scrapy 抓取拉勾网数据

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 =r'jobs/\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

#!/usr/bin/env python
# coding=utf-8 import simplejson as json
import re
import sys,codecs
from collections import defaultdict
reload(sys)
sys.setdefaultencoding('utf-8')
from simhash import Simhash def get_top_jobname(jobname,namelist):
namelist = sorted(namelist)
dis = [ (Simhash(jobname).distance(Simhash(other)),other) for other in namelist ]
dis = sorted(dis,key=lambda x:x[0])
return dis[0] def clean_text(fname='./lagou_jd.json'):
SPLIT_LINE = re.compile(u'[;;。\r\n]')
FILTER_DEMAND = re.compile(u'薪酬|待遇|待遇|福利|加入我们|职责|你|成为')
res = defaultdict(str)
# fw1 = codecs.open('demands.txt','w','utf-8')
# fw2 = codecs.open('duty.txt','w','utf-8')
i=1
for line in codecs.open(fname):
jd = json.loads(line)
if not re.match(u'\d',jd['job_demand'].strip()) or len(jd["job_demand"])<8 or len(
jd["job_title"])<2:continue
if FILTER_DEMAND.search(jd['job_demand']):continue if len(res.keys())>0:
top_job = get_top_jobname(jd['job_title'],res.keys())
else:
top_job = tuple((0,jd['job_title'])) if top_job[0]<7: # 如果距离<,就归并为一个职业
if top_job[0]>4:
print top_job[0],top_job[1],jd['job_title']
jd['job_title'] = top_job[1] jd["job_demand"] = re.sub(ur"\xa0","",jd["job_demand"].decode('utf-8'))
# jd["job_duty"] = re.sub(ur"\xa0","",jd["job_duty"].decode('utf-8'))
jd["sum_request"] = re.sub(ur"\xa0|\s+"," ",jd["sum_request"].decode('utf-8')) demand = [ x.strip() for x in jd['job_demand'].split() if len(x)>5]
if len(demand)<3: continue
# duty = [x.strip() for x in jd['job_duty'].split() if len(x)>5]
sum_request = [ x.strip() for x in jd['sum_request'].split() if len(x)>3 ] jd['job_demand'] = '\n'.join(demand)
# jd['job_duty'] = '\n'.join(duty) # fw1.write('\n'.join(demand)+'\n')
# fw2.write('\n'.join(duty)+'\n') if not res.has_key(jd["job_title"]):
res[jd["job_title"]] = ' '.join(sum_request)+'\n'+jd["job_demand"].strip()
else:
res[jd['job_title']] += '\n'+'\n'.join(SPLIT_LINE.split(jd['job_demand']))
i += 1
if i%100==0:
print i
print i,"done"
print len(res)
json.dump(res,codecs.open('./lagou_jd_clean.json','w','utf-8')) def get_jds(fname='./lagou_jd_clean.json'):
res = json.load(codecs.open(fname))
i = 1
for k,v in res.iteritems():
if len(v.split())<16:
print i,k
print v
print "\n============\n"
i += 1
if i>20:
break if __name__ == "__main__":
clean_text()
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