How to Add Extracted Data from Your Email into Google Sheets with Pabbly Connect

Learn how to integrate Email Parser with Google Sheets using Pabbly Connect to automate data extraction from emails. Follow this definitive guide to creating powerful automated workflows with straightforward, efficiency-focused solutions that save valuable time.

Watch Step By Step Video Tutorial Below

1. Accessing Pabbly Connect for Email to Google Sheets Integration

To begin, accessing Pabbly Connect is essential for integrating your email data into Google Sheets. Start by opening a new tab in your browser and navigating to the Pabbly website. If you don’t have an account, you can sign up for free, which provides you with 100 tasks monthly.

Once logged in, you’ll see various applications offered by Pabbly. Click on the ‘Access Now’ button under Pabbly Connect to enter the dashboard, where you can create workflows for your email data extraction.

2. Creating a New Workflow in Pabbly Connect

In this step, you will create a new workflow in Pabbly Connect. Click on the ‘Create Workflow’ button. A window will pop up prompting you to name your workflow. Name it something descriptive, like ‘Extracted Data from Emails into Google Sheets.’ Select a folder to save your workflow.

• Click on ‘Create’ to finalize your workflow.
• You will now see two boxes: Trigger and Action.
• Set your Trigger application to Email Parser.

This setup allows you to extract data from incoming emails automatically. The action application will be Google Sheets, where the extracted data will be stored.

3. Setting Up the Trigger with Email Parser

The next step involves configuring the trigger in Pabbly Connect. Select Email Parser as your trigger application. This setup will enable you to forward emails from your Gmail account to Pabbly Connect. Copy the provided email address from Pabbly Connect.

Go to your Gmail settings and navigate to the ‘Forwarding and POP/IMAP’ tab. Here, click on ‘Add a forwarding address’ and paste the email address you copied from Pabbly Connect. Click next and proceed to confirm the forwarding address through the verification link sent to that email.

4. Connecting Google Sheets as the Action Application

After setting the trigger, the next step is to configure Google Sheets as the action application within Pabbly Connect. Select Google Sheets and choose the action event as ‘Add New Row’. Click on ‘Connect’ to link your Google Sheets account with Pabbly Connect.

Once connected, select the spreadsheet you want to use. In this case, it will be the spreadsheet designated for email extracted data. Ensure that the columns for sender name, sender email, subject, and body text are correctly set up in your Google Sheet for mapping.

• Map the data fields from Email Parser to the corresponding columns in Google Sheets.
• Fill in the sender name, sender email, subject, and body text by clicking on the mapping fields.

After mapping the fields, click on ‘Save and Send Test Request’ to ensure everything is working correctly. You should see a positive response indicating successful data addition.

5. Verifying the Integration and Workflow Completion

To verify your integration, send a test email to your Gmail account. Ensure it contains relevant data that you want to extract. Once the email is received, Pabbly Connect should automatically capture this email data through the Email Parser.

Check your Google Sheets to confirm that the new data row has been added correctly. You should see the sender name, email, subject, and body text populated as expected. This confirms that your Pabbly Connect workflow is functioning correctly and will continue to operate for future emails.

Whenever you receive a new email, the data will be extracted and added to Google Sheets automatically, saving you time and effort.

Conclusion

In summary, using Pabbly Connect, you can effortlessly integrate Email Parser with Google Sheets to automate the extraction of data from emails. This process streamlines your workflow, allowing for efficient data management without manual effort.