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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 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 12. Other Books You May Enjoy

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
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