今天花了点时间写了一个新的爬虫。
难点在于通过Chrome浏览器来分析请求。查看返回的数据。来看哪个是真正的请求。
代码还有很多可以优化的地方!!!
通过Chrome的开发者模式找到评论的入口。
time is cheap,code time!
import requests,time,json
import pymysql
def get_page(url):
headers = {
'User-Agent':'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8)
Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6'
}
response = requests.get(url,headers=headers)
text = response.text
print(text)
new_text = text[27:-2]
result = json.loads(new_text) #将json格式的文字转化成字符串
comments = result['comments']
for i in comments:
items = []
items.append(str(i['id']))
items.append(i['content'])
items.append(i['referenceName'])
items.append(i['referenceTime'])
items.append(i['nickname'])
items.append(i['productColor'])
items.append(i['userLevelName'])
items.append(i['userLevelId'])
items.append(i['userClientShow'])
items.append(i['mobileVersion'])
items.append(str(i['isMobile']))
#print(items)
saveSql(items)
def saveSql(items):
id = items[0]
content = items[1]
referenceName = items[2]
referenceTime = items[3]
userLevelId = items[4]
nickname = items[5]
productColor = items[6]
userLevelName = items[7]
userClientShow = items[8]
mobileVersion = items[9]
isMobile = items[10]
conn = pymysql.connect(host='localhost',port=3306,user='root',password='123456',database='jdlipstick')
cur = conn.cursor()
sql = 'INSERT INTO contents(id,content,referenceName,referenceTime,userLevelId,nickname,productColor,userLevelName,userClientShow,mobileVersion,isMobile) VALUES ("%s","%s","%s","%s","%s","%s","%s","%s","%s","%s","%s")'%(
id, content, referenceName, referenceTime, userLevelName, nickname, productColor, userLevelId, userClientShow,
mobileVersion, isMobile)
try:
cur.execute(sql)
conn.commit()
except:
print("error",sql)
finally:
print('sucessfully')
cur.close()
conn.close()
if __name__ == '__main__':
for i in range(100,101):
url = 'https://sclub.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98vv30097&productId=12259131996&score=0&sortType=5&page={}&pageSize=10&isShadowSku=0&rid=0&fold=1'.format(i)
get_page(url)
print("current page%s"%i)
数据库
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