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scrapy 抓取拉勾网数据

时间:2015-09-23 13:25:25      阅读:344      评论:0      收藏:0      [点我收藏+]

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其实很简单,却因为一些小问题,折腾不少时间,简要记录一下,以备后需。

>> scrapy startproject lagou
>> cd lagou
>> scrapy gen lagou_jd www.lagou.com

定义item

在items.py中继续完善定义:

# -*- 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 LagouItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    job_title = scrapy.Field()
    job_description = scrapy.Field()
    job_url = scrapy.Field()

完善爬虫

 

# -*- coding: utf-8 -*-
from scrapy.selector import Selector
from scrapy.contrib.spiders import CrawlSpider,Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from lagou.items import LagouItem
import codecs,re
from bs4 import BeautifulSoup
import sys
reload(sys)
sys.setdefaultencoding(utf-8)

class LagoujdSpider(CrawlSpider):
    name = "lagoujd"
    allowed_domains = ["lagou.com"]
    start_urls = (
        http://www.lagou.com/jobs/787409.html,
    )

    rules = [
        Rule(SgmlLinkExtractor(allow =rjobs/\d+\.html),callback = parse_lagou,follow=True),
    ]
    


    def parse_lagou(self, response): # 主要改名,不能使用默认的parse!
        self.SPLIT_DEMAND = re.compile(u(要求|资格|条件)[::;\r\n]?)
        self.SPLIT_LINE = re.compile(u[;;。\r\n])
        self.DEMAND = re.compile(u具备|熟悉|具有|熟练|掌握|良好的|能够|丰富的|以上学历|优秀的|有深入研究|有很强的|工作
经历|工作经验|善于|懂得|优先|不少于|不超过|喜欢|较强的.{2,8}能力|相关专业|相关学历|开发经验|实习经验|\d年以上)

        item = LagouItem()
        sel = Selector(response)
        try:
            item["job_title"] =sel.xpath("//title/text()").extract()[0].split(-)[0][:-2].strip()
            job_des = sel.xpath(//*[@id="container"]/div[1]/div[1]/dl[1]/dd[2]).extract()[0]
            job_des = BeautifulSoup(job_des).get_text()
            item["job_description"] = self.get_demand(job_des)
            item["job_url"] = response.url
            print item[job_title]
        except Exception,e:
            print e
       # if item.has_key("job_title") and item.has_key("job_description"):
       #     with codecs.open("./output/"+item["job_title"].strip()+".txt",‘a‘,‘utf-8‘) as fw:
       #         fw.write(item["job_description"])
       #         print item["job_title"],"done"
        
        
        return item

    def get_demand(self,jdstr):

        res = []
        if self.SPLIT_DEMAND.search(jdstr):
            pos = self.SPLIT_DEMAND.search(jdstr).span()[1]
            linelist =self.SPLIT_LINE.split(jdstr[pos:])
            for line in linelist:
                if len(line)<5:continue
                if re.match(\d,line.strip()):
                    res.append(line)
                elif self.DEMAND.search(line):
                    res.append(line)
                else:
                    break
        return \n.join(res)

存储抓取的数据为json格式

# -*- 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
import codecs

class LagouPipeline(object):
    def __init__(self):
        self.file = codecs.open(lagou_jd.json,w,encoding=utf-8)


    def process_item(self, item, spider):
        line = json.dumps(dict(item),ensure_ascii=False)+\n
        self.file.write(line)
        return item
    

    def spider_closed(self,spider):
        self.file.close()

在setttings.py 中注册pipline

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

# Scrapy settings for lagou project
#
# For simplicity, this file contains only the most important settings by
# default. All the other settings are documented here:
#
#     http://doc.scrapy.org/en/latest/topics/settings.html
#

BOT_NAME = lagou

SPIDER_MODULES = [lagou.spiders]
NEWSPIDER_MODULE = lagou.spiders

ITEM_PIPELINES = {
    lagou.pipelines.LagouPipeline:300,
}

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

运行,各种抓!!!

>> scrapy crawl lagou_jd
或者 
>> scrapy crawl lagou_jd -o item.json -t json

demo:

jkmiao@jkmiao-ipin:~/workplace/spiders/lagou$ more lagou_jd.json 
{"job_url": "http://www.lagou.com/jobs/1102051.html", "job_description": "1、具有2年以上互联网产品经验,优秀的交互设计
能力,对产品设计有极高的要求,追求极致的用户体验 2、善于观察与学习,具有宽广的视野、对于整体产品规划有自己的见解和理念 
3、有优秀缜密的逻辑与思维能力,良好的协调能力、分析、计划及项目管理能力,具备良好的团队精神,沟通能力强 4、熟练使用 Axu
re 、 visio 、 office 等软件\n 5、有成熟的O2O平台类产品设计经验者优先", "job_title": "产品经理"}
{"job_url": "http://www.lagou.com/jobs/917776.html", "job_description": "1、有2年以上互联网产品规划和体验设计相关经验,
熟悉互联网或软件产品整体实现过程,包括从需求分析到产品发布\n2、有完整策划至少2个以上成功、目前尚在运营中的互联网产品设
计案例\n3、能通过数据分析等系统性方法深刻理解用户需求并予以满足\n4、执行力强,善于组织协调并推动项目进展\n5、对工作充满
热情,富有创新精神,能承受较大的工作压力\n6、有良好的学习能力、良好的沟通能力和团队合作精神,出色的组织能力", "job_titl
e": "产品经理"}

新建脚本文件preprocess.py,进一步预处理

# coding=utf-8

import simplejson as json
import re
import sys,codecs
reload(sys)
sys.setdefaultencoding(utf-8)
from collections import defaultdict
from simhash import Simhash


def clean_text(fname=./lagou_jd.json):
    res = defaultdict(str)
    i=1
    for line in codecs.open(fname):
        jd = json.loads(line)
        if not re.match(u\d,jd[job_description].strip()) or len(jd["job_description"])<8 or len(jd["job_title"])<2:
continue
        if re.search(u公司简介|职业描述|福利|职责|描述,jd[job_description]):continue
        if res.has_key(jd["job_title"]) and Simhash(jd[job_title]).distance(Simhash(res[jd[job_title]]))<0.1:
            jd[job_title] = res[jd[job_title]]
        jd["job_description"] = re.sub(ur"\xa0","",jd["job_description"].decode(utf-8))
        res[jd[job_title]] = res.get(jd[job_title],‘‘)+\n+\n.join(map(lambda x:re.sub("\s+|\t"," ",x).strip(),(
filter(lambda x:len(x)>3 and re.match(r\d,x),re.split(u[;:。\r\n],jd[job_description].strip())))))
       # print ‘\n\n===\n\n‘,jd[‘job_title‘],‘\t‘,res[jd[‘job_title‘]]
        i += 1
        if i%100==0:
            print i

    print i,"done"
    print len(res)
    json.dump(res,open(lagou_jd_clean.json,w))


def get_jds(fname=./lagou_jd_clean.json):
    res = json.load(codecs.open(fname))
    i = 1
    for k,v in res.iteritems():
        if len(k)>5:
            print k,v
            print "\n\n===\n\n"
            i += 1
            if i>5:
                break


if __name__ == "__main__":
    clean_text()
    get_jds()

 

scrapy 抓取拉勾网数据

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原文地址:http://www.cnblogs.com/jkmiao/p/4831843.html

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