Script to scrape financial data from NASDAQ

nasdaq_finance.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from lxml import html
import requests
from time import sleep
import json
import argparse
from random import randint

def parse_finance_page(ticker):
	"""
	Grab financial data from NASDAQ page
	
	Args:
		ticker (str): Stock symbol
	
	Returns:
		dict: Scraped data
	"""
	key_stock_dict = {}
	headers = {
				"Accept":"text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
				"Accept-Encoding":"gzip, deflate",
				"Accept-Language":"en-GB,en;q=0.9,en-US;q=0.8,ml;q=0.7",
				"Connection":"keep-alive",
				"Host":"www.nasdaq.com",
				"Referer":"http://www.nasdaq.com",
				"Upgrade-Insecure-Requests":"1",
				"User-Agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.119 Safari/537.36"
	}

	# Retrying for failed request
	for retries in range(5):
		try:	
			url = "http://www.nasdaq.com/symbol/%s"%(ticker)
			response = requests.get(url, headers = headers, verify=False)
			
			if response.status_code!=200:
				raise ValueError("Invalid Response Received From Webserver")

			print("Parsing %s"%(url))
			# Adding random delay
			sleep(randint(1,3))	
			parser = html.fromstring(response.text)
			xpath_head = "//div[contains(@id,'pageheader')]//h1//text()"
			xpath_key_stock_table = '//div[contains(@class,"overview-results")]//div[contains(@class,"table-table")]/div'
			xpath_open_price = '//b[contains(text(),"Open Price:")]/following-sibling::span/text()'
			xpath_open_date = '//b[contains(text(),"Open Date:")]/following-sibling::span/text()'
			xpath_close_price = '//b[contains(text(),"Close Price:")]/following-sibling::span/text()'
			xpath_close_date = '//b[contains(text(),"Close Date:")]/following-sibling::span/text()'
			xpath_key = './/div[@class="table-cell"]/b/text()'
			xpath_value = './/div[@class="table-cell"]/text()'

			raw_name = parser.xpath(xpath_head)
			key_stock_table =  parser.xpath(xpath_key_stock_table)
			raw_open_price = parser.xpath(xpath_open_price)
			raw_open_date = parser.xpath(xpath_open_date)
			raw_close_price = parser.xpath(xpath_close_price)
			raw_close_date = parser.xpath(xpath_close_date)

			company_name = raw_name[0].replace("Common Stock Quote & Summary Data","").strip() if raw_name else ''
			open_price =raw_open_price[0].strip() if raw_open_price else None
			open_date = raw_open_date[0].strip() if raw_open_date else None
			close_price = raw_close_price[0].strip() if raw_close_price else None
			close_date = raw_close_date[0].strip() if raw_close_date else None

			# Grabbing and cleaning keystock data
			for i in key_stock_table:
				key = i.xpath(xpath_key)
				value = i.xpath(xpath_value)

				key = ''.join(key).strip() 
				value = ' '.join(''.join(value).split()) 
				key_stock_dict[key] = value

			nasdaq_data = {

							"company_name":company_name,
							"ticker":ticker,
							"url":url,
							"open price":open_price,
							"open_date":open_date,
							"close_price":close_price,
							"close_date":close_date,
							"key_stock_data":key_stock_dict
			}
			return nasdaq_data

		except Exception as e:
			print("Failed to process the request, Exception:%s"%(e))

if __name__=="__main__":

	argparser = argparse.ArgumentParser()
	argparser.add_argument('ticker',help = 'Company stock symbol')
	args = argparser.parse_args()
	ticker = args.ticker
	print("Fetching data for %s"%(ticker))
	scraped_data = parse_finance_page(ticker)
	print("Writing scraped data to output file")

	with open('%s-summary.json'%(ticker),'w') as fp:
		json.dump(scraped_data,fp,indent = 4,ensure_ascii=False)