def table():
r = requests.get('https://www.worldometers.info/coronavirus/#countries')
print(r.status_code)
soup = b(r.text, 'lxml')
# find our table
table = soup.find('table', id='main_table_countries_today')
tbody = table.find('tbody')
# print(tbody)
table_row = tbody.find_all('tr')
all_rows = []
for tr in table_row:
td = tr.find_all('td')
row = [i.text.replace('\n', ' ').strip() for i in td]
all_rows.append(row)
df = pd.DataFrame(all_rows,
columns=[
'country', 'total_cases', 'new_cases',
'total_deaths', 'new_deaths', 'total_recovered',
'active', 'serirous', '1', '2', '3', '4', '5'
])
# print(df.head())
df.drop(index=[0, 1, 2, 3, 4, 5, 6, 7], inplace=True)
df.drop(columns=['1', '2', '3', '4'], inplace=True)
copy_df = df.copy()
# print(copy_df.head())
copy_df['total_recovered'] = copy_df['total_recovered'].str.replace(
'N/A', '0')
copy_df['new_cases'] = copy_df['new_cases'].str.replace('+', '')
copy_df['new_deaths'] = copy_df['new_deaths'].str.replace('+', '')
# print(copy_df.head())
copy_df['total_cases'] = copy_df['total_cases'].str.replace(',', '')
copy_df['new_cases'] = copy_df['new_cases'].str.replace(',', '')
copy_df['total_deaths'] = copy_df['total_deaths'].str.replace(',', '')
copy_df['total_recovered'] = copy_df['total_recovered'].str.replace(
',', '')
copy_df['active'] = copy_df['active'].str.replace(',', '')
copy_df['serirous'] = copy_df['serirous'].str.replace(',', '')
# print(copy_df.head())
copy_df['total_cases'] = pd.to_numeric(copy_df['total_cases'])
copy_df['new_cases'] = pd.to_numeric(copy_df['new_cases'])
copy_df['total_deaths'] = pd.to_numeric(copy_df['total_deaths'])
copy_df['new_deaths'] = pd.to_numeric(copy_df['new_deaths'])
copy_df['total_recovered'] = pd.to_numeric(copy_df['total_recovered'])
copy_df['active'] = pd.to_numeric(copy_df['active'])
copy_df['serirous'] = pd.to_numeric(copy_df['serirous'])
# print(copy_df.head())
copy_df.fillna(0, inplace=True)
# print(copy_df.head())
return copy_df
def get_num_flw(self, flag, user):
if flag == "followers":
# Followers
flw = WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located(
(By.XPATH,
f"//a[contains(@href, \'/{user}/followers/\')]")))
# flw = WebDriverWait(self.driver, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, '#react-root > section > main')))
sflw = b(flw.get_attribute('innerHTML'), 'html.parser')
followers = sflw.findAll('span', {'class': 'g47SY'})
f = followers[0].getText().replace(',', '')
elif flag == "following":
# Following
flw = WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located(
(By.XPATH,
f"//a[contains(@href, \'/{user}/following/\')]")))
sflw = b(flw.get_attribute('innerHTML'), 'html.parser')
followers = sflw.findAll('span', {'class': 'g47SY'})
f = followers[0].getText().replace(',', '')
if 'k' in f:
f = float(f[:-1]) * 10**3
return f
elif 'm' in f:
f = float(f[:-1]) * 10**6
return f
else:
return float(f)
def MCQScraper(link):
page_title=link.split("/")[3]
heading="<!DOCTYPE html>\n<html>\n<head>\n<title>"+page_title+"</title>\n</head>\n<link rel='stylesheet' type='text/css' href='./style.css'>\n<body>";
file=open("../cse/"+page_title+".html","w")
file.write(heading)
p=r.get(link).text
soup=b(p,features="html.parser")
links=[]
table_data=soup.find_all("td");
for data in table_data:
href=data.a["href"]
# text=data.a.text;
if(href):
#title.append(text)
links.append(href)
k=0
for i in links:
p=r.get(i).text
soup=b(p,features="html.parser")
questions=soup.find("div",{"class":"entry-content","itemprop":"text"})
file.write(str(questions))
ending="</body>\n<script src='./script.js'></script>\n</html>"
file.write(ending)
def queued_data_loop(session):
"""
Main data loop once logged in, gets list of ids and initializes a queue to iterate through and gathers data.
