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Find Instagram collaboration leads using Apify scraping and GPT-4o evaluation

Robert BreenRobert Breen
1022 views
2/3/2026
Bulk UpdateData TransformationData SyncHTTP RequestAPI Integration
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This no-code n8n workflow finds recent Instagram posts by hashtag, scrapes profile data, and uses an AI agent to evaluate whether each account is a good collaboration lead. The workflow filters based on the number of followers and the content of their bio, and outputs structured reasoning for outreach decisions.

Perfect for creators, marketers, or business developers looking to automate influencer or community partnership prospecting—especially in niche ecosystems like n8n.

✅ Key Features

  • 🔍 Hashtag Discovery: Finds recent Instagram posts from a specified hashtag (e.g., #n8n)
  • 👤 Account Scraping: Retrieves profile details such as follower count and biography
  • 🧠 AI Evaluation: Uses OpenAI and LangChain to determine if the profile is a good fit for outreach
  • 📦 Structured Output: Returns a JSON object with "Yes/No" lead status and reasoning
  • 🛠️ Manual Execution: Run on demand using the manual trigger

🧰 What You'll Need

| Tool / API | Purpose | Setup Steps | |-------------------------|------------------------------------------|-------------| | Apify Account | To access Instagram scraping actors | Create account → Generate API Token → Use in httpQueryAuth credential in n8n | | OpenAI API Key | To power the AI decision-making agent | Sign up at OpenAI → Create API key → Paste into OpenAI credential in n8n | | LangChain Plugin for n8n | AI Orchestration with System Message | Install LangChain nodes from Community Nodes (already installed in this workflow) |

🔧 Step-by-Step Setup

1️⃣ Manual Trigger

  • Node: When clicking ‘Execute workflow’
  • Use: Allows you to run the workflow manually while testing.

2️⃣ Define Hashtag

  • Node: Create Search Term
  • Value: Sets "n8n" as the default Instagram hashtag to scan.
  • You can edit this to any other hashtag you'd like.

3️⃣ Find Recent Posts

  • Node: Find Recent Posts
  • API: Apify Instagram Hashtag Scraper
  • Auth Setup:
    • Go to your Apify Console
    • Click “Create new token”
    • In n8n, create a new HTTP Query Auth credential
      • Set token in the token query param (e.g., ?token=yourTokenHere)
    • Choose the credential in this node

4️⃣ Scrape Each Profile

  • Node: Scrape Accounts
  • API: Apify Instagram Profile Scraper
  • Body: JSON with usernames from the hashtag search
  • Note: Uses the same httpQueryAuth credential as the previous node.

5️⃣ Extract Fields

  • Node: Set bio and follower count
  • What it does: Extracts biography and followersCount from the profile JSON and stores them in clean variables for AI input.

6️⃣ AI Lead Scoring

  • Node: AI Agent
  • Purpose: Uses GPT-4o-mini to analyze the bio and follower count
  • Prompt Details:

7️⃣ AI Model

  • Node: OpenAI Chat Model
  • Model: gpt-4o-mini
  • Credential: Connect your OpenAI account via API Key.
  • Go to OpenAI API Keys
  • Copy your key and create a new OpenAI API credential in n8n.

8️⃣ Output Parser

  • Node: Structured Output Parser
  • What it does: Parses the response from the AI into structured JSON for further use (e.g., storing leads, sending to Airtable, etc.)

🧪 Sample Output

{
"lead status": "Yes",
"Reasoning": "The user has 3.5k followers and their bio shows they build automations with n8n."
}

---

## 📬 Need More Help?

If you'd like assistance setting this up, customizing it to your niche, or expanding it to score and store leads automatically — I can help!

**👤 Robert Breen**  
Automation Consultant | AI Workflow Designer | n8n Expert  
📧 [robert@ynteractive.com](mailto:robert@ynteractive.com)  
🌐 [ynteractive.com](https://ynteractive.com)  
🔗 [LinkedIn](https://www.linkedin.com/in/robert-breen-29429625/)

---

n8n Workflow: AI Agent for Instagram Collaboration Lead Evaluation

This n8n workflow leverages an AI Agent to process and evaluate potential Instagram collaboration leads. It's designed to take raw data, likely from a scraping process, and apply intelligent analysis to identify valuable collaboration opportunities.

What it does

This workflow automates the following steps:

  1. Manual Trigger: The workflow is initiated manually, allowing for on-demand execution.
  2. HTTP Request (Placeholder): A placeholder HTTP Request node is present. In a full implementation, this would likely be used to fetch data from an external source, such as an API that provides scraped Instagram profiles or a database of potential leads.
  3. Edit Fields (Set): A Set node is included for data transformation. This would be used to prepare the data for the AI Agent, potentially renaming fields, extracting specific information, or structuring the input JSON.
  4. AI Agent (Langchain): The core of the workflow, this AI Agent node (powered by Langchain) will process the input data. It's configured to use an OpenAI Chat Model and a Structured Output Parser, indicating it's designed to understand natural language instructions and return data in a predefined, structured format. The agent's role is to evaluate the provided Instagram lead data against specific criteria to determine collaboration potential.
  5. OpenAI Chat Model (Langchain): This sub-node within the AI Agent is responsible for the actual AI processing, using OpenAI's chat capabilities to perform the evaluation.
  6. Structured Output Parser (Langchain): This sub-node ensures that the AI Agent's output is formatted consistently, likely into a JSON object, making it easy for subsequent nodes to consume and act upon the evaluation results.
  7. Sticky Note: A sticky note is present, likely for documentation or temporary notes within the workflow design.

Prerequisites/Requirements

  • n8n Instance: A running instance of n8n.
  • OpenAI API Key: Configured as a credential within n8n for the OpenAI Chat Model.
  • Apify Account (Implied): While not directly in the JSON, the directory name "7019-find-instagram-collaboration-leads-using-apify-scraping-and-gpt-4o-evaluation" strongly suggests that Apify is used upstream to scrape Instagram data, which this workflow would then process. You would need an Apify account and an Apify Actor to perform the scraping.
  • Understanding of AI Agent configuration: Familiarity with configuring Langchain AI Agents in n8n, including defining prompts, tools, and output structures.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI API Key as an n8n credential and link it to the "OpenAI Chat Model" node within the "AI Agent".
  3. Customize HTTP Request (if applicable): If you intend to fetch data from an external source, configure the "HTTP Request" node with the appropriate URL, headers, and body to retrieve your Instagram lead data.
  4. Configure Edit Fields (Set): Adjust the "Edit Fields" node to transform your raw input data into a format suitable for the AI Agent. This might involve mapping fields, extracting specific values, or creating new properties.
  5. Configure AI Agent:
    • Prompt Engineering: The most crucial step is to define the prompt for the "AI Agent" node. This prompt should clearly instruct the AI on how to evaluate an Instagram profile for collaboration potential. For example, it could ask the AI to consider follower count, engagement rate, niche relevance, content quality, and brand alignment.
    • Structured Output: Define the expected output structure in the "Structured Output Parser" node. This will guide the AI to return its evaluation in a consistent JSON format (e.g., {"is_good_lead": true, "reason": "...", "score": 8, "suggested_action": "..."}).
  6. Execute the Workflow: Click "Execute Workflow" on the "Manual Trigger" node to run the workflow and process your leads.
  7. Review Results: Inspect the output of the "AI Agent" node to see the AI's evaluation of your Instagram collaboration leads. You can then add subsequent nodes to, for example, save the evaluated leads to a database, send notifications, or further filter them.

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