scrapy-案例：腾讯招聘网自动翻页采集

• 创建一个新的爬虫：

scrapy genspider tencent "tencent.com"

• 编写items.py

获取职位名称、详细信息、

class TencentItem(scrapy.Item):
    # define the fields for your item here like:
    jobTitle = scrapy.Field()
    jobCategories = scrapy.Field()
    number = scrapy.Field()
    location = scrapy.Field()
    releasetime = scrapy.Field()

编写tencent.py

# -*- coding: utf-8 -*-
import re


import scrapy
from Tencent import items


class MytencentSpider(scrapy.Spider):
    name = 'myTencent'
    allowed_domains = ['hr.tencent.com']
    start_urls = ['https://hr.tencent.com/position.php?lid=2218&start=0#a']


    def parse(self, response):
        for data in response.xpath("//tr[@class=\"even\"] | //tr[@class=\"odd\"]"):


            item = items.TencentItem()
            item["jobTitle"] = data.xpath("./td[1]/a/text()")[0].extract()
            item["jobLink"] = data.xpath("./td[1]/a/@href")[0].extract()
            item["jobCategories"] = data.xpath("./td[1]/a/text()")[0].extract()
            item["number"] = data.xpath("./td[2]/text()")[0].extract()
            item["location"] = data.xpath("./td[3]/text()")[0].extract()
            item["releasetime"] = data.xpath("./td[4]/text()")[0].extract()
            yield item


            for i in range(1, 200):
                newurl = "https://hr.tencent.com/position.php?lid=2218&start=%d#a" % (i*10)
                yield scrapy.Request(newurl, callback=self.parse)

编写pipeline.py文件

class TencentPipeline(object):
    def __init__(self):
        self.file = open("tencent.txt", "w", encoding="utf-8")


    def process_item(self, item, spider):
        line = str(item) + "\r\n"
        self.file.write(line)
        self.file.flush()
        return item


    def __del__(self):
        self.file.close()

在 setting.py 里设置ITEM_PIPELINES

ITEM_PIPELINES = {
"mySpider.pipelines.TencentJsonPipeline":300
}

执行爬虫：

scrapy crawl tencent