def __init__(self, qr):
self.bib = dict()
for div in qr:
temp = bs4(str(div.findAll("div", {"class": "gs_ri"})))
self.bib['url'] = (temp.find('a')['href']) # get the url
self.bib['title'] = (temp.find('a').text
) # get the title of the url
self.bib['Publisher'] = (bs4(
str(div.findAll("div", {"class": "gs_a"}))).text
) # get publishing details
self.bib['abstract'] = (bs4(
str(div.findAll("div", {"class": "gs_rs"}))).text
) #get abstract of publication
self.bib['citedby'] = (bs4(
str(div.findAll("div", {"class": "gs_fl"}))).find('a').text
) #get number of citations
for pub in pub_details:
temp = pub.split('-')
author.append(temp[0])
year.append(temp[1])
try:
pub_journal.append(temp[2])
except:
pub_journal.append('NA')
self.url = url
self.urlText = urlText
self.abstract = abstract
self.cite = re.sub("[A-Z,a-z]", "", str(cite))
self.author = author
self.pub_journal = pub_journal
self.year = year
class CheckMp3Path(object):
def __init__(self, thread_num=30):
self.data_file = "prder"
self.session = requests.session()
self.session.headers = {
"User-Agent":
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.71 Safari/537.36"
}
self.get = self.session.get
self.thread_num = thread_num
self.html_parser = htmlP()
def start(self):
records = self.load_file()
index = 0
que = Queue.Queue()
threads = []
for i in records:
index += 1
que.put([i, self.req])
for j in xrange(self.thread_num):
threads.append(Down(que, "线程" + str(j), DB()))
for j in threads:
j.setDaemon(True)
j.start()
for j in threads:
j.join()
print "END ALL"
def req(self, album):
url = "http://www.xiami.com/search/album?key=%s" % album
print "搜索:", url
con = self.get(url).content
try:
href = re.findall('CDcover100.+?href="(.+?)"', con, re.S)[0]
except IndexError, e:
print e, url
return "", ""
print "专辑", href
con = self.get(href).content
try:
language = re.findall("语种.+?td>.+?<td.+?>(.+?)</td", con,
re.S)[0].strip()
language = bs4(language).text
language = self.html_parser.unescape(language).encode("utf8")
#rtime = '-'.join(re.findall("<span>发行时间：(\d+)年(\d+)月(\d+)日</span", con, re.S)[0])
#rtime = re.findall("发行时间.+?top\">(.+?)</td", con, re.S)[0].replace("年", '-').replace("月", '-').replace("日", '')
genre = re.findall("专辑风格.+?<a.+?>(.+?)</a", con, re.S)[0].strip()
genre = bs4(genre).text
genre = self.html_parser.unescape(genre).encode("utf8")
except Exception, e:
print e
return "", ""
def searchResults(topic, n=None):
queryRes = []
query = addQuotes(topic)
if n is None:
n = 10
for i in range(0, n):
# url to scrape
url_scrape = 'https://scholar.google.com/scholar?start=%d0' % i + '&q=%s' % query + '&hl=en&as_sdt=0,44'
#add delay between requests
time.sleep(0)
# get the html data
html = requests.get(url=url_scrape)
# Convert html text to beautiful soup object
soup = bs4(html.text)
'''
f = open('TopicQuery_HTML.txt','wb')
f.write(str(soup))
f.close()
'''
# Get the query results from html page
q_table = soup.findAll("div", {"class": "gs_r"})
q = queryResult(q_table)
def save_data_from_link(link):
final_data={}
try:
page=html.fromstring(requests.get(link).text)
final_data['title']=page.xpath("//h3[@class='post-title entry-title']//div//p//text()")[0]
all_dd=page.xpath("//dl[@class='dl-horizontal']//dd")
all_dt=page.xpath("//dl[@class='dl-horizontal']//dt")
for item in zip(all_dt,all_dd):
final_data[bs4(etree.tostring(item[0])).text]=bs4(etree.tostring(item[1])).text
final_data['about']=html2text(etree.tostring(page.xpath("//div[@id='info']")[0]))
final_data['event']=html2text(etree.tostring(page.xpath("//div[@id='events']")[0]))
final_data['register']=html2text(etree.tostring(page.xpath("//div[@id='register']")[0]))
final_data['contact']=html2text(etree.tostring(page.xpath("//div[@id='contact']")[0]))
final_data['tags']=page.xpath("//ul[@class='list-unstyled list-inline blog-tags']//a//text()")
#about,event,register,contact are in Markdown-structured text
except:
pass
return final_data
def login(self, *arg):
url = 'https://kyfw.12306.cn/otn/index/init'
self.request = urllib2.Request(url)
try:
response = urllib2.urlopen(self.request).read()
except Exception:
return self.login()
soup = bs4(response)
data = soup.find('a', {'id':'login_user'}).text
print data
def get_college_details():
source=get_source(url)
soup=bs4(source)
x=soup.findAll('tr')
i=1
details=[]
for item in x:
country=item.find('td',{'class':'country'}).img['alt']
rank=i
university=item.a.text
#print (country,rank,university)
i=i+1
details.append((country,rank,university))
return details
def getNFLMatchups(self, path):
results = []
soup = bs4( open(path, 'r').read() )
##grid = soup.find("td", {"class" : "viBodyBorderNorm"})
### bigger table but, seemingly can get more specificity by color
grid = soup.find("table", {"bgcolor" : "C48F1B"})
#tr color:d6bd7b are rows with info, that I don't need so remove