:param session: User Login info
"""
while not id_queue.empty():
try: #A more broad exception to try and encapsulate if anything happens during the request process
print('Ticket Number: ', id_queue.qsize())
quoteID = id_queue.get()
print('getting id: ', str(quoteID))
r = session.get(ENGINEERING_DETAILS + str(quoteID), verify=False)
soup = b(r.text, 'html.parser')
table = soup.find_all('a')
dateTable = soup.find_all('caption')
dateTableList = []
soupList = []
for link in table:
soupList.append(link)
quotes = findQuotes(soupList)
orderMatch = r'(^[a-zA-Z])(\w+)'
#Determine the quarter of ticket
for item in dateTable:
dateTableList.append(item)
date = findDate(dateTableList)
if not quotes:
print("No quotes...Next ticket!")
id_queue.task_done()
else:
for quote in quotes: # get rack from each quote
#TODO test this area
if re.search(orderMatch, str(quote)):
r = session.get(
ENGINEERING_ORDERS +
str(re.search(orderMatch, str(quote)).group(2)),
verify=False)
# print(ENGINEERING_ORDERS + str(re.search(orderMatch, str(quote)).group(2)))
else:
r = session.get(ENGINEERING_QUOTES + str(quote),
verify=False)
quotehtml = b(r.text, 'html.parser')
quotelinks = quotehtml.find_all('tr')
quoteDetails = []
for link in quotelinks:
quoteDetails.append(link)
findRack(quoteDetails, date, session,
quoteID) # list of racks from each quote
# print("Racks in dict: ", rackDict)
# print(racks)
id_queue.task_done()
#TODO create more informative error handeling
except Exception as e:
import logging
logging.exception('Something Happened...')
id_queue.task_done()
print('Ended at: ', id_queue.qsize())
def shopSearch(request, page):
b_url = "https://www.n11.com/arama?q="
url_sep = "&pg="
url = b_url + request + url_sep + page
html = urllib2.urlopen(url).read()
soup = b(html, "html.parser")
for post in soup.findAll("li", {"class": "column"}):
try:
item = post.findAll("a", {"class": "plink"})[0]
title = item['title']
price = post.findAll("ins")[0].text.replace(" ",
"").replace("\n", "")
link = item['href']
sellerName = post.findAll("span",
{"class": "sallerName"})[0].text.replace(
" ", "").replace("\n", "")
sellerPoint = post.findAll("span",
{"class": "point"})[0].text.replace(
" ", "").replace("\n", "")
print(title)
print(price + "\t Seller Name: " + sellerName + "\t Rating: " +
sellerPoint)
print(link + "\n")
except:
pass
def cheapest(request, page):
x = []
b_url = "https://www.cimri.com/arama?"
url_sep = "page="
seps2 = "&q="
url = b_url + url_sep + page + seps2 + request
html = urllib2.urlopen(url).read()
soup = b(html, "html.parser")
for post in soup.findAll("div", {"id": "cimri-product"}):
try:
item = post.findAll("h2", {"class": "product-title"})[0].text
link = post.findAll("a")[0]['href']
for markets in post.findAll("div", {"class": "tag"}):
market = markets.text
for prices in post.findAll("a", {"class": "s14oa9nh-0 gwkxYt"}):
x.append(
prices.text.replace("com", "com : ").replace(".tr", ""))
print(item)
print(x[0])
print(x[1])
print("https://www.cimri.com/" + link + "\n")
x = []
except:
pass
def news(grabyear, grabcountry):
import requests
from bs4 import BeautifulSoup as b
import pandas as pd
import webbrowser
Country = grabcountry
Before = grabyear
url = f"https://www.google.co.in/search?q=+{Country}+co2+emissions+scholarly+articles+before:+{Before}"
print(url)
response = requests.get(url)
soup = b(response.text, "lxml")
articles = []
r = soup.find_all('div', attrs={'class': 'BNeawe vvjwJb AP7Wnd'})
for i in range(len(r)):
articles.append(r[i].text)
urls = soup.find_all('div', attrs={'class': 'kCrYT'})
Links = []
for link in urls:
href = link.find('a')
try:
raw_website = href.get('href')
clean_web = raw_website[7:]
Links.append(clean_web)
except:
continue
newsdata = [{"articles": articles, "links": Links}]
