Facebook Ads Competitive Analysis with Gemini & OpenAI
Scrapes competitor Facebook ads by keyword, analyzes images/videos with AI (OpenAI & Gemini), compiles insights, and saves to Google Sheets for marketing strategy.
This workflow automates competitive intelligence for Facebook ads. Users submit a keyword via a form trigger, prompting the system to scrape matching ads from the Facebook Ads Library using Apify or HTTP requests. Ads are filtered by media type—images or videos—via a switch node, ensuring targeted processing.
Images are analyzed with OpenAI to extract visual descriptions and overlaid text, while videos are downloaded, processed, and evaluated by Gemini for both visual elements and spoken content. All data, including ad text, URLs, and AI-generated media insights, is compiled into a structured format.
Insights are exported to a Google Sheet for easy review and sharing. Benefits include time-saving automation of manual ad research, deeper competitive analysis via AI, and actionable data for campaign optimization. Ideal use cases: marketers refining ad creatives, agencies benchmarking clients, or e-commerce teams spying on rivals—setup takes 15-20 minutes with API keys for Apify, Gemini, OpenAI, and Sheets.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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