Approaching the largest ‘API’: extracting information from the Internet with Python
This article explores the need for libraries to algorithmically access and manipulate the world’s largest API: the Internet. The billions of pages on the ‘Internet API’ (HTTP, HTML, CSS, XPath, DOM, etc.) are easily accessible and manipulable. Libraries can assist in creating meaning through the da...
Main Author: | Jonathan E. Germann |
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Format: | Article |
Language: | English |
Published: |
Code4Lib
2018-02-01
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Series: | Code4Lib Journal |
Online Access: | http://journal.code4lib.org/articles/13197 |
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