return jsonify(newsdata)
def extract_relationships(cache, url,person_url):
"""
Extract all the relationships of the mensioned celev
"""
relationships = []
new_url = "https://www.whosdatedwho.com/dating/"+url
filename = get_url_content(new_url,cache)
soup = b(open(filename, 'r'), 'html.parser')
##grab the h4 class
status_h4 = soup.find('h4', 'ff-auto-status') #always the tag type
#grab the net sibling
key_div = status_h4.next_sibling
candidate = key_div.find_all('a')
#we need all that start with dating
relationships.extend(find_candidate(candidate, person_url))
##get all prior relationships
prev_h4 = soup.find('h4', 'ff-auto-relationships')
div_past_relationships = prev_h4.next_sibling
while div_past_relationships is not None and div_past_relationships.name=='p':
candidate = div_past_relationships.find_all('a')
relationships.extend(find_candidate(candidate, person_url))
div_past_relationships= div_past_relationships.next_sibling
return relationships
def getDeckCards(backUrl):
frontUrl = "https://www.mtggoldfish.com"
url = frontUrl + backUrl
html = urllib.request.urlopen(url).read()
soup = b(html, 'html.parser')
cards = soup.find_all('td', {'class': 'deck-col-card'})
#print(cards)
cardList = []
for card in cards:
cardList.append(card.text[1:-1])
#print('the card:',card.text)
#print(cardList)
cards = soup.find_all('td', {'class': 'deck-col-qty'})
#print(cards)
cardQty = []
for card in cards:
cardQty.append(card.text[1:-1])
#print('the card:',card.text)
#print(cardQty)
cardDic = {}
for x in range(len(cardList)):
cardDic[cardList[x]] = int(cardQty[x])
#print(cardDic)
for key, val in cardDic.items():
if key not in addCards:
addCards[key] = val
else:
addCards[key] = addCards[key] + val
def get_content(url):
'''分析网页内容'''
# 存储帖子信息的字典
comments = []
html = get_url_html(url)
soup = b(html, 'lxml')
li_tags = soup.find_all('li', class_=" j_thread_list clearfix")
for li in li_tags:
# 初始化一个字典，存储文章信息
comment = {}
# 使用try，防止爬虫出错而停止运行
try:
# 获取网页内容
comment['title'] = li.find('a', attrs={
'class': 'j_th_tit '
}).text.strip()
comment['link'] = URL + li.find('a', class_="j_th_tit ")['href']
comment['author'] = li.find('span',
attrs={
'class': 'frs-author-name-wrap'
}).text.strip()
comment['reply'] = li.find('div',
attrs={
'class':
'col2_left j_threadlist_li_left'
}).text.strip()
comments.append(comment)
except:
print("get_content,error")
return comments
def getConceptDerivedTerms(word):
searchTerm = word
link = 'http://conceptnet.io/c/en/'
link = link + searchTerm
http_pool = url.connection_from_url(link)
r = http_pool.urlopen('GET', link)
http_pool.close()
html = r.data.decode('utf-8')
soup = b(html, features="html5lib")
divs = soup.findAll("a")
div = []
candies = []
for d in divs:
if d.contents[0] == 'Derived terms':
div = d.find_parent().find_parent()
if len(div) > 0:
links = div.findAll("a")
for k in links:
candies.append(n.word_tokenize(k.contents[0]))
del (candies[0])
c = []
for k in candies:
if len(k) > 1:
counter = 0
s = ''
for j in k:
if len(j) > 2:
counter += 1
s = s + ' ' + j
if counter == len(k):
c.append(s)
elif len(k[0]) > 2:
c.append(k[0])
candies = c
c = []
for k in candies:
if not k == searchTerm:
c.append(k)
candies = c
for k in range(len(candies)):
temp = n.word_tokenize(candies[k])
if len(temp) > 1:
s = ''
for j in temp:
s = s + j + ' '
candies[k] = s
else:
candies[k] = temp[0]
return candies
def grabProxiesHttp():
site = 'https://free-proxy-list.net/'
hdr = {'User-Agent': 'Mozilla/5.0'}
req = urllib.Request(site, headers=hdr) #sending requests with headers
url = urllib.urlopen(req).read() #opening and reading the source code
html = b(url, "lxml") #structuring the source code in proper format
rows = html.findAll("tr") #finding all rows in the table if any.
