学习Python爬虫案例-获得豆瓣Top250的电影数据

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我是靠谱客的博主单薄康乃馨，最近开发中收集的这篇文章主要介绍学习Python爬虫案例-获得豆瓣Top250的电影数据，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

把豆瓣top250的电影数据爬取到Excel

from bs4 import BeautifulSoup
# 网页解析，获取数据
import re
# 正则表达式，进行文字匹配
import urllib.request, urllib.error
# 指定URL，获取网页数据
import xlwt
# 进行excel操作
import _sqlite3
# 进行SQLite数据库操作
def main():
baseUrl = "https://movie.douban.com/top250?start="
savePath = '.\豆瓣电影Top250.xls'
# 1.爬取网页
# 2.解析数据
dataList = getData(baseUrl)
# 3.保存至数据库
saveData(dataList, savePath)
##以下为正则匹配的模板设置
findLink = re.compile(r'<a href="(.*?)">')
# 生成电影链接的规则
# 影片的图片 re.S（让换行符包含在字符中）
findImgSrc = re.compile(r'<img.*src="(.*?)"', re.S)
findTitle = re.compile(r'<span class="title">(.*?)</span>')
findRating = re.compile(r'<span class="rating_num" property="v:average">(.*?)</span>')
# 评价人数
findJudge = re.compile(r'<span>(d*)人评价</span>')
# 找到概况
findInq = re.compile(r'<span class="inq">(.*)</span>', re.S)
findBd = re.compile(r'<p class="">(.*?)</p>', re.S)
# 爬取网页
def getData(baseUrl):
dataList = []
for i in range(0, 10):
url = baseUrl + str(i * 25)
# 通过url请求服务器获得html数据
html = askURL(url)
# 逐一解析数据，采用本地解析器
soup = BeautifulSoup(html, "html.parser")
for item in soup.find_all('div', class_="item"):
# 查找符合要求的字符串，形成列表
data = []
# 保存一部电影的所有信息
item = str(item)#转为字符串
link = re.findall(findLink, item)[0]
data.append(link)
imgSrc = re.findall(findImgSrc, item)[0]
data.append(imgSrc)
titles = re.findall(findTitle, item)
if (len(titles) == 2):
ctitle = titles[0]
data.append(ctitle)
otitle = titles[1].replace("/", "")
data.append(otitle)
else:
data.append(titles[0])
data.append(' ')
rating = re.findall(findRating, item)[0]
data.append(rating)
judge = re.findall(findJudge, item)[0]
data.append(judge)
inq = re.findall(findInq, item)
if len(inq) != 0:
inq = inq[0].replace(".", "")
data.append(inq)
else:
data.append("")
bd = re.findall(findBd, item)[0]
bd = re.sub('<br(s+)?/>', '', bd)
bd = re.sub('/', '', bd)
data.append(bd.strip())
dataList.append(data)
return dataList
# 保存数据
def saveData(dataList, savePath):
book = xlwt.Workbook(encoding="utf-8", style_compression=0)
sheet = book.add_sheet('豆瓣电影Top250', cell_overwrite_ok=True)
col = ("电影详情链接", "图片链接", "影片中文名", "影片外国名", "评分", "评价数", "概况", "相关信息")
for i in range(0, 8):
#写入表头
sheet.write(0, i, col[i])
for i in range(0, 250):
print("第{0}条".format(str(i + 1)))
data = dataList[i]
for j in range(0, 8):
#写到Excel
sheet.write(i + 1, j, data[j])
book.save(savePath)
# 得到指定一个URL的网页内容
def askURL(url):
head = {
#设置代理，模拟为浏览器请求
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.84 Safari/537.36"
}
request = urllib.request.Request(url, headers=head)
html = ""
try:
response = urllib.request.urlopen(request)
#得到网站的html数据，并进行utf-8解码
html = response.read().decode('utf-8')
except urllib.error.URLError as e:
if hasattr(e, "code"):
print(e.code)
if hasattr(e, "reason"):
print(e.reason)
return html
if __name__ == "__main__":
main()