extraneous_rows = grid.findAll("tr", {"bgcolor" : "d6bd7b"})
[row.extract() for row in extraneous_rows]
game_rows = grid.findAll("tr")
#note; the above game_rows have all betting information, helful for future stories
for game in game_rows:
dirty_teams = game.findAll("a", {"target":None})
row = {'home' : dirty_teams[1].text, 'away' : dirty_teams[0].text}
results.append(row)
return results
def search_forms(self, txt):
# Soup Object
self.soup = bs4(txt)
self.forms = self.soup.findAll('form')
self.form_len = len(self.forms)
if self.form_len < 0:
return False
self.site = {}
self.i = 0
for self.form in self.forms:
self._f = self.control(self.form)
self._key = str(self.i)
self.site[self._key] = {}
for self.key in self._f:
self.site[self._key][self.key] = self._f[self.key]
self.inputs = self.forms[self.i].findAll('input')
self.site[self._key]['inputs'] = []
for self._input in self.inputs:
self._in = {}
self._i = self.control(self._input)
for self.key in self._i:
self._in[self.key] = self._i[self.key]
self.site[self._key]['inputs'].append(self._in)
self.i += 1
return self.site
for row in record['eGQueryResult']:
if row["DbName"]=="pubmed":
print row["Count"]
handle=Entrez.esearch(db="pubmed", term="Kai Zheng", retmax=200,usehistory="y")
record=Entrez.read(handle)
handle.close()
idlist=record["IdList"]
webenv=record["WebEnv"]
query=record["QueryKey"]
papers=Entrez.efetch(db="pubmed", query_key=query, rettype="abstract", WebEnv=webenv, retmode="html", retmax=50)
for pap in papers:
try:
pap=bs4(pap)
print type(pap).prettify()
except:
print 'Nope'
# print "title:", record.get("TI")
# print "authors:", record.get("AU")
# print "source:", record.get("SO")
# hand2=Entrez.efetch(db="pubmed", id=idlist, rettype='abstract', retmode="text", retmax=50)
# records= Medline.parse(handle)
# for record in records:
# print records
# print "title:", record.get("TI","?")
# print "authors:", record.get("AU","?")
# print "source:", record.get("SO","?")
def get_rental_data(neighborhoods):
"""This function loops through all the items in neighborhoods,
scrapes craiglist for date for that neighborhood, appends it to a list,
and uploads a json to s3.
Args:
neighborhoods: neighborhoods is a dictionary containing
the names of the neighborhoods as keys and the craigslist URLs as values.
"""
# Create list to hold all scraped data
rental_data = []
# Loop through neighborhoods dict
for neighborhood, url in neighborhoods.items():
# Retrieve page with the requests module
response = requests.get(url)
# Create BeautifulSoup object; parse with 'lxml'
soup = bs4(response.text, 'lxml')
# results are returned as an iterable list
results = soup.find_all('li', class_="result-row")
# Loop through returned results
for result in results:
# Error handling
try:
# Identify and return bedrooms and footage
raw_br = result.find(
'span', class_="housing").text.split("-")[0].strip()
if regex.search(raw_br):
bedrooms = float(regex.search(raw_br).group(1))
else:
continue
raw_sqft = result.find(
'span', class_="housing").text.split("-")[1].strip()
if regex.search(raw_sqft):
sqft = float(regex.search(raw_sqft).group(1))
else:
continue
# Get datetime of post
datetime = result.find("time")["datetime"]
# Identify and return title of listing
title = result.find('a', class_="result-title").text
# Identify and return price of listing
price = float(result.a.span.text.strip("$"))
# Identify and return link to listing
link = result.a['href']
# Create dictionary for result
data = {
"neighborhood": neighborhood,
"datetime": datetime,
"title": title,
"price": price,
"bedrooms": bedrooms,
"sqft": sqft,
"link": link
}
# Append data to list
rental_data.append(data)
except:
continue
# Load rental data to s3
obj = s3.Object(output_bucket, ouput_obj_path)
obj.put(Body=json.dumps(rental_data, separators=(',', ':')))
def strip_tags(html): return ''.join(bs4(html).findAll(text=True))
def makeSoup(src): return bs4(src)
import requests
from config import account,password
from BeautifulSoup import BeautifulSoup as bs4
s = requests.session()
# initial request paraments
urlLogin = "******"
header = {
'Host':'signin.fcu.edu.tw',
'Content-Type':'application/x-www-form-urlencoded',
'Referer':'https://signin.fcu.edu.tw/clockin/login.aspx',
'User-Agent':'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36'
}
# get initial page session
r = s.get(urlLogin)
response = bs4(r.text)
# initial login paraments
postdataLogin = {
'i__EVENTTARGET':'',
'__EVENTARGUMENT':'',
'LoginLdap$LoginButton':'登入'
}
# parse form data
for element in response.findAll('input',{'type':'hidden','value':True}):
postdataLogin[str(element['name'])] = str(element['value'])
postdataLogin['LoginLdap$UserName'] = account
postdataLogin['LoginLdap$Password'] = password
# log in
loginHtml = s.post(urlLogin,data=postdataLogin,headers=header)