股票数据Scrapy爬虫
本文对中国大学慕课上《Python网络爬虫与信息提取》课程中的最后一个实例”股票数据Scrapy爬虫”给出了具体的更新后的实现步骤。
import re
import scrapy
class StocksSpider(scrapy.Spider):
name = 'stocks'
start_urls = ['http://quote.stockstar.com/stock/stock_index.htm']
def parse(self, response):
for href in response.css('a::attr(href)').extract():
try:
stock = re.search(r'/gs/sh_\d{6}.shtml', href).group(0).split('_')[1].split('.')[0]
url = "http://quotes.money.163.com/" + '0' + stock + '.html'
yield scrapy.Request(url=url, callback=self.parse_stock)
except:
continue
def parse_stock(self, response):
infoDict = {}
script = response.xpath('//div[@class="relate_stock clearfix"]/script[1]').extract()
info = script[0].strip().split(',')
infoDict['股票名称'] = eval(re.search(r'name\: \'.*\'', info[0]).group(0).split(':')[1])
infoDict['股票代码'] = eval(re.search(r'code\: \'\d{6}\'', info[1]).group(0).split(":")[1])
infoDict['现价'] = eval(re.search(r'price\: \'.*\'', info[2]).group(0).split(":")[1])
infoDict['涨跌幅'] = re.search(r'change\: \'.*%', info[3]).group(0).split("'")[1]
infoDict['昨收'] = eval(re.search(r'yesteday\: \'.*\'', info[4]).group(0).split(":")[1])
infoDict['今开'] = eval(re.search(r'today\: \'.*\'', info[5]).group(0).split(":")[1])
infoDict['最高'] = eval(re.search(r'high\: \'.*\'', info[6]).group(0).split(":")[1])
infoDict['最低'] = eval(re.search(r'low\: \'.*\'', info[7]).group(0).split(":")[1])
yield infoDict
(2)打开”pipelines.py”文件,修改代码,如下所示:
class ScrapystocksPipeline(object):
def process_item(self, item, spider):
return item
class ScrapystocksInfoPipeline(object):
def open_spider(self, spider):
self.f = open('ScrapyStockInfo.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
(3)打开”settings.py”文件,修改部分代码,如下所示:
原代码:
修改后:去掉注释,修改pipeline类名称
ITEM_PIPELINES = {
'Stocks.pipelines.ScrapystocksInfoPipeline': 300,
}
- 也可以直接在Pycharm中打卡整个项目,通过Terminal执行命令”scrapy crawl stocks”,如图所示:
到此,整个爬虫就结束了。
Original: https://blog.csdn.net/weixin_45773716/article/details/113727595
Author: 腻腻不腻
Title: 股票数据Scrapy爬虫-Python网络爬虫与信息提取-北京理工大学嵩天教授
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