python爬虫运行成功但是数据没有输出

Question

我做一个爬取pubmed的爬虫来爬取文章标题和链接。
可是能正常运行但是怕去不了数据，我测试后他说未发现文章。可是我用之前的一个用过的爬虫爬取同样的网站，他能爬取出文章，这是为什么啊各位。
这个是运行但不出数据

import requests
from bs4 import BeautifulSoup

url = 'https://pubmed.ncbi.nlm.nih.gov/?term=cervical%20cancer%20treatment&filter=years.2020-2023'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.50'
}

def get_articles(url):
    # 发送HTTP请求，获取页面数据
    response = requests.get(url, headers=headers)
    html = response.text

    # 解析HTML代码
    soup = BeautifulSoup(html, 'html.parser')

    # 找到包含文章信息的标签
    article_tags = soup.select('.docsum-content')
    
    # 提取每篇文章的标题和链接
    results = []
    for tag in article_tags:
        title_tags = tag.select('.docsum-title > a')
        if title_tags:
            title = title_tags[0].get_text().strip()
            link = 'https://pubmed.ncbi.nlm.nih.gov' + title_tags[0]['href']
            results.append((title, link))
    
    return results

if __name__ == '__main__':
    for page in range(1, 6):
        page_url = f'{url}&page={page}'
        articles = get_articles(page_url)
        for article in articles:
            print(article[0])
            print(article[1])
            print('---')
if __name__ == '__main__':
    for page in range(1, 6):
        page_url = f'{url}&page={page}'
        articles = get_articles(page_url)
        print(f'Page {page}: {page_url} ({len(articles)} articles found)')
        for article in articles:
            print(article[0])
            print(article[1])
            print('---')
这是可以运行的代码
```python
import requests
from bs4 import BeautifulSoup
import pandas as pd

url = "https://pubmed.ncbi.nlm.nih.gov/?term=cervical%20cancer%20treatment&filter=years.2020-2023"
num_pages = 10

data = []

for i in range(num_pages):
    # Construct the URL for the current page
    page_url = f"{url}&page={i+1}"
    
    # Make a request to the page and parse the HTML using Beautiful Soup
    response = requests.get(page_url)
    soup = BeautifulSoup(response.content, 'html.parser')
    
    # Find all the articles on the current page
    articles = soup.find_all("div", class_="docsum-content")
    
    # Extract the title and link for each article and append to the data list
    for article in articles:
        title = article.find("a", class_="docsum-title").text.strip()
        link = article.find("a", class_="docsum-title")["href"]
        data.append([title, link])

df = pd.DataFrame(data, columns=["Title", "Link"])
df.to_excel("cervical_cancer_treatment.xlsx", index=False)

```