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If the actual data is not contained in the response.content, it is possible that the data is loaded dynamically using JavaScript, and therefore not directly accessible through BeautifulSoup. In this case, you could use a web scraping tool such as Selenium to automate a web browser and extract data from the loaded page.

Here is an example of how to use Selenium with Python to extract data from a Bing dictionary page:

1. Install Selenium:

pip install selenium

1. Download a web driver compatible with your web browser (e.g. ChromeDriver for Chrome, GeckoDriver for Firefox, etc.).

2. Import the necessary modules:

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

1. Create a webdriver instance:

# Replace "/path/to/driver" with the path to your downloaded web driver
driver = webdriver.Chrome("/path/to/driver")

1. Load the Bing dictionary page:

driver.get("https://www.bing.com/dictionary")

1. Find the search box and enter a word to look up:

search_box = driver.find_element_by_name("q")
search_box.send_keys("example_word")
search_box.submit()

1. Wait for the page to finish loading (you could add a timeout parameter to WebDriverWait to avoid infinite waiting):

wait = WebDriverWait(driver, 10)
wait.until(EC.presence_of_element_located((By.CLASS_NAME, "client_def")))

1. Extract the desired data using Selenium:

# Find the definition element
definition = driver.find_element_by_class_name("client_def")

# Extract the text content of the definition element
definition_text = definition.text

print(definition_text)

1. Close the webdriver instance:

driver.quit()

This example extracts the text content of the element with class "client_def", which contains the definition of the looked up word. You could use similar Selenium methods to extract other data from the loaded page.