2017-10-19 42 views
0

我目前正在构建我的第一个scrapy项目。目前我正在尝试从HTML表格中提取数据。这里是我的抓取蜘蛛至今:Scrapy Csv导出已将所有提取的数据提取到一个单元中

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 

它刮掉表中www.digikey.com/products/en/capacitors/aluminum-electrolytic-capacitors/58/page/4?stock=1。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 

我想在与该部分号码关联的相应信息的时间与一行刮下的信息。

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 

任何帮助,非常感谢!

回答

0

问题是,你正在加载到单个项目的每个领域的整个列。我觉得你想要的是这样的:

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 

我已经改变了一些选择器,以尽量缩短它。顺便说一句,请避免我在这里使用的手册extract_firststrip重复(仅用于测试目的),并考虑使用Item Loaders,应该更容易采取第一条和去除/格式化所需的输出。