Automate Product Research with AI-Powered Reverse Image Search & Web Scraping
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This workflow leverages AI to automate product research by performing reverse image searches and scraping relevant web content. It integrates with Airtable to find products needing research and uses OpenAI's GPT-4o for sophisticated analysis.
About This Workflow
This n8n workflow is designed to streamline the process of product research and market analysis. It begins by identifying items in an Airtable base that require attention, specifically those with an image but without an AI status. These items are then processed through an OpenAI Chat Model (GPT-4o) for intelligent analysis. Crucially, the workflow incorporates a powerful reverse image search functionality using SerpApi, enabling it to find similar products across the web. Following the image search, it utilizes Firecrawl to scrape detailed information from the identified URLs. This allows for comprehensive data collection on product availability, pricing, and descriptions, directly feeding into your product development and marketing strategies.
Key Features
- AI-Powered Product Identification: Automatically find products in your Airtable base that need research.
- Intelligent Analysis: Utilizes OpenAI's GPT-4o for sophisticated understanding of product data.
- Reverse Image Search: Discover where similar products are sold online using SerpApi.
- Targeted Web Scraping: Extracts detailed information from relevant product pages with Firecrawl.
- Seamless Integration: Connects Airtable, OpenAI, SerpApi, and Firecrawl for end-to-end automation.
How To Use
- Configure Airtable Node: Connect your Airtable account and specify the base and table containing your product inventory. Set the
filterByFormulatoAND(Image!="", AI_status=FALSE())to target items needing AI processing. - Set Up OpenAI Chat Model: Authenticate with your OpenAI account and select the
gpt-4omodel. Ensure the temperature is set to0for deterministic output. - Integrate Reverse Image Search Tool: Define the
reverse_image_searchtool, providing a clear description and the SerpApi Google Reverse Image route (serp.google_reverse_image). This tool expects animage_urlin its request body. - Configure SerpApi Reverse Image Search: Set up the
httpRequestnode to call the SerpApisearch.jsonendpoint withengine=google_reverse_imageand dynamically provide theimage_urlfrom the previous step. - Process Image Search Results: Use a
setnode to extract and format relevant information from the SerpApi response, such asposition,title,link, anddescription. - Integrate Web Scraping Tool: Define the
scrapetool, specifying the Firecrawl API endpoint and the requiredurlparameter. - Configure Firecrawl Scrape API: Set up the
httpRequestnode to POST to the Firecrawlv0/scrapeAPI. Provide your Firecrawl API key in the credentials and pass the scraped URL from the image search results as theurlin the request body. - Handle Scrape Success/Failure: Use an
ifnode to check thesuccessstatus from the Firecrawl response. Based on the result, use subsequentsetnodes to format either a successful scrape response or a fallback error message.
Apps Used
Workflow JSON
{
"id": "0b999682-2c64-4933-818b-c445ed1b0e0f",
"name": "Automate Product Research with AI-Powered Reverse Image Search & Web Scraping",
"nodes": 15,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 0b999682-2c64...
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