2015-09-29 126 views
1

我無法弄清楚如何讓Scrapy抓取301重定向頁面。 當我添加Scrapy抓取301重定向頁面,但不抓取他們的數據

handle_httpstatus_list = [301,302]

日誌停止告訴我

2015-09-29 09:45:06 [scrapy] DEBUG: Crawled (301) <GET http://www.example.com/conditions-generales/> (referer: http://www.example.com/) 2015-09-29 09:45:07 [scrapy] DEBUG: Ignoring response <301 http://www.example.com/conditions-generales/>: HTTP status code is not handled or not allowed

但只抓取301個重定向頁面,從來沒有從他們身上刮下的數據(雖然它確實爲200 HTTP狀態代碼頁) 。

然後我得到:

2015-09-29 09:55:39 [scrapy] DEBUG: Crawled (301) <GET http://www.example.com/espace-annonceurs/> (referer: http://www.example.com/)

但從來沒有:

2015-09-29 09:55:39 [scrapy] DEBUG: Scraped from <301 http://www.example.com/espace-annonceurs/> 

我想刮http://www.example.com/espace-annonceurs/探微的方式我想如果它是一個200 HTTP狀態代碼。

我想我必須使用中間件,但我不知道如何做到這一點

謝謝您的幫助

+0

「從抄襲」當你屈服或返回回調的項目發生。如果您沒有獲得該日誌行,則您的回調沒有從30x響應中提取任何項目。檢查回調中會發生什麼情況:例如,您可以記錄每個包含狀態碼的響應URL,並檢查HTTP 301響應正文中包含的內容,如果您的scraping代碼在所有情況下均適用。 –

+0

回調函數是蜘蛛在規則中調用的函數嗎? rules = [Rule(LinkExtractor(),process_links ='fix_links',callback ='parse_url',follow = True)] – Sebi81

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對不起,我是scrapy的新手,我真的不明白它是如何工作的 當「爬行」發生時?這是否意味着該頁面正在被蜘蛛訪問?那麼爲什麼不只是從頁面上抓取數據呢?它依賴於http狀態碼嗎?我在哪裏可以看到依賴關係? – Sebi81

回答

0

我只是想與另一個網站,它在第一頁放棄由於它的問題。

這裏是日誌文件:

2015-09-29 12:28:03 [scrapy] INFO: Scrapy 1.0.3 started (bot: crawler) 
2015-09-29 12:28:03 [scrapy] INFO: Optional features available: ssl, http11, boto 
2015-09-29 12:28:03 [scrapy] INFO: Overridden settings: {'NEWSPIDER_MODULE': 'crawler.spiders', 'SPIDER_MODULES': ['crawler.spiders'], 'REDIRECT_ENABLED': False, 'LOG_FILE': '6.4.txt', 'BOT_NAME': 'crawler'} 
2015-09-29 12:28:04 [scrapy] INFO: Enabled extensions: CloseSpider, TelnetConsole, LogStats, CoreStats, SpiderState 
2015-09-29 12:28:05 [boto] DEBUG: Retrieving credentials from metadata server. 
2015-09-29 12:28:06 [boto] ERROR: Caught exception reading instance data 
Traceback (most recent call last): 
    File "C:\Anaconda\lib\site-packages\boto\utils.py", line 210, in retry_url 
    r = opener.open(req, timeout=timeout) 
    File "C:\Anaconda\lib\urllib2.py", line 431, in open 
    response = self._open(req, data) 
    File "C:\Anaconda\lib\urllib2.py", line 449, in _open 
    '_open', req) 
    File "C:\Anaconda\lib\urllib2.py", line 409, in _call_chain 
    result = func(*args) 
    File "C:\Anaconda\lib\urllib2.py", line 1227, in http_open 
    return self.do_open(httplib.HTTPConnection, req) 
    File "C:\Anaconda\lib\urllib2.py", line 1197, in do_open 
    raise URLError(err) 
URLError: <urlopen error timed out> 
2015-09-29 12:28:06 [boto] ERROR: Unable to read instance data, giving up 
2015-09-29 12:28:06 [scrapy] INFO: Enabled downloader middlewares: HttpAuthMiddleware, DownloadTimeoutMiddleware, UserAgentMiddleware, RetryMiddleware, DefaultHeadersMiddleware, MetaRefreshMiddleware, HttpCompressionMiddleware, CookiesMiddleware, ChunkedTransferMiddleware, DownloaderStats 
2015-09-29 12:28:06 [scrapy] INFO: Enabled spider middlewares: HttpErrorMiddleware, OffsiteMiddleware, RefererMiddleware, UrlLengthMiddleware, DepthMiddleware 
2015-09-29 12:28:06 [scrapy] INFO: Enabled item pipelines: CrawlerPipeline 
2015-09-29 12:28:06 [scrapy] INFO: Spider opened 
2015-09-29 12:28:06 [scrapy] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min) 
2015-09-29 12:28:06 [scrapy] DEBUG: Telnet console listening on 127.0.0.1:6023 
2015-09-29 12:28:07 [scrapy] DEBUG: Crawled (301) <GET http://www.dronestory.com/> (referer: None) 
2015-09-29 12:28:07 [scrapy] INFO: Closing spider (finished) 
2015-09-29 12:28:07 [scrapy] INFO: Dumping Scrapy stats: 
{'downloader/request_bytes': 216, 
'downloader/request_count': 1, 
'downloader/request_method_count/GET': 1, 
'downloader/response_bytes': 471, 
'downloader/response_count': 1, 
'downloader/response_status_count/301': 1, 
'finish_reason': 'finished', 
'finish_time': datetime.datetime(2015, 9, 29, 10, 28, 7, 774000), 
'log_count/DEBUG': 3, 
'log_count/ERROR': 2, 
'log_count/INFO': 7, 
'response_received_count': 1, 
'scheduler/dequeued': 1, 
'scheduler/dequeued/memory': 1, 
'scheduler/enqueued': 1, 
'scheduler/enqueued/memory': 1, 
'start_time': datetime.datetime(2015, 9, 29, 10, 28, 6, 285000)} 
2015-09-29 12:28:07 [scrapy] INFO: Spider closed (finished)