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fetchOnlyNeededData.py
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fetchOnlyNeededData.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 29 10:38:59 2020
@author: MAGESHWARAN
"""
from companyDataScrapper import MoneyControlScrapper
from newsScrapper import MoneyControlNews
from tqdm import tqdm
import pandas as pd
filterSymbols = True
with open("symbols.txt", "r") as fp:
symbolsNeeded = fp.readlines()
df = pd.read_csv("symlinks.csv")
symbols = list(df["Symbol"])
urls = list(df["symbol_url"])
moneycontrol = MoneyControlScrapper()
allCompanyData = {}
allCompanyNews = {}
for symbol, url in tqdm(zip(symbols, urls)):
allow = False
if not filterSymbols:
allow = True
if filterSymbols and symbol in symbolsNeeded:
allow = True
if allow:
temp = moneycontrol.get_analysis(url)
if temp:
allCompanyData[symbol] = temp
try:
scrappe = MoneyControlNews(symbol)
allCompanyNews[symbol] = scrappe.fetch_a()
except Exception as e:
print(str(e))
allCompanyNews[symbol] = str(e)
df = pd.DataFrame(allCompanyData).transpose()
df.to_excel("selectiveStocksData.xlsx")
news_df = pd.DataFrame(allCompanyNews)
news_df.to_excel("selectiveStocksNews.xlsx")