Python Scrapy中yield Request的理解

最近在看《learn scrapy》中的关于爬虫的部分，对于parse中的yield Request用法不是很理解，现在总结下。

</pre><pre name="code" class="html"><pre name="code" class="python" style="font-size:24px;">def parse(self, response):
<span style="white-space:pre">	</span># Get the next index URLs and yield Requests
<span style="white-space:pre">	</span>next_selector = response.xpath('//*[contains(@class,'
<span style="white-space:pre">					</span>'"next")]//@href')
<span style="white-space:pre">	</span>for url in next_selector.extract():
<span style="white-space:pre">		</span>yield Request(urlparse.urljoin(response.url, url))
<span style="white-space:pre">	</span># Get item URLs and yield Requests
<span style="white-space:pre">	</span>item_selector = response.xpath('//*[@itemprop="url"]/@href')
<span style="white-space:pre">	</span>for url in item_selector.extract():
<span style="white-space:pre">		</span>yield Request(urlparse.urljoin(response.url, url),
<span style="white-space:pre">			</span>      callback=self.parse_item)

</pre><pre code_snippet_id="1710126" snippet_file_name="blog_20160607_3_196221" name="code" class="python" style="font-size:24px;">parse相当于是一个迭代器，这个迭代器有两个部分组成，

<span style="font-size:24px;">一个是</span><span style="font-size:18px;"><strong><span style="font-family: Arial, Helvetica, sans-serif;">yield </span><span style="font-family: Arial, Helvetica, sans-serif;">Request(urlparse.urljoin(response.url, url))，主要是下一页的的链接</span></strong></span>

<span style="font-family: Arial, Helvetica, sans-serif;"><span style="font-size:18px;">另一个是</span></span><span style="font-family: Arial, Helvetica, sans-serif;"><span style="font-size:18px;"><strong>yield Request(urlparse.urljoin(response.url, url),</strong></span></span><strong style="font-size:18px; font-family: Arial, Helvetica, sans-serif;">callback=self.parse_item)页面中其他链接</strong><span style="font-family: Arial, Helvetica, sans-serif;"><span style="font-size:18px;"></span></span><pre name="code" class="python"><strong>
</strong>

<strong>处理request的下载器相当于遍历了两个列表，遍历遵从深度优先的策略，即先第一个迭代器中的选某一页，在到第二个迭代器中</strong>

<strong>处理对应页的全部链接。可以理解为如下图</strong>

<strong><img src="data:image/png;base64,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" alt="" />
</strong>

