Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

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 1. Other Books You May Enjoy Index

Scraping Python.org in urllib3 and Beautiful Soup


In this recipe we swap out the use of requests for another library urllib3. This is another common library for retrieving data from URLs and for other functions involving URLs such as parsing of the parts of the actual URL and handling various encodings.

Getting ready...

This recipe requires urllib3 installed.  So install it with pip:

$ pip install urllib3
Collecting urllib3
 Using cached urllib3-1.22-py2.py3-none-any.whl
Installing collected packages: urllib3
Successfully installed urllib3-1.22

How to do it...

The recipe is implemented in 01/02_events_with_urllib3.py.  The code is the following:

import urllib3
from bs4 import BeautifulSoup

def get_upcoming_events(url):
    req = urllib3.PoolManager()
    res = req.request('GET', url)

    soup = BeautifulSoup(res.data, 'html.parser')

    events = soup.find('ul', {'class': 'list-recent-events'}).findAll('li')

    for event in events:
        event_details = dict()
        event_details['name'] = event.find('h3').find("a").text
        event_details['location'] = event.find('span', {'class', 'event-location'}).text
        event_details['time'] = event.find('time').text
        print(event_details)

get_upcoming_events('https://www.python.org/events/python-events/')

The run it with the python interpreter.  You will get identical output to the previous recipe.

How it works

The only difference in this recipe is how we fetch the resource:

req = urllib3.PoolManager()
res = req.request('GET', url)

Unlike Requests, urllib3 doesn't apply header encoding automatically. The reason why the code snippet works in the preceding example is because BS4 handles encoding beautifully.  But you should keep in mind that encoding is an important part of scraping. If you decide to use your own framework or use other libraries, make sure encoding is well handled.

There's more...

Requests and urllib3 are very similar in terms of capabilities. it is generally recommended to use Requests when it comes to making HTTP requests. The following code example illustrates a few advanced features: 

import requests

# builds on top of urllib3's connection pooling
# session reuses the same TCP connection if 
# requests are made to the same host
# see https://en.wikipedia.org/wiki/HTTP_persistent_connection for details
session=requests.Session()

# You may pass in custom cookie
r=session.get('http://httpbin.org/get',cookies={'my-cookie':'browser'})
print(r.text)
# '{"cookies": {"my-cookie": "test cookie"}}'

# Streaming is another nifty feature
# From http://docs.python-requests.org/en/master/user/advanced/#streaming-requests
# copyright belongs to reques.org
r = requests.get('http://httpbin.org/stream/20', stream=True)

for line in r.iter_lines():
  # filter out keep-alive new lines
  if line:
     decoded_line = line.decode('utf-8')
     print(json.loads(decoded_line))
You have been reading a chapter from
Python Web Scraping Cookbook
Published in: Feb 2018
Publisher: Packt
ISBN-13: 9781787285217
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime
Visually different images