ManualTrigger Automate

This workflow is ideal for social media managers, digital marketers, and developers who want to automate the process of updating Twitter profile banners based on new followers. It caters to those looking to enhance their Twitter presence with personalized graphics, leveraging automated image processing and integration with Twitter's API.

This workflow addresses the challenge of manually updating Twitter profile banners to reflect new followers. By automating the process, it saves time and effort, ensuring that profile banners can be updated quickly and efficiently, providing a fresh and engaging look that can attract more followers.

1. Manual Trigger: The workflow starts when the user clicks 'execute'.
2. Fetch New Followers: It retrieves the latest followers from Twitter using the Twitter API, limiting the results to 3 followers at a time.
3. Item Lists: The follower data is processed to separate the relevant information into manageable items.
4. Fetching Images: For each follower, their profile image is fetched and resized to 200x200 pixels.
5. Crop: The images are then cropped into circular shapes to create a visually appealing avatar.
6. Resize: The cropped images are further resized to 75x75 pixels for optimal display.
7. Function Node: A function node compiles the binary data of the avatars into a structured format.
8. Fetch Background Image: A background image for the banner is fetched from a specified URL.
9. Merge: The background image and the avatars are merged together into a single image.
10. Edit Image: The final composite image is prepared for upload by layering the avatars onto the background.
11. HTTP Request: Finally, the completed image is uploaded to Twitter as the new profile banner using the Twitter API.