Chap09_ChatGPT로생성한네이버블로그_검색1.py

import requests
from bs4 import BeautifulSoup

def crawl_naver_blog(search_keyword):
    # Format the URL with the search keyword
    url = f"https://search.naver.com/search.naver?where=view&sm=tab_jum&query={search_keyword}"
    
    # Send a GET request to the URL
    response = requests.get(url)
    
    # Create a BeautifulSoup object with the response content
    soup = BeautifulSoup(response.content, "html.parser")
    
    # Find the relevant tags that contain the blog information
    blog_tags = soup.find_all("li", class_="bx _svp_item")
 
    # Iterate over the blog tags and extract the required information
    for post in blog_tags:
        blog_name = post.find('a', {'class':'sub_txt sub_name'}).text
        try:
            blog_address = blog_name['href']
        except TypeError:
            blog_address = "" 

        post_date_elem = post.find('span', {'class':'sub_time sub_txt'})
        post_date = post_date_elem.text if post_date_elem else ""
        post_title_elem = post.find('a',
            {'class':'api_txt_lines total_tit _cross_trigger'})
        post_title = post_title_elem.text if post_title_elem else "" 

        print(blog_name)
        print(blog_address)
        print(post_title)
        print(post_date)


#함수를 호출
crawl_naver_blog("맥북에어")