scrapy入门-获取电影排行榜保存到json,csv,mysql

1.下载包

pip install scrapy

2.在使用路径终端上创建项目指令: scrapy startproject 项目名

scrapy startproject maoyan

cd maoyan

scrapy genspider maoyan https://www.maoyan.com/

scrapy入门-获取电影排行榜保存到json,csv,mysql

创建后目录大致页如下

|-ProjectName #项目文件夹

|-ProjectName #项目目录

|-items.py #定义数据结构

|-middlewares.py #中间件

|-pipelines.py #数据处理

|-settings.py #全局配置

|-spiders

|-__init__.py #爬虫文件

|-maoyan.py

|-scrapy.cfg #项目基本配置文件

3.settings设置如下: 

# 项目名
BOT_NAME = 'maoyan'

SPIDER_MODULES = ['maoyan.spiders']
NEWSPIDER_MODULE = 'maoyan.spiders'

# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.45 Safari/537.36'

# ROBOTSTXT_OBEY:是否遵循机器人协议,默认是true,需要改为false,否则很多东西爬不了
ROBOTSTXT_OBEY = False

# CONCURRENT_REQUESTS:最大并发数,很好理解,就是同时允许开启多少个爬虫线程
#CONCURRENT_REQUESTS = 32

# 下载延迟时间,单位是秒,控制爬虫爬取的频率
DOWNLOAD_DELAY = 3

# DEFAULT_REQUEST_HEADERS:默认请求头,上面写了一个USER_AGENT,其实这个东西就是放在请求头里面的,这个东西可以根据你爬取的内容做相应设置。
#DEFAULT_REQUEST_HEADERS = {
#   'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
#   'Accept-Language': 'en',
#}

#ITEM_PIPELINES:项目管道,300为优先级,越低越爬取的优先度越高
ITEM_PIPELINES = {
   'myfirstPj.pipelines.MyfirstpjPipeline': 300,
}
#编码格式 , 不设置的话json就会乱码
FEED_EXPORT_ENCODING = 'utf-8'
USER_AGENT 在浏览器中可看到:
scrapy入门-获取电影排行榜保存到json,csv,mysql

 4.在items.py上编写 

import scrapy

class MaoyanItem(scrapy.Item):
    move_name=scrapy.Field()
    peaple_name=scrapy.Field()
    move_time = scrapy.Field()
    describe= scrapy.Field()

 5.创建一个maoyan_spider.py文件

scrapy入门-获取电影排行榜保存到json,csv,mysql

 scrapy入门-获取电影排行榜保存到json,csv,mysql

scrapy入门-获取电影排行榜保存到json,csv,mysqlscrapy入门-获取电影排行榜保存到json,csv,mysql

 scrapy入门-获取电影排行榜保存到json,csv,mysql

 6.在 maoyan_spider.py上编写 

scrapy入门-获取电影排行榜保存到json,csv,mysql

import scrapy
from maoyan.items import MaoyanItem

class MaoyanSpiderSpider(scrapy.Spider):
    name = 'maoyan_spider' #项目名
    allowed_domains = ['maoyan.com'] #域名
    #url入口
    start_urls = ['https://www.maoyan.com/board/4?timeStamp=1638539026134&channelId=40011&index=1&signKey=a675982b76014e4a8b7f3beb5afe7441&sVersion=1&webdriver=false']

    def parse(self, response):
        # //*[@id="app"]/div/div/div[1]/dl/dd[3]/div
        move_list = response.xpath("//*[@id='app']/div/div/div[1]/dl//div/div/div[1]")
        for d in move_list:
            maoyan_item=MaoyanItem()## 初始化item对象保存爬取的信息
            # //*[@id="app"]/div/div/div[1]/dl/dd[3]/div/div/div[1]/p[1]/a name
            # //*[@id="app"]/div/div/div[1]/dl/dd[3]/div/div/div[1]/p[3] time
            # //*[@id="app"]/div/div/div[1]/dl/dd[3]/div/div/div[1]/p[2] peaple
            n_list= []
            p_list= []
            # 电影名
            aaa=d.xpath(".//p[1]/a").extract_first().split('"') # 切割第一个数据
            for aa in aaa:
                n_list.append(aa)
            maoyan_item['move_name'] = n_list[3]
            # 主演
            bbb=d.xpath(".//p[2]").extract_first().split('\n')
            for bb in bbb:
                p_list.append(bb)
            maoyan_item['peaple_name'] = p_list[1].replace('主演:','').strip()
            # 上映时间
            move_time1 = d.xpath(".//p[3]").extract()
            for t in move_time1:
                ccc=re.search(r"(\d{4}-\d{1,2}-\d{1,2})",t).group(0)
                maoyan_item['move_time'] =ccc
            print(maoyan_item)
            yield maoyan_item   # 提交到调度器

7.手动创建一个main.py,用来运行的,也可以用指令

scrapy入门-获取电影排行榜保存到json,csv,mysql

from scrapy import cmdline
cmdline.execute('scrapy crawl maoyan_spider'.split())

