ZappySys Blog

SSIS tutorial: How export data from Pipedrive

ZappySys Team — Thu, 18 Jun 2026 22:07:57 +0000

Introduction

Pipedrive is a popular CRM platform used by sales teams to manage deals, leads, contacts, activities, and pipelines. It offers REST APIs that let you access CRM data programmatically. Many organisations extract Pipedrive data into SQL Server for operational reporting, sales dashboards, and analytics.

In this tutorial, you will learn how to connect Pipedrive APIs to SQL Server Integration Services (SSIS) using ZappySys SSIS PowerPack. This approach helps you build repeatable ETL pipelines without writing custom API integration code.

Prerequisites

SQL Server Integration Services (SSIS) is installed.
Visual Studio with SSIS extension or SQL Server Data Tools (SSDT) is available.
A Pipedrive account with API access.
A valid Pipedrive API token.
ZappySys SSIS PowerPack is installed on your machine.

Steps

Generate Pipedrive API Token

Sign in to your Pipedrive account.
Go to Personal Preferences > API.
Copy your API token and store it securely.
Pipedrive – Personal token

Create and Configure JSON Source

In your SSIS package, navigate to the Variables section and create the following variables: PersonalToken (String) — Enter the Personal Token from the previous step.
Drag a Data Flow Task into Control Flow and open it.
Drag and drop Data flow
In Data Flow, drag and drop the ZS JSON Source.
SSIS JSON Source – Drag and Drop
Open the JSON Source

Set the API URL with the variable. Example to extract deals:

https://api.pipedrive.com/v1/deals?api_token={{User::PersonalToken}}

Set HTTP Request Method to GET.
Set JSON Path Filter to:
```
$.data[*]
```
Click Preview to confirm rows are returned, then click OK.
Pipedrive – JSON source configuration

Use Other Pipedrive Endpoints (Optional)

You can reuse the same SSIS package pattern with other Pipedrive endpoints:

Persons: https://api.pipedrive.com/v1/persons?api_token={your_api_token}
Organizations: https://api.pipedrive.com/v1/organizations?api_token={your_api_token}
Activities: https://api.pipedrive.com/v1/activities?api_token={your_api_token}
Leads: https://api.pipedrive.com/v1/leads?api_token={your_api_token}
Pipelines: https://api.pipedrive.com/v1/pipelines?api_token={your_api_token}

Configure Destination Component

Add an Upsert destination (or another destination of your choice, such as a Trash destination or a JSON/CSV/XML destination).
Connect the output arrow from JSON Source to the destination component.
Configure your SQL Server connection and target table.
Check the options you want to use: Insert or/and Update
Map the source columns to destination columns in the Mappings section.
Pipedrive – Upsert destination
Click OK and execute the package.
Validate that Pipedrive rows have been loaded into your SQL Server table.
Pipedrive – Upsert Destination example

Conclusion

You now have a working SSIS integration to extract Pipedrive data using ZappySys SSIS PowerPack and Pipedrive REST APIs. With this pattern, you can automate extraction of deals, contacts, and activity data into SQL Server for reporting and analytics.

Explore the full capabilities of the ZappySys SSIS PowerPack to optimize your data integration tasks. By applying this pattern, you can extend your solution to include transformations, data validation, error handling, and scheduling through SQL Server Agent.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat – Use the chat widget (bottom-right corner of this page)
Email – support@zappysys.com
Support Center – Visit the ZappySys Support Portal

The post SSIS tutorial: How export data from Pipedrive appeared first on ZappySys Blog.

How to read WooCommerce data in Power BI using ODBC

ZappySys Team — Thu, 11 Jun 2026 23:07:16 +0000

Introduction

WooCommerce is one of the most widely used eCommerce platforms for WordPress websites. Store owners and analysts often need to combine WooCommerce order, product, and customer data with other business metrics in Power BI for reporting and decision-making. Using Zappysys ODBC Driver for REST APIs, you can connect WooCommerce to Power BI and query API data using SQL without custom coding.

This tutorial demonstrates how to configure WooCommerce ODBC connectivity and load WooCommerce data into Power BI for interactive dashboards.

Prerequisites

A WordPress site with WooCommerce installed.
Microsoft Power BI Desktop is installed on your machine.
Basic knowledge of ODBC and SQL queries.
Finally, install the ZappySys ODBC Driver.

