Google Programmable Search Engine and Microsoft SQL Server Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Archive Google Programmable Search Engine results in Microsoft SQL Server for trend analysis or compliance. Latenode’s visual editor simplifies setup, while affordable execution-based pricing keeps costs low as your data grows.

Google Programmable Search Engine + Microsoft SQL Server integration

Connect Google Programmable Search Engine and Microsoft SQL Server in minutes with Latenode.

Start for free

Automate your workflow

Swap Apps

Google Programmable Search Engine

Microsoft SQL Server

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Google Programmable Search Engine and Microsoft SQL Server

Create a New Scenario to Connect Google Programmable Search Engine and Microsoft SQL Server

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Programmable Search Engine, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Programmable Search Engine or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Google Programmable Search Engine or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Google Programmable Search Engine Node

Select the Google Programmable Search Engine node from the app selection panel on the right.

+
1

Google Programmable Search Engine

Configure the Google Programmable Search Engine

Click on the Google Programmable Search Engine node to configure it. You can modify the Google Programmable Search Engine URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

+
1

Google Programmable Search Engine

Node type

#1 Google Programmable Search Engine

/

Name

Untitled

Connection *

Select

Map

Connect Google Programmable Search Engine

Sign In

Run node once

Add the Microsoft SQL Server Node

Next, click the plus (+) icon on the Google Programmable Search Engine node, select Microsoft SQL Server from the list of available apps, and choose the action you need from the list of nodes within Microsoft SQL Server.

1

Google Programmable Search Engine

+
2

Microsoft SQL Server

Authenticate Microsoft SQL Server

Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.

1

Google Programmable Search Engine

+
2

Microsoft SQL Server

Node type

#2 Microsoft SQL Server

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft SQL Server

Sign In

Run node once

Configure the Google Programmable Search Engine and Microsoft SQL Server Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

1

Google Programmable Search Engine

+
2

Microsoft SQL Server

Node type

#2 Microsoft SQL Server

/

Name

Untitled

Connection *

Select

Map

Connect Microsoft SQL Server

Microsoft SQL Server Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

Run node once

Set Up the Google Programmable Search Engine and Microsoft SQL Server Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
5

JavaScript

6

AI Anthropic Claude 3

+
7

Microsoft SQL Server

1

Trigger on Webhook

2

Google Programmable Search Engine

3

Iterator

+
4

Webhook response

Save and Activate the Scenario

After configuring Google Programmable Search Engine, Microsoft SQL Server, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Google Programmable Search Engine and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Google Programmable Search Engine and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Programmable Search Engine and Microsoft SQL Server

Google Programmable Search Engine + Microsoft SQL Server + Slack: When a new mention is found via Google Programmable Search Engine using a specified query, the information is inserted as a new row into a Microsoft SQL Server database. Then, a notification is sent to a Slack channel to alert the team.

Microsoft SQL Server + Google Programmable Search Engine + Jira: When a new or updated row is added to a Microsoft SQL Server database, a Google Programmable Search Engine query is executed to find related information. The results are then added as a comment to a specific Jira issue.

Google Programmable Search Engine and Microsoft SQL Server integration alternatives

About Google Programmable Search Engine

Use Google Programmable Search Engine in Latenode to build focused search workflows. Automatically extract data from specific sites, monitor brand mentions, or gather research. Combine it with AI nodes to analyze results, filter noise, and deliver actionable insights without manual crawling. Integrate with any app through Latenode’s flexible API.

About Microsoft SQL Server

Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.

See how Latenode works

FAQ Google Programmable Search Engine and Microsoft SQL Server

How can I connect my Google Programmable Search Engine account to Microsoft SQL Server using Latenode?

To connect your Google Programmable Search Engine account to Microsoft SQL Server on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Programmable Search Engine and click on "Connect".
  • Authenticate your Google Programmable Search Engine and Microsoft SQL Server accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I log search queries in my database?

Yes, you can! Latenode's visual editor simplifies setup. Store every Google Programmable Search Engine query in Microsoft SQL Server, enabling detailed analytics & custom reporting.

What types of tasks can I perform by integrating Google Programmable Search Engine with Microsoft SQL Server?

Integrating Google Programmable Search Engine with Microsoft SQL Server allows you to perform various tasks, including:

  • Storing and analyzing user search queries for trend identification.
  • Populating a knowledge base with search results for improved content discovery.
  • Automating data backups of search configurations and result sets.
  • Generating custom reports on search performance and user behavior.
  • Triggering database updates based on specific search terms or result patterns.

How do I handle large result sets from Google Programmable Search Engine?

Latenode's data streaming and batch processing handle even the largest Google Programmable Search Engine result sets, ensuring smooth data transfer to Microsoft SQL Server.

Are there any limitations to the Google Programmable Search Engine and Microsoft SQL Server integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require custom JavaScript code.
  • Rate limits on the Google Programmable Search Engine API may impact high-volume workflows.
  • Initial database schema design requires careful planning for optimal performance.

Try now