Extracting Financial Data from PDFs to Google Sheets Using Pabbly Connect

Learn how to extract financial data from PDFs to Google Sheets using Pabbly Connect in this step-by-step tutorial. Master proven automation processes with practical implementation examples and strategic recommendations you can apply immediately in your workflow.

Watch Step By Step Video Tutorial Below

1. Accessing Pabbly Connect for Financial Data Extraction

To start extracting financial data from PDFs to Google Sheets, you need to access Pabbly Connect. First, navigate to the Pabbly Connect website. If you are a new user, click on the ‘Sign Up Free’ button to create your account. Existing users can click ‘Sign In’ to access their dashboard.

Once logged in, you will land on the all apps page. Click on ‘Access Now’ under Pabbly Connect. This will take you to the Pabbly Connect dashboard where you can create a new workflow for your AI agent.

2. Creating a Workflow in Pabbly Connect

In the Pabbly Connect dashboard, click on the ‘Create Workflow’ button. Name your workflow appropriately, such as ‘AI Agent for Financial Data Extraction’. After naming, select the folder where you want to save this workflow and click ‘Create’. This action sets up the foundation for integrating your applications via Pabbly Connect.

Within this workflow, you will see two main sections: the trigger window and the action window. The trigger window is where you will specify what event will initiate the workflow. In this case, you want to set it to trigger when a new PDF file is uploaded to your Google Drive.

• Select Google Drive as the app in the trigger step.
• Choose the trigger event as ‘New File in Specific Folder’.
• Connect your Google Drive account to Pabbly Connect.

After completing these steps, your workflow is set up to capture new financial documents automatically.

3. Setting Up Google Drive for Document Capture

Next, you need to ensure that your Google Drive folder is configured correctly. This involves changing the share settings of the folder containing your financial documents. Open the folder, click on the ‘Share’ option, and set the permission to ‘Anyone with the link’. This allows the AI agent to access the files for data extraction through Pabbly Connect.

Once the permissions are set, return to the Pabbly Connect workflow and click on ‘Save and Send Test Request’. This action will fetch the details of the most recent file uploaded to your Google Drive. Ensure that the PDF you want to extract data from is already uploaded in the folder.

• Confirm that the correct file is selected in the response.
• Check that the web content link is available for the PDF file.

With the file successfully captured, you can now proceed to extract the necessary financial details using an AI agent.

4. Extracting Financial Data Using OpenAI

In this step, you will set up the action to extract data from the PDF file using OpenAI. In the action window of your workflow, select OpenAI as the app. Choose the action event as ‘Extract Content from PDF/Image’. This is where Pabbly Connect plays a crucial role by facilitating the connection between your Google Drive and OpenAI.

After selecting the action event, you will need to connect your OpenAI account by entering the API key. To obtain the API key, log in to your OpenAI account, navigate to the API keys section, and create a new secret key. Once you have the key, paste it into Pabbly Connect and click ‘Save’.

Select the AI model you want to use for extraction; GPT-4 Mini is recommended. Map the PDF URL from the trigger response to the OpenAI action. Provide a structured output format in JSON to organize the extracted data.

After setting up these configurations, click ‘Save and Send Test Request’ to initiate the data extraction. You should receive a structured response containing the financial details from the PDF.

5. Adding Extracted Data to Google Sheets

The final step is to add the extracted financial data into Google Sheets. In the action window, add another action and select Google Sheets as the app. Choose the action event as ‘Add New Row’. This allows Pabbly Connect to insert the extracted data into your designated Google Sheet.

Connect your Google Sheets account by clicking ‘Sign In with Google’ and selecting your account. After connecting, choose the spreadsheet where you want to add the extracted data. Ensure that you map each extracted detail to the corresponding columns in your Google Sheet.

Map the company name, business type, headquarters, and financial figures. Confirm that all fields are correctly mapped before proceeding.

Finally, click ‘Save and Send Test Request’ to add the data to your Google Sheet. You should see the extracted financial details populated in the sheet, confirming that your AI agent is working effectively.

Conclusion

In conclusion, using Pabbly Connect, you can efficiently automate the process of extracting financial data from PDFs and adding it to Google Sheets. This integration not only saves time but also enhances accuracy in data handling. By following the steps outlined, you can set up your own AI agent to streamline your financial data management.