python之crawlscrapy爬取某集团招聘信息以及招聘详情

针对这种招聘信息，使用crawlscrapy很适合。

1、settings.py

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

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

BOT_NAME = 'gosuncn'

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

LOG_LEVEL="WARNING"
LOG_FILE="./gxx.log"
# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'gosuncn (+http://www.yourdomain.com)'

# Obey robots.txt rules
ROBOTSTXT_OBEY = True

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

# Configure a delay for requests for the same website (default: 0)
# See https://doc.scrapy.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)
#COOKIES_ENABLED = False

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

# Override the default request headers:
#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 https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'gosuncn.middlewares.GosuncnSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'gosuncn.middlewares.GosuncnDownloaderMiddleware': 543,
#}

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

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

# Enable and configure the AutoThrottle extension (disabled by default)
# See https://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 https://doc.scrapy.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'

2、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 logging
import re
logger = logging.getLogger(__name__)
class GosuncnPipeline(object):
    def process_item(self, item, spider):
        """
        数据处理在pipelines中进行
        :param item: 
        :param spider: 
        :return: 
        """
        item["job_responsible"] = re.sub(r"<p>\r\n                    ","",item["job_responsible"])
        item["job_responsible"] = re.sub(r"\r\n                </p>", "", item["job_responsible"])
        item["job_responsible"] = re.sub(r"(<br>{1,2})", "", item["job_responsible"])
        item["job_responsible"] = re.sub(r"\t", "", item["job_responsible"])
        logger.warning(item)
        print(item)
        return item

3、gxx.py

# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule

import re
import logging
logger = logging.getLogger(__name__)
class GxxSpider(CrawlSpider):

    name = 'gxx'
    allowed_domains = ['gosuncn.zhiye.com']
    start_urls = ['https://gosuncn.zhiye.com/social/?PageIndex=1']

    rules = (
        Rule(LinkExtractor(allow=r'/zpdetail/\d+\?PageIndex=\d'), callback='parse_item',), #获取详情页信息
        Rule(LinkExtractor(allow=r'/social/\?PageIndex=\d+'),  follow=True), #翻页
    )

    def parse_item(self, response):
        item = {}
        item["job_name"] = response.xpath("//div[@class='boxSupertitle']/span/text()").extract_first() #工作名
        ul_list = response.xpath("//div[@class='xiangqingcontain']/ul[1]")
        for ul in ul_list:
            item["recuirt_type"] = ul.xpath("./li[2]/text()").extract_first()
            item["recuirt_type"] = re.sub("\r\n                   ", "", item["recuirt_type"])#招聘类型
            item["recuirt_type"] = re.sub("\r\n                ", "", item["recuirt_type"])
            item["job_type"] = ul.xpath("./li[4]/text()").extract_first()
            item["job_type"] = re.sub("\r\n                   ", "", item["job_type"])
            item["job_type"] = re.sub("\r\n                ", "", item["job_type"]) #工作类型
            item["pay_money"] = ul.xpath("./li[6]/text()").extract_first() #薪资
            item["pay_money"] = re.sub("\r\n                   ", "", item["pay_money"])  # 招聘类型
            item["pay_money"] = re.sub("\r\n                ", "", item["pay_money"])

            item["publish_time"] = re.findall("20\d+\-\d+\-\d+", response.body.decode())[0]  # 发布时间
            item["recuirt_num"] = ul.xpath("./li[8]/text()").extract_first() #招聘人数
            item["recuirt_num"] = re.sub("\r\n                   ", "", item["recuirt_num"])  # 招聘类型
            item["recuirt_num"] = re.sub("\r\n                ", "", item["recuirt_num"])

            item["job_place"] = response.xpath("//div[@class='xiangqingcontain']/ul[3]/li[2]/text()").extract_first()
            item["job_place"] = re.sub("\r\n\r\n                    ", "", item["job_place"])  # 招聘类型
            item["job_place"] = re.sub("\r\n                ", "", item["job_place"])
            #logger.warning(item)
            #print(item)

        item["job_responsible"] = response.xpath("//div[@class='xiangqingtext']/p[2]").extract_first()

        yield item
            # for li in li_list:
            #     li.xpath("")


        #item["publish_time"] =response.xpath("/html/body/div/div[3]/div/div[1]/div/div/div/div[2]/ul[2]/li[2]/text()").extract_first()
        #
        #item["publish_time"] = re.findall("20\d+\-\d+\-\d+",response.body.decode())[0] #发布时间

        #item['domain_id'] = response.xpath('//input[@id="sid"]/@value').get()
        #item['name'] = response.xpath('//div[@id="name"]').get()
        #item['description'] = response.xpath('//div[@id="description"]').get()
        #print(item)
        #return item