Steps

Generate WooCommerce API Credentials

Sign in to your WordPress admin dashboard.
Go to WooCommerce > Settings > Advanced > REST API.
Click Add key.
Enter a description (for example, Power BI Integration), select a user, and set permissions to Read or Read/Write as needed.
Click Generate API key.
Copy the Consumer Key and Consumer Secret, then store them securely.
Woocommerce – Get API key

Create a new ODBC DSN using ZappySys JSON Driver

Search for ODBC in the Windows Start menu and open ODBC Data Source Administrator.
In the User DSN or System DSN tab, click Add.
Select ZappySys JSON Driver and click Continue.

Configure WooCommerce API Connection

In the DSN configuration window, enter the base endpoint in Base URL:
```
https://your-website.com/wp-json/wc/v3/orders
```
Set Connection Type to HTTP and click to configure.
Select Basic Auth (Username/Password).
Set Username to your WooCommerce Consumer Key.
Set the password to your WooCommerce Consumer Secret.
Click OK to save the connection.
Woocommerce – ODBC HTTP connection
Set HTTP Request Method to GET.
Set JSON Path Filter to:
```
$.data[*]
```
Click Test Connection to verify connectivity, then click OK to save the DSN.
Woocommerce – ODBC JSON Driver configuration

Preview WooCommerce Data in ODBC Driver

Open the DSN and go to the Preview tab.
Click Preview Data to validate that WooCommerce order rows are visible.
If rows are not returned, check the store URL, credentials, SSL, and API permissions.
Woocommerce – ODBC Preview data

Connect Power BI to WooCommerce via ODBC

Open Power BI Desktop.
Click Get Data from the Home ribbon.
Click More…, search for ODBC, and click Connect.
Power BI – Get data from ODBC connection
Select your WooCommerce ODBC DSN from the dropdown.
Optionally, enter a custom SQL query in Advanced options.
Click OK, then click Load to import data.
Woocommerce – Power BI select connection
Verify the result and click Load.
Woocommerce – Power BI loads the data
In the Navigator window, select the columns you want to load.

Woocommerce – Power BI final result

Conclusion

By connecting WooCommerce to Power BI through the ZappySys ODBC REST/JSON driver, you can quickly turn raw store API data into interactive dashboards. This approach simplifies integration by allowing you to use SQL for data extraction and Power BI for modelling and visualisation.

Explore the full capabilities of the Zappysys ODBC Drivers to integrate multiple data sources and build comprehensive Power BI dashboards. By combining GitHub data with other sources, you can create unified views of your operational data.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post How to read WooCommerce data in Power BI using ODBC appeared first on ZappySys Blog.

SSIS tutorial: How to get data from WooCommerce

ZappySys Team — Thu, 11 Jun 2026 22:06:49 +0000

Introduction

WooCommerce is one of the most popular eCommerce platforms for WordPress. It provides REST APIs to access products, orders, customers, coupons, and other store data. Many teams need to migrate WooCommerce data to SQL Server for reporting, operational dashboards, and analytics.

In this tutorial, you will learn how to connect WooCommerce APIs to SQL Server Integration Services (SSIS) using ZappySys SSIS PowerPack. This approach helps you build repeatable ETL pipelines without writing custom API integration code.

Prerequisites

SQL Server Integration Services (SSIS) is installed.
Visual Studio with SSIS extension or SQL Server Data Tools (SSDT) is available.
A WordPress site with WooCommerce installed and API access enabled.
ZappySys SSIS PowerPack is installed on your machine.

Steps

Generate WooCommerce API Credentials

Sign in to your WordPress admin dashboard.
Go to WooCommerce > Settings > Advanced > REST API.
Click Add key.
Enter a description (for example, SSIS Integration), select a user, and set permissions to Read (or Read/Write if needed).
Click Generate API key.
Copy the Consumer Key and Consumer Secret, then store them securely.
Woocommerce – Get API key

Create an HTTP Connection in SSIS

Create or open your SSIS project and package.
In Connection Managers, right-click and select New Connection….
Select ZS-HTTP from the SSIS connectors list.
Create a new HTTP connection

Set the API URL:

https://{your-website}.com/wp-json/wc/v3

Set Credentials Type to Basic Auth (Username/Password).
Set Username to your WooCommerce Consumer Key.
Set the Password to your WooCommerce Consumer Secret.
Click OK to save the connection.
Woocommerce – the HTTP connection

Create and Configure JSON Source

Drag a Data Flow Task into Control Flow and open it.
Drag and drop Data flow
In Data Flow, drag and drop the ZS JSON Source.
SSIS JSON Source – Drag and Drop
Open the JSON Source editor and enable Use credentials.
Select the WooCommerce HTTP connection you created earlier.
Set the API URL. For example, use the following endpoint to fetch a summary of deposits:
```
https://{your-website}.com/wp-json/wc/v3/payments/deposits
```
Set HTTP Request Method to GET.
Set JSON Path Filter to:
```
$.data[*]
```
Click Preview to confirm rows are returned, then click OK.
Woocommerce – JSON source

