Gmail and Postgres integration

Save yourself the work of writing custom integrations for Gmail and Postgres and use n8n instead. Build adaptable and scalable Communication, Development, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.

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How to connect Gmail and Postgres

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.

Gmail and Postgres integration: Create a new workflow and add the first step

Step 2: Add and configure Gmail and Postgres nodes

You can find Gmail and Postgres 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 Gmail and Postgres nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Gmail and Postgres integration: Add and configure Gmail and Postgres nodes

Step 3: Connect Gmail and Postgres

A connection establishes a link between Gmail and Postgres (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.

Gmail and Postgres integration: Connect Gmail and Postgres

Step 4: Customize and extend your Gmail and Postgres 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 Gmail and Postgres with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Gmail and Postgres integration: Customize and extend your Gmail and Postgres integration

Step 5: Test and activate your Gmail and Postgres workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Gmail to Postgres 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.

Gmail and Postgres integration: Test and activate your Gmail and Postgres workflow

Suspicious Login Detection

The workflow first extracts relevant data from the incoming webhook payload, including the IP address, user agent, timestamp, URL, and user ID. It then splits into three parallel processing paths.

In the first path, it queries GreyNoise's Community API to retrieve information about the investigated IP address. Depending on the classification and trust level received from GreyNoise, the alert is given a High, Medium, or Low priority. This priority is assigned based on the best practices documentation from GreyNoise on how to apply their data to analysis. Once a priority is assigned, a message is sent to a Slack channel to notify users about the alert.

The second path involves fetching geolocation data about the IP address using IP-API's Geolocation API and merging it with data from the UserParser node. This data is then combined with the data obtained from GreyNoise.

In the third path, the UserParser node queries the Userparser IP address and user agent lookup API to obtain information about the user's IP and user agent. This data is merged with the IP-API data and GreyNoise data.

The workflow then checks if the IP address is considered an unknown threat by examining both the noise and riot fields from GreyNoise. If it is considered an unknown threat, the workflow proceeds to retrieve the last 10 login records for the same user from a Postgres database.

If there are any discrepancies in the login information, indicating a new location or device/browser, the user is informed via email.

Potential issues when setting up this workflow include ensuring that credentials are correctly entered for GreyNoise and UserParser nodes, and addressing any discrepancies in the data sources that could lead to false positives or negatives in threat detection. Additionally, the usage of hardcoded API keys should be replaced with credentials for security and flexibility. Thorough testing and validation with sample data are crucial to ensure the workflow performs as expected and aligns with security incident response procedures.

Nodes used in this workflow

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Popular Gmail and Postgres workflows

Suspicious Login Detection

This n8n workflow is designed for security monitoring and incident response when suspicious login events are detected. It can be initiated either manually from within the n8n UI for testing or automatically triggered by a webhook when a new login event occurs. The workflow first extracts relevant data from the incoming webhook payload, including the IP address, user agent, timestamp, URL, and user ID. It then splits into three parallel processing paths. In the first path, it queries GreyNoise's Community API to retrieve information about the investigated IP address. Depending on the classification and trust level received from GreyNoise, the alert is given a High, Medium, or Low priority. This priority is assigned based on the best practices documentation from GreyNoise on how to apply their data to analysis. Once a priority is assigned, a message is sent to a Slack channel to notify users about the alert. The second path involves fetching geolocation data about the IP address using IP-API's Geolocation API and merging it with data from the UserParser node. This data is then combined with the data obtained from GreyNoise. In the third path, the UserParser node queries the Userparser IP address and user agent lookup API to obtain information about the user's IP and user agent. This data is merged with the IP-API data and GreyNoise data. The workflow then checks if the IP address is considered an unknown threat by examining both the noise and riot fields from GreyNoise. If it is considered an unknown threat, the workflow proceeds to retrieve the last 10 login records for the same user from a Postgres database. If there are any discrepancies in the login information, indicating a new location or device/browser, the user is informed via email. Potential issues when setting up this workflow include ensuring that credentials are correctly entered for GreyNoise and UserParser nodes, and addressing any discrepancies in the data sources that could lead to false positives or negatives in threat detection. Additionally, the usage of hardcoded API keys should be replaced with credentials for security and flexibility. Thorough testing and validation with sample data are crucial to ensure the workflow performs as expected and aligns with security incident response procedures.

Build your own Gmail and Postgres integration

Create custom Gmail and Postgres 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.

Gmail supported actions

Message
Label
Draft
Thread

Add Label

Delete

Get

Get Many

Mark as Read

Mark as Unread

Remove Label

Send

Send and Wait for Approval

Create

Delete

Get

Get Many

Create

Delete

Get

Get Many

Add Label

Delete

Get

Get Many

Remove Label

Trash

Untrash

Postgres supported actions

Database

Delete

Delete an entire table or rows in a table

Execute Query

Execute an SQL query

Insert

Insert rows in a table

Insert or Update

Insert or update rows in a table

Select

Select rows from a table

Update

Update rows in a table

Gmail and Postgres integration details

Gmail is a free of charge email service offered as part of Google Workspace. It is used by individuals and organizations to send and receive emails and communicate internally and externally. It remains the world’s most widely used email service.

Gmail node docs + examples

Gmail credential docs

See Gmail integrations

Related categories

Communication

Postgres, or PostgresSQL, is a free, open-source tool that helps you emphasize extensibility and SQL compliance. It is an advanced object-relational database that provides high performance, reliability and feature robustness.

Postgres node docs + examples

Postgres credential docs

See Postgres integrations

Related categories

Development

Data & Storage

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