🎬 Personalize Instagram trends for custom skin tones with GPT-4o, DALL-E & Slack
⚡ 64 views · 🎬 Content Creation & Video
💡 Pro Tip — Heads up — if this workflow’s Instagram scraping breaks (it happens whenever Meta updates their frontend), ScraperNode is a community node that handles profiles, posts, reels, and comments without any HTML parsing.
Description
Who is it for Beauty & Fashion Consultants: To visualize trends for specific client profiles. Content Creators: To generate personalized variations of trending aesthetics. Trend Watchers: To automate the collection and adaptation of social media designs. How it works Configuration: You define the target hashtags (e.g., #trendnails) and the target skin tone (e.g., “Yellow Base Spring”) in the set node. Scraping: The workflow uses Apify to scrape the latest top posts from Instagram based on your hashtags. Analysis & Prompting: GPT-4o (Vision) analyzes the original image to understand the pattern and atmosphere, then generates a new prompt optimized for the specified skin tone. Generation: DALL-E 3 creates a new image based on the generated prompt. Delivery: The final personalized image is uploaded directly to a Slack channel. How to set up Apify: Create an account and get your API Token. Ensure you have access to the instagram-hashtag-scraper actor. OpenAI: You need an API Key with access to GPT-4o and DALL-E 3. Slack: Connect your Slack account with OAuth2 in n8n. Workflow Configuration: Open the “Workflow Configuration” node and fill in your apifyApiToken, desired hashtags, and skinTone. Requirements Apify account OpenAI API key (GPT-4o & DALL-E model access) Slack account
🔗 Nodes Used
HTTP Request, Slack, OpenAI
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File