1、创建Scrapy项目

scrapy startproject XPC

2.进入项目目录，使用命令genspider创建Spider（注意后面允许爬取的域要增加）

scrapy genspider xpc xinpianchang.com

3、定义要抓取的数据（处理items.py文件）

# -*- coding: utf-8 -*-

import scrapy

class XpcItem(scrapy.Item):
    # 视频id
    v_id = scrapy.Field()
    # 视频名字
    video_name = scrapy.Field()
    # 视频分类
    category = scrapy.Field()
    # 上传时间
    up_time = scrapy.Field()
    # 播放量
    play_counts = scrapy.Field()
    # 点赞量
    like_counts = scrapy.Field()
    # 视频链接地址
    video_url = scrapy.Field()
    # 视频介绍
    video_info = scrapy.Field()
    # json文件地址，这个页面可以查看到视频的播放地址video_url
    json_url = scrapy.Field()
    # 视频详情页地址
    video_detail_url = scrapy.Field()

4、编写提取item数据的Spider（在spiders文件夹下：xpc.py）

# -*- coding: utf-8 -*-
# 获取新片场作品
import re
import datetime
import scrapy
from ..items import XpcItem
import json

class XpcSpider(scrapy.Spider):
    name = 'xpc'
    allowed_domains = ['xinpianchang.com','openapi-vtom.vmovier.com']
    start_urls = ['https://www.xinpianchang.com/channel/index/type-/sort-like/duration_type-0/resolution_type-/page-1']

    def parse(self, response):
        # 获取视频id，每页40条
        video_id = response.xpath('//div[@class="channel-con"]/ul[@class="video-list"]/li/@data-articleid').extract()
        for id in video_id:
            # 视频详情页地址
            video_detail_url = 'https://www.xinpianchang.com/a{}'.format(id)
            yield scrapy.Request(url=video_detail_url,meta={'meta_1':video_detail_url},callback=self.video_detail)
        # 非登录状态只能获取20页
        total_page = 20
        for page in range(2,total_page+1):
            print("处理第%s页..."%page)
            url = 'https://www.xinpianchang.com/channel/index/type-/sort-like/duration_type-0/resolution_type-/page-'
            yield scrapy.Request(url=url+str(page),callback=self.parse)
    # 视频详情页
    def video_detail(self,response):
        # 在spider运行到某个位置时暂停，查看被处理的response等情况
        # from scrapy.shell import inspect_response
        # inspect_response(response, self)
        meta_1 = response.meta['meta_1']
        # with open(meta_1.split('a')[-1] + ".html",'w',encoding='utf-8')as f:
        #     f.write(response.text)
        item = XpcItem()
        # 视频详情页面
        item['video_detail_url'] = meta_1
        item['v_id'] = meta_1.split('a')[-1]
        # 视频名字
        video_name = response.xpath('//div[@class="title-wrap"]/h3/text()').extract_first()
        item['video_name'] = video_name.strip()
        # 视频分类
        # category = response.xpath('//span/span[contains(@class,"cate")]//text()').extract()
        # item['category'] = "".join([s.strip() for s in category])
        # 视频分类可能有多个，先判断有几个分类，取奇数个，偶数个是个|符号
        category_count = len(response.xpath("//span[contains(@class,'cate-box')]/span/a[1]"))
        if category_count >1:
            category_list = []
            for i in range(1,category_count+1):
                c = response.xpath("//span[contains(@class,'cate-box')]/span["+str(2*i-1)+"]/a/text()").extract()
                category_list.append("-".join([s.strip() for s in c]))
            item['category'] = ",".join(category_list)
        else:
            category = response.xpath('//span/span[contains(@class,"cate")]//text()').extract()
            item['category'] = "".join([s.strip() for s in category])
        # 视频上传时间，时间会显示昨天不知道几号要转换
        up_time = response.xpath('//div/span[contains(@class,"update-time")]/i/text()').get()
        today = datetime.datetime.today()
        if '昨天' in up_time:
            yes = today - datetime.timedelta(days=1)
            up_time = up_time.replace('昨天', yes.strftime("%Y-%m-%d"))
        elif '今天' in up_time:
            up_time = up_time.replace('今天', today.strftime("%Y-%m-%d"))
        item['up_time'] = up_time
        # 播放量
        play_counts = response.xpath('//div/i[contains(@class,"play-counts")]/@data-curplaycounts').get()
        item['play_counts'] = play_counts
        # 喜欢量，点赞量
        like_counts = response.xpath('//span/span[contains(@class,"like-counts")]/@data-counts').get()
        item['like_counts'] = like_counts
        # 视频连接地址
        # video_url = response.xpath('//*[@id="xpc_video"]/source/@src').extract_first()
        # item['video_url'] = video_url.strip()
        # 视频介绍
        video_info= response.xpath('//div[@class="filmplay-info"]/div/p[1]/text()').extract()
        video_info = [s.strip() for s in video_info]
        item['video_info']= ','.join(video_info)
        # data-vid是json文件地址的一部分：960VAm7OGE7DRnW8
        # https://openapi-vtom.vmovier.com/v3/video/960VAm7OGE7DRnW8?expand=resource&usage=xpc_web&appKey=61a2f329348b3bf77
        # ①通过xpath获取data_vid
        # data_vid = response.xpath('//div[@class="filmplay-data"]/div/span/a/@data-vid').extract_first()
        # ②通过正则获取data_vid
        patt_vid = re.compile(r'vid = "(\w+)";')
        data_vid = patt_vid.findall(response.text)[0]
        # modeServerAppKey=61a2f329348b3bf77这个值不知道会不会变
        patt_modeServerAppKey = re.compile(r'modeServerAppKey = "(\w+)";')
        data_modeServerAppKey = patt_modeServerAppKey.findall(response.text)[0]
        # json文件地址，这个页面可以查看到视频的播放地址video_url
        json_url = 'https://openapi-vtom.vmovier.com/v3/video/{}?expand=resource&usage=xpc_web&appKey={}'.format(data_vid,data_modeServerAppKey)
        item['json_url'] = json_url
        yield scrapy.Request(url=json_url,meta={'meta_2':item},callback=self.video_address)
    # 视频地址
    def video_address(self,respones):
        item = XpcItem()
        meta_2 = respones.meta['meta_2']
        item['v_id'] = meta_2['v_id']
        item['video_name'] = meta_2['video_name']
        item['video_detail_url'] = meta_2['video_detail_url']
        item['video_info'] = meta_2['video_info']
        item['json_url'] = meta_2['json_url']
        item['category'] = meta_2['category']
        item['up_time'] = meta_2['up_time']
        item['play_counts'] = meta_2['play_counts']
        item['like_counts'] = meta_2['like_counts']
        json_html = json.loads(respones.text)
        # resource = {'default':'','progressive':'','lowest':''}，这里面有不同的清晰度，要进行判断
        resource = json_html['data']['resource']
        if 'default' in resource.keys():
            item['video_url'] = json_html['data']['resource']['default']['url']
        elif 'progressive' in resource.keys():
            item['video_url'] = json_html['data']['resource']['progressive'][0]['url']
        else:
            item['video_url'] = json_html['data']['resource']['lowest']['url']
        yield item

