I need to scrap data instantly (5-10sec) but my code works 60-80sec.
if have better and faster idea, please let me know. it does not matter whether by selenium or even another language

Here is my code:

from selenium import webdriver
from selenium.webdriver.common.by import By
import pandas as pd
import time

start = time.time()
driver = webdriver.Chrome()
driver.get("https://www.investing.com/economic-calendar/")
# Scrape the data
events = []

# Locate the rows in the table
rows = driver.find_elements(By.XPATH, '/html/body/div[6]/section/div[6]/table/tbody/tr[14]')

for row in rows:
    try:
        actual = row.find_element(By.XPATH, './td[5]').text
        previous = row.find_element(By.XPATH, './td[7]').text

        events.append([actual, previous])
    except Exception as e:
        print(f"Error processing row: {e}")

driver.quit()

df = pd.DataFrame(events, columns=[ 'Actual', 'Previous'])

df.head()

df.to_csv('economic_calendar.csv', index=False)

end = time.time()

print(end - start)