Configure Destination Component

Add an Upsert destination (or another destination of your choice, such as a Trash destination or a JSON/CSV/XML destination).
Connect the output arrow from JSON Source to the destination component.
Configure your SQL Server connection and target table.
Check the options you want to use: Insert or/and Update
Map the source columns to destination columns in the Mappings section.
Woocommerce – Upsert destination
Click OK and execute the package.
Validate that WooCommerce rows have been loaded into your SQL Server table.
Woocommerce – Upsert Destination example

Conclusion

You now have a working SSIS integration to extract WooCommerce data using ZappySys SSIS PowerPack and WooCommerce REST APIs. With this pattern, you can automate the extraction of product, order, and customer data into SQL Server for reporting and analytics.

Explore the full capabilities of the ZappySys SSIS PowerPack to optimise your data integration tasks. By applying this pattern, you can extend your solution to include additional transformations, data validation, error handling, and scheduling through SQL Server Agent.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post SSIS tutorial: How to get data from WooCommerce appeared first on ZappySys Blog.

How to read GitHub data in Power BI using ODBC

ZappySys Team — Fri, 05 Jun 2026 12:05:37 +0000

Introduction

GitHub is a leading platform for source control, CI/CD workflows, and team collaboration. Many organizations need GitHub data in Power BI to monitor engineering performance, repository health, pull request velocity, and issue resolution trends.

Using ZappySys ODBC Driver for REST APIs, you can connect to GitHub and query GitHub data with SQL, then load it directly into Power BI dashboards without writing custom integration code.

This tutorial shows how to create an ODBC DSN for the GitHub API, preview data, connect Power BI, and build analytics using custom SQL queries.

Prerequisites

A GitHub account with access to target repositories or organisation data.
Power BI Desktop is installed on your machine.
Basic understanding of SQL and Power BI data modelling.
Finally, install the ZappySys ODBC Driver.

Steps

Create a GitHub Personal Access Token

Sign in to your GitHub account.
Go to Settings, then find the Developer settings at the bottom of the page.
Github – Go to Developer settings
Now go to Personal access tokens and create a new token (fine-grained or classic, depending on your security policy).
Select permissions required for your extraction scenario (for example, repository metadata, issues, or pull requests), owner, expiration date and more.
Generate the token and copy it to a secure location.
Github – Generate a new token

Create a new ODBC DSN using ZappySys JSON Driver

Search for ODBC in the Windows Start menu and open ODBC Data Source Administrator.
In the User DSN or System DSN tab, click Add.
Select ZappySys JSON Driver and click Continue.

Configure the Connection and API Settings

Enter the base URL:
https://api.github.com/user
In Connection Type, select HTTP and click Configure.
Select Static Token/API Key as the Credential type.
Paste your GitHub token in the authentication field.
Click OK to save the configuration.
Github – ODBC HTTP Static token connection
Set HTTP Request Method to GET.
Set the following values in the HTTP headers:
1. Accept: application/vnd.github+json
2. X-GitHub-Api-Version: 2022-11-28
Set JSON Path Filter to extract the object array.
Click Test Connection to verify connectivity, then click OK to save the DSN.
Github – ODBC configuration

Preview GitHub data in ODBC Driver

Go to the Preview tab.
Generate a query, then click Preview Data to confirm that rows are returned.
If no data is returned, verify your organisation name, token scope, and JSON Path Filter.
GitHub – ODBC result

Connect Power BI to GitHub via ODBC

Open Power BI Desktop.
Click Get Data from the Home ribbon.
Click More…, search for ODBC, and click Connect.
Power BI – Get data from ODBC connection
Select your GitHub ODBC DSN from the dropdown list.
Optionally, enter a custom SQL query in Advanced options.
Click OK, then click Load to import data.
GitHub – Power BI select connection
Verify the result and click Load.
GitHub – Power BI load the data
In the Navigator window, select the columns you want to load.
GitHub – Power BI final result

Query GitHub Data with SQL

For advanced analytics, use custom SQL queries in Power BI or the ODBC tool.

