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Instagram visual analysis with Apify scraping, OpenAI GPT-5 & Google Sheets

Robert BreenRobert Breen
971 views
2/3/2026
ShopifyData TransformationCustomer DataE-commerceAPI Integration
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Pull recent Instagram post media for any username, fetch the image binaries, and run automated visual analysis with OpenAI — all orchestrated inside n8n. This workflow uses a Google Sheet to supply target usernames, calls Apify’s Instagram Profile Scraper to fetch recent posts, downloads the images, and passes them to an OpenAI vision-capable model for structured analysis. Results can then be logged, stored, or routed onward depending on your use case.

🧑‍💻 Who’s it for

  • Social media managers analyzing competitor or brand posts
  • Marketing teams tracking visual trends and campaign content
  • Researchers collecting structured insights from Instagram images

⚙️ How it works

  1. Google Sheets – Supplies Instagram usernames (one per row).
  2. Apify Scraper – Fetches latest posts (images and metadata).
  3. HTTP Request – Downloads each image binary.
  4. OpenAI Vision Model – Analyzes visuals and outputs structured summaries.
  5. Filter & Split Nodes – Ensure only the right rows and posts are processed.

🔑 Setup Instructions

1) Connect Google Sheets (OAuth2)

  1. Go to n8n → Credentials → New → Google Sheets (OAuth2)
  2. Sign in with your Google account and grant access
  3. In the Get Google Sheet node, select your spreadsheet + worksheet (must contain a User column with Instagram usernames)

2) Connect Apify (HTTP Query Auth)

  1. Get your Apify API token at Apify Console → Integrations/API
  2. In n8n → Credentials → New → HTTP Query Auth, add a query param token=<YOUR_APIFY_TOKEN>
  3. In the Scrape Details node, select that credential and use the provided URL:

3) Connect OpenAI (API Key)

  1. Create an API key at OpenAI Platform
  2. In n8n → Credentials → New → OpenAI API, paste your key
  3. In the OpenAI Chat Model node, select your credential and choose a vision-capable model (gpt-4o-mini, gpt-4o, or gpt-5 if available)

🛠️ How to customize

  • Change the Google Sheet schema (e.g., add campaign tags or notes).
  • Adjust the OpenAI system prompt to refine what details are extracted (e.g., brand logos, colors, objects).
  • Route results to Slack, Notion, or Airtable instead of storing only in Sheets.
  • Apply filters (hashtags, captions, or timeframe) directly in the Apify scraper config.

📋 Requirements

  • n8n (Cloud or self-hosted)
  • Google Sheets account
  • Apify account + API token
  • OpenAI API key with a funded account

📬 Contact

Need help customizing this (e.g., filtering by campaign, sending reports by email, or formatting your PDF)?

n8n Workflow: Instagram Visual Analysis with Apify Scraping, OpenAI GPT, and Google Sheets

This n8n workflow automates the process of extracting visual content data from Instagram, analyzing it using OpenAI's GPT model, and then storing the results in a Google Sheet. It's designed to help users gain insights from Instagram posts by leveraging a combination of scraping, AI analysis, and data storage.

What it does

This workflow performs the following key steps:

  1. Manual Trigger: The workflow is initiated manually by the user, allowing for on-demand execution.
  2. HTTP Request (Apify Scraping): It sends an HTTP request, likely to an Apify Instagram scraper, to fetch data from Instagram. This step is responsible for obtaining the raw visual content information.
  3. Filter: The workflow includes a filter node, suggesting that it processes the scraped data and potentially filters items based on specific conditions before further analysis.
  4. Split Out: The filtered data is then split out, which is useful for processing individual items (e.g., individual Instagram posts) in subsequent steps.
  5. AI Agent (OpenAI GPT): Each item (Instagram post data) is passed to an AI Agent node, which uses an OpenAI Chat Model to perform visual analysis. This could involve generating descriptions, sentiment analysis, or extracting specific features from the visual content based on the scraped data.
  6. Google Sheets: Finally, the analyzed data from the AI Agent is written to a Google Sheet, providing a structured and accessible record of the Instagram visual analysis.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Apify Account: An Apify account and potentially an Instagram Scraper actor configured for data extraction.
  • OpenAI API Key: An OpenAI API key with access to their chat models (e.g., GPT-3.5, GPT-4).
  • Google Account: A Google account with access to Google Sheets, and a specific spreadsheet prepared to receive the data.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • HTTP Request: Set up the HTTP Request node with your Apify API endpoint and any necessary authentication (e.g., API token, payload for the Instagram scraper).
    • OpenAI Chat Model: Configure the OpenAI Chat Model node with your OpenAI API Key credential.
    • Google Sheets: Set up the Google Sheets node with your Google account credential, specifying the Spreadsheet ID and Sheet Name where the analyzed data should be written.
  3. Customize Filter (Optional): Adjust the "Filter" node to match your specific criteria for processing Instagram posts.
  4. Customize AI Agent (Optional): Modify the prompt or parameters within the "AI Agent" node to refine the visual analysis performed by the OpenAI model.
  5. Execute the workflow: Click the "Execute workflow" button on the "Manual Trigger" node to run the workflow.

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