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Michael answered on December 19, 2020 Popularity 10/10 Helpfulness 4/10

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#Scrapes Python's URL, version number and logo from its Wikipedia page:

# $ pip3 install requests beautifulsoup4
import requests, bs4, os, sys

URL = 'https://en.wikipedia.org/wiki/Python_(programming_language)'
try:
    html       = requests.get(URL).text
    document   = bs4.BeautifulSoup(html, 'html.parser')
    table      = document.find('table', class_='infobox vevent')
    python_url = table.find('th', text='Website').next_sibling.a['href']
    version    = table.find('th', text='Stable release').next_sibling.strings.__next__()
    logo_url   = table.find('img')['src']
    logo       = requests.get(f'https:{logo_url}').content
    filename   = os.path.basename(logo_url)
    with open(filename, 'wb') as file:
        file.write(logo)
    print(f'{python_url}, {version}, file://{os.path.abspath(filename)}')
except requests.exceptions.ConnectionError:
    print("You've got problems with connection.", file=sys.stderr)

Popularity 10/10 Helpfulness 4/10 Language python

Source: gto76.github.io

Tags: beautifulsoup parsing python web web-scraping

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Contributed on Mar 10 2022

Michael

0 Answers Avg Quality 2/10

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Python Script to Scrape Data From Website

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import os
import requests
from bs4 import BeautifulSoup
url = "https://www.google.com/"
reponse = requests.get(url)
if reponse.ok:
 soup = BeautifulSoup(reponse.text, "lxml")
 title = str(soup.find("title"))
 title = title.replace("<title>", "")
 title = title.replace("</title>", "")
 print("The title is : " + str(title))
os.system("pause")

Popularity 10/10 Helpfulness 3/10 Language python

Source: medium.com

Tags: python py

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Contributed on Jun 16 2022

Harendra

0 Answers Avg Quality 2/10

best scraping package in python

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pip install scrapy

Popularity 10/10 Helpfulness 3/10 Language python

Source: pypi.org

Tags: package

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Contributed on Dec 19 2020

Gwin

0 Answers Avg Quality 2/10

web scraping in python

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# Import the required libraries
import requests
from bs4 import BeautifulSoup

# Send a request to the website you want to scrape
response = requests.get('https://example.com')

# Parse the HTML content of the webpage using BeautifulSoup
soup = BeautifulSoup(response.text, 'html.parser')

# Find the desired element(s) within the parsed HTML
# For example, let's extract all the links on the page
links = soup.find_all('a')

# Iterate over the extracted links and print their text and URLs
for link in links:
    print(f"Text: {link.text}")
    print(f"URL: {link['href']}")

Popularity 9/10 Helpfulness 3/10 Language python

Source: Grepper

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Contributed on Sep 11 2023

YOU.com

0 Answers Avg Quality 2/10

web scraping using python code

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>>> from bs4 import BeautifulSoup
>>> raw_html = open('contrived.html').read()
>>> html = BeautifulSoup(raw_html, 'html.parser')
>>> for p in html.select('p'):
...     if p['id'] == 'walrus':
...         print(p.text)

'I am the walrus'


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')

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: python py

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Contributed on Nov 10 2021

Blue-eyed Bug

0 Answers Avg Quality 2/10

how to scrap data in python

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-1

import requests

from bs4 import BeautifulSoup
import pandas as pd
import time

# URL of the website to scrape
url = "https://www.imdb.com/chart/top"

# Send an HTTP GET request to the website
response = requests.get(url)

# Parse the HTML code using BeautifulSoup
soup = BeautifulSoup(response.content, 'html.parser')

# Extract the relevant information from the HTML code
movies = []
for row in soup.select('tbody.lister-list tr'):
title = row.find('td', class_='titleColumn').find('a').get_text()
year = row.find('td', class_='titleColumn').find('span', class_='secondaryInfo').get_text()[1:-1]
rating = row.find('td', class_='ratingColumn imdbRating').find('strong').get_text()
movies.append([title, year, rating])

# Store the information in a pandas dataframe
df = pd.DataFrame(movies, columns=['Title', 'Year', 'Rating'])

# Add a delay between requests to avoid overwhelming the website with requests
time.sleep(1)

Popularity 6/10 Helpfulness 1/10 Language python

Source: nanonets.com

Tags: python

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Contributed on Mar 14 2024

Akhlaq Altaf

0 Answers Avg Quality 2/10

python scraping

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