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Practical Web Scraping for Data Science: Best Practices and Examples with Python by Bart Baesens, Seppe vanden Broucke

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Index

A

  1. Amazon reviews

    1. browser’s developer tools

    2. dataset library

    3. “json” module

    4. Learning Python by Mark Lutz

    5. matplotlib library

    6. ntlk

    7. POST requests

    8. Python shell

    9. sentiment plots, rating level

    10. text editor

    11. vaderSentiment library

  2. Application Programming Interface (APIs)

  3. Associated Press (AP) vs. Meltwater

B

  1. Barclays’ mortgage simulator

  2. Beautiful Soup

    1. attrs argument

    2. code snippets

    3. Comment objects

    4. complex selectors

    5. CSS selectors

    6. documentation

    7. elements

    8. episode tables

    9. find and find_all

    10. Game of Thrones

    11. HTML pages

    12. HTML tree

    13. installing

    14. **keywords

    15. limit argument

    16. lists, and regular expressions

    17. methods

    18. name argument

    19. NavigableString objects

    20. parsers

    21. recursive argument

    22. string argument

    23. tree-based representation

    24. warning

  3. Board members

  4. Books to scrape

C

  1. CacheControl

  2. Caching

  3. Cascading Style Sheets (CSS)

    1. Chrome’s ...

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