python学习

Python学习八十八天:引入ItemLoader和Item的预

2019-05-20  本文已影响10人  暖A暖

1.引入ItemLoader

class XkdItemLoader(ItemLoader):
    default_output_processor = TakeFirst()

2.修改spider,让itemloader完成素定位和元素解析

def parse_analyse(self, response):
        # 构建loader
        xkd_itemload = MyItemLoader(item=XkdDribbbleSpiderItem(), response=response)
        image_url = response.meta.get('a_image_url')
        # 通过loader定位元素和解析元素
        xkd_itemload.add_css('title', "[role='article'] header h1")
        # 注意这里传递的是一个列表
        xkd_itemload.add_value('image_url', [image_url])
        xkd_itemload.add_value('url', response.url)
        xkd_itemload.add_value('url_id', get_md5(response.url))
        xkd_itemload.add_css('date', 'p span.date::text')
        # 解析元素之后返回item
        xkd_item = xkd_itemload.load_item()
        # 将item返回
        yield xkd_item

3.修改item数据模型

from scrapy.loader.processors import TakeFirst, MapCompose
from datetime import datetime
def str_to_date(str_date):
    str_date = str_date.strip()
    date = datetime.strptime(str_date, '%b %d, %Y').date()
    return date.strftime('%Y-%m-%d')
class XkdDribbbleSpiderItem(scrapy.Item):
    title = scrapy.Field()
    image_url = scrapy.Field(
        output_processor = MapCompose(lambda value: value)
    )
    date = scrapy.Field(
        input_processor = MapCompose(str_to_date)
    )
    image_path = scrapy.Field()
    url = scrapy.Field()
    url_id = scrapy.Field()

参考:https://www.9xkd.com/user/plan-view.html?id=1979020352

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