Auto Search Facebook Ad Products on Amazon via Apify Scrapers
Scrapes products from Facebook Ad Library URLs using Apify, then searches for matches on Amazon. Perfect for dropshipping and Amazon FBA product research.
This n8n workflow automates the process of extracting product information from Facebook ads in the Ad Library and searching for those same products on Amazon. It starts with a manual trigger, sends requests to an Apify actor to scrape Facebook ad details (including up to 10 ads per run with options for active status), and uses a loop to process multiple items efficiently. A second Apify scraper then queries Amazon for matching products based on the extracted data.
Key benefits include significant time savings for e-commerce sellers by automating manual product research across platforms. It handles scraping complexities like ad details and pagination, ensuring reliable data extraction without coding. The workflow supports customization via JSON parameters for ad count, status filters, and URLs, making it adaptable to various campaigns.
Ideal use cases: Dropshippers scouting trending Facebook ads for quick Amazon sourcing; Amazon FBA sellers validating product viability by checking availability, pricing, and reviews; Marketers monitoring competitor ads for procurement opportunities. Setup requires Apify actor API integrations, after which it runs seamlessly on demand.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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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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