proxies = []
for row in rows:
cols = row.find_all('td')
cols = [ele.text for ele in cols]
try:
ipaddr = cols[
0] #ipAddress which presents in the first element of cols list
portNum = cols[
1] #portNum which presents in the second element of cols list
proxy = ipaddr + ":" + portNum #concatinating both ip and port
portName = cols[6] #portName variable result will be yes / No
if portName == "no":
proxies.append(str(proxy))
#proxies.append(str(proxy)+":http") #if yes then it appends the proxy with https
#else:
#proxies.append(str(proxy)+":https") #if no then it appends the proxy with http
except:
pass
#for j in proxies:
# print(j)
return proxies
def main(line):
try:
line = line.split(",")[1].strip()
json = soup(url%line)
#print domain
domain_soup = b(requests.get(domain).content,"lxml").find("body").text
put(line[i].split(",")[1].strip()+ " at line " + str([i+1]), "INFO")
json_data = json.loads(domain_soup.split("process(")[1].split(")")[0])
try:
json_data = json_data[json_data.keys()[0]]['categories'].keys()
if ('401' in json_data) or ('402' in json_data):
put("ADULT!!!!!!!", "WARNING")
print "---------------------------------------------------------------------"
else:
put("SAFE FOR WORK", "SUCCESS")
file.write(line[i].split(",")[1].strip()+"\n")
print "------------------------------------------------------------------------"
except Exception as e:
put("DOES NOT CONTAIN INFO", "FAIL")
print "------------------------------------------------------------------------------------"
i += 1
def __init__(self,
day_url,
season_id,
current_day,
scraping_parameters_path='scraping/scraping_parameters.yml'):
self.season_id = season_id
self.current_day = current_day
self.scraping_parameters_path = scraping_parameters_path
self.scraping_parameters = ScrapingParameters(
self.scraping_parameters_path)
self.day_results_list = []
# Access the current day data, using current day url
day_http_request = requests.get(day_url)
day_page = day_http_request.content
day_soup = b(day_page, 'html.parser')
day_container = day_soup.select('div.day-results-table')
for html_match_info in day_container[0].select('tr.info-line.after'):
current_match = Match(html_match_info, self.season_id,
self.current_day)
self.day_results_list.append(current_match.match_results)
# for match_info in day_container[0].select('tr.info-line.after.table-hr'):
# current_match = Match(match_info, season_id, current_day)
# self.day_results.append(current_match.match_results)
self.day_results = pd.DataFrame(
self.day_results_list,
columns=self.scraping_parameters.saison_cols)
def __init__(self,
url,
scraping_parameters_path='scraping/scraping_parameters.yml'):
self.scraping_parameters_path = scraping_parameters_path
self.scraping_parameters = ScrapingParameters(
self.scraping_parameters_path)
self.season_results = pd.DataFrame(
columns=self.scraping_parameters.saison_cols)
self.days = {}
self.season_id = None
# Access the current season data, using current season url
season_http_request = requests.get(url)
season_page = season_http_request.content
self.season_soup = b(season_page, 'html.parser')
# Get the urls to the different Days of the current season (stored in a dictionary) \
# and the identification of the current season.
self.season_id, self.days = self.get_days_url()
for day in self.days:
current_day = Day(
self.scraping_parameters.fixe + self.days[day],
self.season_id,
day,
self.scraping_parameters_path,
)
self.season_results = self.season_results.append(
current_day.day_results)
def houseofbots(s):
s.text.delete("1.0", tkinter.END)
s.enter_webno.delete(0, tkinter.END)
try:
s.p = requests.get("https://www.houseofbots.com").text
s.soup = b(s.p, features="html.parser")
except:
messagebox.showinfo(
"ERROR", "Plse Make Sure You Have Internet Connection ")
length = 1
s.heading1 = []
s.link2 = []
s.text.insert(tkinter.INSERT,
"\t\tThe contents in house of bots are \n \n".upper())
for i in s.soup.find_all("li"):
if i.find("h4") != None:
s.heading1.append(i.find("h4").text)
s.text.insert(tkinter.INSERT,
str(length) + "." + i.find("h4").text + "\n\n")
s.link2.append(i.find("a").get("href"))
length += 1
s.sumbit_button = tkinter.Button(s.root,
text="Open",
command=lambda: s.dispaly(s.link2),
fg="red",
relief="sunken")
s.sumbit_button.place(x=300, y=620, height=20, width=70)
def get_content_from_images(html):
content = ''
soup = b(html)
text_class = soup.find_all('div', {'class': 'rc'})
for text in text_class:
content = content + text.text
return content
def get_content(u,response):
if 'https://twitter.com' in u:
# url other than image
# getting content
#print("-----------------------twitter status---------------------------")
html = response.text
soup = b(html)