Example 1: List Repositories

SELECT 
    id,
    name,
    nameWithOwner,
    isPrivate,
    stargazerCount,
    forkCount,
    updatedAt
FROM data.organization.repositories.nodes

Example 2: Public Repositories Only

SELECT 
    name,
    nameWithOwner,
    stargazerCount,
    forkCount
FROM data.organization.repositories.nodes
WHERE isPrivate = false

Example 3: Most Starred Repositories

SELECT 
    nameWithOwner,
    stargazerCount,
    forkCount
FROM data.organization.repositories.nodes
ORDER BY stargazerCount DESC

Example 4: Recently Updated Repositories

SELECT 
    nameWithOwner,
    updatedAt,
    createdAt
FROM data.organization.repositories.nodes
WHERE updatedAt >= DATEADD(DAY, -30, GETDATE())

Example 5: Repository Count by Visibility

SELECT 
    CASE WHEN isPrivate = true THEN 'Private' ELSE 'Public' END AS RepoVisibility,
    COUNT(*) AS RepoCount
FROM data.organization.repositories.nodes
GROUP BY CASE WHEN isPrivate = true THEN 'Private' ELSE 'Public' END

Example 6: Language-Based Distribution

SELECT 
    primaryLanguage_name AS Language,
    COUNT(*) AS RepoCount,
    AVG(stargazerCount) AS AvgStars
FROM data.organization.repositories.nodes
GROUP BY primaryLanguage_name
ORDER BY RepoCount DESC

Create Useful Power BI Measures

Use DAX measures after loading the GitHub dataset:

Total Repositories

TotalRepos = COUNTROWS('nodes')

Total Stars

TotalStars = SUM('nodes'[stargazerCount])

Average Forks per Repository

AvgForks = AVERAGE('nodes'[forkCount])

Private Repository %

PrivateRepoPct =
DIVIDE(
    CALCULATE(COUNTROWS('nodes'), 'nodes'[isPrivate] = TRUE()),
    COUNTROWS('nodes')
)

Conclusion

Connecting GitHub to Power BI using ZappySys ODBC Driver makes it easy to build engineering analytics without writing custom connector code. With SQL-based access to GitHub API responses, you can monitor repository activity, contribution trends, and governance metrics in one place.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post How to read GitHub data in Power BI using ODBC appeared first on ZappySys Blog.

SSIS tutorial: How to get data from Github

ZappySys Team — Thu, 04 Jun 2026 21:27:03 +0000

Introduction

GitHub is one of the most widely used platforms for source control, DevOps collaboration, and software delivery. Teams often need GitHub data, such as repositories, issues, pull requests, and commits, in SQL Server for analytics, reporting, and governance.

In this tutorial, you will learn how to connect GitHub REST APIs to SQL Server Integration Services (SSIS) by using ZappySys SSIS PowerPack. This approach helps you build automated ETL pipelines without writing custom API client code.

Prerequisites

SQL Server Integration Services (SSIS) is installed.
Visual Studio with SSIS extension or SQL Server Data Tools (SSDT) is available.
A GitHub account with access to the repositories you want to extract.
ZappySys SSIS PowerPack is installed on your machine.

Steps

Create a GitHub Personal Access Token

Sign in to your GitHub account.
Go to Settings, then find the Developer settings at the bottom of the page.
Github – Go to Developer settings
Now go to Personal access tokens and create a new token (fine-grained or classic, depending on your security policy).
Select permissions required for your extraction scenario (for example, repository metadata, issues, or pull requests), owner, expiration date and more.
Generate the token and copy it to a secure location.

Github – Generate a new token

Create an HTTP Connection in SSIS

Create or open your SSIS project and package.
In Connection Managers, right-click and select New Connection….
Select ZS-HTTP from the SSIS connectors list.
Create a new HTTP connection
Set Credentials Type to Static token/API key.
Paste your GitHub token in the token value field.
Click OK to save the connection.

Github- Connection configuration

Create and Configure JSON Source

Drag a Data Flow Task into Control Flow and open it.
In Data Flow, drag and drop the ZS JSON Source.
Open the JSON Source editor and enable Use credentials.
Select the GitHub HTTP connection you created earlier.
Set the API URL. Example to extract repositories for the authenticated user:
```
https://api.github.com/user
```
Set HTTP Request Method to GET.
Set the following values in the HTTP headers:
1. Accept: application/vnd.github+json
2. X-GitHub-Api-Version: 2022-11-28
Set JSON Path Filter if you need it.
Click Preview to confirm rows are returned, then click OK.
Github – JSON source configuration

Use Other GitHub Endpoints (Optional)

You can reuse the same SSIS package pattern with different GitHub endpoints:

Repositories (org): https://api.github.com/orgs/{org}/repos
Issues: https://api.github.com/repos/{owner}/{repo}/issues
Pull Requests: https://api.github.com/repos/{owner}/{repo}/pulls
Commits: https://api.github.com/repos/{owner}/{repo}/commits

Configure Destination and Load to SQL Server

Add an OLE DB Destination (or another destination of your choice) in the Data Flow.
Connect the output arrow from JSON Source to the destination component.
Configure your SQL Server connection and target table.
Map JSON source columns to destination columns in the Mappings section.
Click OK and execute the package.
Validate that the GitHub rows have been loaded into your SQL Server table.
Github – Final Result

Conclusion

You now have a working SSIS integration to extract GitHub data by using ZappySys SSIS PowerPack and the GitHub REST API. With this pattern, you can automate the extraction of repository, issue, pull request, and commit data into SQL Server for reporting and analytics.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post SSIS tutorial: How to get data from Github appeared first on ZappySys Blog.

How to read Notion database table in PowerBI using ODBC

ZappySys Team — Fri, 29 May 2026 12:30:29 +0000

Introduction

Notion is a versatile workspace platform that many teams use to manage projects, tasks, documentation, and databases. However, to leverage this data for advanced analytics and business intelligence, you need to connect it to tools like Power BI. Using Zappysys ODBC Driver for Notion, you can seamlessly extract data from Notion databases and visualize it in Power BI without writing any code.

This tutorial demonstrates how to set up a connection from Notion to Power BI using the Zappysys ODBC driver, query your Notion databases, and create interactive Power BI dashboards.

Prerequisites

A Notion workspace with at least one database and records.
Notion API token (Personal Access Token or Integration token).
Power BI Desktop is installed on your system.
Basic understanding of Power BI and SQL queries.
Finally, install the ZappySys ODBC Driver.

Steps

Create a Notion Integration and Token

Go to Notion Integrations and sign in.
Go to the My Integrations section and click New Integration.
Enter a name for your integration and select the target workspace.
Click Create connection to proceed.
Notion – Create a new connection
Configure the capabilities you need by checking or unchecking the relevant options.
Copy the generated Access Token and store it securely. You’ll need this token to configure the ODBC driver.
Notion – Configure new token

Connect Your Notion Database to the Integration

Open your target Notion database page in the browser.
Click … in the top-right corner.
Click Connections, search for your integration, and select it.
Confirm access to the connection.
Copy the database ID from the URL. For example:
https://app.notion.com/p/?v=......................

Notion – Set a connection to your table

Creating a new ODBC DSN using ZappySys JSON Driver

Search for ODBC in the Windows Start menu and open the ODBC Data Source Administrator.
In the User DSN or System DSN tab, click Add to create a new data source.
In the ODBC Data Source Setup window, select the ZappySys JSON Driver and click Continue.

Configure the Connection and API Settings

Enter the base URL for the table:
https://api.notion.com/v1/databases/{{User::DatabaseId}}/query
In Connection Type, select HTTP and click Configure.
Select Static Token/API Key as the Credential type.
Paste your Notion Access Token in the authentication field.
Click OK to save the configuration.
Notion – ODBC Connection configuration
Set HTTP Request Method to POST.
Set Body content type to JSON (application/json).
Under headers, add: Notion-Version: {NotionVersion}. (Example: 2022-06-28)
Set JSON Path Filter to extract the object array. Example: $.results[*]
Click Test Connection to verify connectivity, then click OK to save the DSN
Notion – ODBC JSON driver configuration

Preview Notion table data in the ODBC Driver

Go to the Preview tab.
Select a table, generate a query, and then click Preview Data to confirm that database records are returned.
Notion – ODBC JSON driver result

Connect Power BI to Notion via ODBC

Open Power BI Desktop.
Click Get Data in the Home ribbon.
Click More… and search for ODBC.
Click Connect.

Power BI – Get data from ODBC connection
From the dropdown, select the Notion ODBC data source you created earlier.
You can enter a custom query that you used in the ODBC JSON driver.
Click OK.
Notion – Power BI connection
Click Load to import the data into Power BI.
In the Navigator window, select the Notion columns you want to load.
Notion – Power BI final result

Query Notion Data with SQL

For more advanced scenarios, you can write custom SQL queries to extract specific data from your Notion database. Here are some common query examples:

Example 1: Extract All Database Records

SELECT 
    Id,
    Title,
    Status,
    CreatedTime,
    LastEditedTime
FROM Databases
WHERE DatabaseId = 'YOUR_DATABASE_ID'

Example 2: Filter Records by Status

SELECT 
    Id,
    Title,
    Status,
    Priority,
    DueDate
FROM Databases
WHERE DatabaseId = 'YOUR_DATABASE_ID'
  AND Status = 'In Progress'

