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Python Web Scraping

You're reading from   Python Web Scraping Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781786462589
Length 220 pages
Edition 2nd Edition
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Author (1):
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Katharine Jarmul Katharine Jarmul
Author Profile Icon Katharine Jarmul
Katharine Jarmul
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Toc

Scraping results

Now that we have complete implementations for each scraper, we will test their relative performance with this snippet. The imports in the code expect your directory structure to be similar to the book's repository, so please adjust as necessary:

import time
import re
from chp2.all_scrapers import re_scraper, bs_scraper,
lxml_scraper, lxml_xpath_scraper
from chp1.advanced_link_crawler import download

NUM_ITERATIONS = 1000 # number of times to test each scraper
html = download('http://example.webscraping.com/places/view/United-Kingdom-239')

scrapers = [
('Regular expressions', re_scraper),
('BeautifulSoup', bs_scraper),
('Lxml', lxml_scraper),
('Xpath', lxml_xpath_scraper)]

for name, scraper in scrapers:
# record start time of scrape
start = time.time()
for i in range(NUM_ITERATIONS):
if scraper == re_scraper:
re...
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