pegand_dados_tradingview.py

# -*- coding: utf-8 -*-
"""Pegando dados do tradingview.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1QjtnKnEi1abdvKpgWz3RS0HAMCI_bkpJ
"""

#install chromium, its driver, and selenium:
!apt install chromium-chromedriver
!cp /usr/lib/chromium-browser/chromedriver /usr/bin
!pip install selenium
#set options to be headless

url=('https://medium.com/@darektidwell1980/using-selenium-with-google-colaboratory-ca4a4f21021f')
from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('-headless')
options.add_argument('-no-sandbox')
options.add_argument('-disable-dev-shm-usage')
#open it, go to a website, and get results
wd = webdriver.Chrome('chromedriver',options=options)
wd.get(url)
print(wd.page_source) # results

from selenium import webdriver
import time
import pandas as pd
import datetime
from google.colab import drive
drive.mount('/drive')

df=[]
df=pd.DataFrame(df)
df.to_csv('/drive/My Drive/trade/indice.csv')

#import pandas as pd

driver = webdriver.Chrome('chromedriver',options=options)
# Remember the ChromeDriver File? You have to tell the code where that
                                            # file is located here.

#driver.get('https://br.tradingview.com/symbols/EURUSD/?exchange=FX_IDC')
driver.get('https://br.tradingview.com/symbols/EURGBP/?exchange=OANDA')
#print(driver.find_elements_by_xpath('//*[@id="anchor-page-1"]/div/div[3]/div[1]/div/div/div/div[1]/div[1]')[0].text)
# This is the link of the webpage.
tempo=1
data=[]
#for i in range(1,100):
#    time.sleep(tempo)
#    data.append(driver.find_elements_by_xpath('//*[@id="anchor-page-1"]/div/div[3]/div[1]/div/div/div/div[1]/div[1]')[0].text)
# WARNING:
# Executing these lines of code will already open the webpage on Chrome.


def brigas(data):
  data = pd.read_csv(caminho,index_col=None)
  data.columns=['Preço']
  zona=data.groupby(["Preço"])['Preço'].count().sort_values(ascending=False).iloc[0:30]
  zonas=data.groupby(["Preço"])['Preço'].count().sort_values(ascending=False).iloc[0:30].plot(kind='bar',figsize=(30,30),title="Zonas de briga")
  return zona

comand=True

while comand:

  time.sleep(tempo)
  price=[]
  col=[]
  time_stamp= datetime.datetime.now()
  time_stamp=time_stamp.strftime("%Y %m %d %H:%M:%S")
  price.append(driver.find_elements_by_xpath('//*[@id="anchor-page-1"]/div/div[3]/div[1]/div/div/div/div[1]/div[1]')[0].text)
  col=[time_stamp]
  col.extend(price)
  df=pd.DataFrame(col)
  df=df.T
  
  
  df.to_csv('/drive/My Drive/trade/novo.csv',mode='a',header= False)
  
  print(col)

caminho=('/drive/My Drive/trade/novo.csv')
dados_briga=brigas(data,caminho)