n8n workflow template · 14 nodes · OpenAI
AI web researcher for sales is a free n8n workflow template that runs on a schedule and works with OpenAI, SerpApi and Google Sheets. It has 14 nodes, 6 of them AI nodes (OpenAI Chat Model, Call n8n Workflow Tool, SerpApi Tool and Structured Output Parser). The notes inside the workflow say: “This workflow allows you to do account research with the web using AI.” To run it, you add your own credentials for Google Sheets OAuth2, OpenAI API and Serp API.
The text below comes from the sticky notes inside the workflow. We removed links, code samples and anything that looks like a key or token.
This workflow allows you to do account research with the web using AI.
The advanced AI module has 2 capabilities
From an unstructured input like a domain or a company name.
It will return the following properties
The strength of n8n here is that you can adapt this workflow to research whatever information you need.
You just have to precise it in the prompt and to precise the output format in the "Strutured Output Parser" module.
Click here to find more detailed instructions with video guide.
Run the workflow manually or activate it to run it every 2 hours
In this workflow, I use Google Sheets to store the results.
You can use my template to get started faster
This module will allow us to process rows 1 by 1
Precise here the format in which you need the data to be
The text below comes from the sticky notes inside the workflow. We removed links, code samples and anything that looks like a key or token.
Get your free API key here
Instead of SERP API module, you can also use this custom module for ScrapingBee. It is more cost-efficient.
Get your free API key here
The 14 nodes in file order (sticky notes excluded). Branches and connections determine execution order in n8n:
Configure your own credentials after importing. Create each credential in n8n, then select it in the node.
Do you need somewhere to run it? Read our guide to self-hosted n8n.
We can adapt this workflow to your apps, data and process, then deploy and support it.
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