Example 3: Count Records by Status

SELECT 
    Status,
    COUNT(*) AS RecordCount
FROM Databases
WHERE DatabaseId = 'YOUR_DATABASE_ID'
GROUP BY Status

Example 4: Get Recent Records (Last 30 Days)

SELECT 
    Id,
    Title,
    Status,
    CreatedTime
FROM Databases
WHERE DatabaseId = 'YOUR_DATABASE_ID'
  AND CreatedTime >= DATEADD(DAY, -30, CAST(GETDATE() AS DATE))

Example 5: Join Multiple Database Properties

SELECT 
    d.Id,
    d.Title,
    d.AssignedTo,
    d.Status,
    d.DueDate
FROM Databases d
WHERE d.DatabaseId = 'YOUR_DATABASE_ID'
  AND d.AssignedTo IS NOT NULL

Example 6: Aggregate Data by Multiple Dimensions

SELECT 
    Status,
    Priority,
    COUNT(*) AS TaskCount,
    AVG(CAST(Duration AS FLOAT)) AS AvgDuration
FROM Databases
WHERE DatabaseId = 'YOUR_DATABASE_ID'
GROUP BY Status, Priority

Conclusion

Connecting Notion to Power BI using the Zappysys ODBC Driver provides a seamless way to bring your workspace data into a powerful analytics platform. With SQL queries, DAX measures, and visualisations, you can unlock insights from your Notion databases and create compelling business intelligence reports.

Explore the full capabilities of the Zappysys ODBC Drivers to integrate multiple data sources and build comprehensive Power BI dashboards. By combining Notion data with other sources, you can create unified views of your operational data.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post How to read Notion database table in PowerBI using ODBC appeared first on ZappySys Blog.

SSIS tutorial: How to get data from table in Notion

ZappySys Team — Fri, 29 May 2026 01:54:21 +0000

Introduction

Notion is a popular workspace platform used by teams to manage projects, documentation, tasks, and databases in one place. Many organisations store operational data in Notion and need to migrate it to SQL Server for reporting, analytics, and business intelligence.

Using Zappysys SSIS PowerPack, you can connect SSIS to Notion REST APIs and extract pages, database records, users, and other objects without writing custom code. This tutorial demonstrates how to connect SSIS to Notion and load data into SQL Server tables using the ZappySys REST API Source.

Prerequisites

SQL Server Integration Services (SSIS) is installed.
Visual Studio with SSIS extension or SQL Server Data Tools (SSDT).
A Notion workspace with at least one database and records.
Zappysys SSIS PowerPack is installed on your system.

Steps

Create a Notion Integration and Token

Go to Notion Integrations and sign in.
Click New integration.
Enter a name for your integration and select the target workspace.
Click Create connection to proceed.
Notion – Create a new connection
Configure the capabilities you need by checking or unchecking the relevant options.
Copy the generated Access Token and store it securely.
Notion – Configure new token
If you have difficulty creating a new connection, try using the Personal Access Token tab.

Connect your Notion database with your new connection

Open your target Notion database page in the browser.
Click … in the top-right corner.
Click Connections, search for your connection, and select it.
Confirm access to the connection.
Copy the database ID from the URL. For example:
Set URL to:
```
https://app.notion.com/p/<>?v=..........
```
Notion – Set a connection to your table

Create an HTTP connection in SSIS

Create or open your SSIS project and package.
In Connection Managers, right-click and choose New Connection…
Select ZS-HTTP from the SSIS connectors list.
Create a new HTTP connection
Set Credentials Type to Static token/API key.
Paste your Notion Access token in the token value field.
Click OK to save the configuration.
Notion – Connection configuration

Create and Configure REST API Source

Add a Data Flow Task to the Control Flow and double-click to open it.
Drag and drop Data flow
In Data Flow, drag and drop the ZS JSON Source.
SSIS JSON Source – Drag and Drop
Open the JSON Source editor and enable Use credentials.
Select the Notion HTTP connection you created earlier.

