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

README.md

• install and setup selenium toolkit on your computer

  • the driver might be google chrome or firefox (geckodriver) based depending on your OS (unix vs windows) https://dev.to/hakobyansen/installing-chromedriver-and-selenium-server-on-linux-mint-19-3-tricia-5gnk https://www.selenium.dev/downloads/ https://www.selenium.dev/documentation/webdriver/getting_started/install_drivers/

• install requirements.txt file ##Requirements

pip3 install -r requirements.txt

##python update

• it's highly recommended you keep your python install up to date. at the time of writing this, python 3.11.0 was just released.

• start selenium java -jar selenium-server-4.5.3.jar standalone &

• In terminal cd to directory which contains script

• run: python3 -i composer_auto.py assuming your local python3 was made as an altinstall aliased to "python3"

• login to composer

• go to https://app.composer.trade/follow

• In terminal run job() because this was launched interactive. after line 20, the current python interpreter has nothing left to do. it got you to login at line 20, so the current session has your login/session information. so, you can run the "job()" function and direct python to start scraping the page for all the information.

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
from sys import platform


if platform == "linux" or platform == "linux2" or platform == "cygwin":
    # linux
    driver = webdriver.Chrome(executable_path="//usr/bin/chromedriver")
# don't know the OS X variants nor the install paths, sorry
#elif platform == "darwin":
    # OS X
elif platform == "win32":
    # Windows...
    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")

geckodriver.log

Invalid port. Exiting...

requirements.txt

selenium
pandas