This n8n workflow is designed to automate the process of extracting, analyzing, and storing competitor Facebook ads for strategic marketing intelligence. It begins with a manual trigger, prompting the user to start the process. The workflow then uses the Apify API to scrape active Facebook ads based on specific search terms, filtering out low-engagement ads (less than 1000 likes). The ads are categorized by content type—video, image, or text—using a switch node.

For video ads, the workflow downloads the video, uploads it to Google Drive, and initiates an analysis with Gemini AI to generate detailed descriptions and summaries. The video content is then further processed through Gemini’s API for in-depth understanding and innovative rewriting of the ad copy.

Image ads undergo a visual analysis with GPT-4 Vision, producing detailed insights into the visual content. Similarly, text-only ads are summarized and rewritten for strategic analysis. All insights—summaries, ad copy rewrites, prompts, and media descriptions—are stored in a Google Sheet, creating a comprehensive competitor intelligence database.

This workflow is particularly useful for marketing agencies and brands seeking to monitor competitors’ ad strategies across multimedia formats. It enables detailed, automated ad content analysis at scale, providing actionable insights for campaign optimization, competitive benchmarking, and offering competitive intelligence as a service.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.openAi, filter, googleDrive, googleSheets, httpRequest, manualTrigger, splitInBatches, stickyNote, switch, wait