Last active
August 24, 2021 19:04
-
-
Save scrapehero/b0c7426f85aeaba441d603bb81e1d0e2 to your computer and use it in GitHub Desktop.
Python 2 code to extract stock market data from Yahoo Finance
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from lxml import html | |
import requests | |
from exceptions import ValueError | |
from time import sleep | |
import json | |
import argparse | |
from collections import OrderedDict | |
from time import sleep | |
def parse(ticker): | |
url = "http://finance.yahoo.com/quote/%s?p=%s"%(ticker,ticker) | |
response = requests.get(url, verify=False) | |
print "Parsing %s"%(url) | |
sleep(4) | |
parser = html.fromstring(response.text) | |
summary_table = parser.xpath('//div[contains(@data-test,"summary-table")]//tr') | |
summary_data = OrderedDict() | |
other_details_json_link = "https://query2.finance.yahoo.com/v10/finance/quoteSummary/{0}?formatted=true&lang=en-US®ion=US&modules=summaryProfile%2CfinancialData%2CrecommendationTrend%2CupgradeDowngradeHistory%2Cearnings%2CdefaultKeyStatistics%2CcalendarEvents&corsDomain=finance.yahoo.com".format(ticker) | |
summary_json_response = requests.get(other_details_json_link) | |
try: | |
json_loaded_summary = json.loads(summary_json_response.text) | |
y_Target_Est = json_loaded_summary["quoteSummary"]["result"][0]["financialData"]["targetMeanPrice"]['raw'] | |
earnings_list = json_loaded_summary["quoteSummary"]["result"][0]["calendarEvents"]['earnings'] | |
eps = json_loaded_summary["quoteSummary"]["result"][0]["defaultKeyStatistics"]["trailingEps"]['raw'] | |
datelist = [] | |
for i in earnings_list['earningsDate']: | |
datelist.append(i['fmt']) | |
earnings_date = ' to '.join(datelist) | |
for table_data in summary_table: | |
raw_table_key = table_data.xpath('.//td[@class="C(black)"]//text()') | |
raw_table_value = table_data.xpath('.//td[contains(@class,"Ta(end)")]//text()') | |
table_key = ''.join(raw_table_key).strip() | |
table_value = ''.join(raw_table_value).strip() | |
summary_data.update({table_key:table_value}) | |
summary_data.update({'1y Target Est':y_Target_Est,'EPS (TTM)':eps,'Earnings Date':earnings_date,'ticker':ticker,'url':url}) | |
return summary_data | |
except ValueError: | |
print "Failed to parse json response" | |
return {"error":"Failed to parse json response"} | |
if __name__=="__main__": | |
argparser = argparse.ArgumentParser() | |
argparser.add_argument('ticker',help = '') | |
args = argparser.parse_args() | |
ticker = args.ticker | |
print "Fetching data for %s"%(ticker) | |
scraped_data = parse(ticker) | |
print "Writing data to output file" | |
with open('%s-summary.json'%(ticker),'w') as fp: | |
json.dump(scraped_data,fp,indent = 4) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment