zennn077/budget

!pip install requests-html
import requests
from bs4 import BeautifulSoup
import csv

# Function to scrape data from the website
def scrape_website(url):
# Send a GET request to the URL
response = requests.get(url)

# Check if the request was successful
if response.status_code == 200:
# Parse the HTML content
soup = BeautifulSoup(response.content, 'html.parser')

# Find the press release content
press_release_content = soup.find('div', {'id': 'divPressRelease'})

# Extract the title and content
title = press_release_content.find('h1').text.strip()
content = press_release_content.find('div', {'class': 'pressreldetail'}).text.strip()

return title, content
else:
print("Failed to retrieve data from the website.")
return None, None

# Main function
def main():
# URL of the website to scrape
url = 'https://www.pib.gov.in/PressReleasePage.aspx?PRID=1895315'

# Scrape data from the website
title, content = scrape_website(url)

# Write the scraped data to a CSV file
if title and content:
with open('scraped_data.csv', 'w', newline='', encoding='utf-8') as csvfile:
writer = csv.writer(csvfile)
writer.writerow(['Title', 'Content'])
writer.writerow([title, content])

print("Scraped data has been saved to 'scraped_data.csv'.")
else:
print("No data was scraped.")

原始信息汇总

数据集概述

数据来源

• 数据来源于网站：https://www.pib.gov.in/PressReleasePage.aspx?PRID=1895315

数据内容

• 数据包括新闻发布的内容，具体包括标题和内容。

数据处理

• 通过网络爬虫技术从指定网站抓取数据。
• 使用BeautifulSoup库解析HTML内容，提取新闻发布的标题和内容。

数据存储

• 抓取的数据存储在CSV文件中，文件名为scraped_data.csv。