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使TCP连接超时:110:连接超时.在AWS上同时使用scrapy吗?

本文介绍了使TCP连接超时:110:连接超时.在AWS上同时使用scrapy吗?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

这是我的抓人代码.

import scrapy
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.selector import Selector
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from urlparse import urljoin
import pymongo
import time

class CompItem(scrapy.Item):
    text = scrapy.Field()
    name = scrapy.Field()
    date = scrapy.Field()
    url = scrapy.Field()
    rating = scrapy.Field()
    title = scrapy.Field()
    category = scrapy.Field()
    source = scrapy.Field()
    user_info = scrapy.Field()
    email = scrapy.Field()
    mobile_no = scrapy.Field()
    url_1 = scrapy.Field()
    model_name = scrapy.Field()

class criticspider(CrawlSpider):
    name = "flipkart_reviews"
    allowed_domains = ["flipkart.com"]
    urls = []
    connection = pymongo.MongoClient("mongodb://localhost")
    db = connection.electronics
    db_coll = db.flipkart_url
    d = []




    start_urls = ['http://www.flipkart.com/samsung-galaxy-note-4/product-reviews/ITMEYFHGFDB75R73?pid=MOBEYAW2RFHQG83F&type=top']#urls

    def parse_start_url(self, response):
        sites = response.css('div.review-list div[review-id]')
        items = []

        model_name = response.xpath('//h1[@class="title"]/text()').re(r'Reviews of (.*?)$')[0].strip().encode('ascii','ignore')
        for site in sites:
                item = CompItem()
                item['email'] = None
                item['mobile_no'] = int(0)
                item['category'] = None
                item['title'] = site.xpath('.//div[contains(@class,"line fk-font-normal bmargin5 dark-gray")]/strong/text()').extract()[0].encode('ascii','ignore')
                item['date'] = site.xpath('.//div[contains(@class, "date")]/text()').extract()[0].strip()
                item['model_name'] = model_name
                item['text'] = site.xpath('.//span[contains(@class,"review-text")]/text()').extract()[0]
                item['rating'] = float(site.xpath('.//div[contains(@class,"fk-stars")]/@title').extract()[0].split("stars")[0])
                item['name'] = ''.join(site.xpath('.//div[contains(@class, "date")]/preceding-sibling::*[1]//text()').extract()).strip()
                item["url"] = response.url
                item['source'] = int(3)
                yield item

这在本地计算机上运行正常，没有任何错误.但是当我将其放在AWS上时，它开始抛出错误.

This works fine on the local machine without any errors .But moment I put it on AWS it starts throwing me error.

2015-10-05 12:08:26 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2015-10-05 12:09:26 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2015-10-05 12:09:34 [scrapy] DEBUG: Retrying <GET http://www.flipkart.com/samsung-galaxy-note-4/product-reviews/ITMEYFHGFDB75R73?pid=MOBEYAW2RFHQG83F&type=top> (failed 1 times): TCP connection timed out: 110: Connection timed out.
2015-10-05 12:10:26 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2015-10-05 12:11:26 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2015-10-05 12:11:41 [scrapy] DEBUG: Retrying <GET http://www.flipkart.com/samsung-galaxy-note-4/product-reviews/ITMEYFHGFDB75R73?pid=MOBEYAW2RFHQG83F&type=top> (failed 2 times): TCP connection timed out: 110: Connection timed out.
2015-10-05 12:12:26 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2015-10-05 12:13:26 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2015-10-05 12:13:48 [scrapy] DEBUG: Gave up retrying <GET http://www.flipkart.com/samsung-galaxy-note-4/product-reviews/ITMEYFHGFDB75R73?pid=MOBEYAW2RFHQG83F&type=top> (failed 3 times): TCP connection timed out: 110: Connection timed out.
2015-10-05 12:13:48 [scrapy] ERROR: Error downloading <GET http://www.flipkart.com/samsung-galaxy-note-4/product-reviews/ITMEYFHGFDB75R73?pid=MOBEYAW2RFHQG83F&type=top>: TCP connection timed out: 110: Connection timed out.
2015-10-05 12:13:48 [scrapy] INFO: Closing spider (finished)
2015-10-05 12:13:48 [scrapy] INFO: Dumping Scrapy stats:
{'downloader/exception_count': 3,
 'downloader/exception_type_count/twisted.internet.error.TCPTimedOutError': 3,
 'downloader/request_bytes': 1119,
 'downloader/request_count': 3,
 'downloader/request_method_count/GET': 3,
 'finish_reason': 'finished',
 'finish_time': datetime.datetime(2015, 10, 5, 6, 43, 48, 727700),
 'log_count/DEBUG': 3,
 'log_count/ERROR': 1,
 'log_count/INFO': 13,
 'scheduler/dequeued': 3,
 'scheduler/dequeued/memory': 3,
 'scheduler/enqueued': 3,
 'scheduler/enqueued/memory': 3,
 'start_time': datetime.datetime(2015, 10, 5, 6, 37, 26, 877249)}
2015-10-05 12:13:48 [scrapy] INFO: Spider closed (finished)

之前的脚本运行良好.我尝试了各种方法-1.放置DOWNLOAD_DELAY2.在Google上搜索了相同的问题，并阅读了有关网络抓取礼节的信息.

Earlier the script was working very well.I have tried various methods -1. Putting up DOWNLOAD_DELAY2. Googled the same problem and read about Web scraping etiquette.

但是一切都是徒劳的.

推荐答案

您可以进行的检查很少.

There are few checks that you can.

  • 尝试在using请求模块或urllib中打开相同的URL.
  • 尝试执行页面的"wget".

如果上述步骤产生了结果，则表明我们正在获得回应，并且我们的Spider要求方式存在问题.我们现在可以为Spider做些什么了.

if above steps yields result it means we are getting response and there is problem with Our Spider way of requesting. Few things we can do w.r.t to Spider now.

  1. 增加设置文件中的DOWNLOAD_TIMEOUT.
  2. 增加RETRY_TIMES = 10
  3. 增加DOWNLOAD_DELAY
  4. 这是不得已的方法.网站重组的可能性很大，我们是机器人，并试图摆脱我们.在这种情况下，我们需要代理.使用此中间件[ https://github.com/aivarsk/scrapy-proxies Scrapy代理中间件] [1]
  1. Increase the DOWNLOAD_TIMEOUT in the settings file.
  2. Increase RETRY_TIMES = 10
  3. Increase the DOWNLOAD_DELAY
  4. This is the last resort. Chances are there that website has reorganized that we are bot and trying to get away with us. In this case we need to proxy. Use this middleware [https://github.com/aivarsk/scrapy-proxies Scrapy Proxy Middleware][1]

这篇关于使TCP连接超时:110:连接超时.在AWS上同时使用scrapy吗?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！

07-31 05:15
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