Skip to content

优化效率，加入线程 #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
hackxhao merged 1 commit into from
Dec 25, 2018
Merged

优化效率，加入线程 #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
25 changes: 14 additions & 11 deletions python爬虫系列/爬取斗图啦表情包.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,32 +6,35 @@
import bs4
import requests
import time
from multiprocessing.dummy import Pool as ThreadPool


def getImg():

def getImg(url):

header = {
'Accept': "*/*",
'Accept-Language': "zh-CN,zh;q=0.9",
'Connection': "keep-alive",
'User-Agent': "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.79 Safari/537.36"
}

urls = [
"http://www.doutula.com/photo/list/?page={}".format(str(i)) for i in range(1, 3)]

downPath = r"F:\pythonReptile\images"

for url in urls:
response = requests.get(url, headers=header, timeout=30)
#print(response.headers)
soup = BeautifulSoup(response.text, 'html.parser')
datas = soup.find_all(
name="img", attrs={"class": "img-responsive lazy image_dta"})
response = requests.get(url, headers=header, timeout=30)
#print(response.headers)
soup = BeautifulSoup(response.text, 'html.parser')
datas = soup.find_all(
name="img", attrs={"class": "img-responsive lazy image_dta"})
for data in datas:
print("downloading:", data.attrs['data-original'])
request.urlretrieve(
data.attrs['data-original'], downPath+'\%s.jpg' % time.time())

if __name__ == '__main__':
getImg()
pool = ThreadPool(8)
urls = [
"http://www.doutula.com/photo/list/?page={}".format(str(i)) for i in range(1, 3)]
pool.map(getImg, urls)
pool.close()
pool.join()