随便爬爬-爬取流程-《恶人转》

**前面爬取过毒液影评，这段时间很多人找我要源码，我之前的代码已经遗失，所以重新做了下，分享给大家，希望帮到大家😀**

爬取豆瓣电影恶人转

 **1.分析网页**

可以看出，strat=0&limit=20，说明第一页，一页20条

第二页，以此类推，所以我们可以得到此信息页。

**2.保存所有网页**

直接给出保存代码，同学们自己查看：

```
import requests
from bs4 import BeautifulSoup
def gethtml(url):
    headers = {'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/18.17763'}
    xx= requests.get(url, headers=headers, timeout=3)
    xx.encoding='utf-8'
    html=xx.text
    return html
        #soup=BeautifulSoup(html, 'html.parser')
        #for i in soup.find_all('div', class_="comment-item"):  # 名字
         #   data.append(i)
        #alldata.append(data)
def savehtml(file_name,html):
    with open(file_name.replace('/', '_') + ".html", "wb") as f:
        # 写文件用bytes而不是str，所以要转码
        f.write(html.encode('utf-8'))
x=0
while x <200:
    y=str(x)
    url='https://movie.douban.com/subject/30211551/comments?start='+y+'&limit=20&sort=new_score&status=P'
    html=gethtml(url)
    xxx=savehtml('data'+y,html)
    x=x+20
 
```

 

 

 

显示结果如上，我们防止其被封杀，所以保存网页下来

**3.数据处理**

```
from bs4 import BeautifulSoup
num=0
allname = []
alltime = []
alldatapeople = []
alltalk = []
while num<200:
    y=str(num)
    with open('data'+y+'.html',"r",encoding='utf-8') as f:
        soup=BeautifulSoup(f.read(), 'html.parser')
        #print(soup)
        data=[]
        alldata=[]
        for i in soup.find_all('div', class_="comment-item"):
            data.append(i.text.replace("\n",''))
            alldata.append(i)
        #print(data)
        name=[]
        time=[]
        datapeople=[]
        talk=[]
        for i in data:
            alldatapeople.append(i.split("                ")[0].split('有用')[0])
            allname.append(i.split("                ")[0].split('有用')[1].split('看过')[0])
            alltime.append(i.split("                ")[1].replace('    ',''))
            alltalk.append(i.split("                ")[2])
        num = num + 20
        #print(alldata)
print(alldatapeople)
print(allname)
print(alltime)
print(alltalk)
```

　　

上述获取了200条评论，以及时间，评论者名字，显示如下：

 

 

数据可视化，以及数据挖掘，从上述数据中自行处理，此处不多讲解
**4.获取更多数据**

我们已经获取数据了，以及通过数据可视化，和数据挖掘，那么我们依旧可以获取更多数据，例如，评论者得地区：代码如下：

```
import requests,csv
from bs4 import BeautifulSoup
def gethtml():
    num = 0
    alldata=[]
    while num<200:
        y=str(num)
        with open('data'+y+'.html',"r",encoding='utf-8') as f:
            soup=BeautifulSoup(f.read(), 'html.parser')
            data=[]
            newdata=[]
            for i in soup.find_all('div', class_="comment-item"):
                data.append(i)
            for i in data:
                x=str(i).replace("\n","")
                newdata.append(x)
            #print(newdata)
            for i in newdata:
               # print(i.split('href="')[1].split('"')[0])
                alldata.append(i.split('href="')[1].split('"')[0])
        num = num + 20
    return alldata
#https://www.douban.com/people/128265644/
def getdata(url_list):
    alldata=[]
    for i in url_list:
        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/18.17763'}
        xx = requests.get(i, headers=headers, timeout=30)
        xx.encoding = 'utf-8'
        html = xx.text
        soup = BeautifulSoup(html, 'html.parser')
        for i in soup.find_all('div', class_="user-info"):  # 名字
            try:
                print(i.text.split("常居: ")[1].split("\n")[0])
                alldata.append(i.text.split("常居: ")[1].split("\n")[0])
            except:
                alldata.append("暂无")
    with open("居住地.csv", 'w+', newline="",encoding='utf-8') as f:
        writer = csv.writer(f)
        for row in alldata:
            writer.writerow(row)
y=gethtml()
x=getdata(y)
```

 

结果如下：

 

 

我将其保存为csv格式，应为涉及到得网页较多，所以容易被封，建议大家保存数据在自己电脑上，或者代理ip，等等，基本上所有代码都在上面了，关于数据分析，大家自行百度，如何画图，之类的既然有数据，那应该很简单了。