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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

Performing OCR on an image with pytesseract

It is possible to extract text from within images using the pytesseract library. In this recipe, we will use pytesseract to extract text from an image. Tesseract is an open source OCR library sponsored by Google. The source is available here: https://github.com/tesseract-ocr/tesseract, and you can also find more information on the library there. 0;pytesseract is a thin python wrapper that provides a pythonic API to the executable.

Getting ready

Make sure you have pytesseract installed:

pip install pytesseract

You will also need to install tesseract-ocr. On Windows, there is an executable installer, which you can get here: https://github.com/tesseract-ocr/tesseract/wiki/4.0-with...

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