在 scraper 中更改下一页 url 并加载

Changing next page url within scraper and loading

我试图进入网页的几个 urls 并跟随对下一个解析器的响应以在页面上获取另一组 urls。但是,从这个页面我需要抓取下一页 urls 但我想通过解析它然后将其作为下一页传递来操纵页面字符串来尝试这个。然而,抓取器爬行了,但 returns 什么都没有,甚至在我加载项目时最终解析器的输出也没有。

注意:我知道我可以通过 href 上的 if 语句轻松获取下一页。但是,我想尝试一些不同的东西,以防万一我不得不这样做。

这是我的刮板:

import scrapy
from scrapy.crawler import CrawlerProcess
from scrapy.item import Field
from itemloaders.processors import TakeFirst
from scrapy.loader import ItemLoader

class ZooplasItem(scrapy.Item):
    stuff = Field()
class ZooplasSpider(scrapy.Spider):
    name = 'zooplas'
    start_urls = ['https://www.zoopla.co.uk/overseas/']

    def start_request(self):
        for url in self.start_urls:
            yield scrapy.Request(
                url, 
                callback = self.parse, )

    def parse(self, response):
        container = response.xpath("//ul[@class='list-inline list-unstyled']//li")
        for links in container:
            urls = links.xpath(".//a/@href").get()
            yield response.follow(
                urls, callback = self.parse_places
            )
    def parse_places(self, response):
        container = response.xpath("//ul[@class='listing-results clearfix js-gtm-list']//li")
        for links in container:
            urls = links.xpath('(//div[@class="listing-results-right clearfix"]//a)[position() mod 3=1]//@href').get()
            yield response.follow(
                urls, callback = self.parse_listings
            )
        if response.xpath("//div[@id='content']//div//h1//text()").extract_first():
            page_on = response.xpath("//div[@id='content']//div//h1//text()").extract_first()
            name_of_page = page_on.split()[-1]
        else:
            pass
        if response.xpath("(//div[@class='paginate bg-muted'])//a[last()-1]//href").extract_first():
            url_link = response.xpath("(//div[@class='paginate bg-muted'])//a[last()-1]//href").extract_first()
            url_link = url_link.split('/')
            last_page = url_link[-1].split('=')[-1]
        else:
            pass
        all_pages = []
        for index, n in enumerate(url_link):
            for page_name, page_num in zip(name_of_page, last_page):

                if index == 5:
                    url_link[index] = page_name
                    testit='/'.join(url_link)
                    equal_split = testit.split('=')
                    for another_i, n2 in enumerate(equal_split):
                        if another_i == 3:
                            for range_val in range(1, page_num+1):
                                equal_split[another_i] = str(2)
                                all_pages.append('='.join(equal_split))


        for urls in all_pages:
            yield response.follow(
                urls, callback = self.parse.places
            )
    def parse_listings(self, response):
        loader = ItemLoader(ZooplasItem(), response=response)
        loader.default.output_processor = TakeFirst()
        loader.add_xpath("//article[@class='dp-sidebar-wrapper__summary']//h1//text()")
        yield loader.load_item()

process = CrawlerProcess(
    settings = {
        'FEED_URI':'zoopla.jl',
        'FEED_FORMAT':'jsonlines'
    }
)
process.crawl(ZooplasSpider)
process.start()

我知道抓取 url 的方法是有效的,因为我已经使用以下方法在单个 url 上尝试过:

url = "https://www.zoopla.co.uk/overseas/property/ireland/?new_homes=include&include_sold=false&pn=16"

list_of_stuff = ['Ireland', 'Germany','France']
pages_of_stuff = [5, 7, 6]

test = []
all_pages = []
j=0
for index, n in enumerate(a):
    for l_stuff, p_stuff in zip(list_of_stuff,pages_of_stuff):
        if index == 5:
            a[index] = l_stuff
            testit='/'.join(a)
            equal_split = testit.split('=')
            for another_i, n2 in enumerate(equal_split):
                if another_i == 3:
                    for range_val in range(1, p_stuff+1):
                        equal_split[another_i] = str(range_val)
                        print('='.join(equal_split))

与上面使用的相同,只是变量的变化。这会输出以下链接并且它们有效:

https://www.zoopla.co.uk/overseas/property/Ireland/?new_homes=include&include_sold=false&pn=1
https://www.zoopla.co.uk/overseas/property/Ireland/?new_homes=include&include_sold=false&pn=2
https://www.zoopla.co.uk/overseas/property/Ireland/?new_homes=include&include_sold=false&pn=3
https://www.zoopla.co.uk/overseas/property/Ireland/?new_homes=include&include_sold=false&pn=4
https://www.zoopla.co.uk/overseas/property/Ireland/?new_homes=include&include_sold=false&pn=5
https://www.zoopla.co.uk/overseas/property/Germany/?new_homes=include&include_sold=false&pn=1
https://www.zoopla.co.uk/overseas/property/Germany/?new_homes=include&include_sold=false&pn=2
...

您的用例适合使用 scrapy crawl 蜘蛛。您可以编写有关如何提取到属性的链接以及如何提取到下一页的链接的规则。我已将您的代码更改为使用爬网蜘蛛 class,并且已将您的 FEEDS 设置更改为使用推荐的设置。 FEED_URIFEED_FORMATscrapy 的较新版本中已弃用。

docs

阅读有关爬行蜘蛛的更多信息
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.crawler import CrawlerProcess
from scrapy.spiders import CrawlSpider, Rule
from scrapy.item import Field
from itemloaders.processors import TakeFirst
from scrapy.loader import ItemLoader

class ZooplasItem(scrapy.Item):
    stuff = Field()
    country = Field()

class ZooplasSpider(CrawlSpider):
    name = 'zooplas'
    allowed_domains = ['zoopla.co.uk']
    start_urls = ['https://www.zoopla.co.uk/overseas/']

    rules = (
        Rule(LinkExtractor(restrict_css='a.link-novisit'), follow=True), # follow the countries links
        Rule(LinkExtractor(restrict_css='div.paginate'), follow=True), # follow pagination links
        Rule(LinkExtractor(restrict_xpaths="//a[contains(@class,'listing-result')]"), callback='parse_item', follow=True), # follow the link to actual property listing
    )

    def parse_item(self, response):
        # here you are on the details page for each property
        loader = ItemLoader(ZooplasItem(), response=response)
        loader.default_output_processor = TakeFirst()
        loader.add_xpath("stuff", "//article[@class='dp-sidebar-wrapper__summary']//h1//text()")
        loader.add_xpath("country","//li[@class='ui-breadcrumbs__item'][3]/a/text()")
        yield loader.load_item()

if __name__ == '__main__':
    process = CrawlerProcess(
        settings = {
            'USER_AGENT': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.80 Safari/537.36',
            'FEEDS': {
                'zoopla.jl': {
                    'format': 'jsonlines'
                }
            }
        }
    )
    process.crawl(ZooplasSpider)
    process.start()