This n8n workflow automates the process of gathering Amazon keyword suggestions, processing them, and storing them in Airtable. Designed primarily for Amazon FBA sellers or marketers, it helps generate relevant keywords for products without manual effort.
The workflow begins with a webhook that receives a keyword input from the user. It then retrieves existing data from Airtable to identify the product or category context. Using this keyword, it makes an API request to Amazon’s keyword suggestion service, capturing a list of suggested keywords.
The suggested keywords are split and aggregated, then combined into a single string for easy review or further use. Finally, the combined keywords are stored back into Airtable, updating existing entries or creating new ones based on the workflow’s logic.
Throughout the process, sticky notes provide guidance and context, making the workflow suitable for DIY automation enthusiasts interested in enhancing their Amazon product research capabilities without coding.
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