if ('i/moments' in u):
text = ''
moments_text = soup.find('div', {'class': 'MomentCapsuleCover-details'})
if moments_text:
text = moments_text.text
else:
tweet_status_text = soup.find_all('p', {
'class': 'TweetTextSize TweetTextSize--jumbo js-tweet-text tweet-text'})
tweet_text = ''
for txt in tweet_status_text:
if txt:
tweet_text = tweet_text + txt.text
text = tweet_text
else:
#print('------------------------other content--------------------------')
html = response.text
text = get_content_from_urls(html)
return text
def get_followers(self):
time.sleep(2)
flw_btn = WebDriverWait(self.driver, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR,
"#react-root > section > main > div > header > section > ul > li:nth-child(2) > a")))
flw_btn.click()
time.sleep(3)
self.popup = WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located((By.XPATH, "/html/body/div[4]/div/div/div[2]")))
for h in range(11):
time.sleep(1)
print('scrolling')
print(h)
print('arguments[0].scrollTop = arguments[0].scrollHeight/{}'.format(str(11 - h)))
self.driver.execute_script('arguments[0].scrollTop = arguments[0].scrollHeight/{}'.format(str(11 - h)),
self.popup)
if h == 5:
break
for i in range(40):
time.sleep(2)
self.driver.execute_script('arguments[0].scrollTop = arguments[0].scrollHeight', self.popup)
self.popup = WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located((By.XPATH, "/html/body/div[4]/div/div/div[2]")))
b_popup = b(self.popup.get_attribute('innerHTML'), 'html.parser')
for p in b_popup.findAll('li', {'class': 'wo9IH'}):
try:
hlink = p.find_all('a')[0]['href']
print(hlink)
if 'div' in hlink:
print('div found not adding to list')
else:
self.hrefs.append(hlink)
except:
pass
return self.hrefs
def cnt(self):
with open(self.path) as f2:
sp = b(f2, 'html.parser')
text = sp.get_text().lower()
print 'Enter "no" to exit'
while True:
w = raw_input('ENTER THE WORD WANT TO SEARCH IN THE FILE\n')
if w != 'no':
cnt = text.count(w)
print '"%s occured %d times in the file"' % (w, cnt)
self.lst.append(w)
continue
else:
print 'want to see your searches'
res = raw_input()
if res != 'no':
c = Counter(self.lst)
print 'Top 5 words searched by you are '
for i, j in c.most_common(5):
print '"%s"::"%d"times' % (i, j)
with open('data.csv', 'ab') as d:
self.header = ['words,date,time']
dt = csv.writer(d, delimiter=' ')
if self.empty == 0:
dt.writerow(self.header)
for i in self.lst:
dt.writerow([i + ',', self.d, self.t])
break
def __init__(self, fixed_url, season_id, current_day, season_url, day_url):
self.season_url = season_url
self.day_url = day_url
self.complete_day_url = fixed_url + day_url
self.season_id = season_id
self.current_day = current_day
self.day_results = pd.DataFrame(columns=MATCHES_RESULTS_COLS)
# Access the current day raw_data, using current day url
day_http_request = requests.get(self.complete_day_url)
day_page = day_http_request.content
day_soup = b(day_page, 'html.parser')
day_container = day_soup.select('div.day-results-table')
for html_match_info in day_container[0].select('tr.info-line.after'):
current_match = Match(html_match_info, self.season_id,
self.current_day, self.season_url,
self.day_url)
self.day_results = self.day_results.append(
current_match.match_results)
del current_match
self.day_results.drop_duplicates(
inplace=True,
subset=['season_id', 'season_day', 'team_dom'],
keep='last')
def liked_post(self):
#If this returns tue then is is most likely an account with 0 posts
try:
p_text = WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located((
By.CSS_SELECTOR,
'#react-root > section > main > div > header > section > ul > li:nth-child(1) > span'
)))
if p_text == '0':
return False
else:
return True
except:
return True
post = self.driver.find_element_by_css_selector(
'#react-root > section > main > div > div._2z6nI > article > div > div > div:nth-child(1) > div:nth-child(1)'
)
html = post.get_attribute('innerHTML')
h = b(html, 'html.parser')
href = h.a['href']
self.driver.get('https://www.instagram.com' + href)
like_btn = WebDriverWait(self.driver, 10).until(
EC.presence_of_element_located((
By.CSS_SELECTOR,
'#react-root > section > main > div > div.ltEKP > article > div.eo2As > section.ltpMr.Slqrh > span.fr66n > button > div'
)))
like_btn.click()
def waterdebt(request):
c = {}
l = []
# c['error'] = "Zəhmət olmasa ilk öncə formu doldurub sonra borcu öyrən butonuna basın."
abkodu = request.POST.get('abkodu')
if abkodu:
api = "https://opendata.e-gov.az/api/v1/json/azersu/DebtInfo/{}".format(
abkodu)
data = requests.get(api)
d_d = json.loads(data.text)
b_d = d_d['Response']['HtmlField']
soup = b(b_d, 'html.parser')
if len(soup.find_all('b')) == 0:
c['error'] = """Abonent kodu ya yanlışdır ya da boş buraxılıb.
