赞
踩
选取一个网站,最好是教育网站,因为教育网站很少有反爬虫机制。
在网站内打开开发者工具,不同的浏览器开发者工具也不同,但都大同小异(这里使用的是谷歌)。
在开发者工具中确定你要爬虫的部分,找到我们爬取数据所需要的URL。同时,你也可以找到你访问这个网站时的请求,可以使用自己的请求头。
前期工作有很多,但也简单,这里就不多赘述了。
安装模块方法
pip install + 模块名字
import requests
import re
from lxml import etree
import json
import random
定义多个请求头,爬虫时随机选取一个(防止请求头被屏蔽导致爬虫失败)
这里的多个请求来自于
问题解决:如何获取京东页面请求到的json中的商品数据(爬虫请求json,提取数据)
#反爬虫 def get(url): proxy_list = [ {"http" or "https": "112.115.57.20:3128"}, {"http" or "https": '121.41.171.223:3128'}, ] user_agent = [ "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", "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0", "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; .NET4.0C; .NET4.0E; .NET CLR 2.0.50727; .NET CLR 3.0.30729; .NET CLR 3.5.30729; InfoPath.3; rv:11.0) like Gecko", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)", "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0)", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0.1) Gecko/20100101 Firefox/4.0.1", "Mozilla/5.0 (Windows NT 6.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1", "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; en) Presto/2.8.131 Version/11.11", "Opera/9.80 (Windows NT 6.1; U; en) Presto/2.8.131 Version/11.11", "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/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Maxthon 2.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; TencentTraveler 4.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; The World)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Avant Browser)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)", "Mozilla/5.0 (iPhone; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5", "Mozilla/5.0 (iPod; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5", "Mozilla/5.0 (iPad; U; CPU OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5", "Mozilla/5.0 (Linux; U; Android 2.3.7; en-us; Nexus One Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "MQQBrowser/26 Mozilla/5.0 (Linux; U; Android 2.3.7; zh-cn; MB200 Build/GRJ22; CyanogenMod-7) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Opera/9.80 (Android 2.3.4; Linux; Opera Mobi/build-1107180945; U; en-GB) Presto/2.8.149 Version/11.10", "Mozilla/5.0 (Linux; U; Android 3.0; en-us; Xoom Build/HRI39) AppleWebKit/534.13 (KHTML, like Gecko) Version/4.0 Safari/534.13", "Mozilla/5.0 (BlackBerry; U; BlackBerry 9800; en) AppleWebKit/534.1+ (KHTML, like Gecko) Version/6.0.0.337 Mobile Safari/534.1+", "Mozilla/5.0 (hp-tablet; Linux; hpwOS/3.0.0; U; en-US) AppleWebKit/534.6 (KHTML, like Gecko) wOSBrowser/233.70 Safari/534.6 TouchPad/1.0", "Mozilla/5.0 (SymbianOS/9.4; Series60/5.0 NokiaN97-1/20.0.019; Profile/MIDP-2.1 Configuration/CLDC-1.1) AppleWebKit/525 (KHTML, like Gecko) BrowserNG/7.1.18124", "Mozilla/5.0 (compatible; MSIE 9.0; Windows Phone OS 7.5; Trident/5.0; IEMobile/9.0; HTC; Titan)", "UCWEB7.0.2.37/28/999", "NOKIA5700/ UCWEB7.0.2.37/28/999", "Openwave/ UCWEB7.0.2.37/28/999", "Mozilla/4.0 (compatible; MSIE 6.0; ) Opera/UCWEB7.0.2.37/28/999", ]
正则表达式筛选出评论部分
t = re.findall(r'\"content\"\:\".*?\"', xbatext)
稍做切片,存入text文件中
for i in range(len(t)):
title = eval(t[i].split(':')[1])
file=open("conn.txt", 'a', encoding='utf-8')
file.write(title)
import requests import re from lxml import etree import json import random #反爬虫 def get(url): proxy_list = [ {"http" or "https": "112.115.57.20:3128"}, {"http" or "https": '121.41.171.223:3128'}, ] user_agent = [ "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", "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0", "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; .NET4.0C; .NET4.0E; .NET CLR 2.0.50727; .NET CLR 3.0.30729; .NET CLR 3.5.30729; InfoPath.3; rv:11.0) like Gecko", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)", "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0)", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0.1) Gecko/20100101 Firefox/4.0.1", "Mozilla/5.0 (Windows NT 6.