(2018-05-23.Python ZeroからOneへ)7、(爬虫類)scrapy-Redis実戦_1.7.6新浪網分類情報爬虫類の書き換えを試みる2
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既存の新浪網分類情報Scrapy爬虫類項目をRedisSpider類に基づくscrapy-redis分布式爬虫類項目に変更
注意:itemsデータはRedisデータベースに直接格納されます.この機能はscrapy-redisによって独自に実装されています.ローカルデータベースに直接格納などの追加処理を単独で行わない限りpipelinesを記述する必要はない.pyコード.
items.pyファイル
settings.pyファイル
spiders/sina.py
実行:
注意:itemsデータはRedisデータベースに直接格納されます.この機能はscrapy-redisによって独自に実装されています.ローカルデータベースに直接格納などの追加処理を単独で行わない限りpipelinesを記述する必要はない.pyコード.
items.pyファイル
# items.py
# -*- coding: utf-8 -*-
import scrapy
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
class SinaItem(scrapy.Item):
# url
parentTitle = scrapy.Field()
parentUrls = scrapy.Field()
# url
subTitle = scrapy.Field()
subUrls = scrapy.Field()
#
# subFilename = scrapy.Field()
#
sonUrls = scrapy.Field()
#
head = scrapy.Field()
content = scrapy.Field()
settings.pyファイル
SPIDER_MODULES = ['Sina.spiders']
NEWSPIDER_MODULE = 'Sina.spiders'
USER_AGENT = 'scrapy-redis (+https://github.com/rolando/scrapy-redis)'
DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"
SCHEDULER = "scrapy_redis.scheduler.Scheduler"
SCHEDULER_PERSIST = True
SCHEDULER_QUEUE_CLASS = "scrapy_redis.queue.SpiderPriorityQueue"
#SCHEDULER_QUEUE_CLASS = "scrapy_redis.queue.SpiderQueue"
#SCHEDULER_QUEUE_CLASS = "scrapy_redis.queue.SpiderStack"
ITEM_PIPELINES = {
# 'Sina.pipelines.SinaPipeline': 300,
'scrapy_redis.pipelines.RedisPipeline': 400,
}
LOG_LEVEL = 'DEBUG'
# Introduce an artifical delay to make use of parallelism. to speed up the
# crawl.
DOWNLOAD_DELAY = 1
REDIS_HOST = "192.168.13.26"
REDIS_PORT = 6379
spiders/sina.py
# sina.py
# -*- coding: utf-8 -*-
from Sina.items import SinaItem
from scrapy_redis.spiders import RedisSpider
#from scrapy.spiders import Spider
import scrapy
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
#class SinaSpider(Spider):
class SinaSpider(RedisSpider):
name= "sina"
redis_key = "sinaspider:start_urls"
#allowed_domains= ["sina.com.cn"]
#start_urls= [
# "http://news.sina.com.cn/guide/"
#]# urls
def __init__(self, *args, **kwargs):
domain = kwargs.pop('domain', '')
self.allowed_domains = filter(None, domain.split(','))
super(SinaSpider, self).__init__(*args, **kwargs)
def parse(self, response):
items= []
# url
parentUrls = response.xpath('//div[@id=\"tab01\"]/div/h3/a/@href').extract()
parentTitle = response.xpath("//div[@id=\"tab01\"]/div/h3/a/text()").extract()
# ur
subUrls = response.xpath('//div[@id=\"tab01\"]/div/ul/li/a/@href').extract()
subTitle = response.xpath('//div[@id=\"tab01\"]/div/ul/li/a/text()').extract()
#
for i in range(0, len(parentTitle)):
#
#parentFilename = "./Data/" + parentTitle[i]
# ,
#if(not os.path.exists(parentFilename)):
# os.makedirs(parentFilename)
#
for j in range(0, len(subUrls)):
item = SinaItem()
# title urls
item['parentTitle'] = parentTitle[i]
item['parentUrls'] = parentUrls[i]
# url url , True (sports.sina.com.cn sports.sina.com.cn/nba)
if_belong = subUrls[j].startswith(item['parentUrls'])
# ,
if(if_belong):
#subFilename =parentFilename + '/'+ subTitle[j]
# ,
#if(not os.path.exists(subFilename)):
# os.makedirs(subFilename)
# url、title filename
item['subUrls'] = subUrls[j]
item['subTitle'] =subTitle[j]
#item['subFilename'] = subFilename
items.append(item)
# url Request , Response meta second_parse
for item in items:
yield scrapy.Request( url = item['subUrls'], meta={'meta_1': item}, callback=self.second_parse)
# url,
def second_parse(self, response):
# Response meta
meta_1= response.meta['meta_1']
#
sonUrls = response.xpath('//a/@href').extract()
items= []
for i in range(0, len(sonUrls)):
# url 、 .shtml , True
if_belong = sonUrls[i].endswith('.shtml') and sonUrls[i].startswith(meta_1['parentUrls'])
# , item
if(if_belong):
item = SinaItem()
item['parentTitle'] =meta_1['parentTitle']
item['parentUrls'] =meta_1['parentUrls']
item['subUrls'] =meta_1['subUrls']
item['subTitle'] =meta_1['subTitle']
#item['subFilename'] = meta_1['subFilename']
item['sonUrls'] = sonUrls[i]
items.append(item)
# url Request , Response meta detail_parse
for item in items:
yield scrapy.Request(url=item['sonUrls'], meta={'meta_2':item}, callback = self.detail_parse)
# ,
def detail_parse(self, response):
item = response.meta['meta_2']
content = ""
head = response.xpath('//h1[@id=\"main_title\"]/text()').extract()
content_list = response.xpath('//div[@id=\"artibody\"]/p/text()').extract()
# p
for content_one in content_list:
content += content_one
item['head']= head[0] if len(head) > 0 else "NULL"
item['content']= content
yield item
実行:
slave :
scrapy runspider sina.py
Master :
redis-cli> lpush sinaspider:start_urls http://news.sina.com.cn/guide/