Set URL to:

https://api.notion.com/v1/databases/{{User::DatabaseId}}/query

Set HTTP Request Method to POST.
Set Body content type to JSON (application/json).
Under headers, add: Notion-Version: {NotionVersion}. (Example: 2022-06-28)
Set JSON Path Filter to extract the object array. Example: $.results[*]
Click Preview to confirm rows are returned, then click OK to save the configuration.
Notion – JSON source configuration

Configure Destination Component

Add an Upsert destination (or another destination of your choice, such as a Trash destination or a JSON/CSV/XML destination).
Connect the output arrow from JSON Source to the destination component.
Configure your SQL Server connection and target table.
Check the options you want to use: Insert or/and Update
Map the source columns to destination columns in the Mappings section.
Notion – Upsert destination
Click OK and execute the package.
Validate that Notion rows have been loaded into your SQL Server table.
Notion – Upsert Destination example

Conclusion

Connecting SSIS to Notion using Zappysys REST API Source enables reliable extraction of workspace data into SQL Server for reporting and analytics. With proper token setup, database sharing, and JSON mapping, you can operationalize Notion data pipelines without custom .NET code.

Explore the full capabilities of the ZappySys SSIS PowerPack to optimize your data integration tasks. By applying this pattern, you can extend your solution to include additional transformations, data validation, error handling, and scheduling through SQL Server Agent.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post SSIS tutorial: How to get data from table in Notion appeared first on ZappySys Blog.

How to read Monday data in PowerBI using ODBC

ZappySys Team — Fri, 22 May 2026 04:09:24 +0000

Introduction

Monday.com is a flexible work operating system that helps teams manage projects, workflows, and operations. Its GraphQL API allows you to access boards, items, groups, users, and activity data programmatically. In this tutorial, you will learn how to connect to monday.com using Zappysys ODBC Driver for REST APIs and query data using standard SQL.

By configuring an ODBC DSN for monday.com, you can pull data into Excel, Power BI, Tableau, SQL Server, Python, and other ODBC-compatible applications without writing custom API integration code.

Prerequisites

Windows operating system (32-bit or 64-bit).
A monday.com account with API access permissions.
An ODBC-compatible client tool (Excel, Power BI, Tableau, Python, SQL Server, etc.).
Install the ZappySys ODBC Driver.

Steps

Generate monday.com API Token

Sign in to your monday.com account.
Open your profile menu and go to Admin (or Developers, depending on your plan).
Navigate to Connections and click Personal API token settings.
Create a new API token (personal or app).
Copy the token and store it securely.
Monday – create token

Creating a new ODBC DSN using ZappySys JSON Driver

Search for ODBC in the Windows Start menu and open the ODBC Data Source Administrator.
In the User DSN or System DSN tab, click Add to create a new data source.
In the ODBC Data Source Setup window, select the ZappySys JSON Driver and click Continue.

Configure the Connection and API Settings

Set the following connection details:
- Base URL:
```
https://api.monday.com/v2
```
- HTTP Method: POST
- Body Content Type: JSON (application/json)
  
  Monday – ODBC JSON driver
Open the HTTP settings and configure token authentication:
- Authentication Type: Static Token / API Key
- API Key: Paste your monday.com token
- Header Name: Authorization
- OAuth Scheme: none (send raw token in header)
  Monday – ODBC HTTP Connection
Set Body Content Type to JSON (application/json).
Use this request body to fetch board metadata:
```
{
"query": "query { boards { id name } }"
}
```
Set Array Filter / JSON Path to:
```
$.data.boards[*]
```
Click Test Connection to verify connectivity, then click OK to save the DSN.

Preview Monday.com Data in ODBC Driver

Go to the Preview tab.
Select a table, then click Preview Data to confirm that rows are returned.
Monday – ODBC Final Result

Connect Power BI to monday.com via ODBC

Open Power BI Desktop.
Click Get Data in the Home ribbon.
Click More… and search for ODBC.
Click Connect.

Power BI – Get data from ODBC connection
From the dropdown, select the monday.com ODBC data source you created earlier.
You can enter a custom query for use with the ODBC JSON driver.
Click OK.
Notion – Power BI connection
Click Load to import the data into Power BI.
In the Navigator window, select the monday.com columns you want to load.
Notion – Power BI final result

Conclusion

Connecting Monday to Power BI using the Zappysys ODBC Driver provides a seamless way to bring your workspace data into a powerful analytics platformThis setup lets you access monday.com data through SQL from your preferred analytics and ETL tools without building custom API scripts.

Explore the full capabilities of the ZappySys ODBC Drivers to optimize your data access and integration strategy. You can extend this solution to include periodic data synchronization, real-time dashboards, and advanced transformations using your preferred analytics platform.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post How to read Monday data in PowerBI using ODBC appeared first on ZappySys Blog.

SSIS tutorial: How to get data from Monday.com

ZappySys Team — Thu, 21 May 2026 22:59:06 +0000

Introduction

Monday.com is a work operating system that provides a powerful GraphQL API for accessing boards, items, users, groups, and activity data. In this tutorial, you will learn how to connect monday.com to SQL Server Integration Services (SSIS) using Zappysys connectors and extract data without writing custom code.

