用BeautifulSoup和Python从PubMed搜索结果中抓取引用文本？

import requests
from bs4 import BeautifulSoup

# PubMed搜索URL
search_url = "https://pubmed.ncbi.nlm.nih.gov/?term=your_search_term"

# 发送HTTP请求
response = requests.get(search_url)

# 检查请求是否成功
if response.status_code == 200:
    # 使用BeautifulSoup解析HTML内容
    soup = BeautifulSoup(response.content, 'html.parser')
    
    # 查找所有的引用项
    articles = soup.find_all('article', class_='full-docsum')
    
    # 遍历每个引用项并提取文本
    for article in articles:
        title = article.find('a', class_='docsum-title').text.strip()
        authors = article.find('span', class_='docsum-authors full-authors').text.strip()
        journal = article.find('span', class_='docsum-journal-citation').text.strip()
        
        print(f"Title: {title}")
        print(f"Authors: {authors}")
        print(f"Journal: {journal}")
        print("-" * 80)
else:
    print(f"Failed to retrieve data. Status code: {response.status_code}")