如果你获取一个pdf文件，它将被存储在内存中，但是如果pdf文件的大小不足以填满你的可用内存，则可以。

你可以将PDF保存在Spider回调中：

def parse_listing(self, response):
    # ... extract pdf urls
    for url in pdf_urls:
        yield Request(url, callback=self.save_pdf)

def save_pdf(self, response):
    path = self.get_path(response.url)
    with open(path, "wb") as f:
        f.write(response.body)

如果选择在管道中执行此操作：

# in the spider
def parse_pdf(self, response):
    i = MyItem()
    i['body'] = response.body
    i['url'] = response.url
    # you can add more metadata to the item
    return i

# in your pipeline
def process_item(self, item, spider):
    path = self.get_path(item['url'])
    with open(path, "wb") as f:
        f.write(item['body'])
    # remove body and add path as reference
    del item['body']
    item['path'] = path
    # let item be processed by other pipelines. ie. db store
    return item

[1]另一种方法可能是只存储pdf的url，并使用另一种方法来获取文档而不缓冲到内存中。（例如wget）