Web Scraping : Python Web Scraping Tools by Singapore Python User Group
Speaker: Jon Reiter
There are myriad web scraping tools available in Python spanning a broad range of use cases. At the same time there are many surprising gaps in coverage. Further complicating matters, differences which look innocuous in a browser can have an outsized impact on the design of an automated browsing system. In this talk we survey a collection of common web scraping frameworks and work out a mapping from real-world use cases to packages. Along the way we address common questions like:
How do I choose among content parsers? What if a page is dominated by JavaScript or HTML5? If I'm going to control a browser which one should I choose? Can I run this in the cloud with no access to a display? Can I download files?
About Jon:
Jon worked in finance as a derivative trader for a long time before moving back to technology. He is now heading a start-up which aims to re-cast and modernize the way the financial services industry processes market data.
Event Page: https://www.meetup.com/Singapore-Pyth...
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What is Web scraping ?
Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.
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