(74)--用框架爬取腾讯招聘首页

# 用框架爬取腾讯招聘首页

# tencent.py

# -*- coding: utf-8 -*-
import scrapy
from ..items import JobItem
from datetime import datetime

class TencentSpider(scrapy.Spider):
    name = 'tencent'
    allowed_domains = ['tencent.com']
    start_urls = ['https://hr.tencent.com/position.php/']

    def parse(self, response):
        job_list = response.xpath('.//tr')[1:-2]
        for job in job_list:
            item = JobItem()
            p_name = job.xpath('.//td[1]/a/text()').extract()[0]

            p_type = job.xpath('.//td[2]/text()').extract()
            if p_type:
                p_type = p_type[0]
            else:
                p_type = ''

            p_number = job.xpath('.//td[3]/text()').extract()[0]
            p_location = job.xpath('.//td[4]/text()').extract()[0]
            p_date = job.xpath('.//td[5]/text()').extract()[0]

            item['p_name'] = p_name
            item['p_type'] = p_type
            item['p_number'] = p_number
            item['p_location'] = p_location
            item['p_date'] = p_date
            item['crawl_time'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
            item['spider_name'] = self.name
            yield item
            print(p_name,p_type,p_number,p_location,p_date)

        # 构造请求对象
        next_cls = response.xpath('.//a[@id="next"]/@class').extract_first()
        if next_cls is None:
            next_url = response.xpath('.//a[@id="next"]/@href').extract_first()
            next_url = 'https://hr.tencent.com/' + next_url

            # callback 回调函数 指定解析函数
            yield scrapy.Request(next_url,callback=self.parse)


# items.py

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

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

import scrapy


class Day11Item(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    pass


# 明确爬取数据项  类似django models
class JobItem(scrapy.Item):
    p_name = scrapy.Field()
    p_type = scrapy.Field()
    p_number = scrapy.Field()
    p_location = scrapy.Field()
    p_date = scrapy.Field()
    crawl_time = scrapy.Field()
    # 数据来源
    spider_name = 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: http://doc.scrapy.org/en/latest/topics/item-pipeline.html

import json

class Day11Pipeline(object):
    def process_item(self, item, spider):
        return item

class JobPipeline(object):
    def __init__(self):
        self.f = open('job.json','w',encoding='utf-8')
    def process_item(self,item, spider):
        self.f.write(json.dumps(dict(item),ensure_ascii=False) + '\n')

        return item

    # 爬虫结束调用
    def close_spider(self,spider):
        self.f.close()


# settings.py

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

# Scrapy settings for day11 project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     http://doc.scrapy.org/en/latest/topics/settings.html
#     http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#     http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'day11'

SPIDER_MODULES = ['day11.spiders']
NEWSPIDER_MODULE = 'day11.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'day11 (+http://www.yourdomain.com)'

# Obey robots.txt rules
ROBOTSTXT_OBEY = False

# Configure maximum concurrent requests performed by Scrapy (default: 16)
# CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
# DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

# Disable cookies (enabled by default)

# 默认是True
# COOKIES_ENABLED = False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False

# Override the default request headers:
# 默认请求头 生效范围 所有爬虫
DEFAULT_REQUEST_HEADERS = {
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  'Accept-Language': 'en'
}

# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'day11.middlewares.Day11SpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html

DOWNLOADER_MIDDLEWARES = {
    # 数字越小 越先经过 范围 1-999
   # 'day11.middlewares.MyCustomDownloaderMiddleware': 543,
}

# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
#    'scrapy.extensions.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html

ITEM_PIPELINES = {
   'day11.pipelines.JobPipeline': 1,
}

# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False

# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
# main.py

from scrapy import cmdline

cmdline.execute('scrapy crawl tencent'.split())

# 爬取部分结果如下:

2018-04-10 14:52:45 [scrapy.core.scraper] DEBUG: Scraped from <200 https://hr.tencent.com/position.php?&start=310>
{'crawl_time': '2018-04-10 14:52:45',
 'p_date': '2018-04-10',
 'p_location': '深圳',
 'p_name': '26564-游戏内容编辑(深圳)',
 'p_number': '2',
 'p_type': '内容编辑类',
 'spider_name': 'tencent'}
2018-04-10 14:52:45 [scrapy.core.scraper] DEBUG: Scraped from <200 https://hr.tencent.com/position.php?&start=310>
{'crawl_time': '2018-04-10 14:52:45',
 'p_date': '2018-04-10',
 'p_location': '深圳',
 'p_name': '15570-御龙在天端游运营商业化策划(深圳)',
 'p_number': '1',
 'p_type': '产品/项目类',
 'spider_name': 'tencent'}
15614-天刀3D角色设计师(上海) 设计类 1 上海 2018-04-10
26564-游戏内容编辑(深圳) 内容编辑类 2 深圳 2018-04-10
15570-御龙在天端游运营商业化策划(深圳) 产品/项目类 1 深圳 2018-04-10
2018-04-10 14:52:45 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://hr.tencent.com/position.php?&start=320#a> (referer: https://hr.tencent.com/position.php?&start=310)
MIG08-产品经理(上海) 产品/项目类 1 上海 2018-04-10
25663-腾讯云AI行业方案专家(北京) 产品/项目类 1 北京 2018-04-10
2018-04-10 14:52:45 [scrapy.core.scraper] DEBUG: Scraped from <200 https://hr.tencent.com/position.php?&start=320>
 
 

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转载自blog.csdn.net/fredreck1919/article/details/79881226