<strong>
</strong>

关于如何改变深度优先策略可以参看Request参数设置。

<span style="font-size:24px;"></span><dt id="scrapy.http.Request" style="box-sizing: border-box; font-weight: bold; display: inline-block; margin: 0px 0px 6px; font-size: 14.4px; color: rgb(41, 128, 185); border-top-width: 3px; border-top-style: solid; border-top-color: rgb(106, 176, 222); padding: 6px; position: relative; font-family: Lato, proxima-nova, 'Helvetica Neue', Arial, sans-serif; background: rgb(231, 242, 250);"><span class="property" style="box-sizing: border-box; display: inline-block; padding-right: 8px;">class</span><code class="descclassname" style="box-sizing: border-box; font-family: Consolas, 'Andale Mono WT', 'Andale Mono', 'Lucida Console', 'Lucida Sans Typewriter', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Liberation Mono', 'Nimbus Mono L', Monaco, 'Courier New', Courier, monospace; font-size: 14.4px; white-space: nowrap; max-width: 100%; border: none; padding: 0px; color: rgb(0, 0, 0); overflow-x: auto; background: transparent;">scrapy.http.</code><code class="descname" style="box-sizing: border-box; font-family: Consolas, 'Andale Mono WT', 'Andale Mono', 'Lucida Console', 'Lucida Sans Typewriter', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Liberation Mono', 'Nimbus Mono L', Monaco, 'Courier New', Courier, monospace; font-size: 14.4px; white-space: nowrap; max-width: 100%; border: none; padding: 0px; color: rgb(0, 0, 0); overflow-x: auto; background: transparent;">Request</code><span class="sig-paren" style="box-sizing: border-box;">(</span><span style="box-sizing: border-box;">url</span><span class="optional" style="box-sizing: border-box; display: inline-block; padding: 0px 4px; color: rgb(0, 0, 0);">[</span>, <span style="box-sizing: border-box;">callback</span>, <span style="box-sizing: border-box;">method='GET'</span>, <span style="box-sizing: border-box;">headers</span>, <span style="box-sizing: border-box;">body</span>, <span style="box-sizing: border-box;">cookies</span>, <span style="box-sizing: border-box;">meta</span>, <span style="box-sizing: border-box;">encoding='utf-8'</span>, <span style="box-sizing: border-box;">priority=0</span>, <span style="box-sizing: border-box;">dont_filter=False</span>, <span style="box-sizing: border-box;">errback</span><span class="optional" style="box-sizing: border-box; display: inline-block; padding: 0px 4px; color: rgb(0, 0, 0);">]</span><span class="sig-paren" style="box-sizing: border-box;">)</span></dt><span style="color: rgb(64, 64, 64); font-family: Lato, proxima-nova, 'Helvetica Neue', Arial, sans-serif; font-size: 16px; background-color: rgb(252, 252, 252);"></span><dd style="box-sizing: border-box; margin: 0px 0px 12px 24px; color: rgb(64, 64, 64); font-family: Lato, proxima-nova, 'Helvetica Neue', Arial, sans-serif; font-size: 16px; background-color: rgb(252, 252, 252);"><p style="box-sizing: border-box; line-height: 24px; margin-top: 0px; margin-bottom: 12px !important;">一个 <a target=_blank class="reference internal" href="http://scrapy-chs.readthedocs.io/zh_CN/latest/topics/request-response.html#scrapy.http.Request" title="scrapy.http.Request" style="box-sizing: border-box; color: rgb(155, 89, 182); text-decoration: none; cursor: pointer;"><code class="xref py py-class docutils literal" style="box-sizing: border-box; font-family: Consolas, 'Andale Mono WT', 'Andale Mono', 'Lucida Console', 'Lucida Sans Typewriter', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Liberation Mono', 'Nimbus Mono L', Monaco, 'Courier New', Courier, monospace; font-size: 12px; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(64, 64, 64); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">Request</span></code></a> 对象代表一个HTTP请求，一般来讲， HTTP请求是由Spider产生并被Downloader处理进而生成一个 <a target=_blank class="reference internal" href="http://scrapy-chs.readthedocs.io/zh_CN/latest/topics/request-response.html#scrapy.http.Response" title="scrapy.http.Response" style="box-sizing: border-box; color: rgb(155, 89, 182); text-decoration: none; cursor: pointer;"><code class="xref py py-class docutils literal" style="box-sizing: border-box; font-family: Consolas, 'Andale Mono WT', 'Andale Mono', 'Lucida Console', 'Lucida Sans Typewriter', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Liberation Mono', 'Nimbus Mono L', Monaco, 'Courier New', Courier, monospace; font-size: 12px; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(64, 64, 64); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">Response</span></code></a>。</p><table class="docutils field-list " frame="void" rules="none" style="box-sizing: border-box; border-collapse: collapse; border-spacing: 0px; margin-bottom: 24px; empty-cells: show; border: none;"><colgroup style="box-sizing: border-box;"><col class="field-name" style="box-sizing: border-box; padding-right: 10px; white-space: nowrap;" /><col class="field-body" style="box-sizing: border-box; padding-left: 0px;" /></colgroup><tbody valign="top" style="box-sizing: border-box;"><tr class="field-odd field" style="box-sizing: border-box;"><th class="field-name" style="box-sizing: border-box; font-size: 14.4px; margin: 0px; overflow: visible; padding: 8px 10px 8px 16px; white-space: nowrap; border-left-width: 0px;">参数:</th><td class="field-body" style="box-sizing: border-box; vertical-align: middle; margin: 0px; overflow: visible; padding: 5px 16px 8px 0px; border-bottom-width: 0px; border-style: none; border-color: initial;"><ul class="first last simple" style="box-sizing: border-box; margin: 0px 0px 24px; padding: 0px; line-height: 24px;"><li style="box-sizing: border-box; list-style: disc; margin-left: 24px; background-color: transparent;"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box;">url</span> (<span style="box-sizing: border-box;">string</span>) – 请求的URL</span></li><li style="box-sizing: border-box; list-style: disc; margin-left: 24px;"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box; background-color: transparent;">callback</span> (<span style="box-sizing: border-box; background-color: transparent;">callable</span>) – the function that will be called with the response of this request (once its downloaded) as its first parameter. For more information see <a target=_blank class="reference internal" href="http://scrapy-chs.readthedocs.io/zh_CN/latest/topics/request-response.html#topics-request-response-ref-request-callback-arguments" style="box-sizing: border-box; color: rgb(155, 89, 182); text-decoration: none; cursor: pointer; background-color: transparent;">Passing additional data to callback functions</a> below.