把豆瓣top250的数据爬取后保存到SQLite

from bs4 import BeautifulSoup
# 网页解析，获取数据
import re
# 正则表达式，进行文字匹配
import urllib.request, urllib.error
# 指定URL，获取网页数据
import xlwt
# 进行excel操作
import _sqlite3
# 进行SQLite数据库操作
def main():
baseUrl = "https://movie.douban.com/top250?start="
savePath = '.\豆瓣电影Top250.xls'
dbPath = "movie.db"
# 1.爬取网页
# 2.解析数据
dataList = getData(baseUrl)
# 3.保存至数据库
# saveData(dataList, savePath)
saveDBData(dataList, dbPath)
##以下为正则匹配的模板设置
findLink = re.compile(r'<a href="(.*?)">')
# 生成电影链接的规则
# 影片的图片 re.S（让换行符包含在字符中）
findImgSrc = re.compile(r'<img.*src="(.*?)"', re.S)
findTitle = re.compile(r'<span class="title">(.*?)</span>')
findRating = re.compile(r'<span class="rating_num" property="v:average">(.*?)</span>')
# 评价人数
findJudge = re.compile(r'<span>(d*)人评价</span>')
# 找到概况
findInq = re.compile(r'<span class="inq">(.*)</span>', re.S)
findBd = re.compile(r'<p class="">(.*?)</p>', re.S)
# 爬取网页
def getData(baseUrl):
dataList = []
for i in range(0, 10):
url = baseUrl + str(i * 25)
# 通过url请求服务器获得html数据
html = askURL(url)
# 逐一解析数据，采用本地解析器
soup = BeautifulSoup(html, "html.parser")
for item in soup.find_all('div', class_="item"):
# 查找符合要求的字符串，形成列表
data = []
# 保存一部电影的所有信息
item = str(item)
# 转为字符串
link = re.findall(findLink, item)[0]
data.append(link)
imgSrc = re.findall(findImgSrc, item)[0]
data.append(imgSrc)
titles = re.findall(findTitle, item)
if (len(titles) == 2):
ctitle = titles[0]
data.append(ctitle)
otitle = titles[1].replace("/", "")
data.append(otitle)
else:
data.append(titles[0])
data.append(' ')
rating = re.findall(findRating, item)[0]
data.append(rating)
judge = re.findall(findJudge, item)[0]
data.append(judge)
inq = re.findall(findInq, item)
if len(inq) != 0:
inq = inq[0].replace(".", "")
data.append(inq)
else:
data.append("")
bd = re.findall(findBd, item)[0]
bd = re.sub('<br(s+)?/>', '', bd)
bd = re.sub('/', '', bd)
data.append(bd.strip())
dataList.append(data)
return dataList
# 保存数据
def saveData(dataList, savePath):
book = xlwt.Workbook(encoding="utf-8", style_compression=0)
sheet = book.add_sheet('豆瓣电影Top250', cell_overwrite_ok=True)
col = ("电影详情链接", "图片链接", "影片中文名", "影片外国名", "评分", "评价数", "概况", "相关信息")
for i in range(0, 8):
# 写入表头
sheet.write(0, i, col[i])
for i in range(0, 250):
print("第{0}条".format(str(i + 1)))
data = dataList[i]
for j in range(0, 8):
# 写到Excel
sheet.write(i + 1, j, data[j])
book.save(savePath)
# 报错到sqllite
def saveDBData(dataList, dbPath):
# init_db(dbPath)
conn = _sqlite3.connect(dbPath)
cur = conn.cursor()
for data in dataList:
for index in range(len(data)):
data[index] = '"' + data[index] + '"'
sql = """
insert into movie250 (
info_link,pic_link,cname,ename,score,rated,instrodouction,info
)
values(%s)
""" % ",".join(data)
print(sql)
cur.execute(sql)
conn.commit()
cur.close()
conn.close()
def init_db(dbPath):
sql = """
create table movie250(
id integer
primary key autoincrement,
info_link text,
pic_link text,
cname varchar,
ename varchar,
score numeric,
rated numeric,
instrodouction text,
info text)
"""
conn = _sqlite3.connect(dbPath)
cursor = conn.cursor()
cursor.execute(sql)
conn.commit()
conn.close()
# 得到指定一个URL的网页内容
def askURL(url):
head = {
# 设置代理，模拟为浏览器请求
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.84 Safari/537.36"
}
request = urllib.request.Request(url, headers=head)
html = ""
try:
response = urllib.request.urlopen(request)
# 得到网站的html数据，并进行utf-8解码
html = response.read().decode('utf-8')
except urllib.error.URLError as e:
if hasattr(e, "code"):
print(e.code)
if hasattr(e, "reason"):
print(e.reason)
return html
if __name__ == "__main__":
main()