Question

heya我正在使用scrapy创建一个项目，我需要从业务目录中删除业务详细信息http://directory.thesun.co.uk/find/uk/computer-repair
我面临的问题是：当我尝试抓取页面时，我的抓取工具只获取第一页的详细信息，而我还需要获取其余9页的详细信息;那就是10页...... 我显示在我的蜘蛛代码和items.py和设置.py之下请查看我的代码并帮助我解决它

蜘蛛代码::

from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from project2.items import Project2Item

class ProjectSpider(BaseSpider):
    name = "project2spider"
    allowed_domains = ["http://directory.thesun.co.uk/"]
    start_urls = [
        "http://directory.thesun.co.uk/find/uk/computer-repair"
    ]

    def parse(self, response):
        hxs = HtmlXPathSelector(response)
        sites = hxs.select('//div[@class="abTbl "]')
        items = []
        for site in sites:
            item = Project2Item()
            item['Catogory'] = site.select('span[@class="icListBusType"]/text()').extract()
            item['Bussiness_name'] = site.select('a/@title').extract()
            item['Description'] = site.select('span[last()]/text()').extract()
            item['Number'] = site.select('span[@class="searchInfoLabel"]/span/@id').extract()
            item['Web_url'] = site.select('span[@class="searchInfoLabel"]/a/@href').extract()
            item['adress_name'] = site.select('span[@class="searchInfoLabel"]/span/text()').extract()
            item['Photo_name'] = site.select('img/@alt').extract()
            item['Photo_path'] = site.select('img/@src').extract()
            items.append(item)
        return items

我的items.py代码如下::

from scrapy.item import Item, Field

class Project2Item(Item):
    Catogory = Field()
    Bussiness_name = Field()
    Description = Field()
    Number = Field()
    Web_url = Field()
    adress_name = Field()
    Photo_name = Field()
    Photo_path = Field()

我的settings.py是:::

BOT_NAME = 'project2'

SPIDER_MODULES = ['project2.spiders']
NEWSPIDER_MODULE = 'project2.spiders'

请帮忙我也从其他页面中提取细节......

Answer 1

如果您检查分页链接，它们看起来像这样：

http://directory.thesun.co.uk/find/uk/computer-repair/page/3 http://directory.thesun.co.uk/find/uk/computer-repair/page/2

您可以使用带有变量

的urllib2来循环页面

import urllib2
response = urllib2.urlopen('http://directory.thesun.co.uk/find/uk/computer-repair/page/' + page)
html = response.read()

并刮掉HTML。

Answer 2

以下是工作代码。滚动页面应该通过研究网站及其滚动结构并相应地应用它们。在这种情况下，网站给它“/ page / x”，其中x是页码。

from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from project2spider.items import Project2Item
from scrapy.http import Request

class ProjectSpider(BaseSpider):
    name = "project2spider"
    allowed_domains = ["http://directory.thesun.co.uk"]
    current_page_no = 1 
    start_urls = [ 
        "http://directory.thesun.co.uk/find/uk/computer-repair"
    ]   

    def get_next_url(self, fired_url):
        if '/page/' in fired_url:
            url, page_no = fired_url.rsplit('/page/', 1)
        else:
            if self.current_page_no != 1:
                #end of scroll
                return 
        self.current_page_no += 1
        return "http://directory.thesun.co.uk/find/uk/computer-repair/page/%s" % self.current_page_no

    def parse(self, response):
        fired_url = response.url
        hxs = HtmlXPathSelector(response)
        sites = hxs.select('//div[@class="abTbl "]')
        for site in sites:
            item = Project2Item()
            item['Catogory'] = site.select('span[@class="icListBusType"]/text()').extract()
            item['Bussiness_name'] = site.select('a/@title').extract()
            item['Description'] = site.select('span[last()]/text()').extract()
            item['Number'] = site.select('span[@class="searchInfoLabel"]/span/@id').extract()
            item['Web_url'] = site.select('span[@class="searchInfoLabel"]/a/@href').extract()
            item['adress_name'] = site.select('span[@class="searchInfoLabel"]/span/text()').extract()
            item['Photo_name'] = site.select('img/@alt').extract()
            item['Photo_path'] = site.select('img/@src').extract()
            yield item
        next_url = self.get_next_url(fired_url)
        if next_url:
            yield Request(next_url, self.parse, dont_filter=True)
`

Answer 3

我尝试了@nizam.sp的代码。发布，这只显示主页中的2条记录1条记录（最后一条记录）和第二页中的1条记录（随机记录），结束。

Scrapy只抓取第一页而不是其他页面

3 个答案: