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October 30, 2022 03:18
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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
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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
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python -i composer_auto.py
job()