Enrich new Airtable leads from LinkedIn using Bright Data, GPT-5-mini and Slack

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1. Workflow Overview

What this workflow does Automatically enriches every new LinkedIn lead added to your Airtable base with AI structured data and notifies your team in Slack. How it works 1. Airtable Trigger polls fo...

Best for

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

Tools used

@brightdata/n8n-nodes-brightdata.brightdata, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.airtable, n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.airtabletrigger

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Enrich new Airtable leads from LinkedIn using Bright Data, GPT-5-mini and Slack
Workflow name: Enrich new Airtable leads from LinkedIn using Bright Data, GPT-5-mini and Slack

What this workflow does

Automatically enriches every new LinkedIn lead added to your Airtable base with AI-structured data and notifies your team in Slack.

How it works

Airtable Trigger polls for new leads every minute
BrightData scrapes the LinkedIn profile
OpenAI GPT-5-mini extracts a clean structured schema
Airtable is updated with all enrichment fields
Slack gets a beautifully formatted notification

Prerequisites

Airtable base with a "Leads" table (field list included)
BrightData account with LinkedIn people profiles dataset
OpenAI API key
Slack workspace

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 - Scrape LinkedIn Profile

Type / Role: @brightdata/n8n-nodes-brightdata.brightData - brightData
Config choices: Version 1

Block 2 - Extract Structured Data

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 2.1

Block 3 - Update Airtable Record

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 2.2

Block 4 - Notify Slack

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.4

Block 5 - Sticky Note

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

Block 6 - Sticky Note1

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

Block 7 - Sticky Note2

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

Block 8 - Sticky Note3

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

Block 9 - Sticky Note4

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

Block 10 - Sticky Note5

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

Block 11 - Airtable Trigger1

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

3. Summary Table

Workflow	Enrich new Airtable leads from LinkedIn using Bright Data, GPT-5-mini and Slack
Complexity	intermediate
Nodes	11
Categories	Lead Generation, AI Summarization
Author	ToolMonsters
Published	22 Apr 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15247/15247.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 Enrich new Airtable leads from LinkedIn using Bright Data, GPT-5-mini and Slack 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.

ToolMonsters

5 workflows

Nodes

@brightdata/n8n-nodes-brightdata.brightdata @n8n/n8n-nodes-langchain.openai n8n-nodes-base.airtable n8n-nodes-base.slack n8n-nodes-base.stickynote n8n-nodes-base.airtabletrigger

Complexity

intermediate

Published 22 Apr 2026

Likes 0

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Install path: /data/workflows/15247/15247.json

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Enrich new Airtable leads from LinkedIn using Bright Data, GPT-5-mini and Slack

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What this workflow does

How it works

Prerequisites

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Scrape LinkedIn Profile

Block 2 - Extract Structured Data

Block 3 - Update Airtable Record

Block 4 - Notify Slack

Block 5 - Sticky Note

Block 6 - Sticky Note1

Block 7 - Sticky Note2

Block 8 - Sticky Note3

Block 9 - Sticky Note4

Block 10 - Sticky Note5

Block 11 - Airtable Trigger1

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