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两个py文件
起主要作用的Search&Download.py
# -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
from Download import Hubber
import xlwt,os
from time import sleep
from tqdm import tqdm
TotalNum=0
class Article(object):
title = ""
article_link = ""
authors = ""
authors_link = ""
abstract = ""
def __init__(self):
title = "New Paper"
def save_xls(sheet, paper):
# 将数据按列存储入excel表格中
global TotalNum
sheet.write(TotalNum, 0, TotalNum)
sheet.write(TotalNum, 1, paper.title)
sheet.write(TotalNum, 2, paper.article_link)
sheet.write(TotalNum, 3, paper.journal)
sheet.write(TotalNum, 4, paper.authors_link)
sheet.write(TotalNum, 5, paper.abstract)
TotalNum += 1
head = { \
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.117 Safari/537.36' \
} # 20210607更新,防止HTTP403错误
article_titles = []
article_links = []
def GetInfo(sheet,url):
r = requests.get(url, headers=head)
r.raise_for_status()
r.encoding = r.apparent_encoding
soup = BeautifulSoup(r.text, "html.parser")
#print("\n"+soup)
articles = soup.find_all(class_="gs_ri")
for article in articles:
paper =Article()
try:
title = article.find('h3')
paper.title = title.text
#print("\n"+paper.title)
article_titles.append(paper.title)
paper.article_link = title.a.get('href')
#print("\n"+paper.article_link)
article_links.append(paper.article_link)
journal = article.find(class_="gs_a")
paper.journal =journal.text
#print("\n"+paper.authors)
authors_addrs = journal.find_all('a')
for authors_addr in authors_addrs:
#print("\n"+authors_addr.get('href'))
paper.authors_link=paper.authors_link +(authors_addr.get('href'))+"\n"
abstract = article.find(class_="gs_rs")
paper.abstract = abstract.text
#print("\n"+paper.abstract)
except:
continue
save_xls(sheet,paper)
return
def getArticle(article_titles,article_links):
dir = ".\\Articles\\" +keyword +"\\"
#print (dir)
if os.path.exists(dir) == False:
os.mkdir(dir)
for k in tqdm(range(len(article_titles))):
article_titles[k]="{0}".format(article_titles[k].replace(':', ' ')).replace('.', '')
path = dir + article_titles[k] + ".pdf"
#print("\n"+path)
try:
Hubber.getPDF(article_links[k],path)
sleep(0.5)
except:
continue
if __name__ == '__main__':
myxls = xlwt.Workbook()
sheet1 = myxls.add_sheet(u'PaperInfo', True)
column = ['序号', '文章题目','文章链接','期刊', '作者链接', '摘要']
for i in range(0, len(column)):
sheet1.write(TotalNum, i, column[i])
TotalNum+=1
keyword=input("keywords is?\n")
#keyword = diabetes and conjunctiva and (microcirculation or microvasculature)
#print("\n"+keyword)
key = keyword.replace(" ","+")
info = keyword + "_PaperInfo.xls"
print("\n"+"检索中……")
if os.path.exists(info) == True:
print("\n" + "PaperInfo already exists!")
else:
start = 0
for i in tqdm(range(10)):
url = 'https://xs.dailyheadlines.cc/scholar?start=' + str(start) + '&q=' + key + '&hl=zh-CN&as_sdt=0,5'
start = start + 10
GetInfo(sheet1,url)
myxls.save(keyword+'_PaperInfo.xls')
sleep(0.5)
print("\n"+"检索完成")
print("\n"+"下载中……")
if len(article_titles) != 0:
getArticle(article_titles, article_links)
else:
import xlrd
data = xlrd.open_workbook(info)
table = data.sheet_by_index(0)
article_titles = table.col_values(1)[1:]
article_links = table.col_values(2)[1:]
#print("\n"+article_titles)
#print("\n"+article_links)
getArticle(article_titles, article_links)
print("\n"+ "下载完成")
起辅助作用的Download.py,可将更多网站补充进去!
import os.path
import re
import requests
from bs4 import BeautifulSoup
class Hubber:
head = { \
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.117 Safari/537.36' \
} # 20210607更新,防止HTTP403错误
def pdf_hub(url,path):
try:
pdf = requests.get(url, headers=Hubber.head)
with open(path, "wb") as f:
f.write(pdf.content)
print("\n"+"pdf found directly!")
