我使用scrapy来解析页面。该页面有子页面(类别),我还需要从中获取信息并将其合并到一个元素中(可能将其他页面中的信息保存为json),然后将其添加到csv中。我尝试过不同的选择,例如:
requests = scrapy.Request(url, meta={'meta_item': item}, callback=self.parse_category)
或
yield scrapy.Request(url, meta={'meta_item': item}, callback=self.parse_category)
但这两种方法都不是我想要的
例如,我从https://www.webscorer.com/findraces?pg=results(示例:https://www.webscorer.com/seriesresult?seriesid=211565)获取页面并从该页面获取信息。在此之后,我需要从category(例如:https://www.webscorer.com/seriesresult?seriesid=211565&gender=F)中获取更多信息: example并将它们全部放入csv。我现在的代码:
class WebscorerSpider(scrapy.Spider):
name = 'webscorer'
allowed_domains = ['webscorer.com']
def start_requests(self):
url = f'https://www.webscorer.com/findraces?pg=results'
yield scrapy.Request(url, callback=self.parse_page)
def parse_page(self, response, **kwargs):
for href in response.css('table.results-table tbody tr a::attr("href")').extract():
url = response.urljoin(href)
url = 'https://www.webscorer.com/seriesresult?seriesid=211565'
yield scrapy.Request(url, callback=self.parse)
def parse(self, response: Response, **kwargs):
latlong_match = re.search('lat=(.*)&lng=(.*)', response.css('span#FSrc::text').get())
item = dict()
for href in response.css('table.category-table .category-name').css('a::attr("href")').extract():
url = response.urljoin(href)
# requests = scrapy.Request(url, meta={'meta_item': item}, callback=self.parse_category)
yield scrapy.Request(url, meta={'meta_item': item}, callback=self.parse_category)
yield WebscorerEvent(name=response.css('h1.race-name::text').get(),
source_url=response.request.url,
sport_discipline=response.css('td.spec+td').css('strong::text').get(),
description=response.css('span.regnotes span::text').get(),
hero_image=response.css('p.associated-race-pic img::attr(src)').get(),
start_date=parse_webscorer_date(response.css('p.race-date::text').get()),
location={
"link": f"https://www.google.com/maps/search/?api=1&query={latlong_match.group(1)},{latlong_match.group(2)}",
"description": response.css('td.spec:contains("Location:")+td strong::text').get()})
def parse_category(self, response, **kwargs):
item = response.meta['meta_item']
# print(item)
item['winner'] = response.css('table.results-table .r-racername span::text').get()
return item
您确实
yield WebscorerEvent
,因此在获取下一页所需的数据之前,您已经“删除”了该项你可以这样做:
因此,通过这种方式,您最终只需要
yield
该项,以及所需的所有数据相关问题 更多 >
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