1. Overview
  2. Data Export & Integrations
  3. 📄 Exporting Data to Google Sheets

📄 Exporting Data to Google Sheets

Airparser offers two main ways to export parsed data to Google Sheets:

  • Using the built-in integration
  • Using an automation platform (e.g., Zapier, Make, n8n, etc.)

Option 1: Built-in Integration

The easiest way to export parsed data to Google Sheets is by using our native integration.

Step 1: Connect your Google account

From your Airparser inbox, go to the Integrations page and choose Google Sheets. Click Sign in with Google.

Please check the box shown below when adding your Google account. This permission is required for Airparser to export data to your Google Sheets.

Tip: If you didn’t check the required permission box, remove Airparser from your list of connected apps in your Google account, then return to Airparser and reconnect.

Step 2: Select your Spreadsheet and Worksheet

Choose the destination Spreadsheet and Worksheet where you want to send the parsed data.

Open the selected Sheet and add column headers. These will help map your parsed data correctly.

Step 3: Configure data mapping

For each column in your Sheet, specify what data to export:

You can insert:

  • Single fields (e.g., name, email, price)
  • Multiple fields (e.g., full address composed of street + city + ZIP)
  • Static text (e.g., “New Lead”)

Any columns left empty will be ignored.

Once configured, parsed data will automatically be sent to Google Sheets in real time.

Exporting Tables and Lists

Airparser also supports exporting tables, lists, and repeating data structures. These will be written as multiple rows in your Sheet — one row per item.

Examples:

  • Export ordered products from an invoice
  • Export line items from a purchase order
  • Export transaction records from a bank statement

Option 2: Using an Automation Platform

You can also connect Airparser to Google Sheets using platforms like:

This method is ideal for building more advanced workflows or connecting multiple tools together.

Pros

  • Enables complex workflows (e.g., send parsed data to multiple apps)
  • More customization options

Cons

  • Initial setup may take more time
  • Some platforms require a paid plan for large volumes or advanced features

 

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