学习笔记 scrapy 爬虫框架

1.创建一个scrapy项目
scrapy startproject myspider
2.生成一个爬虫
scrapy genspider itcast itcast.cn
3.提取数据
完善spider，使用xpath等方法
4.保存数据
pipeline中保存数据

class ItcastSpider(scrapy.Spider):
    name = 'itcast'   #爬虫名字
    allowed_domains = ['itcast.cn']   #允许爬取的范围
    start_urls = ['https://maoyan.com/board']    #最开始请求的url范围

ret1 = response.xpath("//div[@class='maincon']//h2/text()").extract() 
extract解释：提取所有的文字信息。

cd +文件名：进入到项目文件内。
tree：查看树。
scrapy crawl itcast：启动爬虫。
dir：查看当前目录中的文件和文件夹；

itcast.py文件

①

import scrapy
class ItcastSpider(scrapy.Spider):
    name = 'itcast'
    allowed_domains = ['itcast.cn']
    start_urls = ['https://www.itcast.cn/channel/teacher.shtml']

    def parse(self, response):
        #处理start_urls地址对应的响应
        ret1 = response.xpath("//div[@class='maincon']//h2/text()").extract()
        print(ret1)

②

import scrapy
class ItcastSpider(scrapy.Spider):
    name = 'itcast'
    allowed_domains = ['itcast.cn']
    start_urls = ['https://www.itcast.cn/channel/teacher.shtml']

    def parse(self, response):
        #处理start_urls地址对应的响应
        #ret1 = response.xpath("//div[@class='maincon']//h2/text()").extract()
        #print(ret1)
        #分组
        li_list = response.xpath("//div[@class='maincon']//li")
        for li in li_list:
            item = {}
            item["name"] = li.xpath(".//h2/text()").extract()[0]
            item["title"] = li.xpath(".//span/text()").extract()[0]
            #item["入职时间"] = li.xpath(".//h3/text()").extract()
            print(item)