使用scrapy爬取百度股票

1.spiders文件夹下的爬虫文件

# -*- coding: utf-8 -*-
import scrapy
import re
import random
from scrapy.http.response.html import HtmlResponse
class StocksSpider(scrapy.Spider):
def __init__(self):
self.user_agent_list = [ \
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1" \
"Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11", \
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6", \
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6", \
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1", \
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5", \
"Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5", \
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", \
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", \
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", \
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", \
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", \
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", \
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", \
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", \
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3", \
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24", \
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]
self.ua = random.choice(self.user_agent_list)
self.header = {
'Accept-Encoding': 'gzip, deflate, sdch, br',
'Accept-Language': 'zh-CN,zh;q=0.8',
'Connection': 'keep-alive',
'Referer': 'https://gupiao.baidu.com/',
'User-Agent': self.ua
}
name = 'stocks'
start_urls = ['http://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 = 'http://gupiao.baidu.com/stock/'+stock+'.html'
yield scrapy.Request(url,callback=self.parse_stock,headers=self.header)
except:
continue
def parse_stock(self,response):
infoDict = {}
stockInfo = response.css('.stock-bets').extract()[0]
name = response.css('.stock-bets .bets-name').extract()[0]
KeyList = response.css('.stock-bets dt').extract()
ValueList = response.css('.stock-bets dd').extract()
for i in range(len(KeyList)):
key = re.findall(r'>.*</dt>',KeyList[i])[0][1:-5]
try:
value = re.findall(r'\d+.?.*</dd>', ValueList[i])[0][0:-5]
except:
value = '--'
infoDict[key] = value
infoDict.update(
{'股票名称':re.findall('\s.*\(',name)[0].split()[0] +
re.findall('\>.*\<',name)[0][1:-1]}
)
yield infoDict

2.pipelines.py

# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://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('BaiduStockInfo1.txt','w',encoding='utf-8') def colse_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
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