Scraping Vocabulary using Selenium and parsing to DataFrame

You can iterate over each word to append to the column:

from selenium import webdriverfrom selenium.webdriver.common.by import Byfrom selenium.webdriver.support.ui import WebDriverWaitfrom selenium.webdriver.support import expected_conditions as ECimport selenium.common.exceptionsimport osimport pandas as pdchrome_options = webdriver.ChromeOptions()chrome_options.add_argument("--window-size=1920x1080")# chrome_options.add_argument("--headless")chrome_driver = os.getcwd() + "\\chromedriver.exe"driver = webdriver.Chrome(options=chrome_options, executable_path=chrome_driver)# Define the dataframedf = pd.DataFrame(columns=['rating'])driver.get("https://sq.m.wiktionary.org/w/index.php?title=Kategoria:Shqip&pagefrom=agall%C3%ABk#mw-pages")for x in range(200):    rating_element = WebDriverWait(driver, 10).until(        EC.presence_of_element_located((By.CSS_SELECTOR, "#mw-pages > div > div > div > ul"))    )    rating = rating_element.text    for word in rating.split('\n'):        df2 = pd.DataFrame([word], columns=['rating'])        df = df.append(df2, ignore_index=True)    try:        element = WebDriverWait(driver, 10).until(            EC.presence_of_element_located((By.LINK_TEXT, "faqja pasardhëse"))        )        element.click()            except selenium.common.exceptions.TimeoutException:        breakprint(df)df.to_csv('word_list.csv', encoding='utf-8', index=False)

Outputs

      rating0    agallëk1       agar2      agave3       agde4     ageshë..       ...595    ankim596  ankimor597  ankohem598    ankoj599   ankojë[600 rows x 1 columns]

Edit

Added the option to write to a file.