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Python使用bs4爬虫知乎图片教程源码

来源:中文源码网    浏览:261 次    日期:2024-03-24 09:13:37
【下载文档:  Python使用bs4爬虫知乎图片教程源码.txt 】


Python使用bs4爬虫知乎图片教程源码
# -*- coding=utf-8 -*-import requests as reqfrom bs4 import BeautifulSoupfrom PIL import Imagefrom io import BytesIOimport osfrom skimage import iourl = "http://www.zhihu.com/question/37787176"headers = {'User-Agent' : 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.96 Mobile Safari/537.36'}response = req.get(url,headers=headers)content = str(response.content)#print contentsoup = BeautifulSoup(content,'lxml')images = soup.find_all('img')print u"共有%d张图片" % len(images)if not os.path.exists("images"): os.mkdir("images")for i in range(len(images)): img = images[i] print u"正在处理第%d张图片..." % (i+1) img_src = img.get('src') if img_src.startswith("http"): ## use PIL ''' print img_src response = req.get(img_src,headers=headers) image = Image.open(BytesIO(response.content)) w,h = image.size print w,h img_path = "images/" + str(i+1) + ".jpg" if w>=500 and h>500: #image.show() image.save(img_path) ''' ## use OpenCV import numpy as np import urllib import cv2 resp = urllib.urlopen(img_src) image = np.asarray(bytearray(resp.read()), dtype="uint8") image = cv2.imdecode(image, cv2.IMREAD_COLOR) w,h = image.shape[:2] print w,h img_path = "images/" + str(i+1) + ".jpg" if w>=400 and h>400: cv2.imshow("Image", image) cv2.waitKey(3000) ##cv2.imwrite(img_path,image) ## use skimage ## image = io.imread(img_src) ## w,h = image.shape[:2] ## print w,h #io.imshow(image) #io.show() ## img_path = "images/" + str(i+1) + ".jpg" ## if w>=500 and h>500: ## image.show() ## image.save(img_path) ## io.imsave(img_path,image)print u"处理完成!"这里给出了多种选择,供参考。

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