially impossible to account for incubator websites which display company lists in an infinite scroll style. Would require multiple instances of user input.
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