num = people[0]
num = int(num) / 20
if num < 6:
num = int(num)
else:
num = 5
for j in range(1, num + 1):
# 전체월드 랭킹
driver.get('https://maple.gg/rank/dojang?page=' + str(j))
url = 'https://maple.gg/rank/dojang?page=' + str(j)
fp = urllib.request.urlopen(url)
source = fp.read()
fp.close()
soup = BeautifulSoup(source, 'html.parser')
soup = soup.findAll("div", class_="d-inline-block mr-2 align-middle")
imgURL = []
imageNum = 0
for i in soup:
imgURL.append(i.find("img")["src"])
soup = BeautifulSoup(source, 'html.parser')
soup = soup.findAll("div", class_="d-inline-block align-middle")
imgURL_1 = []
imageNum = 0
for i in soup:
imgURL_1.append(i.find("img")["src"])
for i in range(1, 21):
import requests
import soup as soup
from bs4 import BeautifulSoup
headers = {
'User-Agent':
'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36'
}
site = 'https://currency.com/crypto'
full_page = requests.get(site, headers=headers)
soup = BeautifulSoup(full_page.content, 'html.parser')
convert0 = soup.findAll("span", {"class": "table-instruments__description"})
convert = soup.findAll("span", {"class": "name"})
convert1 = soup.findAll("span", {"class": "name"})
convert4 = soup.findAll("span",
{"class": "table-instruments__price negative-price"})
convert5 = soup.findAll("th", {"class": "Name"})
print(convert1, convert, convert0, convert4, convert5)
from bs4 import BeautifulSoup
import csv
response = requests.get("https://coursehunter.net/frontend/javascript")
soup = BeautifulSoup(response.text, "html.parser")
#articles = soup.find_all("article")
#print(articles)
# for article in articles:
# print(soup.body.div)
#d = (soup.find(class_="course-figure"))
#d = soup.find_all("picture", class_="course-figure")
#d = soup.select(".course-figure")
d = soup.find_all("picture", {"class": "course-figure", "data-link": True})
for d in soup.findAll(attrs={"class": "course-figure"}):
print(d["data-link"])
#d = soup.find_all(attrs={"data-link":True})
# d= soup.find_all('course-figure').get('data-link')
#print(d)
"""m = []
m = d.copy()
single = list(map(str, m))
print(single)"""
from os import makedirs
import request
import soup
# website with pictures of carpets
from pygments.formatters import img
url = "https://www.pexels.com/search/fancy%20carpets%2F%5E/"
# download page for parsing
page = request.get(url)
soup = bs(pag.text, 'html.parser')
# locate all elements with image tag
image_tags = soup.findAll('img')
# create directory for carpet images
if not os.path.exist('carpets'):
os.makedirs('carpets')
# move to new directory
os.chdir('carpets')
# image file name variable
x = 0
# writing images
for image in image_tags:
try: