用法很简单，先安装Scrapy，我这里是win10环境，py3.10+

安装scrapy

pip install Scrapy

显示如图安装完毕

创建项目

分三步创建

scrapy stratproject spiderdemo #创建spiderdemo 项目，项目名随意取
cd spiderdemo #进入项目目录下
scrapy genspider nmdis www.nmdis.org.cn #爬虫名为nmdis ，后面接url

项目创建完配置venv虚拟环境，目的是为了每个项目用自己的包，当然也可以不配置用全局环境，至此环境搭建完成。

例子：爬取网页 https://www.nmdis.org.cn/hyxw/gnhyxw/ 新闻模块

nmdis.py文件

import scrapy
from scrapy import Selector, Request
from scrapy.http import HtmlResponse

from spiderdemo.items import DetailItem


class NmdisSpider(scrapy.Spider):
    name = "nmdis"
    allowed_domains = ["nmdis.org.cn"]

    def start_requests(self):
        for page in range(1):
            print(f"爬取页数：{page + 1}")
            if page < 1:
                yield Request(url=f'https://www.nmdis.org.cn/hyxw/gnhyxw/')
            else:
                yield Request(url=f'https://www.nmdis.org.cn/hyxw/gnhyxw/index_{page + 1}.shtml')

    # 获取详情页的url
    def parse(self, response: HtmlResponse):
        sel = Selector(response)
        url_items = sel.css("div.title.fl.ellipsis > a::attr(href)")
        for url in url_items:
            detail_item = DetailItem()
            detail_item['details_url'] = response.urljoin(url.extract())
            details_url = response.urljoin(url.extract())
            # 回调
            yield Request(url=details_url, callback=self.parse_detail, cb_kwargs={'item': detail_item})

    # 获取详情页数据
    def parse_detail(self, response, **kwargs):
        detail_item = kwargs['item']
        sel = Selector(response)
        detail_item['title'] = sel.xpath('//h2[@class="maintit"]/text()').extract_first()
        detail_item['source'] = sel.xpath('//em[@class="fl"]/text()').extract_first()
        detail_item['release_time'] = sel.xpath('//em[@class="fr"]/text()').extract_first()
        detail_arr = sel.xpath('//div[@class="bodytext"]//text()').extract()
        detail_item['context'] = "".join(detail_arr)
        yield detail_item

items.py文件

import scrapy


class DetailItem(scrapy.Item):
    details_url = scrapy.Field()
    title = scrapy.Field()
    source = scrapy.Field()
    release_time = scrapy.Field()
    context = scrapy.Field()

配置settings.py代理 f12 在请求里面找一个就行


scrapy crawl nmdis运行即可

导入到excel

导入openpyxl包
pip install openpyxl

pipelines.py 编写管道输出

class SpiderdemoPipeline:

    def __init__(self):
        self.wb = openpyxl.Workbook()
        self.ws = self.wb.active
        self.ws.title = '标题测试'
        self.ws.append(('来源地址', '标题', '信息来源', '发布时间', '内容'))

    def close_spider(self, spider):
        self.wb.save('爬取数据.xlsx')

    def process_item(self, item, spider):
        details_url = item.get('details_url') or ''
        title = item.get('title') or ''
        source = item.get('source') or ''
        release_time = item.get('release_time') or ''
        context = item.get('context') or ''
        self.ws.append((details_url, title, source, release_time, context))
        return item

settings.py打开管道配置

scrapy crawl nmdis运行即可

实用命令

可以在自己的项目中生成包文件

pip freeze > requirements.txt #生成pip文件

若存在requirements文件可以导入其他项目中的包依赖

pip install -r requirements.txt #安装文件的依赖项