Web Scraping : Introduction to Web Scraping using Scrapy
Kaira Villanueva
https://2016.pygotham.org/talks/314/i...
Have you wanted to grab data from websites and automatically categorize it into a formatted list? Or maybe you want to opt out of registering for API keys and want data straight out of a web page? This is an introduction to web scraping and we will cover building bots through Scrapy to crawl a few sample web pages and have it extract information that we want. Prior knowledge not required; we’ll break down the steps in creating your own bot, and before you know it you'll be scraping the web.
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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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Web scraping a web page involves fetching it and extracting from it.Fetching is the downloading of a page (which a browser does when you view the page). Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list.