实际上我想将与特定网站相关的所有数据(文本、hrefs、图像)存储到一个文件夹中。为了做到这一点,我需要将该文件夹的路径传递给所有不同的解析函数。所以我想像这样在 scrapy.Request()
中将此路径作为额外的 kwargs 传递:
yield scrapy.Request(url=url,dont_filter=True, callback=self.parse,errback = self.errback_function,kwargs={'path': '/path/to_folder'})
但它给出错误 TypeError: __init__() got an unexpected keyword argument 'kwargs'
如何将该路径传递给下一个函数?
最佳答案
对于任何可能需要它的人......
您可以像这样使用 meta
参数来传递额外的参数...
yield scrapy.Request(url=url,dont_filter=True,
callback=self.parse,errback = self.errback_function, meta={'filepath': filepath})
更新:
Request.cb_kwargs
was introduced in version 1.7. Prior to that, using Request.meta was recommended for passing information around callbacks. After 1.7, Request.cb_kwargs became the preferred way for handling user information, leaving Request.meta for communication with components like middlewares and extensions.
因此对于 >= 1.7 的版本,以下是可行的:
request = scrapy.Request('http://www.example.com/index.html', callback=self.parse_page2, cb_kwargs=dict(main_url=response.url))
关于python - 将额外的参数传递给 scrapy.Request(),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/46579130/