【Python】Scrapy爬虫实战（腾讯社会招聘职位检索）

爬虫网页：https://hr.tencent.com/position.php

应用Scrapy框架，具体步骤就不详细说明，前面几篇Scrapy有一定的介绍

因为要涉及到翻页，下面的代码使用拼接的方式获取url，应用在一些没办法提取下一页链接的情况下

直接写 if self.offset < 3610: 不太好，之后可能会发生变化，所以最好的方式就是获取下一页的url再发送请求。

yield 返回的就是需要管道处理的有用数据或者返回下一页的请求

#tencent.py
# -*- coding: utf-8 -*-
import scrapy
from Tencent.items import TencentItem

class TencentSpider(scrapy.Spider):
	name = 'tencent'
	allowed_domains = ['tencent.com']
	baseURL = "https://hr.tencent.com/position.php?&start="
	offset = 0
	start_urls = [baseURL + str(offset)]

	def parse(self, response):
		
		node_list = response.xpath("//tr[@class='even'] | //tr[@class='odd']")
		
		for node in node_list:
			item = TencentItem()
			item["positionName"] = node.xpath("./td[1]/a/text()").extract()[0]
			item["positionLink"] = "https://hr.tencent.com/"+ node.xpath("./td[1]/a/@href").extract()[0]
			if len(node.xpath("./td[2]/text()")):
				item["positionType"] = node.xpath("./td[2]/text()").extract()[0]
			else:
				item["positionType"] = ""
			item["peopleNumber"] = node.xpath("./td[3]/text()").extract()[0]
			item["workLocation"] = node.xpath("./td[4]/text()").extract()[0]
			item["publishTime"] = node.xpath("./td[5]/text()").extract()[0]
			
			yield item
		
		if self.offset < 3610:
			self.offset += 10
			url = self.baseURL + str(self.offset)
			yield scrapy.Request(url,callback = self.parse)

这是通过获取下一页链接的方法，就不管该工作岗位变成多少都可以爬取，替换上面的if语句

if len(response.xpath("//a[@class='noactive' and @id='next']"))==0:
        url = response.xpath("//div[@class='pagenav']/a[@id='next']/@href").extract()[0]
        yield scrapy.Request("https://hr.tencent.com/"+url,callback = self.parse)

#items.py
# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html

import scrapy


class TencentItem(scrapy.Item):
	#职位名称
	positionName = scrapy.Field()

	#职位详情的链接
	positionLink = scrapy.Field()

	#职位类别
	positionType = scrapy.Field()

	#招聘人数
	peopleNumber = scrapy.Field()

	#工作地点
	workLocation = scrapy.Field()

	#发布时间
	publishTime = scrapy.Field()

#pipelines.py
# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json

class TencentPipeline(object):
	def __init__(self):
		self.f = open("tencent.json","w",encoding = "utf-8")
	
	def process_item(self, item, spider):
		self.f.write(json.dumps(dict(item),ensure_ascii = False) + ",\n")
		return item
	
	def close_spider(self,spider):
		self.f.close()

#settings.py
# -*- coding: utf-8 -*-

BOT_NAME = 'Tencent'

SPIDER_MODULES = ['Tencent.spiders']
NEWSPIDER_MODULE = 'Tencent.spiders'

# Configure item pipelines
# See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
    'Tencent.pipelines.TencentPipeline': 300,
}

最后在cmd中输入

scrapy crawl tencent

会在当前目录下创建一个“tencent.json”,

爬取成功！

【Python】Scrapy爬虫实战（腾讯社会招聘职位检索）

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