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Automate Instagram influencer lead collection with Apify, GPT and PostgreSQL

Fayzul NoorFayzul Noor
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2/3/2026
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Screen Shot 20251019 at 3.59.42 PM.png This workflow is built for digital marketers, sales professionals, influencer agencies, and entrepreneurs who want to automate Instagram lead generation. If you’re tired of manually searching for profiles, copying email addresses, and updating spreadsheets, this automation will save you hours every week. It turns your process into a smart system that finds, extracts, and stores leads while you focus on growing your business.

How it works / What it does

This n8n automation completely transforms how you collect Instagram leads using AI and API integrations.

Here’s a simple breakdown of how it works:

  • Set your targeting parameters using the Edit Fields node. You can specify your platform (Instagram), field of interest such as “beauty & hair,” and target country like “USA.”

  • Generate intelligent search queries with an AI Agent powered by GPT-4o-mini. It automatically creates optimized Google search queries to find relevant Instagram profiles in your chosen niche and location.

  • Extract results from Google using Apify’s Google Search Scraper, which collects hundreds of Instagram profile URLs that match your search criteria.

  • Fetch detailed Instagram profile data using Apify’s Instagram Scraper. This includes usernames, follower counts, and profile bios where contact information usually appears.

  • Use AI to extract emails from the profile biographies with the Information Extractor node powered by GPT-3.5-turbo. It identifies emails even when they are hidden or creatively formatted.

  • Store verified leads in a PostgreSQL database. The workflow automatically adds new leads or updates existing ones with fields like username, follower count, email, and niche.

Once everything is set up, the system runs on autopilot and keeps building your database of quality leads around the clock.

How to set up

Follow these steps to get your Instagram Lead Generation Machine running:

  1. Import the JSON file into your n8n instance.

  2. Add your API credentials:

  3. Apify token for the Google and Instagram scrapers

  4. OpenAI API key for the AI-powered nodes

  5. PostgreSQL credentials for storing leads

  6. Open the Edit Fields node and set your platform, field of interest, and target country.

  7. Run the workflow manually using the Manual Trigger node to test it.

Once confirmed, replace the manual trigger with a schedule or webhook to run it automatically. Check your PostgreSQL database to ensure the leads are being saved correctly.

Requirements

Before running the workflow, make sure you have the following:

  • An n8n account or instance (self-hosted or n8n Cloud)

  • An Apify account for accessing the Google and Instagram scrapers

  • OpenAI API access for generating smart search queries and extracting emails

  • A PostgreSQL database to store your leads

  • Basic understanding of how n8n workflows and nodes operate

How to customize the workflow

This workflow is flexible and can be customized to fit your business goals. Here’s how you can tailor it:

  • Change your niche or location by updating the Edit Fields node. You can switch from “beauty influencers in the USA” to “fitness coaches in Canada” in seconds.

  • Add more data fields to collect additional information such as engagement rates, bio keywords, or profile categories. Just modify the PostgreSQL node and database schema.

  • Connect to your CRM or email system to automatically send introduction emails or add new leads to your marketing pipeline.

  • Use different triggers such as a scheduled cron trigger for daily runs or a webhook trigger to start the workflow through an API call.

  • Filter higher-quality leads by adding logic to capture only profiles with a minimum number of followers or verified emails.

Automate Instagram Influencer Lead Collection with Apify, GPT, and PostgreSQL

This n8n workflow automates the process of collecting Instagram influencer leads, enriching their data using AI, and storing them in a PostgreSQL database. It's designed to streamline lead generation for marketing, outreach, or sales teams targeting Instagram influencers.

What it does

This workflow performs the following key steps:

  1. Triggers Manually: The workflow is initiated manually by clicking "Execute workflow".
  2. Fetches Instagram Data (Placeholder): It includes an HTTP Request node, which is typically used to fetch data from an external API. In the context of the directory name, this node is likely intended to interact with a service like Apify to scrape Instagram profiles.
  3. Processes Data for AI (Code): A Code node is used to prepare the data, likely formatting it or extracting specific fields, before sending it to an AI agent.
  4. Loops Through Items: The Loop Over Items (Split in Batches) node processes the collected data in batches, allowing for efficient handling of multiple influencer profiles.
  5. Extracts Information with AI (Information Extractor): An AI Agent node, specifically configured as an Information Extractor with an OpenAI Chat Model, is used to parse and extract structured information from the raw Instagram data. This could include details like follower count, engagement rate, niche, contact information, etc.
  6. Edits and Structures Fields (Set): The Edit Fields (Set) node refines the extracted data, ensuring it's in the correct format and contains only the necessary fields for storage.
  7. Splits Out Data: The Split Out node further processes the data, possibly to handle nested arrays or to prepare individual records for database insertion.
  8. Stores Data in PostgreSQL: Finally, the Postgres node inserts the enriched influencer data into a PostgreSQL database.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • PostgreSQL Database: Access to a PostgreSQL database to store the influencer leads. You'll need credentials (host, port, database, user, password).
  • OpenAI API Key: For the OpenAI Chat Model used by the Information Extractor AI Agent.
  • Apify Account (Implied): Based on the directory name, an Apify account (or similar web scraping service) would be needed to actually fetch Instagram data, which would then be consumed by the HTTP Request node.
  • Basic JavaScript knowledge (Optional but Recommended): For customizing the Code node if specific data transformations are required.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • PostgreSQL: Configure the Postgres node with your database credentials.
    • OpenAI: Set up an OpenAI credential for the OpenAI Chat Model.
  3. Configure HTTP Request (if using Apify):
    • Update the HTTP Request node to call your Apify Instagram scraper or any other API that provides Instagram influencer data. You'll need to configure the URL, headers (e.g., API keys), and any request body as required by the external service.
  4. Customize AI Agent:
    • Review and adjust the Information Extractor node's prompt and schema to accurately extract the desired information from the Instagram data.
  5. Adjust Code Node:
    • If the data from your HTTP Request node needs specific pre-processing before the AI Agent, modify the Code node accordingly.
  6. Run the Workflow: Click "Execute workflow" on the Manual Trigger node to start the lead collection process.

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