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1", "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; en) Presto/2.8.131 Version/11.11", "Opera/9.80 (Windows NT 6.1; U; en) Presto/2.8.131 Version/11.11", "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/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Maxthon 2.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; TencentTraveler 4.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; The World)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Avant Browser)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)", "Mozilla/5.0 (iPhone; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5", "Mozilla/5.0 (iPod; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5", "Mozilla/5.0 (iPad; U; CPU OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5", "Mozilla/5.0 (Linux; U; Android 2.3.7; en-us; Nexus One Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "MQQBrowser/26 Mozilla/5.0 (Linux; U; Android 2.3.7; zh-cn; MB200 Build/GRJ22; CyanogenMod-7) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Opera/9.80 (Android 2.3.4; Linux; Opera Mobi/build-1107180945; U; en-GB) Presto/2.8.149 Version/11.10", "Mozilla/5.0 (Linux; U; Android 3.0; en-us; Xoom Build/HRI39) AppleWebKit/534.13 (KHTML, like Gecko) Version/4.0 Safari/534.13", "Mozilla/5.0 (BlackBerry; U; BlackBerry 9800; en) AppleWebKit/534.1+ (KHTML, like Gecko) Version/6.0.0.337 Mobile Safari/534.1+", "Mozilla/5.0 (hp-tablet; Linux; hpwOS/3.0.0; U; en-US) AppleWebKit/534.6 (KHTML, like Gecko) wOSBrowser/233.70 Safari/534.6 TouchPad/1.0", "Mozilla/5.0 (SymbianOS/9.4; Series60/5.0 NokiaN97-1/20.0.019; Profile/MIDP-2.1 Configuration/CLDC-1.1) AppleWebKit/525 (KHTML, like Gecko) BrowserNG/7.1.18124", "Mozilla/5.0 (compatible; MSIE 9.0; Windows Phone OS 7.5; Trident/5.0; IEMobile/9.0; HTC; Titan)", "UCWEB7.0.2.37/28/999", "NOKIA5700/ UCWEB7.0.2.37/28/999", "Openwave/ UCWEB7.0.2.37/28/999", "Mozilla/4.0 (compatible; MSIE 6.0; ) Opera/UCWEB7.0.2.37/28/999", ] header = {'User-Agent': random.choice(user_agent)} xba = requests.get(url, headers=header, proxies=random.choice(proxy_list)) if xba.status_code == 200: #print(xba.text) return xba.text return None def main(): for i in range(1,10): url = 'https://club.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98&productId=100014047052&score=0&sortType=5&page=' finalurl = url+str(i)+'&pageSize=10&isShadowSku=0&fold=1' xbatext = get(finalurl) t = re.findall(r'\"content\"\:\".*?\"', xbatext) #print(t) print("第"+str(i)+"页爬取成功") for i in range(len(t)): title = eval(t[i].split(':')[1]) #print(title) file=open("conn.txt", 'a', encoding='utf-8') file.write(title) print('finished') main()
将图片放进本地中,即可运行词云部分。
#词云 from wordcloud import WordCloud from PIL import Image import numpy as np import matplotlib.pyplot as plt import jieba # 打开文本 text = open('conn.txt',encoding='utf-8').read() # 中文分词 text = ' '.join(jieba.cut(text)) print(text[:100]) st = set(['非常','的','了','很','也','是','还是','都','我','就是','有','可以','用', '之前','就','一点','不','起来','但是','没有','这','在','和','已经','office','好']) # 生成对象 mask = np.array(Image.open("win.jpg")) wc = WordCloud(mask=mask,font_path=r'C:\Windows\Fonts\simhei.ttf', max_font_size=250,width=1300,height=800, background_color='white',stopwords=st).generate(text) # 显示词云 plt.imshow(wc, interpolation='bilinear') plt.axis('off') plt.show() # 保存到文件 wc.to_file('wordcloud2.png')
这是非常基础的爬虫,并没有多高级。作者能力有限,只能做到这个地步。爬虫还有好多部分没有做出,如数据清理,作者没有导入中文停用词文档,只是自己定义了几个停用词使用。作者也没有对评论进行其他筛选。
st = set(['非常','的','了','很','也','是','还是','都','我','就是','有','可以','用',
'之前','就','一点','不','起来','但是','没有','这','在','和','已经','office','好'])
可视化也只使用了词云,类似于直方图,折线图等等都没有。
总之,能力有限,如有错漏,请见谅!
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。