Ai prospect researcher +ISCP only need company name and domain

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Prospect Researcher +ISCP only from Domain and Company Name This workflow finds available email addresses, researches the company using public data (LinkedIn, website scraping, etc.), calculates...

Best for

Lead Generation automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.hunter, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.set, n8n-nodes-base.airtop, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.merge

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by LukaszB.

Original n8n.io source

1.1 Workflow description

Title: Ai prospect researcher +ISCP only need company name and domain
Workflow name: Ai prospect researcher +ISCP only need company name and domain

AI Prospect Researcher +ISCP only from Domain and Company Name

This workflow finds available email addresses, researches the company using public data (LinkedIn, website scraping, etc.), calculates the ISCP score, and delivers a complete, ready-to-use report.

This workflow is designed for professionals and teams seeking to scale their B2B research with comprehensive company intelligence. It automates the full prospect analysis process — from extracting contact data and scraping website content to gathering market insights and generating structured reports with GPT-4.

Using a combination of Hunter.io, Perplexity AI, Airtop, and OpenAI, this system creates a detailed Google Doc profile for each company, complete with decision-maker identification and ISCP scoring. Whether you're conducting market research, qualifying leads, or preparing investor briefings — this tool delivers actionable business intelligence in minutes, without manual data collection.

The process is battle-tested, with built-in error handling, and suitable for sales teams, market researchers, or founders conducting competitive analysis.

How it works

Once triggered (via form or spreadsheet), the workflow:

Uses Hunter.io to discover professional emails associated with the domain
Leverages Perplexity AI to gather web-wide company intelligence and industry context
Scrapes the company website using Airtop to extract services, products, and key pages
Optionally enriches with LinkedIn data via Apify (company size, specialties)
Processes all inputs through GPT-4 to:
- Generate an executive summary
- Identify potential decision-makers
- Calculate an Ideal Service Customer Profile (ISCP) match score
Produces a finalized report in Google Docs with:
- Company overview
- Key contacts
- Market positioning
- Recommended outreach approach

This is a turnkey solution for teams who need deep company profiles without the hours of manual research and data stitching.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Hunter

Type / Role: n8n-nodes-base.hunter - hunter
Config choices: Version 1

Block 2 - Perplexity Search

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 3 - Wait1

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 4 - Company LinkedIn Account POST

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Company LinkedIn Account GET

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 6 - Set Results Company

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 7 - Search profile

Type / Role: n8n-nodes-base.airtop - airtop
Config choices: Version 1

Block 8 - Scrape webpage

Type / Role: n8n-nodes-base.airtop - airtop
Config choices: Version 1

Block 9 - Analyze scraped Page

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 10 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 11 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 12 - Add report to doc

Type / Role: n8n-nodes-base.googleDocs - googleDocs
Config choices: Version 2

Block 13 - Create doc

Type / Role: n8n-nodes-base.googleDocs - googleDocs
Config choices: Version 2

Block 14 - OpenAI Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 15 - Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 16 - Hunter Results

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 17 - Perplexity Results

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 18 - Generate report

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.6

Block 19 - Get Offer

Type / Role: n8n-nodes-base.googleDocs - googleDocs
Config choices: Version 2

Block 20 - OpenAI Chat Model3

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 21 - ISCP score

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 22 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 23 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 36 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Ai prospect researcher +ISCP only need company name and domain
Complexity	advanced
Nodes	36
Categories	Lead Generation, AI Summarization
Author	LukaszB
Published	11 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4882/4882.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Lead Generation workflows AI Summarization workflows

Frequently asked questions

What does Ai prospect researcher +ISCP only need company name and domain do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.

LukaszB

23 workflows

Nodes

n8n-nodes-base.hunter n8n-nodes-base.httprequest n8n-nodes-base.wait n8n-nodes-base.set n8n-nodes-base.airtop @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.merge

Complexity

advanced

Published 11 Jun 2025

Likes 0

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Install path: /data/workflows/4882/4882.json

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Ai prospect researcher +ISCP only need company name and domain

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI Prospect Researcher +ISCP only from Domain and Company Name

This workflow finds available email addresses, researches the company using public data (LinkedIn, website scraping, etc.), calculates the ISCP score, and delivers a complete, ready-to-use report.

How it works

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Hunter

Block 2 - Perplexity Search

Block 3 - Wait1

Block 4 - Company LinkedIn Account POST

Block 5 - Company LinkedIn Account GET

Block 6 - Set Results Company

Block 7 - Search profile

Block 8 - Scrape webpage

Block 9 - Analyze scraped Page

Block 10 - OpenAI Chat Model

Block 11 - Merge

Block 12 - Add report to doc

Block 13 - Create doc

Block 14 - OpenAI Chat Model2

Block 15 - Aggregate

Block 16 - Hunter Results

Block 17 - Perplexity Results

Block 18 - Generate report

Block 19 - Get Offer

Block 20 - OpenAI Chat Model3

Block 21 - ISCP score

Block 22 - Structured Output Parser

Block 23 - Sticky Note

Block 24 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions