股票数据Scrapy爬虫（还是个坑，待填）

第一步我们要导入 scrapy框架 ，还是使用 cmd 的 pip 指令

pip install scrapy

然后让我检测一下是否已经导入完成，这里是在 cmd 命令中输入

C:\Users\zhaihao\BaiduStocks>scrapy -h

如果已经导入会出现 scrapy 的相关信息

这里我开始的时候出现了错误：

timeouterror: [winerror 10060] 由于连接方在一段时间后没有正确答复或 连接的主机没 site:blog.youkuaiyun.com

这个错误的话，把防火墙关掉就ok了

首先我们要新建一个项目

C:\Users\zhaihao>scrapy startproject BaiduStocks

然后生成一个名为 stocks 的爬虫

C:\Users\zhaihao>cd BaiduStocks
C:\Users\zhaihao\BaiduStocks>scrapy genspider stocks baidu.com

 配置stocks.py 文件

# -*- coding: utf-8 -*-
import scrapy
import re
class StocksSpider(scrapy.Spider):
    name = "stocks"
    start_urls = ['https://quote.eastmoney.com/stocklist.html']
    def parse(self, response):
        for href in response.css('a::attr(href)').extract():
            try:
                stock = re.findall(r"[s][hz]\d{6}", href)[0]
                url = 'https://gupiao.baidu.com/stock/' + stock + '.html'
                yield scrapy.Request(url, callback=self.parse_stock)
                
            except:
                continue

    def parse_stock(self, response):
        infoDict = {}
        
        stockInfo = response.css('.stock-bets')
        name = stockInfo.css('.bets-name').extract()[0]
        
        keyList = stockInfo.css('dt').extract()
        valueList = stockInfo.css('dd').extract()
        for i in range(len(keyList)):
            key = re.findall(r'>.*</dt>', keyList[i])[0][1:-5]
            try:
                val = re.findall(r'\d+\.?.*</dd>', valueList[i])[0][0:-5]
            except:
                val = '--'
            infoDict[key]=val
            
        infoDict.update(
            {'股票名称': re.findall('\s.*\(',name)[0].split()[0] + \
            re.findall('\>.*\<', name)[0][1:-1]})
        
        yield infoDict

然后我们还需要配置 pipelines.py 文件

# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
class BaidustocksPipeline(object):
    def process_item(self, item, spider):
        return item
    
class BaidustocksInfoPipeline(object):
    def open_spider(self, spider):
        self.f = open('BaiduStockInfo.txt', 'w')
        
    def close_spider(self, spider):
        self.f.close()

    def process_item(self, item, spider):
        try:
            line = str(dict(item)) + '\n'
            self.f.write(line)
        except:
            pass
        return item

 因为这里我们新建了一个类  BaidustocksInfoPipeline ，这里为了让scrapy 框架掌握这个类，就需要配置 settings.py，要把一下部分修改，就是把原来的类修改成 BaidustocksInfoPipeline 类

# Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
#       'BaiduStocks.pipelines.BaidustocksInfoPipeline': 300, 
#}

最后我们可以查看该爬虫的相关信息

C:\Users\zhaihao\BaiduStocks>scrapy crawl stocks