创建爬虫环境

scrapy startproject xpc
cd xpc 
scrapy genspider xinpianchang.com

创建调试文件

主项目下新建start.py文件
from scrapy.cmdline import execute

execute('scrapy crawl myxpc --nolog'.split())
#execute('scrapy crawl myxpc'.split())

创建数据库

CREATE DATABASE IF NOT EXISTS `xpc_2020` charset='utf8';
USE `xpc_2020`;

CREATE TABLE IF NOT EXISTS `posts` (
	`pid` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '作品表主键',
	`title` VARCHAR(256) NOT NULL COMMENT '作品标题',
	`thumbnail` VARCHAR(512) COMMENT '视频缩略图',
	`preview` VARCHAR(512) COMMENT '视频预览图',
	`video` VARCHAR(512) COMMENT '视频链接',
	`video_format` VARCHAR(32) COMMENT '视频格式：4K 等', 
	`category` VARCHAR(512) NOT NULL DEFAULT '' COMMENT '作品分类',
	`duration` INT(11) NOT NULL DEFAULT 0 COMMENT '播放时长',
	`created_at` VARCHAR(128) NOT NULL DEFAULT '' COMMENT '发表时间',
	`description` text COMMENT '作品描述',
	`play_counts` INT(8) NOT NULL DEFAULT 0 COMMENT '播放次数',
	`like_counts` INT(8) NOT NULL DEFAULT 0 COMMENT '被点赞次数',
	PRIMARY KEY (`pid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT '作品表';

CREATE TABLE IF NOT EXISTS `composers` (
	`cid` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '创作者表主键',
	`banner` VARCHAR(512) NOT NULL COMMENT '用户主页banner图片',
	`avatar` VARCHAR(512) NOT NULL DEFAULT '' COMMENT '用户头像',
	`verified` VARCHAR(128) COMMENT '是否加V',
	`name`  VARCHAR(128) NOT NULL COMMENT '名字',
	`intro` TEXT COMMENT '自我介绍',
	`like_counts` INT(8) NOT NULL DEFAULT 0 COMMENT '被点赞次数',
	`fans_counts` INT(8) NOT NULL DEFAULT 0 COMMENT '被关注数量',
	`follow_counts` INT(8) NOT NULL DEFAULT 0 COMMENT '关注数量',
	`location` VARCHAR(512) NOT NULL DEFAULT '' COMMENT '所在位置',
	`career` VARCHAR(512) NOT NULL DEFAULT '' COMMENT '职业',
	PRIMARY KEY (`cid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT '用户表';


CREATE TABLE IF NOT EXISTS `comments` (
	`commentid` int(11) NOT NULL COMMENT '评论表主键',
	`pid` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '评论的作品ID',
	`cid` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '评论人ID',
	`avatar` VARCHAR(512) COMMENT '评论人头像',
	`uname` VARCHAR(512) COMMENT '评论人名称',
	`created_at` VARCHAR(128) NOT NULL DEFAULT '' COMMENT '发表时间',
	`content` TEXT COMMENT '评论内容',
	`like_counts` INT(8) NOT NULL DEFAULT 0 COMMENT '被点赞次数',
	`reply` INT(8) NOT NULL DEFAULT 0 COMMENT '回复其他评论的ID，如果不是则为0',
	PRIMARY KEY (`commentid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT '评论表';


CREATE TABLE IF NOT EXISTS `copyrights` (
	`pcid` VARCHAR(32) NOT NULL COMMENT '主键，由pid_cid组成',
	`pid` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '对应作品表主键',
	`cid` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '对应作者表主键',
	`roles` VARCHAR(32)  COMMENT '担任角色',
	PRIMARY KEY (`pcid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT '著作权关系表';


CREATE TABLE IF NOT EXISTS `codes` (
	`code_id` BIGINT UNSIGNED AUTO_INCREMENT COMMENT '主键',
	`phone` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '手机号',
	`code` BIGINT UNSIGNED NOT NULL DEFAULT 0 COMMENT '验证码',
	`created_at` datetime NOT NULL COMMENT '发送时间',
	`ip` VARCHAR(32) NOT NULL DEFAULT '' COMMENT '请求发送验证码的IP',
	PRIMARY KEY (`code_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT '手机验证码表';

开始爬虫

#在myxpc.py中
import re
import scrapy
from xpc.items import PostItem

class MyxpcSpider(scrapy.Spider):
    name = 'myxpc'
    allowed_domains = ['xinpianchang.com']
    start_urls = ['https://www.xinpianchang.com/channel/index/sort-like?from=navigator']

    # 主页数据
    def parse(self, response, **kwargs):
        print('*' * 60)
        print(len(response.text))

        # 视频列表
        li_list = response.xpath('//div[@class="channel-con"]/ul[@class="video-list"]/li')

        for li in li_list:
            # 作品id
            pid = li.xpath('./@data-articleid').get()
            # 作品标题
            title = li.xpath('./div[@class="video-con"]/div[@class="video-con-top"]/a/p/text()').get()
            # 视频缩略图
            thumbnail = li.xpath('./a/img/@_src').get()
            # 作品类型
            category = li.xpath('./div[@class="video-con"]/div[@class="video-con-top"]/div[@class="new-cate"]/span[@class="fs_12 fw_300 c_b_9"]/text()').get()
            # 发表时间
            created_at = li.xpath('./a/div[@class="video-hover-con"]/p/text()').get()
            # 作品描述
            description = li.xpath('./a/div[@class="video-hover-con"]/div/text()').get()
            # 被点赞次数
            like_counts = li.xpath('./div[@class="video-con"]//span[@class="fw_300 c_b_9 icon-like"]/text()').get()

