Need to Migrate Images from Zendesk Community to Discourse? Here’s a Python Script! Hi everyone, I’ve been working on migrating a Zendesk Community over to Discourse and ran into a frustrating issue: exporting images from Zendesk. The problem? Zendesk’s CDN starts blocking access after retrieving a few images directly, making bulk downloading a real challenge. After trying several approaches, I ended up creating a Python script (with some help from AI) that gets around this limitation. The script uses Selenium to open each image URL in a browser, takes a screenshot of the image, and saves it locally. It’s not as clean as directly downloading the images, but it works reliably, and the images come out in high quality. If you’re dealing with a similar migration, I hope this helps you out! What You’ll Need Python: Installed and ready to go. ChromeDriver: Download it from Chrome for Testing, extract it, and update the script with the path to your driver. CSV File: Create a CSV file with one column named URL. Populate it with the direct URLs of the images you want to export from Zendesk. Update the script with the path to this file. A Save Location: Update the script with the folder path where you want the images to be saved. Lastly, you’ll need to install a couple of Python libraries: pip install selenium pillow The Script Here’s the Python script. Feel free to tweak it to suit your setup: import csv from selenium import webdriver from selenium.webdriver.chrome.service import Service from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC import time from PIL import Image import io import re import os # Function to extract the image ID from the URL def extract_image_id(url): match = re.search(r'/([^/]+)\.(png|jpg|jpeg|gif)$', url, re.IGNORECASE) if match: return match.group(1) return 'image' # Function to download and save an image from a URL def download_image(driver, image_url, download_folder): driver.get(image_url) # Wait for the image to load wait = WebDriverWait(driver, 20) img_element = wait.until(EC.presence_of_element_located((By.TAG_NAME, 'img'))) # Get the image element's location and size location = img_element.location size = img_element.size # Take a screenshot of the entire page screenshot = driver.get_screenshot_as_png() # Convert screenshot to PIL Image screenshot_image = Image.open(io.BytesIO(screenshot)) # Define the bounding box for the image (left, top, right, bottom) left = location['x'] top = location['y'] right = left + size['width'] bottom = top + size['height'] bbox = (left, top, right, bottom) # Crop the image to the bounding box cropped_image = screenshot_image.crop(bbox) # Extract the image ID from the URL image_id = extract_image_id(image_url) # Save the cropped image with the image ID as the filename in the download folder cropped_image.save(os.path.join(download_folder, f'{image_id}.png')) # Function to load URLs from a CSV file def load_urls_from_csv(csv_file): urls = [] with open(csv_file, mode='r', newline='', encoding='utf-8') as file: reader = csv.DictReader(file) for row in reader: urls.append(row['URL']) # Assuming the CSV has 'id' and 'url' columns return urls # Set up ChromeDriver service service = Service("C:\\Users\\tslam\\Downloads\\chromedriver-win64\\chromedriver-win64\\chromedriver.exe") driver = webdriver.Chrome(service=service) try: # Maximize browser window to full screen driver.maximize_window() # Load URLs from the CSV file csv_file = 'C:\\Users\\tslam\\Zendesk Migration\\image_urls.csv' image_urls = load_urls_from_csv(csv_file) # Define the download folder path download_folder = 'C:\\Users\\tslam\\Zendesk Migration\\downloads' # Ensure the download folder exists if not os.path.exists(download_folder): os.makedirs(download_folder) # Process each image URL for url in image_urls: download_image(driver, url, download_folder) finally: driver.quit()

סקריפט ב-Python לייצוא תמונות מקהילת Zendesk

cocococosti (Constanza Abarca) 7 בינואר,‏ 2025,‏ 7:52pm 2

Nice! This could even be used for other migrations that face the same issue, not only Zendesk. Thank you so much for sharing.

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