scrapy 如何在webscraping python选择器中指定搜索

khbbv19g 于 8个月前发布在 Python

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我的目标是从这个网站获取数据：https://pokemondb.net/pokedex/all
我正在努力获得能力，它们必须是这样的：
URL名称效果描述
但其中一些信息在另一页。任何提示我如何才能得到它们？

我需要访问每个技能的链接并收集信息：*

我的代码现在看起来像这样：*

import scrapy

class PokeSpider(scrapy.Spider):
name = 'pokespider'
start_urls = ['https://pokemondb.net/pokedex/all']

def parse(self, response):
    linha = response.css('table#pokedex > tbody > tr:first-child')
    link = linha.css("td:nth-child(2) > a::attr(href)")
    yield response.follow(link.get(), self.parser_pokemon)

def parser_pokemon(self, response):
    nome = response.css('h1::text').get()
    id = response.css('table.vitals-table > tbody > tr:nth-child(1) > td > strong::text').get()
    tamanho = response.css('table.vitals-table > tbody > tr:nth-child(4) > td::text').get()
    peso = response.css('table.vitals-table > tbody > tr:nth-child(5) > td::text').get()
    url_pokemon = response.url
    tipos = response.css('table.vitals-table tbody tr:nth-child(2) td a::text').getall()[:2]
    evolucoes = []
    evolucoes_possiveis = response.css('#main div.infocard-list-evo div span.infocard-lg-data.text-muted')
    
    for evolucao in evolucoes_possiveis:
        nome_evolucao = evolucao.css('a::text').get()
        id_evolucao = evolucao.css('small:nth-child(1)::text').get()
        url_evolucao = evolucao.css('a::attr(href)').get()
        url_evolucao_completinha = f'https://pokemondb.net{url_evolucao}'
      
        evolucoes.append({
            "nome_evolucao": nome_evolucao,
            "id_evolucao": id_evolucao,
            "url_evolucao": url_evolucao_completinha
        })
      
    yield {
        "nome": nome,
        "id": id,
        "tamanho": tamanho,
        "peso": peso,
        "url_pokemon": url_pokemon,
        "tipos": tipos,
        "evolucoes": evolucoes,
    }

scrapy

来源：https://stackoverflow.com/questions/77034975/how-to-especify-search-in-webscraping-python-selectors

1条答案

按热度按时间

kmbjn2e31#

我建议您阅读有关https://docs.scrapy.org/en/latest/topics/debug.html?highlight=cb_kwargs中的cb_kwargs和https://docs.scrapy.org/en/latest/topics/items.html中的scrapy项目的文档
您可以发出下一个请求，并通过Meta参数将信息传递给下一个函数，如下所示

def parser_pokemon(self, response):
    nome = response.css('h1::text').get()
    id = response.css('table.vitals-table > tbody > tr:nth-child(1) > td > strong::text').get()
    tamanho = response.css('table.vitals-table > tbody > tr:nth-child(4) > td::text').get()
    peso = response.css('table.vitals-table > tbody > tr:nth-child(5) > td::text').get()
    url_pokemon = response.url
    tipos = response.css('table.vitals-table tbody tr:nth-child(2) td a::text').getall()[:2]
    evolucoes = []
    evolucoes_possiveis = response.css('#main div.infocard-list-evo div span.infocard-lg-data.text-muted')

    for evolucao in evolucoes_possiveis:
        nome_evolucao = evolucao.css('a::text').get()
        id_evolucao = evolucao.css('small:nth-child(1)::text').get()
        url_evolucao = evolucao.css('a::attr(href)').get()
        url_evolucao_completinha = f'https://pokemondb.net{url_evolucao}'

        evolucoes.append(
            {
                "nome_evolucao": nome_evolucao,
                "id_evolucao": id_evolucao,
                "url_evolucao": url_evolucao_completinha
            }
        )
        # VVVVVVVVVVVV next code is updated VVVVVVVVVVVV
        yield Request(
            url='https://example.com/next_page_path',
            callback=self.parse_attributes,
            meta={
                'pokemon_attribs': {
                    "nome": nome,
                    "id": id,
                    "tamanho": tamanho,
                    "peso": peso,
                    "url_pokemon": url_pokemon,
                    "tipos": tipos,
                    "evolucoes": evolucoes,
                },
            },
        )

def parse_attributes(self, response):
    pokemon_attribs = response.meta['pokemon_attribs']
    pokemon_lastname = response.css('a::text').get()
    pokemon_attribs.update({'pokemon_lastname': pokemon_lastname})
    yield pokemon_attribs

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scrapy 如何在webscraping python选择器中指定搜索

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