【笔记】ScrapySplash学习笔记

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前言

ScrapySplash学习笔记

准备工作

  • 已经部署了Splash服务

下载依赖

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pip3 install scrapy
pip3 install scrapy-splash

创建项目

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scrapy startproject <project_name>
cd <project_name>

修改配置文件

SPLASH服务URL

<project_name>/<project_name>/settings.py
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SPLASH_URL = 'http://127.0.0.1:8050'

添加下载器中间件

<project_name>/<project_name>/settings.py
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DOWNLOADER_MIDDLEWARES = {
    'scrapy_splash.SplashCookiesMiddleware': 723,
    'scrapy_splash.SplashMiddleware': 725,
    'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810,
}

去重过滤器

<project_name>/<project_name>/settings.py
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DUPEFILTER_CLASS = 'scrapy_splash.SplashAwareDupeFilter'

使用Splash的HTTP缓存

<project_name>/<project_name>/settings.py
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HTTPCACHE_STORAGE = 'scrapy_splash.SplashAwareFSCacheStorage'

创建爬虫

通过命令生成爬虫初始代码

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scrapy genspider <spider_name> <domain>

数据建模

  • 在items文件中预先定义需要爬取的字段
<project_name>/<project_name>/items.py
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import scrapy


class DemoItem(scrapy.Item):
    # 文章标题
    title = scrapy.Field()
    # 文章内容
    content = scrapy.Field()

定义请求目标并处理响应

  • 在start_requests()方法中返回给引擎使用scrapy_splash.SplashRequest类定义的请求

wait：请求最大超时时间，单位秒

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import scrapy
from demo.items import DemoItem
from scrapy_splash import SplashRequest


class TestSpider(scrapy.Spider):
    name = "test"
    allowed_domains = ["loli.fj.cn"]
    start_urls = ["https://loli.fj.cn"]

    def start_requests(self):
        yield SplashRequest(self.start_urls[0], callback=self.parse, args={'wait': 10}, endpoint='render.html')

    def parse(self, response, *args, **kwargs):
        # 通过xpath解析数据
        node_list = response.xpath('//article')
        # 遍历节点列表
        for node in node_list:
            # 实例化模型
            item = DemoItem()
            item['title'] = node.xpath('./header/h2/a/text()').extract_first()
            item['content'] = node.xpath('./div[@itemprop="articleBody"]/p/text()').extract_first()
            # 返回数据
            yield item

完成

参考文献

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