CanvaBot

CanvaBot is a Python script designed for automating tasks on Canva, such as login, text and image manipulation, and other actions.

Table of Contents

• Features
• Getting Started
  • Prerequisites
• Usage
  • CanvaBot
  • CanvaImage
  • CanvaVideo
• License

Features

• Automated login to Canva using Google Sign-In.
• Automated editing Image.
• Automated editing Video.
• Uploading and downloading images and videos on Canva.

Getting Started

Prerequisites

• Required Python packages:
  • undetected-chromedriver
  • selenium
  • beautifulsoup4
  • shutil

Usage

CanvaBot

from CanvaBot import CanvaBot

# Create an instance of CanvaBot to automate login
bot = CanvaBot()

The CanvaBot class is initialized to automate the login process on Canva using a preconfigured Google account. It includes methods to connect to Google, open a new browser window, and navigate to the Canva login page.

# Close the CanvaBot instance
bot.Close()

Creating an instance of CanvaBot will only automate login, nothing more.

CanvaImage

The CanvaImage class is a subclass of the CanvaBot class and represents a specialized instance for working with Canva's image workspace. It provides automation features for tasks related to Canva's image editing functionalities.

Initialization

from CanvaBot import CanvaImage

# Create an instance of CanvaImage to automate login to the Canva image workspace
image_bot = CanvaImage()

Upon initialization, the CanvaImage instance inherits the login automation features from the CanvaBot class and navigates to the Canva image workspace.

Actions and Methods

change_text(text: str) -> bool

Change the text content on a Canva design element.

Parameters

• text: The new text content to be set.

Returns

• True if the text change is successful; False otherwise.

Example

success = image_bot.change_text("New Text Content")

change_photo(pictures: str, btn=0) -> dict

Change the photo on a Canva design by uploading and downloading a new image.

Parameters

• pictures: The path to the image file to be uploaded.
• btn (optional): A parameter indicating whether a specific (save) button is clicked or not. 'btn' must be parsed when using this function in an iteration.

Returns

A dictionary containing edited image download link and button click status.

Example

result = image_bot.change_photo("~path/to/your/image.jpg")

Additional Notes

• The CanvaImage class utilizes the CanvaBot functionalities for login and navigation to the image workspace.
• Image-related actions, such as changing text content and uploading images, can be performed using the provided methods.

Closing the Instance

# Close the CanvaImage instance
image_bot.Close()

The Close method is called to quit the Chrome webdriver and close the browser window associated with the CanvaImage instance.

Single use Example

from CanvaBot import CanvaImage

bot = CanvaImage()

change_text = bot.change_text("New Text Content")

change_image = bot.change_photo(".path/to/image.jpg")

print(change_image["imagelink"])

bot.Close()

Used in iteration

from CanvaBot import CanvaImage

texts = ["Former Text Content", "Latter Text Content"]
image_paths = ["path/to/image1.jpg", "path/to/image2.jpg"]
bot = CanvaImage()

for text, image_path in zip(texts, image_paths):
  change_text = bot.change_text(text)
  if not change_text:
    print("Error while changing a text")
    break

  change_image = bot.change_photo(image_path)
  if change_image["imagelink"]:
    # do something with download link
  else:
    print("Error while changing a image")
    break

bot.Close()

CanvaVideo

The CanvaVideo class is an extension of the CanvaBot class and represents a specialized instance for working with Canva's video workspace. It provides automation features for tasks related to Canva's video editing functionalities.

Initialization

from CanvaBot import CanvaVideo

# Create an instance of CanvaVideo to automate login to the Canva video workspace
video_bot = CanvaVideo()

Upon initialization, the CanvaVideo instance inherits the login automation features from the CanvaBot class and navigates to the Canva video workspace.

Actions and Methods

change_video_text(text: str) -> bool

Change the text caption of a video element in Canva, adjusting the font size as needed.

Parameters

• text: The new text to be set as the caption.

Returns

• True if the text caption is successfully changed, False otherwise.

Example

success = video_bot.change_video_text("New Text Content")

change_video(video_path: str, foldername=None) -> bool

Upload a video to Canva, set it as a background, and transfer the edited video to a designated folder.

Parameters

• video_path: The path to the video file to be uploaded.
• foldername (optional): The name of the google drive folder. Should be provided if DriveUpload lines are not commented.

Returns

• True if the video is successfully processed and transferred, False otherwise.

Example

success = video_bot.change_video('~path/to/your/video.mp4', 'custom_folder')

Additional Notes

• The CanvaVideo class utilizes the CanvaBot functionalities for login and navigation to the video workspace.
• Video-related actions, such as changing text captions and uploading videos, can be performed using the provided methods.

Closing the Instance

# Close the CanvaVideo instance
video_bot.Close()

The Close method is called to quit the Chrome webdriver and close the browser window associated with the CanvaVideo instance.

Single Use Example

from CanvaBot import CanvaVideo

bot = CanvaVideo()

change_text = bot.change_video_text("Video Text Content")

change_video = bot.change_video(".path/to/video.mp4")

bot.Close()

Used in iteration

from CanvaBot import CanvaVideo

texts = ["Former Text Content", "Latter Text Content"]
video_paths = ["path/to/video1.mp4", "path/to/video2.mp4"]
bot = CanvaVideo()

for text, video_path in zip(texts, video_paths):
  change_text = bot.change_text(text)
  if not change_text:
    print("Error while changing a text")
    break

  change_video = bot.change_video(image_path)
  if not change_video:
    print("Error while changing a video")
    break

bot.Close()

License

This project is licensed under the MIT License.