Can I use Google Gemini Chat Model’s API with n8n?

Yes, with n8n, you can programmatically interact with Google Gemini Chat Model’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use Microsoft Excel 365’s API with n8n?

Yes, with n8n, you can programmatically interact with Microsoft Excel 365’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Google Gemini Chat Model and Microsoft Excel 365?

Yes, it is safe to use n8n to integrate Google Gemini Chat Model and Microsoft Excel 365. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

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Google Gemini Chat Model

Microsoft Excel 365

Google Gemini Chat Model and Microsoft Excel 365 integration

Save yourself the work of writing custom integrations for Google Gemini Chat Model and Microsoft Excel 365 and use n8n instead. Build adaptable and scalable AI, Langchain, Data & Storage, and Productivity workflows that work with your technology stack. All within a building experience you will love.

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How to connect Google Gemini Chat Model and Microsoft Excel 365

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Google Gemini Chat Model and Microsoft Excel 365 integration: Create a new workflow and add the first step

Step 2: Add and configure Google Gemini Chat Model and Microsoft Excel 365 nodes

You can find Google Gemini Chat Model and Microsoft Excel 365 in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google Gemini Chat Model and Microsoft Excel 365 nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google Gemini Chat Model and Microsoft Excel 365 integration: Add and configure Google Gemini Chat Model and Microsoft Excel 365 nodes

Step 3: Connect Google Gemini Chat Model and Microsoft Excel 365

A connection establishes a link between Google Gemini Chat Model and Microsoft Excel 365 (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Google Gemini Chat Model and Microsoft Excel 365 integration: Connect Google Gemini Chat Model and Microsoft Excel 365

Step 4: Customize and extend your Google Gemini Chat Model and Microsoft Excel 365 integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google Gemini Chat Model and Microsoft Excel 365 with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google Gemini Chat Model and Microsoft Excel 365 integration: Customize and extend your Google Gemini Chat Model and Microsoft Excel 365 integration

Step 5: Test and activate your Google Gemini Chat Model and Microsoft Excel 365 workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Gemini Chat Model to Microsoft Excel 365 or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Google Gemini Chat Model and Microsoft Excel 365 integration: Test and activate your Google Gemini Chat Model and Microsoft Excel 365 workflow

Parse incoming invoices from Outlook using AI Document Understanding

This n8n template monitors an Outlook mailbox for invoices, automatically parses/extracts data from them and then uploads the output to an Excel Workbook.

One of my top workflow requests, this template can save many hours of manual labour for you or your finance/accounts team.

How it works
A scheduled trigger is set to fetch recent Outlook messages to the Accounts receivable mailbox.
Each message is analysed to determine whether or not it from a supplier and is issuing/contains an invoice.
For each valid message, the attachments are downloaded and non-invoice documents are filtered out via AI Vision classification.
Invoices are then processed through a AI vision model again to extract the details.
The extracted data can then be used for reconciliation or otherwise. For this demonstration, we'll just append the row to an Excel sheet for now.

How to use
Ensure your Microsoft365 credential points to the correct mailbox. If a shared folder is used, toggle "shared folder" option to "on" and for the principal ID, use the email address.
If you receive lots of other types of messages such as replies and forwards, you may want to implement additional checks to prevent processing invoices twice. The "remove duplicates" node can help with this.

Requirements
Outlook for Mailbox
Google Gemini for Document Understanding and Invoice Extraction
Excel for Data Storage

Customising this workflow
Note the assumption for this template is that all invoices will come as a PDF attachment. In real life, this is rarely the case! Adding in document conversion to cover all invoice formats.
Human feedback is also an important factor in AI workflows. Try tagging emails as a way to notify team members that the invoice was processed.

Nodes used in this workflow

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Popular Google Gemini Chat Model and Microsoft Excel 365 workflows

Parse Incoming Invoices From Outlook using AI Document Understanding

This n8n template monitors an Outlook mailbox for invoices, automatically parses/extracts data from them and then uploads the output to an Excel Workbook. One of my top workflow requests, this template can save many hours of manual labour for you or your finance/accounts team. How it works A scheduled trigger is set to fetch recent Outlook messages to the Accounts receivable mailbox. Each message is analysed to determine whether or not it from a supplier and is issuing/contains an invoice. For each valid message, the attachments are downloaded and non-invoice documents are filtered out via AI Vision classification. Invoices are then processed through a AI vision model again to extract the details. The extracted data can then be used for reconciliation or otherwise. For this demonstration, we'll just append the row to an Excel sheet for now. How to use Ensure your Microsoft365 credential points to the correct mailbox. If a shared folder is used, toggle "shared folder" option to "on" and for the principal ID, use the email address. If you receive lots of other types of messages such as replies and forwards, you may want to implement additional checks to prevent processing invoices twice. The "remove duplicates" node can help with this. Requirements Outlook for Mailbox Google Gemini for Document Understanding and Invoice Extraction Excel for Data Storage Customising this workflow Note the assumption for this template is that all invoices will come as a PDF attachment. In real life, this is rarely the case! Adding in document conversion to cover all invoice formats. Human feedback is also an important factor in AI workflows. Try tagging emails as a way to notify team members that the invoice was processed.

Build your own Google Gemini Chat Model and Microsoft Excel 365 integration

Create custom Google Gemini Chat Model and Microsoft Excel 365 workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Microsoft Excel 365 supported actions

Table
Workbook
Sheet

Append

Add rows to the end of the table

Convert to Range

Convert a table to a range

Create

Add a table based on range

Delete

Delete a table

Get Columns

Retrieve a list of table columns

Get Rows

Retrieve a list of table rows

Lookup

Look for rows that match a given value in a column

Add Sheet

Add a new sheet to the workbook

Delete

Delete workbook

Get Many

Get workbooks

Append

Append data to sheet

Append or Update

Append a new row or update the current one if it already exists (upsert)

Clear

Clear sheet

Delete

Delete sheet

Get Many

Get a list of sheets

Get Rows

Retrieve a list of sheet rows

Update

Update rows of a sheet or sheet range

Google Gemini Chat Model and Microsoft Excel 365 integration details

Google Gemini Chat Model node docs + examples

See Google Gemini Chat Model integrations

Related categories

Langchain

Microsoft Excel is the most famous spreadsheet tool in the world. It is developed by Microsoft as part of their Office Suite. It is widely used by individuals, professionals, developers, and companies for many uses in statistics, accounting, data analysis, etc.

Microsoft Excel 365 node docs + examples

Microsoft Excel 365 credential docs

See Microsoft Excel 365 integrations

Related categories

Data & Storage

Productivity

Other integrations with Google Gemini Chat Model

Other integrations with Microsoft Excel 365

FAQs

Can Google Gemini Chat Model connect with Microsoft Excel 365?
Can I use Google Gemini Chat Model’s API with n8n?
Can I use Microsoft Excel 365’s API with n8n?
Is n8n secure for integrating Google Gemini Chat Model and Microsoft Excel 365?
How to get started with Google Gemini Chat Model and Microsoft Excel 365 integration in n8n.io?