Python crawler -- crawling the picture of fried egg Web

The struggling rabbit of florist 2020-11-13 15:08:15
python crawler crawling picture fried

Make a statement in advance : I haven't heard of any fried egg net before , Code learning comes from other websites , For learning purposes only .

import requests
import os
import time
from bs4 import BeautifulSoup
# Request for HTML Source code
def get_html(url):
# Specify a browser header
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
# agent , A free agent can only last for a while and may not work , Replace it by yourself
proxies = {'http': ''}
# Requests Library get request
resp = requests.get(url, headers=headers)
# If the request is blocked , Use agent
resp = requests.get(url, headers=headers, proxies=proxies)
return resp
# Function to create a folder , Save to D disc
def mkdir(path):
# os.path.exists(name) Determine if there is a path
# os.path.join(path, name) Connect directory and filename
isExists = os.path.exists(os.path.join("D:\jiandan", path))
# If it doesn't exist
if not isExists:
print('makedir', path)
# Create folder
os.makedirs(os.path.join("D:\jiandan", path))
# Switch to the created folder
os.chdir(os.path.join("D:\jiandan", path))
return True
# If it exists, return to False
print(path, 'already exists')
return False
# Get image address call download Function to download
def get_imges():
# Call the function to get all the pages
for url in all_page():
path = url.split('-')[-1]
# Function to create a folder
# Call the request function to get HTML Source code
html = get_html(url).text
# Use lxml Parser , You can also use html.parser
soup = BeautifulSoup(html, 'lxml')
# css Selectors
allimgs ='div.text > p > img')
# call download Function download save
# After the execution, type ok
# Get all the pages
def all_page():
base_url = ''
# BeautifulSoup Parse the page to get the maximum number of pages
soup = BeautifulSoup(get_html(base_url).text, 'lxml')
# Get the maximum number of pages
allpage = soup.find('span', class_="current-comment-page").get_text()[1:-1]
urllist = []
# for Loop through all pages , obtain url
for page in range(1, int(allpage) + 1):
allurl = base_url + 'page-' + str(page)
return urllist
# Save picture function , The parameter passed in is all the pictures on a page url aggregate
def download(list):
for img in list:
urls = img['src']
# Judge url Is it complete
if urls[0:5] == 'http:':
img_url = urls
img_url = 'http:' + urls
filename = img_url.split('/')[-1]
# Save the picture
with open(filename, 'wb') as f:
# Filter out the failed images directly , Do not terminate the program
print('Sucessful image:', filename)
print('Failed:', filename)
if __name__ == '__main__':
# timing
t1 = time.time()
# Call function
print(time.time() - t1)

Through code like , We can do it in D Disk to create a directory and save relevant pictures .

Personal test , The code is correct .

( however , The fried egg net encrypts the picture , therefore , The above code can't download too many pictures )

Reference resources :

Participation of this paper Tencent cloud media sharing plan , You are welcome to join us , share .

本文为[The struggling rabbit of florist]所创,转载请带上原文链接,感谢

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