Zəhmət olmasa kodunuzu yoxlayın və yenidən yazın"""
else:
for a in soup.find_all('b'):
l.append(re.sub(r"[<b>,</b>]", "", str(a)))
c['result'] = True
c['code'] = "Abonent kodu: " + l[1]
c['name'] = "Ad: " + l[3]
c['debt'] = "Borc: " + l[5] + " AZN"
return render(request, test, c)
def get_content(url):
comments = []
html = get_html(url)
soup = b(html, 'lxml')
liTags = soup.find_all('li', attrs={'class': 'j_thread_list clearfix'})
for li in liTags:
comment = {}
try:
comment['title'] = li.find('a', attrs={
'class': 'j_th_tit'
}).text.strip()
comment['link'] = li.find('a', attrs={'class': 'j_th_tit'})['href']
comment['name'] = li.find('span',
{'class': 'tb_icon_author'})['title']
comment['time'] = li.find('span', {
'class': "pull-right is_show_create_time"
}).text.strip()
comment['replyNum'] = li.find(
'span', {
'class': "threadlist_rep_num center_text"
}).text.strip()
comments.append(comment)
print('complete ' + comment["link"])
except:
print("Error")
return comments
def get_top_machts():
html = ur('http://football.kulichki.net/')
bs = b(html.read())
div = bs.find('div', {"class": 'col2 inl vtop'}).center.table
tr_list = div.find_all('tr')
result = ''
for item in tr_list[1:]:
if item.find('span') is not None:
flag = plus_flag(item.find('span').text)
plus_flag(flag)
result = result + flag + '\n'
else:
a = item.find('p', {"align": "left"}).text
a = a.replace('\n', '')
a = a.replace(' ', ' ')
matchtime = a[1:a.index('.')]
timeplus = (int(matchtime[:2]) + 2) % 24
timeplus = str(timeplus)
if len(timeplus) == 1:
timeplus = '0' + timeplus
matchname = a[a.index('.') + 2:a.rindex('-')]
result = result + '*' + timeplus + matchtime[
2:] + '* _' + matchname + '_\n'
return result
def __init__(self, fixed_url, season_id, season_url, day_url, day):
# self.season_url = season_url
self.day_url = day_url
self.complete_day_url = fixed_url + day_url
self.season_id = season_id
self.season_url = season_url
self.current_day = day
self.day_ranking = pd.DataFrame(columns=RANKING_COLS)
# Access the current day raw_data, using current day url
day_http_request = requests.get(self.complete_day_url)
day_page = day_http_request.content
self.day_soup = b(day_page, features="lxml")
# there are 14 teams
for team in range(14):
current_team = Team(self.season_id,
self.current_day,
self.season_url,
self.day_url,
self.day_soup,
team=team)
self.day_ranking = self.day_ranking.append(
current_team.team_attributes_list)
del current_team
self.day_ranking.drop_duplicates(inplace=True,
subset=['season', 'day', 'equipe'],
keep='last')
def news(grabyear, grabcountry):
Country = grabcountry
Before = grabyear
url = f"https://www.worldbank.org/en/search?q=global+warming+{Country}+{grabyear}¤tTab=1"
print(url)
response = requests.get(url)
soup = b(response.text, "lxml")
titles = []
links = []
descriptions = []
titles_html = soup.find_all(
'h4', attrs={'class': 'list-group-item-heading result-header'})
links_html = soup.find_all(
'p', attrs={'class': 'list-group-item-text result-link'})
descriptions_html = soup.find_all(
'p', attrs={'class': 'list-group-item-text result-description'})
# print(titles[0].text)
# print(links[0].text)
# print(descriptions[0].text)
for i in range(len(titles_html)):
titles.append(titles_html[i].text)
links.append(links_html[i].text)
descriptions.append(descriptions_html[i].text)
newsdata = [{
"articles": titles,
"links": links,
"descriptions": descriptions
}]
return jsonify(newsdata)
def clg_details():
if request.method == 'POST':
text = request.form['mail']
text = text.split("@")
query = text[1].split(".")[0] + " college"
print(query)
url = []
#query = "cit college"
if (query == "sona college"):
print("SCT|SONA COLLEGE OF TECHNOLOGY IN SALEM,TAMILNADU")
else:
for j in search(query, tld="co.in", num=2, stop=2, pause=2):
url.append(j)
for i in url:
html = requests.get(i)
soup = b(html.content, "html.parser")
r = soup.find("title")
print(r.text)
for q in [
'Technology', 'University', 'Institutions', 'College',
'Engineering'
]:
if q in r.text:
return render_template("index.html", data=r.text)
return render_template("index.html",
data="No such college was found")
def cnt(path,p):
with open (path) as f2:
sp = b(f2,'html.parser')
text = sp.get_text().lower()
print 'Enter "no" to exit'
while True:
w = raw_input('ENTER THE WORD WANT TO SEARCH IN THE FILE\n')
if w!='no':
cnt = text.count(w)
print '"%s occured %d times in the file"'%(w,cnt)
lst.append(w)
arr.append([w,d,t])
continue