            # print(pid, title, thumbnail, category, created_at, description, like_counts)

            # item
            post_item = PostItem()
            post_item['pid'] = pid
            post_item['title'] = title
            post_item['thumbnail'] = thumbnail
            post_item['category'] = category

            post_item['created_at'] = created_at
            post_item['description'] = description
            post_item['like_counts'] = like_counts

            # 视频详情页
            post_url = 'https://www.xinpianchang.com/a%s?from=ArticleList' % pid
            # 请求详情页数据
            request = scrapy.Request(url=post_url, callback=self.post_detail)
            request.meta['post_item'] = post_item
            yield request

    # 视频详情页
    def post_detail(self, response):
        post_item = response.meta.get('post_item')

        # 播放次数
        play_counts = response.xpath('//i[@class="fs_12 fw_300 c_b_6 v-center play-counts"]/@data-curplaycounts').get()
        post_item['play_counts'] = play_counts

        # 视频
        # vid
        vid = re.findall('vid = "(.*?)"', response.text)[0]
        # print(vid)
        # 视频url
        video_url = 'https://mod-api.xinpianchang.com/mod/api/v2/media/%s?appKey=61a2f329348b3bf77' % vid
        # print(video_url)

        # 请求视频数据
        yield scrapy.Request(
            url=video_url,callback=self.vido_detail,meta={'post_item':post_item}
        )

    # 视频数据
    def vido_detail(self, response):
        post_item = response.meta.get('post_item')

        # json解析
        content = response.json()

        # 播放时长
        duration = content['data']['duration']
        # 视频预览图
        preview = content['data']['cover']
        # 视频链接
        video = content['data']['resource']['progressive'][0]['url']
        # 视频格式
        video_format = content['data']['resource']['progressive'][0]['mime']	

        # 爬视频
        # request = scrapy.Request(url=video, callback=self.mp4_detail)
        # request.meta['pid'] = post_item['pid']
        # yield request


        # item
        post_item['duration'] = duration
        post_item['preview'] = preview
        post_item['video'] = video
        post_item['video_format'] = video_format
        yield post_item



    # 视频mp4下载
    # def mp4_detail(self, response):
    #     pid = response.meta.get('pid')
    #     print("mp4_detail: ", response.body)
    #
    #     # 存视频
    #     filename = os.path.join(r'C:\Users\ijeff\Desktop\扣丁八期\爬虫_Day12_xpc爬虫项目上\code\xpc\xpc_video', pid+'.mp4')
    #     with open(filename, 'wb') as fp:
    #         fp.write(response.body)
    #         fp.flush()
    #
    #     print(f'存入视频{pid+".mp4"}成功')






#items.py中
from scrapy import Item, Field

class PostItem(Item):
    pid = Field()  # 作品表主键
    title = Field()  # 作品标题
    thumbnail = Field()  # 视频缩略图
    category = Field()  # 作品分类

    created_at = Field()  # 发表时间
    description = Field()  # 作品描述
    like_counts = Field()  # 被点赞次数

    duration = Field()  # 播放时长
    preview = Field()  # 视频预览图
    video = Field()  # 视频链接
    video_format = Field()  # 视频格式
    play_counts = Field()  # 播放次数





#pipelines.py中
import time
import pymysql
from itemadapter import ItemAdapter

class XpcPipeline:
    # 开启爬虫时: 连接MySQL
    def open_spider(self, spider):
        self.db = pymysql.connect(
            host='IP地址', port=3306,
            user='root', password='数据库密码',
            database='xpc_2020', charset='utf8'
        )
        self.cursor = self.db.cursor()

    # 关闭爬虫时: 关闭连接MySQL
    def close_spider(self, spider):
        self.cursor.close()
        self.db.close()

    # 处理数据
    def process_item(self, item, spider):

        # 将视频数据(post_item)存入到数据库
        print(item)
        sql = f'insert into posts values (' \
            f'"{item["pid"]}", ' \
            f'"{item["title"]}", ' \
            f'"{item["thumbnail"]}", ' \
            f'"{item["preview"]}", ' \
            f'"{item["video"]}", ' \
            f'"{item["video_format"]}", ' \
            f'"{item["category"]}", ' \
            f'"{item["duration"]}", ' \
            f'"{item["created_at"]}", ' \
            f'"{item["description"]}", ' \
            f'"{item["play_counts"]}", ' \
            f'"{item["like_counts"]}")'

        try:
            self.cursor.execute(sql)
            self.db.commit()
        except Exception as e:
            print(f'----- 插入失败: {item["title"]}, {e} -----')
        else:
            print('----- 插入成功: insert success! -----')
            time.sleep(1)

        return item

总结

爬虫重在找网站的规律,只能能找到固定规律,代码就那么几行。