<span style="background-color: rgb(255, 255, 102);"> If a Request doesn’t specify a callback, the spider’s <a target=_blank class="reference internal" href="http://scrapy-chs.readthedocs.io/zh_CN/latest/topics/spiders.html#scrapy.spider.Spider.parse" title="scrapy.spider.Spider.parse" style="box-sizing: border-box; color: rgb(155, 89, 182); text-decoration: none; cursor: pointer;"><code class="xref py py-meth docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(64, 64, 64); overflow-x: auto; font-weight: bold; background-image: initial; background-attachment: initial; background-size: initial; background-origin: initial; background-clip: initial; background-position: initial; background-repeat: initial;"><span class="pre" style="box-sizing: border-box;">parse()</span></code></a>method will be used. Note that if exceptions are raised during processing,</span> errback is called instead.</span></li><li style="box-sizing: border-box; list-style: disc; margin-left: 24px; background-color: transparent;"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box;">method</span> (<span style="box-sizing: border-box;">string</span>) – 此请求的HTTP方法。默认是 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">'GET'</span></code>。</span></li><li style="box-sizing: border-box; list-style: disc; margin-left: 24px; background-color: transparent;"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box;">meta</span> (<span style="box-sizing: border-box;">dict</span>) – <a target=_blank class="reference internal" href="http://scrapy-chs.readthedocs.io/zh_CN/latest/topics/request-response.html#scrapy.http.Request.meta" title="scrapy.http.Request.meta" style="box-sizing: border-box; color: rgb(155, 89, 182); text-decoration: none; cursor: pointer;"><code class="xref py py-attr docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(64, 64, 64); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">Request.meta</span></code></a> 属性的初始值。 一旦此参数被设置， 通过参数传递的字典将会被浅拷贝。</span></li><li style="box-sizing: border-box; list-style: disc; margin-left: 24px; background-color: transparent;"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box;">body</span> (<span style="box-sizing: border-box;">str or unicode</span>) – request体。如果传进的参数是 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">unicode</span></code> 类型，将会被编码为 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">str</span></code>类型。如果 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">body</span></code> 参数没有给定，那么将会存储一个空的string类型，不管 这个参数是什么类型的，最终存储的都会是 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">str</span></code> 类型(永远不会是 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">unicode</span></code> 或是 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">None</span></code>)。</span></li><li style="box-sizing: border-box; list-style: disc; margin-left: 24px; background-color: transparent;"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box;">headers</span> (<span style="box-sizing: border-box;">dict</span>) – 请求头。字典值的类型可以是strings (for single valued headers) 或是 lists (for multi-valued headers)。如果传进的值是 <code class="docutils literal" style="box-sizing: border-box; white-space: nowrap; max-width: 100%; border: 1px solid rgb(225, 228, 229); padding: 2px 5px; color: rgb(231, 76, 60); overflow-x: auto; font-weight: bold; background: rgb(255, 255, 255);"><span class="pre" style="box-sizing: border-box;">None</span></code> ，那么HTTP头将不会被发送。</span></li><li style="box-sizing: border-box; list-style: disc; margin-left: 24px; background-color: transparent;"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box;">cookies</span> (<span style="box-sizing: border-box;">dict or list</span>) –</span><p style="box-sizing: border-box; line-height: 18px; margin-top: 0px; margin-bottom: 12px;"><span style="font-family:Times New Roman;font-size:18px;">请求的cookies。可以被设置成如下两种形式。</span></p><ol class="arabic" style="box-sizing: border-box; margin: 0px 0px 24px; padding: 0px;"><li style="box-sizing: border-box; list-style: decimal; margin-left: 24px;"><span style="font-family:Times New Roman;font-size:18px;">Using a dict:</span><div class="highlight-python" style="box-sizing: border-box; border: 1px solid rgb(225, 228, 229); padding: 0px; overflow-x: auto; margin: 1px 0px 24px; background: rgb(255, 255, 255);"><div class="highlight" style="box-sizing: border-box; border: none; padding: 0px; overflow-x: auto; margin: 0px; background: none;"><pre style="box-sizing: border-box; margin-top: 0px; margin-bottom: 0px; padding: 12px; line-height: 1.5; overflow: auto; color: rgb(64, 64, 64);"><span style="font-family:Times New Roman;font-size:18px;"><span style="box-sizing: border-box;"></span><span class="n" style="box-sizing: border-box; color: rgb(51, 51, 51);">request_with_cookies</span> <span class="o" style="box-sizing: border-box; font-weight: bold;">=</span> <span class="n" style="box-sizing: border-box; color: rgb(51, 51, 51);">Request</span><span class="p" style="box-sizing: border-box;">(</span><span class="n" style="box-sizing: border-box; color: rgb(51, 51, 51);">url</span><span class="o" style="box-sizing: border-box; font-weight: bold;">=</span><span class="s2" style="box-sizing: border-box; color: rgb(221, 17, 68);">"http://www.example.com"</span><span class="p" style="box-sizing: border-box;">,</span>
                               <span class="n" style="box-sizing: border-box; color: rgb(51, 51, 51);">cookies</span><span class="o" style="box-sizing: border-box; font-weight: bold;">=</span><span class="p" style="box-sizing: border-box;">{</span><span class="s1" style="box-sizing: border-box; color: rgb(221, 17, 68);">'currency'</span><span class="p" style="box-sizing: border-box;">:</span> <span class="s1" style="box-sizing: border-box; color: rgb(221, 17, 68);">'USD'</span><span class="p" style="box-sizing: border-box;">,</span> <span class="s1" style="box-sizing: border-box; color: rgb(221, 17, 68);">'country'</span><span class="p" style="box-sizing: border-box;">:</span> <span class="s1" style="box-sizing: border-box; color: rgb(221, 17, 68);">'UY'</span><span class="p" style="box-sizing: border-box;">})</span>
</span>

