Web Scraping Best Practises
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| Title | Web Scraping Best Practises |
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| Part Number | 79 |
| Number of Parts | 173 |
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| License | CC Attribution - NonCommercial - ShareAlike 3.0 Unported: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. |
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| Production Place | Bilbao, Euskadi, Spain |
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| Abstract | Shane Evans - Web Scraping Best Practises
Python is a fantastic language for writing web scrapers. There is a
large ecosystem of useful projects and a great developer community.
However, it can be confusing once you go beyond the simpler scrapers
typically covered in tutorials.
In this talk, we will explore some common real-world scraping tasks.
You will learn best practises and get a deeper understanding of what
tools and techniques can be used and how to deal with the most
challenging of web scraping projects!
We will cover crawling and extracting data at different scales - from
small websites to large focussed crawls. This will include an overview
of automated extraction techniques. We'll touch on common difficulties
like rendering pages in browsers, proxy management, and crawl
architecture. |
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