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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

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781787285217

Length 364 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Data Mining

Author (1):

Michael Heydt

View More author details

Table of Contents (18) Chapters

Title Page

Copyright and Credits

Contributors

Packt Upsell

Preface

1. Getting Started with Scraping FREE CHAPTER

2. Data Acquisition and Extraction

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

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Index

Using identifiable user agents

What happens if you violate the terms of service and get flagged by the website owner? How can you help the site owners in contacting you, so that they can nicely ask you to back off to what they consider a reasonable level of scraping?

What you can do to facilitate this is add info about yourself in the User-Agent header of the requests. We have seen an example of this in robots.txt files, such as from amazon.com. In their robots.txt is an explicit statement of a user agent for Google: GoogleBot.

During scraping, you can embed your own information within the User-Agent header of the HTTP requests. To be polite, you can enter something such as 'MyCompany-MyCrawler ([email protected])'. The remote server, if tagging you in violation, will definitely be capturing this information, and if provided like this, it gives them a convenient means of contacting your instead of just shutting you down.

How to do it

Setting the user agent differs depending upon what tools...

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Authors (1)

Michael Heydt

Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.

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