Tutorial on Web Scraping in Python
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The document discusses web scraping using Scrapy and Beautiful Soup, highlighting their use in extracting and structuring data from websites. It emphasizes the importance of ethical scraping practices and the potential pitfalls, such as dealing with JavaScript-heavy sites and respecting robots.txt files. Additionally, it presents email marketing for customer acquisition as a use case for scraping, mentioning techniques to improve email list quality.
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- 1. Scraping Data from the Web using Scrapy & Beautiful Soup Nithish Raghunandanan [email protected] PyData Munich | 8th November 2017
- 2. About Me ● MSc. Informatics Student at the Technical University of Munich ○ Focus on Data Science & Software Engineering ● Student Employee at KI labs, part of KI Group ● Love to play with different technologies ● Connect ■ nithishr1 @nithishr
- 3. What is Scraping? ● Extract data from the web pages ● Store the data into structured formats ● Data not available directly or via APIs
- 4. Use Cases
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- 8. Pitfalls in Crawling ● Javascript heavy websites ○ Splash plugin ○ Selenium ● Default settings not too friendly to website owners ○ Inbuilt Auto throttle extension ● Captchas
- 9. Why Yellow Pages? Email Marketing for Customer Acquisition
- 10. Email Marketing for Customer Acquisition Initial Approach ● Buy Email Lists ● Send via 3rd Parties ● Poor Quality ○ Non transparent ○ Generic emails ● Expensive Crawling ● Scrapy + Beautiful Soup ● Over 500k Emails ● Quality Improvement ○ Categorized into segments ○ Targeted emails ● Cheap
- 12. Resources ● Scrapy Guide ○ https://doc.scrapy.org/en/latest/intro/tutorial.html ● Beautiful Soup Guide ○ https://www.crummy.com/software/BeautifulSoup/bs4/doc/ ● Crawling Etiquette ○ https://blog.scrapinghub.com/2016/08/25/how-to-crawl-the-web-politely-with-scrapy/ ● Code ○ https://github.com/nithishr/meetup_scraping