爬取股票scrapy

scrapy startproject BaiduStocks
cd BaiduStocks 
scrapy genspider stocks baidu.com

import scrapy
import re
class StocksSpider(scrapy.Spider):
    name = "stocks"
    start_urls = [‘http://quote.eastmoney.com/stocklist.html‘]
    def parse(self,response):
            for href in response.css(‘a::aattr(href)‘).extract():
                try:
                    stock = re.findall(r"[s][hz]\d{6}",href)[0]
                    url = ‘https://gupiao.bai.com/stock/‘ + stock +‘.html‘
                    yield scrapy.Request(url,callback=self.parse_stock)
                except:
                    continue
    def parse_stock(self.response):
        infoDict = {}
        stockInfo = respomse.css(‘.stock-bets‘)
        name = stockInfo.css(‘.bets-name‘).extact()[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+\.?.*‘,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:-i]})
　　　　　yield inofDict            

# -*- 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

ITEM_PIPELINES = {
    ‘BaiduStocks.pipelines.BaidustocksInfoPipeline‘: 300,