8.运行main.py 

scrapy入门-获取电影排行榜保存到json,csv,mysql

9.存储方式:json,csv,mysql

 1)保存到json——注意路径

scrapy crawl maoyan_spider -o test.json

 scrapy入门-获取电影排行榜保存到json,csv,mysqlscrapy入门-获取电影排行榜保存到json,csv,mysql

scrapy入门-获取电影排行榜保存到json,csv,mysql

 2)保存到csv——注意路径

scrapy crawl maoyan_spider -o test.csv

scrapy入门-获取电影排行榜保存到json,csv,mysql

 scrapy入门-获取电影排行榜保存到json,csv,mysql

3)保存到数据库mysql

 

#settings.py
# mongo_host='192.168.x.xxx'
# mongo_post=27017
# mongo_db_name='maoyan'
# mongo_db_collection='maoyan_movie'

MYSQL_HOST = 'localhost'
MYSQL_DBNAME = 'maoyan_sql'
MYSQL_USER = 'root'
MYSQL_PASSWD = '1234'


#pipelines.py
# mongo_host='192.168.x.xxx'
# mongo_post=27017
# mongo_db_name='maoyan'
# mongo_db_collection='maoyan_movie'
MYSQL_HOST = 'localhost'
MYSQL_DBNAME = 'maoyan_sql'
MYSQL_USER = 'root'
MYSQL_PASSWD = '1234'#pipelines.py
from itemadapter import ItemAdapter
import pymysql
from sqlalchemy import *
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from datetime import datetime
#连接数据库
from maoyan import settings
def dbHandle():
    conn = pymysql.connect(
        host = "localhost",
        user = "root",
        passwd = "1234",
        charset = "utf8mp4",
        use_unicode = False
    )
    return conn
class MaoyanPipeline:
    def __init__(self):
        # 连接数据库
        self.connect = pymysql.connect(
            host=settings.MYSQL_HOST,
            db=settings.MYSQL_DBNAME,
            user=settings.MYSQL_USER,
            passwd=settings.MYSQL_PASSWD,
            charset='utf8',
            use_unicode=True)
        # 通过cursor执行增删查改
        self.cursor = self.connect.cursor()
    def process_item(self, item, spider):
        try:
            # 插入数据
            self.cursor.execute(
                """insert into move(move_name,peaple_name,move_time) value (%s, %s, %s)""",
                (item['move_name'],
                 item['peaple_name'],
                 item['move_time']))
            # 提交sql语句
            self.connect.commit()
        except BaseException as e:
            # 出现错误时打印错误日志
            print("error:------------", e, "-----------------")
        return item
#dbmongo部分参考
    # def __init__(self):
    #     host=mongo_host
    #     post=mongo_post
    #     dbname=mongo_db_name
    #     sheetname=mongo_db_collection
    #     client=pymongo.MongoClient(host=host,post=post)
    #     mydb=client[dbname]
    #     self.post=mydb[sheetname]#读写操作
    # def process_item(self, item, spider):
    #     data=dict(item)#先转字典,再数据插入
    #     self.post.insert(data)
    #     return item
# # class HellospiderPipeline(object):
#     def process_item(self, item, spider):
#         dbObject = dbHandle()
#         cursor = dbObject.cursor()
#         cursor.execute("USE maoyan_sql")
#         #插入数据库
#         sql = "INSERT INTO move(move_name,peaple_name,move_time) VALUES(%s,%s,%s)"
#         try:
#             cursor.execute(sql,
#                            ( item['move_name'], item['peaple_name'], item['move_time']))
#             cursor.connection.commit()
#         except BaseException as e:
#             print("错误在这里>>>>>>>>>>>>>", e, "<<<<<<<<<<<<<")
#             dbObject.rollback()
#         return item

数据库中查看如下:

 scrapy入门-获取电影排行榜保存到json,csv,mysqlscrapy入门-获取电影排行榜保存到json,csv,mysql

结尾:#以下仅供参考:

#middlewares.py
#定义ip代理中间件 import base64 class my_proxy(object): def process_request(self,request,spider): request.meta['proxy']='http-xxx.com:端口号' proxy_name_pass=b'用户名:密码' encode_pass_name=base64.b64encode(proxy_name_pass)#加密 request.headers['proxy-Authorization']='Basic '+encode_pass_name.decode()
#中间件定义之后一定要在settings文件内启用
#settings.py DOWNLOADER_MIDDLEWARES = { # 'maoyan.middlewares.MaoyanDownloaderMiddleware': 543, 'maoyan.middlewares.my_proxy': 543 }
#middlewares.py #定义useragent中间件 class my_useragent(object): def process_request(self,request,spider): USER_AGENT_LIST=[百度一下就有] agent=random.choice(USER_AGENT_LIST) request.headers['User_Agent']=agent #settings.py优先级不能相同 DOWNLOADER_MIDDLEWARES = { 'maoyan.middlewares.my_proxy': 543, 'maoyan.middlewares.my_uesragent': 544, }
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