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Extract Instagram Profile Data with Apify and Store in Google Sheets logo

Extract Instagram Profile Data with Apify and Store in Google Sheets

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Extracts Instagram profile data via HTTP requests and stores it in Google Sheets.

n8nAI & LLMBeginner👁 12K views
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Updated 2026-06-16

What this workflow does

This automation pulls profile metrics and details through HTTP calls and logs them directly into Google Sheets to maintain an organized record.

It is designed for users who need to collect and track social media data without manual entry or external scraping tools beyond the listed integrations.

Who is this for?

Social media analysts, marketers, and researchers who regularly track Instagram profiles and need structured data storage.

What problem it solves

Manually pulling Instagram profile metrics and logging them is slow and inconsistent. This workflow automates extraction via HTTP and saves results directly to Google Sheets.

Live workflow preview

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Open the template on n8n to import and run it. View source template →

What it automates

Competitor monitoring

Run the workflow weekly to log follower counts and bios of key competitors into a shared sheet.

Influencer research

Quickly capture profile details and external links for a list of potential influencers before outreach.

Campaign tracking

Store profile picture URLs and bio changes over time to measure brand collaboration impact.

How the workflow works

The 2 nodes in this automation, in order.

  1. 1Google SheetsgoogleSheets
  2. 2HTTP RequesthttpRequest

Apps & integrations used

Google SheetsHTTP Request

How to set up Extract Instagram Profile Data with Apify and Store in Google Sheets

  1. 1Create a new workflow in n8n and add an HTTP Request node.
  2. 2Configure the HTTP node with the Instagram profile endpoint and required headers.
  3. 3Add a Google Sheets node and connect it after the HTTP node.
  4. 4Authenticate your Google account and select the target spreadsheet.
  5. 5Map the returned profile fields (followers, bio, links) to sheet columns.
  6. 6Add a manual trigger or schedule node and test the full run.

How to customize this workflow

  • Switch the trigger to a Webhook node for on-demand runs from other tools.
  • Add a Set node to filter or format specific fields before writing to Sheets.
  • Change the Google Sheets node to append rows to a new tab per profile.
  • Extend the HTTP node parameters to request additional profile metrics if available.

Extract Instagram Profile Data with Apify and Store in Google Sheets: pros & cons

Pros

  • +Simple two-node core using only HTTP Request and Google Sheets
  • +Beginner-friendly structure with clear data mapping
  • +Creates a living, queryable record in Google Sheets
  • +Easy to schedule or trigger manually

Cons

  • Instagram data access can break if endpoints change
  • No built-in error handling for rate limits or private profiles
  • Requires separate setup for any paid scraping service via HTTP
Did you find this helpful?

Frequently asked questions

It uses an HTTP Request node to fetch Instagram profile data and writes the results into Google Sheets.

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