except:
print("\n"+"failed to download pdf directly!\n" +url)
Hubber.err_log(url)
def sci_hub(path,doi):
doi = str(doi).split("https://doi.org/")[1]
url = "https://www.sci-hub.ren/doi:" + doi + "#"
r = requests.get(url, headers=Hubber.head)
r.raise_for_status()
r.encoding = r.apparent_encoding
soup = BeautifulSoup(r.text, "html.parser")
download_url = soup.iframe.attrs["src"]
try:
download_r = requests.get(download_url, headers=Hubber.head)
download_r.raise_for_status()
with open(path, "wb+") as temp:
temp.write(download_r.content)
print("\n"+"Article downloaded by doi!")
except:
print("\n"+"failed to download pdf by doi!\n" +url)
Hubber.err_log(url)
def err_log(url):
with open("download_err.txt", "a+", encoding="utf-8") as error:
error.write("PDF not found,download link may be: \n"+url +"\n")
def getSoup(url):
r = requests.get(url, headers=Hubber.head)
r.raise_for_status()
r.encoding = r.apparent_encoding
soup = BeautifulSoup(r.text, "html.parser")
return soup
def getPDF(url,path):
if os.path.exists(path) == True:
print("\n" + "Article already exists")
else:
if (len(re.findall('pdf', url)) != 0):
print ("\n"+'pdf link already!')
Hubber.pdf_hub(url,path)
elif re.match("https://www.sci-hub.ren/",url):
print("\n" + 'sci_hub link!')
url = str(url).replace("https://www.sci-hub.ren/","https://doi.org/")
Hubber.sci_hub(path,url)
#if pdf can be easily found!
elif re.match("https://academic.oup.com/", url):
soup = Hubber.getSoup(url)
pdf_link ="https://academic.oup.com"+soup.find(class_="al-link pdf article-pdfLink").get('href')
#print("\n"+pdf_link)
Hubber.pdf_hub(pdf_link,path)
'''
doi = soup.select('div[class="ww-citation-primary"]')[0].a.get('href')
#print("\n"+doi)
Hubber.sci_hub(path,doi)
'''
elif re.match("https://content.iospress.com/", url):
soup = Hubber.getSoup(url)
pdf_link = soup.find(class_="btn btn-download btn-right get-pdf").get('href')
# print("\n"+pdf_link)
Hubber.pdf_hub(pdf_link, path)
elif re.match("https://wwwnature.53yu.com/", url):
soup = Hubber.getSoup(url)
pdf_link = soup.find(class_="c-pdf-download__link").get('href')
#print("\n"+pdf_link)
Hubber.pdf_hub(pdf_link, path)
elif re.match("https://bjo.bmj.com/", url):
soup = Hubber.getSoup(url)
pdf_link = soup.find(class_="article-pdf-download").get('href')
pdf_link = "https://bjo.bmj.com" + pdf_link
#print("\n"+pdf_link)
Hubber.pdf_hub(pdf_link,path)
elif re.match("https://jamanetwork.com/", url):
soup = Hubber.getSoup(url)
pdf_link = soup.find(class_="toolbar-tool toolbar-pdf al-link pdfaccess").get('data-article-url')
pdf_link = "https://jamanetwork.com" + pdf_link
#print("\n"+pdf_link)
Hubber.pdf_hub(pdf_link, path)
#if pdf can't be easily found,but doi can!
elif re.match("https://sciencedirect.53yu.com/", url):
soup = Hubber.getSoup(url)
doi = soup.find(class_="doi").get('href')
Hubber.sci_hub(path, doi)
elif re.match("https://diabetes.diabetesjournals.org/", url):
soup = Hubber.getSoup(url)
doi = soup.select('.citation-doi')[0].a.get('href')
Hubber.sci_hub(path, doi)
elif re.match("https://journals.lww.com/", url):
soup = Hubber.getSoup(url)
doi = "https://doi.org/" + str(soup.find(id="ej-journal-doi").text).split("doi: ")[1]
Hubber.sci_hub(path, doi)
else:
'''
https://europepmc.org/
https://iovs.arvojournals.org/
https://linkspringer.53yu.com/
'''
print("\n"+"To be prettified!Download link may be: " +"\n" +url)
Hubber.err_log(url)
if __name__ == '__main__' :
url = "https://www.nature.com/articles/s41598-021-87315-7.pdf"
url1 = "https://www.sci-hub.ren/doi:10.1067/mva.2003.139#"
url2 = "https://www.sci-hub.ren/doi:10.1067/mva.2003.139#"
Hubber.getPDF(url,"test.pdf")
Hubber.getPDF(url1,"test1.pdf")
Hubber.getPDF(url2,"test2.pdf")
发布者:全栈程序员-用户IM,转载请注明出处:https://javaforall.cn/183156.html原文链接:https://javaforall.cn
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