else:
print 'want to see your searches'
res = raw_input()
if res !='no':
c = Counter(lst)
print 'Top 5 words searched by you are '
for i,j in c.most_common(5):
print '"%s"::"%d"times'%(i,j)
hdr = ['words','date','time']
sve(p,hdr,arr)
break
def hackernews(s):
#cleaning the dispaly
s.text.delete("1.0", tkinter.END)
s.enter_webno.delete(0, tkinter.END)
try:
s.p = requests.get("https://thehackernews.com").text
s.soup = b(s.p, features="html.parser")
except:
messagebox.showinfo(
"ERROR", "Plse Make Sure You Have Internet Connection ")
length = 1
s.heading1 = []
s.link4 = []
s.text.insert(tkinter.INSERT,
"\t\tThe contents in hacker news are\n \n".upper())
for i in s.soup.find_all("h2"):
s.text.insert(tkinter.INSERT, str(length) + "." + i.text + "\n\n")
s.heading1.append(i.text)
length += 1
length = 0
for i in s.soup.find_all("a", class_='story-link'):
s.link4.append(i.get("href"))
length += 1
s.sumbit_button = tkinter.Button(s.root,
text="Open",
command=lambda: s.dispaly(s.link4),
fg="red",
relief="sunken")
s.sumbit_button.place(x=300, y=620, height=20, width=70)
def main(line):
try:
tags = soup(b(requests.get((url+line).strip()).content,"lxml"),line)
dic ={}
dic[line.strip()] = tags
put(dic,"SUCCESS")
keyword.insert(dic, check_keys=False)
put(line.strip()+" added to MongoClient","ENDC")
except Exception as e:
put(e,"FAIL")
import requests
import re
from bs4 import BeautifulSoup as b
file=open("shutterstock.txt",'a')
url="http://www.shutterstock.com/cat.mhtml?autocomplete_id=&language=en&lang=en&search_source=&safesearch=1&version=llv1&searchterm=&media_type=images"
soup=b(requests.get(url).content)
soup=soup.find("div",{"class":"secondary_links clearfix"})
ul=soup.findAll("ul")
for per_ul in ul:
li=per_ul.findAll('li')
for per_li in li:
category=per_li.find('a').text
category_link="http://www.shutterstock.com"+per_li.find('a').get('href')
file.write(str(category)+'\n')
#print category_link
file.write(str(category_link)+'\n')
category_soup=b(requests.get(category_link).content)
category_soup=str(category_soup.find("div",{"class":"grid_pager"}).findAll("span")[1])
page=1
total=int(re.sub(r'[^\d+]',"",category_soup))
while (page!=total):
print category+(" page ")+str(page)+" of "+str(total)
category_page=category_link+"?page=%d&thumb_size=mosaic"%page
category_page=b(requests.get(category_page).content)
image=category_page.findAll("span",{"class":"gc_clip"})
#file.write(str(page)+'\n')
if (type(image) is list):
break
for per_image in image:
link= per_image.find('img').get('src')
#print link
import requests
from bs4 import BeautifulSoup as b
i=1
dic={}
while True:
soup = b(requests.get("http://www.national-football-teams.com/club/"+str(i)+"/2015_1/Real_Madrid.html").content,"lxml")
club = soup.findAll("div",{"class":"span6"})[2].find('h1')
if club:
if club.find('small'):
club.find('small').replaceWith('')
# print club.text.encode('ascii','ignore')
dic.update({club.text.encode('ascii','ignore'):i})
print dic
i+=1
import MySQLdb
db = MySQLdb.connect("localhost","root","root","TESTDB")
cursor = db.cursor()
import re
import requests
from bs4 import BeautifulSoup as b
url="http://www.shutterstock.com/cat.mhtml?autocomplete_id=&language=en&lang=en&search_source=&safesearch=1&version=llv1&searchterm=&media_type=images"
page_categories=[]
soup=b(requests.get(url).content)
soup=soup.find('div',{"class":"secondary_links clearfix"}).findAll("ul")
for per_ul in soup:
li=per_ul.findAll("li")
for per_li in li:
page_categories.append(str(per_li.text))
file = open('shutterstock.txt', 'r')
i=0
x=file.readlines()
while(i<len(x)):
#category
if x[i].replace("\n","") in page_categories:
a= str(x[i].replace("\n","").replace("\"",""))
i+=1
#category link
elif re.search(r"http.*.html",x[i]):
b= str(x[i].replace("\n","").replace("\"",""))
i+=1
#link
elif re.search(r"http.*.jpg",x[i]):
from bs4 import BeautifulSoup as b
import requests
import json
file = open('nation_data.txt','a')
i = 1
dic = {}
DIC={}
l = ["country",'id']
while True:
country = b(requests.get("http://www.national-football-teams.com/country/"+str(i)+"/2015/Italy.html").content,"lxml").findAll("div",{"class":"span6"})[2].find('h1')
if country:
if country.find('small'):
country.find('small').replaceWith ('')
dic.update({country.text.encode('utf-8'):i})
print dic
i+=1
else:
print 546666666666666666666666666666666666666665
break
json.dump(dic,file)
# file=open("dances_test.txt","a") #todo
import requests