5.处理pipelines管道文件保存数据，将结果保存到数据库中（pipelines.py）

# -*- coding: utf-8 -*-

import pymysql

class MySqlPipeline(object):
    @classmethod
    def from_crawler(cls,crawler):
        cls.MYSQL_HOST = crawler.settings.get('MYSQL_HOST')
        cls.MYSQL_PORT = crawler.settings.get('MYSQL_PORT')
        cls.MYSQL_USER = crawler.settings.get('MYSQL_USER')
        cls.MYSQL_PASSWD = crawler.settings.get('MYSQL_PASSWD')
        cls.MYSQL_DBNAME = crawler.settings.get('MYSQL_DBNAME')
        cls.MYSQL_CHARSET = crawler.settings.get('MYSQL_CHARSET')
        return cls()
    def __init__(self):
        self.db = pymysql.connect(host=self.MYSQL_HOST,port=self.MYSQL_PORT,user=self.MYSQL_USER,passwd=self.MYSQL_PASSWD,
                        db=self.MYSQL_DBNAME,charset=self.MYSQL_CHARSET)
        self.cursor = self.db.cursor()

    def process_item(self,item,spider):
        try:
            # 尝试创建xpc表
            # self.cursor.execute('DROP table IF EXISTS xpc')
            sql = 'CREATE TABLE IF NOT EXISTS xpc(v_id BIGINT primary key not null COMMENT "视频页id",' \
                  'video_name varchar(200),category varchar(100),up_time VARCHAR(50),play_counts INT(13),like_counts INT(13),' \
                  'video_detail_url varchar(100),video_url varchar(200),video_info LONGTEXT,' \
                  'json_url varchar(300))ENGINE =InnoDB DEFAULT CHARSET=utf8mb4;'
            self.cursor.execute(sql)
        except Exception as e:
            print("xpc表已存在，无需创建！")
        try:
            # 去重处理
            self.cursor.execute("SELECT v_id from xpc WHERE v_id=%s;",item['v_id'])
            repetition = self.cursor.fetchone()
            keys, values = zip(*item.items())
            # 如果存在，则不重新插入，只更新
            if repetition:
                # ON DUPLICATE KEY UPDATE:数据已存在，只是更新部分字段值，否则插入重复key值数据会报错
                sql = """
                    INSERT INTO xpc({})VALUES ({}) ON DUPLICATE KEY UPDATE {};""".format(
                    ','.join(keys),
                    ','.join(['%s']*len(values)),
                    ','.join(['{}=%s'.format(k) for k in keys]))
                self.cursor.execute(sql,values*2)
            else:
                sql = """
                    INSERT INTO xpc({})VALUES ({});""".format(
                    ','.join(keys),
                    ','.join(['%s'] * len(values)))
                self.cursor.execute(sql, values)
            self.db.commit()
            # print(self.cursor._last_executed)
            return item
        except Exception as e:
            print("出错ERROR:",e)
            self.db.rollback()

    def close_spider(self,spider):
        print("mysql数据库处理完毕")
        self.cursor.close()
        self.db.close()

6.配置settings文件（settings.py）

ROBOTSTXT_OBEY = False

# 配置数据库
MYSQL_HOST = 'localhost'
MYSQL_PORT = 3306
MYSQL_USER = 'root'
MYSQL_PASSWD = '123456'
MYSQL_DBNAME = 'python5'
MYSQL_CHARSET = 'utf8mb4'

DOWNLOAD_DELAY = 3

DEFAULT_REQUEST_HEADERS = {
'User-Agesettingsnt': 'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0);',
  # 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  # 'Accept-Language': 'en',
}

ITEM_PIPELINES = {
   'XPC.pipelines.MySqlPipeline': 300,
}


# 还可以将日志存到本地文件中（可选添加设置）
LOG_FILE = "xpc.log"
LOG_LEVEL = "DEBUG"
# 包含打印信息也一起写进日志里
LOG_STDOUT = True

7.以上设置完毕，进行爬取：执行项目命令crawl，启动Spider：

scrapy crawl xpc