Scrapy,从页面解析项目数据,然后按照链接获取其他项目数据

时间:2015-01-19 19:21:07

标签: python callback web-scraping scrapy

我在从第一页抓取数据后刮掉其他页面上的其他字段时遇到问题,例如:

这是我的代码:

from scrapy.selector import HtmlXPathSelector
from scrapy.http import HtmlResponse
from IMDB_Frompage.items import ImdbFrompageItem
from scrapy.http import Request
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor

URL = "http://www.imdb.com/search/title?count=100&ref_=nv_ch_mm_1&start=1&title_type=feature,tv_series,tv_movie"

class MySpider(CrawlSpider):
    name = "imdb"
    allowed_domains = ["imdb.com"]
    start_urls = [URL]
    DOWNLOAD_DELAY = 0.5

    rules = (Rule(SgmlLinkExtractor(allow=('100&ref'), restrict_xpaths=('//span[@class="pagination"]/a[contains(text(),"Next")]')), callback='parse_page', follow=True),)

    def parse_page(self, response):
        hxs = HtmlXPathSelector(response)
        item = ImdbFrompageItem()
        links = hxs.select("//td[@class='title']")
        items=[]
        for link in links:
            item = ImdbFrompageItem()
            item['link'] = link.select("a/@href").extract()[0]
            item['new_link'] ='http://www.imdb.com'+item['link']
            new_links = ''.join(item['new_link'])
            request = Request(new_links, callback=self.parsepage2)
            request.meta['item'] = item
            yield request
            yield item

    def parsepage2(self, response):
        item = response.meta['item']
        hxs = HtmlXPathSelector(response)
        blocks = hxs.select("//td[@id='overview-top']")
        for block in blocks:
            item = ImdbFrompageItem()
            item["title"] = block.select("h1[@class='header']/span[@itemprop='name']/text()").extract()
            item["year"] = block.select("h1[@class='header']/span[@class='nobr']").extract()
            item["description"] = block.select("p[@itemprop='description']/text()").extract()
            yield item

部分结果是:

{"link": , "new_link": }
{"link": , "new_link": }
{"link": , "new_link": }
{"link": , "new_link": }
....
{"link": , "new_link": }
{"title": , "description":}
{"title": , "description":}
next page
{"link": , "new_link": }
{"link": , "new_link": }
{"link": , "new_link": }
{"title": , "description":}

我的搜索结果不包含每个链接的所有数据({"标题":,"说明":})

但我想要这样的东西:

{"link": , "new_link": }
{"title": , "description":}
{"link": , "new_link": }
{"title": , "description":}
{"link": , "new_link": }
{"title": , "description":}
{"link": , "new_link": }
....
{"link": , "new_link": }
{"title": , "description":}
next page
{"link": , "new_link": }
{"title": , "description":}
{"link": , "new_link": }
{"title": , "description":}
{"link": , "new_link": }
{"title": , "description":}

关于我做错了什么建议?

1 个答案:

答案 0 :(得分:1)

Scrapy无法确保按顺序解析所有请求,无序

执行顺序可能是这样的:

  1. call parse1();
  2. call parse1();
  3. call parse1();
  4. call parse2();
  5. ....
  6. 也许你可以改变你的代码来获得你想要的东西:

    def parse_page(self, response):
        hxs = HtmlXPathSelector(response)
        links = hxs.select("//td[@class='title']")
        for link in links:
            new_links = ''.join('http://www.imdb.com'+item['link'])
            request = Request(new_links, callback=self.parsepage2)
            request.meta['item'] = item
            request.meta['link'] = link.select("a/@href").extract()[0]
            request.meta['new_link'] = new_links
            yield request
    
    
    def parsepage2(self, response):
        item = response.meta['item']
        hxs = HtmlXPathSelector(response)
        blocks = hxs.select("//td[@id='overview-top']")
        for block in blocks:
            item = ImdbFrompageItem()
            item["link"] = response["link"]
            item["new_link" = response["new_link"]
            item["title"] = block.select("h1[@class='header']/span[@itemprop='name']/text()").extract()
            item["year"] = block.select("h1[@class='header']/span[@class='nobr']").extract()
            item["description"] = block.select("p[@itemprop='description']/text()").extract()
    
            yield item
    

    所以你会得到这样的结果:

    {"link": , "new_link": ,"title": , "description":}
    

    我不确定我的代码可以直接运行,我只是激励你去实现你想要的东西。