Question

我目前正在建立我的第一个scrapy项目。目前我正在尝试从HTML表中提取数据。到目前为止，这是我的爬行蜘蛛：

import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from digikey.items import DigikeyItem
from scrapy.selector import Selector

class DigikeySpider(CrawlSpider):
    name = 'digikey'
    allowed_domains = ['digikey.com']
    start_urls = ['https://www.digikey.com/products/en/capacitors/aluminum-electrolytic-capacitors/58/page/3?stock=1']
    ['www.digikey.com/products/en/capacitors/aluminum-electrolytic-capacitors/58/page/4?stock=1']

    rules = (
        # Extract links matching 'category.php' (but not matching 'subsection.php')
        # and follow links from them (since no callback means follow=True by default).
        Rule(LinkExtractor(allow=('/products/en/capacitors/aluminum-electrolytic-capacitors/58/page/3?stock=1', ), deny=('subsection\.php', ))),
    )

    def parse_item(self, response):
        item = DigikeyItem()
        item['partnumber'] = response.xpath('//td[@class="tr-mfgPartNumber"]/a/span[@itemprop="name"]/text()').extract()
        item['manufacturer'] =  response.xpath('///td[6]/span/a/span/text()').extract()
        item['description'] = response.xpath('//td[@class="tr-description"]/text()').extract()
        item['quanity'] = response.xpath('//td[@class="tr-qtyAvailable ptable-param"]//text()').extract()
        item['price'] = response.xpath('//td[@class="tr-unitPrice ptable-param"]/text()').extract()
        item['minimumquanity'] = response.xpath('//td[@class="tr-minQty ptable-param"]/text()').extract()
        yield item

    parse_start_url = parse_item

它在www.digikey.com/products/en/capacitors/aluminum-electrolytic-capacitors/58/page/4?stock=1处刮擦表格。然后，它将所有数据导出到digikey.csv文件，但所有数据都在一个单元格中。 Csv file with scraped data in one cell

setting.py

BOT_NAME = 'digikey'

SPIDER_MODULES = ['digikey.spiders']
NEWSPIDER_MODULE = 'digikey.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = 'digikey ("Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36")'

# Obey robots.txt rules
ROBOTSTXT_OBEY = False

我希望一次一行地抓取信息，并使用与该部件号相关联的相应信息。

items.py

import scrapy


class DigikeyItem(scrapy.Item):
    partnumber = scrapy.Field()
    manufacturer = scrapy.Field()
    description = scrapy.Field()
    quanity= scrapy.Field()
    minimumquanity = scrapy.Field()
    price = scrapy.Field()
    pass

非常感谢任何帮助！

Answer 1

问题是你要将整个列加载到单个项目的每个字段中。我觉得你想要的是：

for row in response.css('table#productTable tbody tr'):
    item = DigikeyItem()
    item['partnumber'] = (row.css('.tr-mfgPartNumber [itemprop="name"]::text').extract_first() or '').strip()
    item['manufacturer'] =  (row.css('[itemprop="manufacture"] [itemprop="name"]::text').extract_first() or '').strip()
    item['description'] = (row.css('.tr-description::text').extract_first() or '').strip()
    item['quanity'] = (row.css('.tr-qtyAvailable::text').extract_first() or '').strip()
    item['price'] = (row.css('.tr-unitPrice::text').extract_first() or '').strip()
    item['minimumquanity'] = (row.css('.tr-minQty::text').extract_first() or '').strip()
    yield item

我改变了一些选择器以试图缩短它。顺便说一句，请避免我在这里使用的手动extract_first和strip重复（仅用于测试目的），并考虑使用Item Loaders，它应该更容易采取第一个和剥离/格式化所需的输出。

Scrapy Csv导出已在一个单元格中提取所有数据

1 个答案: