Introduction to Web Scraping using Python and Beautiful Soup
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The document is an introduction to web scraping using Python, outlining its definition, need, and real-life applications like e-commerce and social media. It discusses the basic workflow and libraries involved in web scraping, including sending requests and parsing data. Additionally, it emphasizes the importance of adhering to rules and ethical considerations while scraping data.
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Introduction to Web Scraping using Python and Beautiful Soup
- 1. INTRODUCTION TO WEB SCRAPING USING PYTHON Tushar Mittal @techytushar
- 2. AGENDA What we’ll do What is Web Scraping? Need of Web Scraping. Real Life Used Cases. Workflow and Libraries used. Demo (Scrape a Website) Rules of Web Scraping.
- 3. WEB SCRAPING What is it? Web Scraping is a technique to fetch data and information from websites. Everything you see on a webpage can be scraped. Can be done in most programming languages, we’ll use Python (coz its a python meetup :p).
- 4. NEED OF WEB SCRAPING But I Can Just Copy/Paste the Data What about a thousand webpages or even more. When no API is provided or there is only limited number of requests. Online tools with less customizations. Learn something new and be your own boss!
- 5. USAGE Real Life Used Cases Web Crawlers E-Commerce price comparer. Preparing dataset for your ML model. Scraping Social Media Profiles. Weather Data. (Sky’s the limit)
- 6. WORKFLOW & LIBRARIES Steps and Tools Involved Send Request and Load the webpage. (Requests, urllib, httplib) Parse the content for desired data. (Beautiful Soup, re, Scrapy) Store the data the way you want.
- 7. LET’S SCRAPE SOME DATA
- 8. RULES OF WEB SCRAPING Beware! Don’t crawl at disruptive rate. Read T&C of Use. Data is valuable use it wisely.