写一段在pubmed查找并下载近5年血压与肠道微生物的文献的代码
时间: 2023-03-09 22:08:33 浏览: 138
要在PubMed上查找并下载近5年血压与肠道微生物之间的文献,可以使用以下代码:((("blood pressure"[MeSH Terms] OR "blood pressure"[All Fields]) AND ("intestines"[MeSH Terms] OR "intestines"[All Fields] OR "gut"[All Fields]) AND ("microbiota"[MeSH Terms] OR "microbiota"[All Fields] OR "microbiome"[All Fields] OR "microorganisms"[All Fields])) AND ("2015/01/01"[PDAT] : "2020/12/31"[PDAT]).
相关问题
写一段在pubmed查找并下载近5年血压与scfa的文献的代码
我可以为您提供以下代码,用于在PubMed中搜索并下载有关血压和SCFA的最新文献:# Import necessary packages
import os
import time
import requests
from bs4 import BeautifulSoup# Start timer
start_time = time.time()# Search PubMed for articles published in the last 5 years
url = 'https://www.ncbi.nlm.nih.gov/pubmed/?term=blood+pressure+AND+scfa+AND+last+5+years'# Make HTTP request
response = requests.get(url)# Parse HTML response
soup = BeautifulSoup(response.content, 'html.parser')# Get list of articles
articles = soup.find_all('div', class_='rslt')# Loop through articles and download PDFs
for article in articles:
# Get article URL
article_url = article.find('p', class_='title').a['href'] # Make HTTP request
article_response = requests.get(article_url) # Parse HTML response
article_soup = BeautifulSoup(article_response.content, 'html.parser') # Get PDF URL
pdf_url = article_soup.find('div', id='dlabs_fulltext_section').ul.li.a['href'] # Download PDF
pdf_response = requests.get(pdf_url)
filename = pdf_url.split('/')[-1]
with open(os.path.join('pubmed_papers', filename), 'wb') as f:
f.write(pdf_response.content)# Stop timer
end_time = time.time()
print('Time taken: {} seconds'.format(end_time - start_time))
用Python写一个pubmed的爬虫代码
下面是一个基本的Python爬虫代码,用于从PubMed中获取文章:
```python
import requests
from bs4 import BeautifulSoup
# 搜索关键词
keyword = "cancer"
# 构建查询URL
url = "https://pubmed.ncbi.nlm.nih.gov/?term=" + keyword
# 发送GET请求
response = requests.get(url)
# 解析HTML
soup = BeautifulSoup(response.text, 'html.parser')
# 获取文章标题和链接
for article in soup.find_all('article'):
title = article.find('a', class_='docsum-title').text
link = "https://pubmed.ncbi.nlm.nih.gov" + article.find('a', class_='docsum-title').get('href')
print(title)
print(link)
```
在这个代码中,我们使用了requests库来发送GET请求,然后使用BeautifulSoup库解析返回的HTML。我们使用关键词"cancer"来搜索PubMed,并将查询结果打印出来。你可以根据需要进行修改,例如更改搜索关键词、限制搜索结果数量等。