Scrapy管道以正确的格式导出csv文件

Question

我根据以下alexce的建议做了改进。我需要的是如下图所示。但是，每行/每行应该是一个评论：日期，评级，评论文本和链接。

我需要让物品处理器处理每页的每次审核 目前，TakeFirst（）仅对页面进行第一次审核。所以10页，我只有10行/行，如下图所示。

蜘蛛代码如下：

  <intercept-url pattern="/users" method="POST" access="ROLE_ANONYMOUS"/>
  <intercept-url pattern="/users" method="OPTIONS" access="ROLE_ANONYMOUS"/>

Answer 1

我从头开始，以下蜘蛛应该用

运行

scrapy crawl amazon -t csv -o Amazon.csv --loglevel=INFO

以便用电子表格打开CSV文件为我显示

希望这会有所帮助： - ）

import scrapy

class AmazonItem(scrapy.Item):
    rating = scrapy.Field()
    date = scrapy.Field()
    review = scrapy.Field()
    link = scrapy.Field()

class AmazonSpider(scrapy.Spider):

    name = "amazon"
    allowed_domains = ['amazon.co.uk']
    start_urls = ['http://www.amazon.co.uk/product-reviews/B0042EU3A2/' ]

    def parse(self, response):

        for sel in response.xpath('//table[@id="productReviews"]//tr/td/div'):

            item = AmazonItem()
            item['rating'] = sel.xpath('./div/span/span/span/text()').extract()
            item['date'] = sel.xpath('./div/span/nobr/text()').extract()
            item['review'] = sel.xpath('./div[@class="reviewText"]/text()').extract()
            item['link'] = sel.xpath('.//a[contains(.,"Permalink")]/@href').extract()
            yield item

        xpath_Next_Page = './/table[@id="productReviews"]/following::*//span[@class="paging"]/a[contains(.,"Next")]/@href'
        if response.xpath(xpath_Next_Page):
            url_Next_Page = response.xpath(xpath_Next_Page).extract()[0]
            request = scrapy.Request(url_Next_Page, callback=self.parse)
            yield request

Answer 2

如果使用-t csv（由Frank在评论中提出）由于某些原因不适合您，您可以始终直接使用内置CsvItemExporter in the custom pipeline，例如：

from scrapy import signals
from scrapy.contrib.exporter import CsvItemExporter


class AmazonPipeline(object):
    @classmethod
    def from_crawler(cls, crawler):
        pipeline = cls()
        crawler.signals.connect(pipeline.spider_opened, signals.spider_opened)
        crawler.signals.connect(pipeline.spider_closed, signals.spider_closed)
        return pipeline

    def spider_opened(self, spider):
        self.file = open('output.csv', 'w+b')
        self.exporter = CsvItemExporter(self.file)
        self.exporter.start_exporting()

    def spider_closed(self, spider):
        self.exporter.finish_exporting()
        self.file.close()

    def process_item(self, item, spider):
        self.exporter.export_item(item)
        return item

您需要添加到ITEM_PIPELINES：

ITEM_PIPELINES = {
    'amazon.pipelines.AmazonPipeline': 300
}

另外，我会使用带有输入和输出处理器的Item Loader来加入评论文本并用空格替换新行。创建一个ItemLoader类：

from scrapy.contrib.loader import ItemLoader
from scrapy.contrib.loader.processor import TakeFirst, Join, MapCompose


class AmazonItemLoader(ItemLoader):
    default_output_processor = TakeFirst()

    review_in = MapCompose(lambda x: x.replace("\n", " "))
    review_out = Join()

然后，用它来构建Item：

def parse(self, response):
    for sel in response.xpath('//*[@id="productReviews"]//tr/td[1]'):
        loader = AmazonItemLoader(item=AmazonItem(), selector=sel)

        loader.add_xpath('rating', './/div/div[2]/span[1]/span/@title')
        loader.add_xpath('date', './/div/div[2]/span[2]/nobr/text()')
        loader.add_xpath('review', './/div/div[6]/text()')
        loader.add_xpath('link', './/div/div[7]/div[2]/div/div[1]/span[3]/a/@href')

        yield loader.load_item()