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 python
import scrapy
from ..items import SampletestItem #items class
class QuoteTestSpider(scrapy.Spider):
name = 'quote_test'
start_urls = ['https://quotes.toscrape.com/']
def parse(self, response):
items = SampletestItem() #items class
quotes = response.css("div.quote")
for quote in quotes:
items['title'] = quote.css("span.text::text").get()
items['author'] = quote.css(".author::text").get()
items['tags'] = quote.css(".tags .tag::text").getall()
yield items
next_page = response.css(".next a::attr(href)").get()
if next_page is not None:
next_url = response.urljoin(next_page)
yield scrapy.Request(next_url, callback=self.parse)web scraper python
from requests import get
from requests.exceptions import RequestException
from contextlib import closing
from bs4 import BeautifulSoupweb scraper python
def get_names():
"""
Downloads the page where the list of mathematicians is found
and returns a list of strings, one per mathematician
"""
url = 'http://www.fabpedigree.com/james/mathmen.htm'
response = simple_get(url)
if response is not None:
html = BeautifulSoup(response, 'html.parser')
names = set()
for li in html.select('li'):
for name in li.text.split('n'):
if len(name) > 0:
names.add(name.strip())
return list(names)
# Raise an exception if we failed to get any data from the url
raise Exception('Error retrieving contents at {}'.format(url))Copyright © 2021 Codeinu
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