• Using a list of dicts:

  request_with_cookies = Request(url="http://www.example.com",
                                 cookies=[{'name': 'currency',
                                          'value': 'USD',
                                          'domain': 'example.com',
                                          'path': '/currency'}])
  

  The latter form allows for customizing the domain and path attributes of the cookie. This is only useful if the cookies are saved for later requests.

  When some site returns cookies (in a response) those are stored in the cookies for that domain and will be sent again in future requests. That’s the typical behaviour of any regular web browser. However, if, for some reason, you want to avoid merging with existing cookies you can instruct Scrapy to do so by setting thedont_merge_cookies key to True in the Request.meta.

  Example of request without merging cookies:

  request_with_cookies = Request(url="http://www.example.com",
                                 cookies={'currency': 'USD', 'country': 'UY'},
                                 meta={'dont_merge_cookies': True})
  

  For more info see CookiesMiddleware.

• encoding (string) – the encoding of this request (defaults to 'utf-8'). This encoding will be used to percent-encode the URL and to convert the body to str (if given as unicode).
• priority (int) –the priority of this request (defaults to 0). The priority is used by the scheduler to define the order used to process requests. Requests with a higher priority value will execute earlier. Negative values are allowed in order to indicate relatively low-priority.（设置页面爬取的优先级）
• dont_filter (boolean) – indicates that this request should not be filtered by the scheduler. This is used when you want to perform an identical request multiple times, to ignore the duplicates filter. Use it with care, or you will get into crawling loops. Default to False.（是否过滤重复链接）
• errback (callable) – a function that will be called if any exception was raised while processing the request. This includes pages that failed with 404 HTTP errors and such. It receives a Twisted Failure instance as first parameter.
  
  
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