我是scrapy的新手（这是我的第一次），而且我遇到了一些问题。整个想法是从网站中删除数据并使用python将其存储在Sqlite数据库中。
我在使用Python 2.7中的scrapy删除数据时被阻止了。我遇到了这个问题，只更改IP无法正常工作，所以我想知道如何将scrapy使用的cookie删除到另一台计算机（IP地址）的全新运行中。
刮刀工作正常，但我提出了太多要求（我的坏），现在网站阻止了我。我尝试使用scrapy-polipo-tor并且在defpoxy之后，没有成功。所以我决定建立一个AWS ec2实例并从中运行，因为它将拥有不同的IP地址。我甚至使用Windows实例（我在这里运行mac OSX）。问题是我一直被重定向到网站说我被阻止的页面，即使使用不同的IP。
我的settings.py就像：
BOT_NAME = 'ScrapMSOMJournal'
SPIDER_MODULES = ['ScrapMSOMJournal.spiders']
NEWSPIDER_MODULE = 'ScrapMSOMJournal.spiders'
# Obey robots.txt rules
ROBOTSTXT_OBEY = False
CONCURRENT_REQUESTS_PER_DOMAIN = 1
RETRY_TIMES = 0
COOKIES_ENABLED = False
我的spider.py如下:(不是实际的文件名）
# -*- coding: utf-8 -*-
from scrapy import Request, Spider
class PaperInfoSpider(Spider):
name = "infos"
with open("/Users/pedroveronezi/BIA656_PaperProbability/links_ids.txt", "rt") as f:
start_urls = [url.strip() for url in f.readlines()]
# start_urls = [
# 'http://pubsonline.informs.org/doi/abs/10.1287/msom.2014.0498',
# ]
custom_settings = {
'ROBOTSTXT_OBEY=False': False,
'ITEM_PIPELINES': {
'ScrapMSOMJournal.pipelines.SQLiteStorePipelineInfos': 300,
},
'DOWNLOAD_DELAY': 40000.0,
'COOKIES_ENABLED': False,
}
# response.css('.tocArticleDoi a::text')[0].extract()
def parse(self, response):
authors = []
for paper in response.css('.contribDegrees'):
authors.append(paper.css('.header::text').extract_first())
affiliations = []
for paper in response.css('.contribAff::text'):
affiliations.append(paper.extract())
dates_received = []
dates_accepted = []
dates_published = []
for paper in response.css('.dates'):
temp = paper.css('div::text').extract_first()
temp = str(temp)
start_rec = temp.find('Received:')
received_date = temp[start_rec:].split('\n')[0]
start_acc = temp.find('Accepted:')
accepted_date = temp[start_acc:].split('\n')[0]
start_pub = temp.find('Published Online:')
published_date = temp[start_pub:].split('\n')[0]
if start_rec != -1:
dates_received.append(str(received_date))
elif start_acc != -1:
dates_accepted.append(str(accepted_date))
elif start_pub != -1:
dates_published.append(str(published_date))
keywords = []
for paper in response.css('.abstractKeywords , .abstractKeywords .title'):
keywords.append(paper.css('a::text').extract())
title = str(response.css('.chaptertitle::text').extract_first())
title = title.split()
title = ' '.join(title)
try:
abstract = str(response.css('.abstractInFull p::text').extract_first())
except UnicodeEncodeError:
abstract = ''
keywords_string = []
for key in keywords:
keywords_string.append('|'.join(key))
link_complete = str(response.css('.publicationContentDoi a::text').extract_first())
temp = link_complete.split('/')
link_id = str(temp[len(temp)-1])
keywords_string = '|'.join(keywords_string)
date_received = ''
for date in dates_received:
date_received = str(date).split(':')[1]
date_accepted = ''
for date in dates_accepted:
date_accepted = str(date).split(':')[1]
date_published = ''
for date in dates_published:
date_published = str(date).split(':')[1]
dict_rtn = {'authors': '|'.join(authors),
'affiliations': '|'.join(affiliations),
'keywords': keywords_string,
'date_received': date_received,
'date_accepted': date_accepted,
'date_published': date_published,
'title': title,
'abstract': abstract,
'link_id': link_id,
}
return dict_rtn
在我使用的任何计算机中，我都会收到相同的输出消息：
2017-03-20 19:38:55 [scrapy.utils.log] INFO: Scrapy 1.3.0 started (bot: ScrapMSOMJournal)
2017-03-20 19:38:55 [scrapy.utils.log] INFO: Overridden settings: {'NEWSPIDER_MODULE': 'ScrapMSOMJournal.spiders', 'CONCURRENT_REQUESTS_PER_DOMAIN': 1, 'SPIDER_MODULES': ['ScrapMSOMJournal.spiders'], 'RETRY_TIMES': 0, 'BOT_NAME': 'ScrapMSOMJournal', 'COOKIES_ENABLED': False}
2017-03-20 19:38:55 [scrapy.middleware] INFO: Enabled extensions:
['scrapy.extensions.logstats.LogStats',
'scrapy.extensions.telnet.TelnetConsole',
'scrapy.extensions.corestats.CoreStats']
2017-03-20 19:38:55 [scrapy.middleware] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
'scrapy.downloadermiddlewares.retry.RetryMiddleware',
'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware',
'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware',
'scrapy.downloadermiddlewares.redirect.RedirectMiddleware',
'scrapy.downloadermiddlewares.stats.DownloaderStats']
2017-03-20 19:38:55 [scrapy.middleware] INFO: Enabled spider middlewares:
['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware',
'scrapy.spidermiddlewares.offsite.OffsiteMiddleware',
'scrapy.spidermiddlewares.referer.RefererMiddleware',
'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware',
'scrapy.spidermiddlewares.depth.DepthMiddleware']
2017-03-20 19:38:55 [scrapy.middleware] INFO: Enabled item pipelines:
['ScrapMSOMJournal.pipelines.SQLiteStorePipelineInfos']
2017-03-20 19:38:55 [scrapy.core.engine] INFO: Spider opened
2017-03-20 19:38:55 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2017-03-20 19:38:55 [scrapy.extensions.telnet] DEBUG: Telnet console listening on 127.0.0.1:6023
2017-03-20 19:38:56 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (302) to <GET http://pubsonline.informs.org/doi/abs/10.1287/msom.2015.0518?cookieSet=1> from <GET http://pubsonline.informs.org/doi/abs/10.1287/msom.2015.0518>