python web scraping
import requests
from bs4 import BeautifulSoup
URL = 'https://www.monster.com/jobs/search/?q=Software-Developer&where=Australia'
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
python web scraping
import requests
from bs4 import BeautifulSoup
URL = 'https://www.monster.com/jobs/search/?q=Software-Developer&where=Australia'
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
web scraping with python
# example of web scraping links using asyncio and using all cores
import asyncio, requests, aiohttp, os
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor, as_completed
from bs4 import BeautifulSoup as BS
executor = ThreadPoolExecutor(max_workers=8)
loop = asyncio.get_event_loop()
async def make_requests():
urls = ['http://www.filedropper.com/lister.php?id=0', 'http://www.filedropper.com/lister.php?id=1', 'http://www.filedropper.com/lister.php?id=2', 'http://www.filedropper.com/lister.php?id=3', 'http://www.filedropper.com/lister.php?id=4', 'http://www.filedropper.com/lister.php?id=5', 'http://www.filedropper.com/lister.php?id=6', 'http://www.filedropper.com/lister.php?id=7', 'http://www.filedropper.com/lister.php?id=8', 'http://www.filedropper.com/lister.php?id=9', 'http://www.filedropper.com/lister.php?id=a', 'http://www.filedropper.com/lister.php?id=b', 'http://www.filedropper.com/lister.php?id=c', 'http://www.filedropper.com/lister.php?id=d', 'http://www.filedropper.com/lister.php?id=e', 'http://www.filedropper.com/lister.php?id=f', 'http://www.filedropper.com/lister.php?id=g', 'http://www.filedropper.com/lister.php?id=h', 'http://www.filedropper.com/lister.php?id=i', 'http://www.filedropper.com/lister.php?id=j', 'http://www.filedropper.com/lister.php?id=k', 'http://www.filedropper.com/lister.php?id=l', 'http://www.filedropper.com/lister.php?id=m', 'http://www.filedropper.com/lister.php?id=n', 'http://www.filedropper.com/lister.php?id=o', 'http://www.filedropper.com/lister.php?id=p', 'http://www.filedropper.com/lister.php?id=q', 'http://www.filedropper.com/lister.php?id=r', 'http://www.filedropper.com/lister.php?id=s', 'http://www.filedropper.com/lister.php?id=t', 'http://www.filedropper.com/lister.php?id=u', 'http://www.filedropper.com/lister.php?id=v', 'http://www.filedropper.com/lister.php?id=w', 'http://www.filedropper.com/lister.php?id=x', 'http://www.filedropper.com/lister.php?id=y', 'http://www.filedropper.com/lister.php?id=z']
futures = [loop.run_in_executor(executor, requests.get, url) for url in urls]
await asyncio.wait(futures)
for future in futures:
soup = BS(future.result().content)
for all_links in soup.find_all('a', href=True):
print("URL:", all_links['href'])
with open('filedropper_com.txt', 'a') as f:
f.write(all_links['href'] + 'n')
loop.run_until_complete(make_requests())
web scraper python
from requests import get
from requests.exceptions import RequestException
from contextlib import closing
from bs4 import BeautifulSoup
web scraper python
def get_hits_on_name(name):
"""
Accepts a `name` of a mathematician and returns the number
of hits that mathematician's Wikipedia page received in the
last 60 days, as an `int`
"""
# url_root is a template string that is used to build a URL.
url_root = 'URL_REMOVED_SEE_NOTICE_AT_START_OF_ARTICLE'
response = simple_get(url_root.format(name))
if response is not None:
html = BeautifulSoup(response, 'html.parser')
hit_link = [a for a in html.select('a')
if a['href'].find('latest-60') > -1]
if len(hit_link) > 0:
# Strip commas
link_text = hit_link[0].text.replace(',', '')
try:
# Convert to integer
return int(link_text)
except:
log_error("couldn't parse {} as an `int`".format(link_text))
log_error('No pageviews found for {}'.format(name))
return None
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