一个比较简单国外设计站点,作品信息采集爬虫源码,比较简单,采集的内容包括标题、内容及图片信息,适合新人学习参考使用。
网站作品信息采集中,关于图片的采集下载使用了重试以及多线程的方式爬取采集下载,适合 Python 爬虫新人练手使用和学习,如果你正在找练手网站,不妨尝试爬取下载数据。
三次重试
考虑到外网及数据完整性,这里采用了三次重试的机制,请求访问,确保访问不会因超时而缺少请求数据。
# 3次重试
def get_resp(url):
i = 0
while i < 4:
try:
headers = {
"User-Agent":get_ua()
}
response = requests.get(url, headers=headers, timeout=10)
print(response.status_code)
return response
except requests.exceptions.RequestException:
i += 1
print(f">> 获取网页出错,6S后将重试获取第:{i} 次")
time.sleep(i * 2)
多线程下载图片
简单的应用了多线程下载图片,代码拿来即可用,非常简单而且好用。
def down_imgs(path,imgs):
threadings = []
for img in imgs:
t = threading.Thread(target=get_img, args=(path,img))
threadings.append(t)
t.start()
for x in threadings:
x.join()
print(f"恭喜,多线程下载图片完成!")
附上完整源码仅供参考学习:
# -*- coding: UTF-8 -*-
# bmwgroupdesignworks @公众号:eryeji
# https://www.bmwgroupdesignworks.com/work/
import requests
from lxml import etree
import time
import random
import re
import threading
import os
def get_ua():
ua_list = [
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/14.0.835.163 Safari/535.1',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.103 Safari/537.36Chrome 17.0',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:6.0) Gecko/20100101 Firefox/6.0Firefox 4.0.1',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0.1) Gecko/20100101 Firefox/4.0.1',
'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50',
'Opera/9.80 (Windows NT 6.1; U; en) Presto/2.8.131 Version/11.11',
]
ua=random.choice(ua_list)
return ua
def get_hrefs():
url='https://www.bmwgroupdesignworks.com/work/'
headers={
"User-Agent":get_ua()
}
response=requests.get(url=url,headers=headers,timeout=6)
print(response.status_code)
html=response.content.decode('utf-8')
print(html)
tree=etree.HTML(html)
hrefs=tree.xpath('//article[@class="project-item"]/a/@href')
print(len(hrefs))
print(hrefs)
for href in hrefs:
get_detail(href)
time.sleep(3)
def get_detail(href):
headers = {
"User-Agent": get_ua()
}
response = requests.get(url=href, headers=headers, timeout=6)
print(response.status_code)
html = response.content.decode('utf-8')
#print(html)
tree = etree.HTML(html)
h1s=tree.xpath('//h1//text()')
h1=' '.join(h1s)
pattern = r"[\/\\\:\*\?\"\<\>\|]"
h1=re.sub(pattern, "_", h1) # 替换为下划线
print(h1)
path = f'{h1}/'
os.makedirs(path, exist_ok=True)
print(f">> 生成保存目录 {h1} 文件夹成功!")
ptexts=tree.xpath('//section[@class="dw-text-small"]//text()')
ptext='\n'.join(ptexts)
print(ptext)
with open(f'{path}{h1}.txt','w',encoding='utf-8') as f:
f.write(f'{h1}\n{ptext}')
print(f">> 保存 {h1}.txt 文件成功!")
imgs=tree.xpath('//main[@role="main"]//img/@src')
print(len(imgs))
print(imgs)
down_imgs(path, imgs)
# 3次重试
def get_resp(url):
i = 0
while i < 4:
try:
headers = {
"User-Agent":get_ua()
}
response = requests.get(url, headers=headers, timeout=10)
print(response.status_code)
return response
except requests.exceptions.RequestException:
i += 1
print(f">> 获取网页出错,6S后将重试获取第:{i} 次")
time.sleep(i * 2)
def down_imgs(path,imgs):
threadings = []
for img in imgs:
t = threading.Thread(target=get_img, args=(path,img))
threadings.append(t)
t.start()
for x in threadings:
x.join()
print(f"恭喜,多线程下载图片完成!")
#下载图片
def get_img(path,img_url):
img_name = img_url.split('/')[-1]
r = get_resp(img_url)
time.sleep(1)
with open(f'{path}{img_name}', 'wb')as f:
f.write(r.content)
print(f">> {img_name}下载图片成功")
def main():
get_hrefs()
if __name__=='__main__':
main()
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标签:imgs,img,get,爬虫,headers,源码,print,多线程,response From: https://blog.51cto.com/u_15200177/9065842