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scraper.py
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scraper.py
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import argparse
import logging
from translate import Translate
from selenium import webdriver
# log all the URLs that I was unable to crawl
logging.basicConfig(filename='error_URLs.log')
# only log the WARNING logs from Selenium
logging.getLogger("selenium").setLevel(logging.WARNING)
class Crawler:
"""
Crawler object that visits different pages on New York Times
"""
def __init__(self):
self.browser = webdriver.Chrome('[PATH_TO_CHROME_DRIVER]')
def getBrowser(self):
return self.browser
class LinkScraper(Crawler):
def __init__(self, options):
# initialize a cralwer object for Link Scraper
super(LinkScraper, self).__init__()
self.crawler = self.browser
# initial URL to NYC international articles homepage
self.URL = "https://cn.nytimes.com/world/{PAGE_NUM}/"
# scrape up to this page number
self.MAX_PAGE_NUM = int(options.num_pages)
# start scraping from page 1
self.page_num = 1
# File number is incremented by one
self.FILE_NUM = 0
def getLinks(self):
"""
Extracts links to articles from a NYT International news page
"""
# get the webpage
self.crawler.get(
self.URL.format(
PAGE_NUM=self.page_num
)
)
# extract the aritcle links
links = self.crawler.find_elements_by_css_selector("div.basic-list h3 > a")
# increment the page number
self.page_num += 1
# return just the links, not the WebElements
return [link.get_attribute("href") for link in links]
def scrape(self):
"""
Let the Scraping Begin!
"""
# create a scraper object
scraper = ArticleScraper()
# scrape up to x pages on NYT
for i in range(self.MAX_PAGE_NUM):
# extract all links to articles on this page
links = self.getLinks()
# for each article link, go into it and extract content
for url in links[:2]:
bi_text = scraper.extract(url)
# write to file
self.write(bi_text)
def write(self, text):
"""
Write bitext article to a txt file
input: text - a tuple of English text, Chinese text and translated text
from Chinese to English
"""
if text:
# Set the filename
template = "output__{NUM}.txt"
filename = template.format(
NUM=format(self.FILE_NUM, "03") # pad with 3 zeros in front
)
with open(filename, 'w') as output:
# text is a tuple of en, ch and translated sentences
for t in text:
for sentence in t:
output.write(sentence + "\n")
# separate by asterisks
output.write("************************************************************" + "\n")
# increment the file number
self.FILE_NUM += 1
class ArticleScraper(Crawler):
def __init__(self):
# initialize crawler object for Article Scraper
super(ArticleScraper, self).__init__()
self.crawler = self.browser
# initialize a translator object
self.translator = Translate()
self.CSS_SELECTOR = "div.bilingual.cf > div.cf.articleContent"
def extract(self, url):
"""
For each article, separate the chinese and english text and return a list of list of
english and chinese text of this article
"""
URL = url + "dual/"
self.crawler.get(URL)
ch_text = [] # chinese sentence
en_text = [] # english sentence
tr_text = [] # sentence translated from chinese to english
try:
elements = self.crawler.find_elements_by_css_selector(self.CSS_SELECTOR)
for i in range(len(elements) - 1):
en, ch = elements[i].text.split("\n")
# print (en)
# print (cn)
en_text.append(en)
ch_text.append(ch)
# translate chinese to english
# this function has been shifted to another file
tmp_translated = self.translator.translate(ch)
tr_text.append(tmp_translated)
except:
# raise ValueError("Unable to extract content from URL:", URL)
print ("Unable to extract content from URL:", URL)
return (en_text, ch_text, tr_text)
if __name__ == "__main__":
# driver
parser = argparse.ArgumentParser()
parser.add_argument('--num_pages', '-num', required=True, help='Number of pages to scrape on New York Times')
args = parser.parse_args()
link_scraper = LinkScraper(args)
link_scraper.scrape()