Python：学习爬取数据以分析（城市注册时间发表时间评分评论内容）

Posted 2022-11-27 方舟aark

最近因为泰迪实习需要，做一些这样的数据分析。分享一下相关代码。

修改其中的url（注意应用规则，需要对爬虫有一定了解）即可用。

import requests
import re
from task_getUserInf import getUserInf
import pandas as pd
import emoji

#用户数据获取
res = []
count = 1;
number = -1
for i in range(0,20):
    print("========正在爬取第页用户数据，请稍等..========".format(i+1))
    num = i * 20
    url = 'https://movie.douban.com/subject/26100958/comments?start=&limit=20&status=P&sort=new_score'.format(num)
    headers = 
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (Khtml, like Gecko) Chrome/73.0.3683.103 Safari/537.36'
                   
    response = requests.get(url,headers=headers)
    html_data = response.text
    html_data = emoji.demojize(html_data)
    # print(html_data)
    getData = re.compile('<a href="(.*?)" class="">.*?</a>')
    getData1 = re.compile('<span class="comment-time " title="(.*?)">')
    getData2 = re.compile('<span class="short">((?:.|\\n)*?)</span>')
    getData3 = re.compile('<span class=".*? rating" title="(.*?)"></span>')
    rateData = re.findall(getData3, html_data)
    Data = re.findall(getData,html_data)
    timeData = re.findall(getData1, html_data)
    commmentData = re.findall(getData2,html_data)

    for i2 in range(0, len(rateData)):
        if rateData[i2] == '很差':
            rateData[i2] = 1
        elif rateData[i2] == '较差':
            rateData[i2] = 2
        elif rateData[i2] == '还行':
            rateData[i2] = 3
        elif rateData[i2] == '推荐':
            rateData[i2] = 4
        elif rateData[i2] == '力荐':
            rateData[i2] = 5
    while(len(rateData) - len(Data) != 0):
        rateData.append(3)


    wait = []
    waiters = ""
    for waiter in range(0,len(commmentData)):
        wait.append('-')


    for k in range(0,len(commmentData)):
        get = getUserInf(Data[k])
        wait[k] = "o"
        waiters = waiters.join(wait)
        print("No.【\\】：[".format(count, k, len(commmentData)), waiters, "]")
        waiters = ""
        if len(get) == 2:
            count = count + 1
            number = number + 1
            res.append((get[0],get[1],timeData[k],rateData[k],commmentData[k]))
            # print("!!!已爬取第位用户数据，本页还剩位用户。!!!".format((k+1),(len(commmentData)-k-1)))
            print("     爬取数据：", res[number])
        else:
            print("     第位用户已注销或信息不完整，略过。".format(k+1))
        print("")


name = ['城市','注册时间','发言时间','评分','评论内容']
test = pd.DataFrame(columns=name,data=res)
print(test)
test.to_csv('../data/userData.csv',encoding='gbk')
print("完成！")

以下代码保存名为task_getUserInf，然后运行上面的代码即可。

import requests
import re

#用户数据获取
def getUserInf(url):
    headers = 
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.103 Safari/537.36'
                   
    response = requests.get(url,headers=headers)
    # response.encoding = response.apparent_encoding
    html_data = response.text
    # print(html_data)
    # getData1 = re.compile('<a href="https://www.douban.com/location/.*?">(.*?)</a>')
    getData1 = re.compile('<a href=".*?">(.*?)</a><br />')
    getData2 = re.compile('<div class="pl">.*? <br/> (.*?)加入</div>')
    Data = re.findall(getData1,html_data)
    Data2 = re.findall(getData2,html_data)
    if Data and Data2 and len(Data[0]) < 10:
        # print("用户长居城市为：", Data[0])
        # print("用户注册时间为：", Data2[0])
        return Data[0],Data2[0]
    else:
        # print("无数据。")
        return ['no','data','!']