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Python Web Scraping Cookbook

You're reading from   Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping 2. Data Acquisition and Extraction FREE CHAPTER 3. Processing Data 4. Working with Images, Audio, and other Assets 5. Scraping - Code of Conduct 6. Scraping Challenges and Solutions 7. Text Wrangling and Analysis 8. Searching, Mining and Visualizing Data 9. Creating a Simple Data API 10. Creating Scraper Microservices with Docker 11. Making the Scraper as a Service Real 12. Other Books You May Enjoy

Removing punctuation marks

Depending upon the tokenizer used, and the input to those tokenizers, it may be desired to remove punctuation from the resulting list of tokens. The regexp_tokenize function with '\w+' as the expression removes punctuation well, but word_tokenize does not do it very well and will return many punctuation marks as their own tokens.

How to do it

Removing punctuation marks from our tokens is done similarly to the removal of other words within our tokens by using a list comprehension and only selecting those items that are not punctuation marks. The script 07/09_remove_punctuation.py file demonstrates this. Let's walk through the process:

  1. We'll start with the following, which will...
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