python爬虫scrapy框架爬智联招聘并保存mysql和本地json文件_智联招聘网是动态还是静态

本文声明：仅为了学习爬虫编写，请勿商业或恶意攻击网站，解释权归作者所有
由于智联招聘网的信息是动态加载的，所有对于新手比较难爬，重点在于找准确请求url
注意：前三个字段是同一个请求，address字段是详情页
实现效果：mysql

实现效果：json文件

#执行文件
# -*- coding: utf-8 -*-

import scrapy
import json
from zlzp.items import ZlzpItem
# 下面这个类urlencode，用于get路由拼接 a=1&b=2&c=3
from urllib.parse import urlencode

class ZlspiderSpider(scrapy.Spider):
    name = 'zlspider'
    # allowed_domains = ['sou.zhaopin.com']
    start_urls = ['https://fe-api.zhaopin.com/c/i/sou?']

    def start_requests(self):
        print("成伟无敌最俊朗。。。")
        for i in range(0,1001,90):
            data = {
                "start":i,
                "pageSize":90,
                "cityId":538,
                "kw":"python",
                "kt":3
            }
            for url in self.start_urls:
                new_url = url + urlencode(data)
                yield scrapy.Request(url=new_url,callback=self.parse)

    def parse(self, response):
        data = json.loads(response.text)
        res1 = data["data"]
        res2 = res1["results"]
        for i in res2:
            # 每个公司都实例化一个item
            item = ZlzpItem()
            item["position"] = i["jobName"]
            item["name"] = i["company"]["name"]
            item["salary"] = i["salary"]
            # 找到详情页的连接
            positionURL = i["positionURL"]
            yield scrapy.Request(url=positionURL,callback=self.detail,meta={"item":item})

    # 详情页
    def detail(self,response):
        item = response.meta["item"]
        address = response.xpath('//div[@class="job-address"]/div/span/text()').get()
        item["address"] = address
        # print(item)
        # 提交数据到管道
        yield item

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items.py文件

import scrapy


class ZlzpItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    position = scrapy.Field()
    name = scrapy.Field()
    salary = scrapy.Field()
    address = scrapy.Field()
    pass
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settings.py文件

USER_AGENT= "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36"
# Obey robots.txt rules
ROBOTSTXT_OBEY = False
# 开启管道
ITEM_PIPELINES = {
   'zlzp.pipelines.ZlzpPipeline': 300,
   'zlzp.pipelines.ZlzpJsonPipeline': 301,
}
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pipelines.py管道文件

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

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import pymysql
import json
import codecs
import os
# 保存到数据库
class ZlzpPipeline(object):
    conn = None
    mycursor = None
    # 打开数据库
    def open_spider(self,spider):
        print("数据库连接中。。。")
        # 连接数据库
        self.conn = pymysql.connect(host='localhost',user='root',password='root123',db="scrapy1",port=3306)
        # 获取游标
        self.mycursor = self.conn.cursor()
    # 执行爬虫
    def process_item(self, item, spider):
        position = item["position"]
        name = item["name"]
        salary = item["salary"]
        address = item["address"]
        # 插入记录
        sql = "insert into zhilian values (null,'%s','%s','%s','%s')"%(position,name,salary,address)
        # 执行
        self.mycursor.execute(sql)
        # 提交 执行的SQL才能生效
        self.conn.commit()
        print("正在插入%s的数据..."%name)
        return item
    # 关闭爬虫
    def close_spider(self,spider):
        print("断开数据库连接。。。")
        # 关闭游标
        self.mycursor.close()
        # 关闭数据库
        self.conn.close()

# 保存到json文件
class ZlzpJsonPipeline(object):
    f = None
    # 开始爬虫
    def open_spider(self,spider):
        # 如果不使用codecs.open打开文件，则close_spider里面的语句不生效，就是一个编码和解码的工具
        self.f = codecs.open("zlzp.json","w",encoding="utf-8")
        # 写入下面的字符串
        self.f.write('"list":[')
    # 执行爬虫
    def process_item(self,item,spider):
        # 想存储json文件，就得把item对象转变为字典对象
        res = dict(item)
        # 再把字典对象转换为json数据
        # 这是因为json.dumps 序列化时对中文默认使用的ascii编码.想输出真正的中文需要指定ensure_ascii=False：
        # 直接写入字典会保存，所以把字典形式的作为list列表的值字符串格式写入
        str = json.dumps(res,ensure_ascii=False)
        # 把数据写入json文件
        self.f.write(str + "," + "\n")
        return item
    # 关闭爬虫
    def close_spider(self,spider):
        #  SEEK_END 移动游标到文件最后，再向前偏移2个字符
        self.f.seek(-2,os.SEEK_END)
        # 移除偏移后的所有字符 移除了逗号,和一个换行符\n
        self.f.truncate()
        # 完成列表尾部
        self.f.write("]")
        # 关闭文件
        self.f.close()


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