Extract insights from LinkedIn with Apify, Pinecone Assistant, and GPT-4.1

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1. Workflow Overview

Try it out This n8n workflow template lets you extract insights from comments on...

Best for

Market Research automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, @apify/n8n-nodes-apify.apify, n8n-nodes-base.converttofile, n8n-nodes-base.filter, n8n-nodes-base.set, @pinecone-database/n8n-nodes-pinecone-assistant.pineconeassistant, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.chattrigger

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Extract insights from LinkedIn with Apify, Pinecone Assistant, and GPT-4.1
Workflow name: Extract insights from LinkedIn with Apify, Pinecone Assistant, and GPT-4.1

Try it out

This n8n workflow template lets you extract insights from comments on your LinkedIn posts using Pinecone Assistant, Apify, and OpenAI. It scrapes LinkedIn comments using Apify and then retrieves relevant context from this data using Pinecone Assistant and generates insights with OpenAI, all without the need to train your own LLM.

What is Pinecone Assistant?

Pinecone Assistant allows you to build production-grade chat and agent-based applications quickly. It abstracts the complexities of implementing retrieval-augmented (RAG) systems by managing the chunking, embedding, storage, query planning, vector search, model orchestration, reranking for you.

Prerequisites

Setup

Create a Pinecone Assistant in the Pinecone Console here
Name your Assistant n8n-assistant
No need to configure a Chat model or Assistant instructions
Use the Connect to Pinecone button to authenticate to Pinecone or if you self-host n8n, create a Pinecone credential and add your Pinecone API key directly
Setup the Open AI and Apify credentials in n8n
In the Set LinkedIn url node, enter your LinkedIn profile url, for a personal or company profile
Select your Assistant Name in each of the Pinecone Assistant nodes, if it's not already
Schedule or manually execute Step 1 and 2 to extract the LinkedIn comment data and upload to Pinecone Assistant
Once the data is uploaded, ask a question in the chat: Summarize the comments related to [SOME TOPIC YOU TALK ABOUT] and categorize into positive, neutral, and negative.

Ideas for customizing this workflow

Connect to other social platforms to extract insights from Instagram, X/Twitter, etc. in addition to LinkedIn

Need help?

You can find help by asking in the Pinecone Discord community or filing an issue on this repo.

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 - Run weekly

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.3

Block 2 - Get dataset items

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

Block 3 - Convert to File

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

Block 4 - Filter posts

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

Block 5 - Extract comments

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

Block 6 - Upload file

Type / Role: @pinecone-database/n8n-nodes-pinecone-assistant.pineconeAssistant - pineconeAssistant
Config choices: Version 1.2

Block 7 - If has comments

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

Block 8 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.4

Block 9 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 10 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 11 - Sticky Note1

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

Block 12 - Sticky Note

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

Block 13 - Sticky Note2

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

Block 14 - Run actor to scrape data

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

Block 15 - Sticky Note7

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

Block 16 - Set LinkedIn url

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

Block 17 - Pinecone Assistant tool

Type / Role: @pinecone-database/n8n-nodes-pinecone-assistant.pineconeAssistantTool - pineconeAssistantTool
Config choices: Version 1.2

3. Summary Table

Workflow	Extract insights from LinkedIn with Apify, Pinecone Assistant, and GPT-4.1
Complexity	advanced
Nodes	17
Categories	Market Research, AI RAG
Author	Pinecone
Published	28 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13064/13064.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 Market Research workflows AI RAG workflows

Frequently asked questions

What does Extract insights from LinkedIn with Apify, Pinecone Assistant, and GPT-4.1 do?

Try it out This n8n workflow template lets you extract insights from comments on...

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 Market Research, AI RAG use case.

Pinecone

4 workflows

Nodes

n8n-nodes-base.scheduletrigger @apify/n8n-nodes-apify.apify n8n-nodes-base.converttofile n8n-nodes-base.filter n8n-nodes-base.set @pinecone-database/n8n-nodes-pinecone-assistant.pineconeassistant n8n-nodes-base.if @n8n/n8n-nodes-langchain.chattrigger

Complexity

advanced

Published 28 Jan 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/13064/13064.json

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Extract insights from LinkedIn with Apify, Pinecone Assistant, and GPT-4.1

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Try it out

What is Pinecone Assistant?

Prerequisites

Setup

Ideas for customizing this workflow

Need help?

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Run weekly

Block 2 - Get dataset items

Block 3 - Convert to File

Block 4 - Filter posts

Block 5 - Extract comments

Block 6 - Upload file

Block 7 - If has comments

Block 8 - When chat message received

Block 9 - AI Agent

Block 10 - OpenAI Chat Model

Block 11 - Sticky Note1

Block 12 - Sticky Note

Block 13 - Sticky Note2

Block 14 - Run actor to scrape data

Block 15 - Sticky Note7

Block 16 - Set LinkedIn url

Block 17 - Pinecone Assistant tool

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