Optimisation de produits de e-commerce - Bright Data et OpenAI

• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Clé API OpenAI

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        "content": "This n8n workflow automates scraping Amazon product data and uses it for fine-tuning a custom OpenAI model for marketing copy.\n\n## Steps Overview\n\n1. **Manual Trigger:**  \n   The workflow starts when you click \"Execute workflow\" in n8n.\n\n2. **Bright Data Node:**  \n   Scrapes product data from a list of Amazon URLs using Bright Data's web scraper integration.\n\n3. **Code Node:**  \n   Processes the scraped product data:\n   - Generates training examples (system prompt, user prompt, assistant response) for each product.\n   - Aggregates these examples into a `.jsonl` file formatted for OpenAI fine-tuning.\n\n4. **OpenAI File Upload Node:**  \n   Uploads the `.jsonl` training file to OpenAI, declaring it for use in fine-tuning.\n\n5. **HTTP Request Node:**  \n   Starts a fine-tuning job for an OpenAI GPT model using the uploaded file.\n\n6. **Chat/Agent Subworkflow:**  \n   Contains a chat trigger and an AI agent. This uses the newly fine-tuned OpenAI model to generate product descriptions or marketing content via chat.\n\n---\n\n**Important:**  \nYou must replace the placeholder API credentials and IDs in the workflow (Bright Data API, OpenAI API, and the fine-tuned model ID in the agent node) with your own valid keys and model identifiers for the workflow to function correctly.\n"
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