目录

1. 创建项⽬

2. 创建Spider

3. 创建Item

4. Spider

5.保存数据

    1. 命令保存（⽂件：csv ，json ...）

    2.管道保存

完整代码

目录结构

spider.py

items.py

pipelines.py

setting.py

run.py

• ⽬标⽹站：https://quotes.toscrape.com/
• 数据需求：

1. 名⾔
2.  名⼈
3. 标签

• 分析⽹站： 数据静态加载

1. 创建项⽬ scrapy startproject my_scrapy # 项⽬名

2. 创建Spider cd my_scrapy scrapy genspider spider baidu . com # 爬⾍⽂件名 域名

3. 创建Item Item是保存数据的容器 定义爬取数据结构

4. Spider

• 定义初始请求
• 定义解析数据

5.保存数据

    1. 命令保存（⽂件：csv ，json ...）                 scrapy crawl spider -o demo.csv

    2.管道保存

class MyScrapyPipeline:
    def process_item(self, item, spider):
        # 简单保存
        with open('demo2.txt','a',encoding= 'utf8') as f:
            f.write(item['author'] + 'n'+ item['text']  + 'nnn')


        return item

完整代码

目录结构

spider.py

import scrapy
from my_scrapy.items import MyScrapyItem

class SpiderSpider(scrapy.Spider):
    # 爬虫名称
    name = 'spider'
    # 域名限制，允许爬取的范围
    # allowed_domains = ['https://quotes.toscrape.com/']
    # 初始请求的页面
    start_urls = ['https://quotes.toscrape.com//']

    def parse(self, response):
        # text = response.text

        quotes = response.xpath('//div[@]')
        for quote in quotes :
            # 旧方法 get()为新方法
            # text = quote.xpath('./span[@class = "text"]/text()').extract_first()

            # 实例化对象
            item = MyScrapyItem()

            # 利用xpth进行爬取
            text = quote.xpath('./span[@class = "text"]/text()').get()
            author = quote.xpath('.//small[@]/text()').get()
            Tags = quote.xpath('.//a[@]/text()').getall()
            item['text'] = text
            item['author'] = author
            item['Tag'] = Tags

            # 迭代出去
            yield item

items.py

import scrapy


class MyScrapyItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    # 名言
    text = scrapy.Field()
    # 名人
    author = scrapy.Field()
    # 标签
    Tag = scrapy.Field()

pipelines.py

class MyScrapyPipeline:
    def process_item(self, item, spider):
        # 简单保存
        with open('demo2.txt','a',encoding= 'utf8') as f:
            f.write(item['author'] + 'n'+ item['text']  + 'nnn')


        return item

setting.py

ITEM_PIPELINES = {
   'my_scrapy.pipelines.MyScrapyPipeline': 300,
}

run.py

from scrapy import cmdline


cmdline.execute('scrapy crawl spider '.split())