from bs4 import BeautifulSoup as b
import re
dic = {}
url = "https://en.wikipedia.org/wiki/List_of_dances"
uls = b(requests.get(url).content).find("div", {"id": "mw-content-text"}).findAll("ul")
for i in range(2, 47):
# print uls[46] #(2-47)
lis = uls[i].findAll("li")
for per_li in lis:
try:
display_order = ["Dance_name", "Dance_desc", "Dance_link"]
dance_name = per_li.find("a").get("title").encode("utf-8")
if "(page does not exist)" in str(dance_name):
continue
else:
dic["Dance_name"] = " " + dance_name + " "
# print dance_name
# else:
# file.write(dance_name.encode('utf-8'))
# try:
dance_link = "https://en.wikipedia.org" + per_li.find("a").get("href")
dic["Dance_link"] = " " + dance_link + " "
# file.write(dance_link.encode('utf-8'))
# print dance_link
import requests
from bs4 import BeautifulSoup as b
main_page=1
file=open("archive.txt","a")
while True:
web="https://archive.org/details/image?&sort=-downloads&page=%d"%main_page
soup=b(requests.get(web).content)
soup=soup.findAll("div",{"class":"collection-title C C2"})
main_page+=1
for category in soup:
category_link=category.find('a').get('href')
category_name=(category.find('a').find('div').text).encode('utf-8')
file.write(str(category_name)+'\n')
file.write(str( "https://archive.org"+category_link)+'\n')
print category_name
category_page=1
while True:
cat="https://archive.org"+category_link+"?&sort=-downloads&page=%d"%category_page
cat_soup=b(requests.get(cat).content)
cat_soup=cat_soup.findAll('div',{"class":"ttl C C2"})
category_page+=1
cat_soup=cat_soup[1:]
if len(cat_soup)==0:
break
for img in cat_soup:
link=img.find('a').get('href')
desc=(img.find('a').text).encode('utf-8')
file.write(str(desc)+'\n')
file.write(str( "https://archive.org"+link)+'\n')
print category_page-1
import requests
from bs4 import BeautifulSoup as b
import MySQLdb
db = MySQLdb.connect("localhost","root","root","TESTDB")
cursor = db.cursor()
url="http://www.bigstockphoto.com/"
#### getting inside website ####
soup=b(requests.get(url).content,"lxml")
###finding all category links
categories=soup.findAll("div",{"class":"row-fluid"})[4].findAll("a")
####picking one category at a time
for per_category in categories:
cat="http://www.bigstockphoto.com"+str(per_category.get('href'))
category_name = per_category.text
print category_name
####just for the lulz
cat = cat.split("category/")[0]+"?category="+cat.split("category/")[1][:-1]
cat = cat.split("?")[0]+"?start=0&"+cat.split("?")[1]
print cat ##category link
####initialising page from 0
page = 0
#####iterating over page of category
def soup(website):
soup = b(requests.get(website).content,"lxml").find("pre")
return soup
import requests
import re
#from pymongo import MongoClient
#cl = MongoClient()
#coll = cl["local"]["test2"]
from bs4 import BeautifulSoup as b
url="http://www.differencebetween.net/"
display_order = ["Title1","Title2","TitleLink","Description"]
dic={}
###getting all categories####
cats=b(requests.get(url).content).find("div",{"id":"featured-cats"}).findAll("h5")
for per_cat in cats:
###getting links category wise
cat_link = per_cat.find('a').get('href')
# print cat_link
###getting page numbers if exists
try:
pages=b(requests.get(cat_link).content).find("span",{"class":"pages"}).text
pages = re.findall(r'.[\d]',pages)
pages= int(pages.pop().strip())
except Exception as e:
print e
for curr_page in range(1,pages+1):
cat_soup = cat_link+"page/%d/"%curr_page
print "*************************************************************************************************************"
print cat_soup
import json
file = '/home/varun/Desktop/lets-football/crawler/nation_data.txt'
dic=json.load(open(file))
print "Enter country"
print id
url = "http://www.national-football-teams.com/country/"+str(dic[raw_input()])+"/2015/Italy.html"
import requests
from bs4 import BeautifulSoup as b
#url = "http://www.national-football-teams.com/country/"+str(174)+"/2015/Italy.html"
soup = b(requests.get(url).content,"lxml")
club= []
table= soup.find("table",{"class":"sortable"}).find('tbody').findAll('tr')
for per_tr in table:
td = per_tr.findAll('td')
for i in range(5):
if i==3:
continue
print td[i].text.strip()
club.append(td[4].text.strip().encode('ascii', 'ignore'))
print '---------------------------'
total_clubs = len(club)
dic={x:club.count(x) for x in club}
#print dic
print "Below are the team club stats in percent"
for i in dic:
print i+" \t\t\t| %.3f"%((100.000*dic[i])/total_clubs)+"\t\t|"+str(dic[i])
