web scrape forex live prices code example

Example 1: web scrape forex live prices

list_of_rows = []
links = []

#Filtering events that have a href link
for row in table.find_all('tr', {'data-eventid':True}):
    list_of_cells = []
    
    #Filtering high-impact events
    for span in row.find_all('span', class_='high'):
        links.append(url + "#detail=" + row['data-eventid'])
        
        #Extracting the values from the table data in each table row
        for cell in row.find_all('td', class_=[
          'calendar__cell calendar__currency currency', 
          'calendar__cell calendar__event event', 
          'calendar__cell calendar__actual actual', 
          'calendar__cell calendar__forecast forecast', 
          'calendar__cell calendar__previous previous']):
            
            list_of_cells.append(cell.text)
        list_of_rows.append(list_of_cells)

Example 2: web scrape forex live prices

links.append(url + "#detail=" + row['data-eventid'])

Example 3: web scrape forex live prices

table = soup.find('table', class_='calendar__table')

Example 4: web scrape forex live prices

import pandas as pd
import time 
import requests

from bs4 import BeautifulSoup
from selenium import webdriver

url = 'https://www.forexfactory.com/calendar.php?month=last'
response = requests.get(url)
data = response.text
soup = BeautifulSoup(data, 'lxml')