创建项目

scrapy startproject zhaoping

创建爬虫

cd zhaopingscrapy genspider hr zhaopingwang.com

目录结构

items.py

title = scrapy.Field() position = scrapy.Field() publish_date = scrapy.Field()

pipelines.py

from pymongo import MongoClientmongoclient = MongoClient(host='192.168.226.150',port=27017)collection = mongoclient['zhaoping']['hr']class TencentPipeline(object): def process_item(self, item, spider): print(item) # 需要转换为 dict collection.insert(dict(item)) return item

spiders/hr.py

def parse(self, response): # 不要第一个 和最后一个 tr_list = response.xpath("//table[@class='tablelist']/tr")[1:-1] for tr in tr_list: item = TencentItem() # xpath 从1 开始数起 item["title"] = tr.xpath("./td[1]/a/text()").extract_first() item["position"] = tr.xpath("./td[2]/text()").extract_first() item["publish_date"] = tr.xpath("./td[5]/text()").extract_first() yield item next_url = response.xpath("//a[@id='next']/@href").extract_first() # 构造url if next_url != "javascript:;": print(next_url) next_url = "https://hr.tencent.com/" + next_url yield scrapy.Request(url=next_url,callback=self.parse,)

就是这么简单，就获取到数据

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。