a script which saves a csv file of the 4 details on the https://app.composer.trade/follow page for all symphonies that you follow

composer_auto.py

from selenium  import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import pandas as pd
import datetime

driver = webdriver.Firefox(executable_path="geckodriver.exe")
driver.get("https://app.composer.trade/login")

def job():
    url = "https://app.composer.trade/follow"
    wait = WebDriverWait(driver, 10)
    wait.until(EC.url_to_be(url))

    #symphony name
    symps = driver.find_elements(By.CLASS_NAME, "text-lg.mb-1.leading-snug.relative.z-20.pointer-events-none")
    symps_name = [symp.text for symp in symps]

    #symphony url
    symps = driver.find_elements(By.CLASS_NAME, "sr-only")
    symps_url = [symp.get_attribute("href") for symp in symps]

    #simulated value
    sim_vals = driver.find_elements(By.XPATH, "//*[contains(text(), 'Simulated Value')]/following-sibling::node()")
    sim_vals_txt = [sim_val.text for sim_val in sim_vals]

    #cumulative return
    cum_rets = driver.find_elements(By.XPATH, "//*[contains(text(), 'Cumulative Return')]/following-sibling::node()")
    cum_rets_txt = [cum_ret.text for cum_ret in cum_rets]

    #today's $ change
    usd_changes = driver.find_elements(By.XPATH, "//*[contains(text(), \"Today's $ Change\")]/following-sibling::node()")
    usd_changes_txt = [usd_change.text for usd_change in usd_changes]

    #today's % change
    percent_changes = driver.find_elements(By.XPATH, "//*[contains(text(), \"Today's % Change\")]/following-sibling::node()")
    percent_changes_txt = [percent_change.text for percent_change in percent_changes]

    prop_names = ["symp_name", "symp_url", "sim_val", "cum_ret", "usd_change", "percent_change"]
    props = [symps_name, symps_url, sim_vals_txt, cum_rets_txt, usd_changes_txt, percent_changes_txt]

    df = pd.DataFrame(dict(zip(prop_names, props)))
    dt_now = datetime.datetime.now()
    df["datetime"] = dt_now
    df.to_csv(f"{dt_now.strftime('%d_%m_%Y_%H_%M_%S')}.csv")

i made a few updates to it:
https://gist.github.com/androslee/c55e41227c58f6415b8248c8d9751364

having some issues using the linux chrome webdriver