Because monday.com API uses GraphQL over HTTP, we will configure a token-based HTTP connection and send POST requests from the ZS JSON Source. This approach gives you a repeatable ETL pattern for loading monday.com data into SQL Server tables for reporting, analytics, and automation.

Prerequisites

SQL Server Integration Services (SSIS) is installed.
Visual Studio with SSIS extension or SQL Server Data Tools (SSDT) is installed.
You have a monday.com account with permission to create API tokens and access boards.
ZappySys SSIS PowerPack is installed.

Steps

Generate a Monday.com API token

Sign in to your monday.com account.
Open your profile menu and go to Admin (or Developers, based on your plan).
Navigate to Connection and click Personal API token settings.
Create a new API token (personal or app).
Copy the token and store it securely.
Monday – create token

Create an HTTP connection in SSIS

Create or open your SSIS project and package.
In Connection Managers, right-click and choose New Connection…
Select ZS-HTTP from the SSIS connectors list.
Create a new HTTP connection
Enter the following URL: https://api.monday.com/v2
Set Credentials Type to Static token/API key.
Paste your monday.com API token in the token value field.
OAuth header Name: Authorization
OAuth Scheme: none (monday.com expects the raw token in the Authorisation header)
Click OK to save the configuration.
Monday – HTTP connection

Create and configure the ZS JSON Source for Monday.com GraphQL

Drag and drop a Data Flow Task into the Control Flow, then open it.
Drag and drop Data flow
In Data Flow, drag and drop the ZS JSON Source.
SSIS JSON Source – Drag and Drop
Open the JSON Source editor and enable Use credentials.
Select the monday.com HTTP connection you created earlier.
Set URL to:
```
https://api.monday.com/v2
```
Set HTTP Request Method to POST.
Set Body content type to JSON (application/json).

Use this GraphQL body to retrieve boards:

{
  "query": "query { boards { id name } }"
}

Set JSON Path Filter to:
```
$.data.boards[*]
```
Click Preview to confirm rows are returned, then click OK to save the configuration.
Monday – JSON Source

Optional: Load board items instead of board metadata

Replace the body with a query that returns items from a board:

{
    "query": "query { boards(ids: 1234567890) { id name items_page(limit: 100) { items { id name created_at updated_at } } } }"
}

Replace 1234567890 with your real board ID.
Use JSON Path Filter:
```
$.data.boards[*].items_page.items[*]
```

Configure Destination Component

Add an Upsert destination (or another destination of your choice, such as a Trash destination or a JSON/CSV/XML destination).
Connect the output arrow from JSON Source to the destination component.
Configure your SQL Server connection and target table.
Check the options you want to use: Insert or/and Update
Map the source columns to destination columns in the Mappings section.
Monday – Upsert destination
Click OK and execute the package.
Validate that Monday rows have been loaded into your SQL Server table.
Monday – Upsert Destination example

Conclusion

You now have a working SSIS integration pattern for monday.com using Zappysys HTTP + JSON Source components. By sending GraphQL POST requests to the monday.com API endpoint, you can extract boards, items, users, and more into SQL Server without writing custom scripts.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post SSIS tutorial: How to get data from Monday.com appeared first on ZappySys Blog.

How to extract data from Trello

ZappySys Team — Thu, 07 May 2026 22:34:48 +0000

Introduction

Trello is a popular project management platform used by teams worldwide to organize tasks, track progress, and collaborate on projects. Many applications and tools need to integrate with Trello data for reporting, analytics, and business intelligence. Using Zappysys ODBC Driver for Trello, you can easily query card data, lists, and board information from Trello using standard SQL queries without writing custom code.

This tutorial demonstrates how to connect to Trello via ODBC and extract card and board data for use in your applications, databases, and reporting tools.

Prerequisites

A Windows or Linux system with an ODBC driver manager installed.
An ODBC-compatible application (Excel, Power BI, Tableau, database tool, etc.).
A Trello account with at least one board and list created.
Finally, install the ZappySys ODBC Driver.

Steps

Generate Trello API Key and Token

Go to the Trello Power-up page and log in to your account.
Create a new App and fill in the form.
Trello – Create a new App
Inside your new App, click the API key, then generate a new API Key.
Trello – API key page
In the API Key section, click the Token link to generate an access token.
Trello – API key and Token link
Choose the token’s expiration time (Recommended: 30 days for security).
Review the permissions and click Create Token.
Copy the generated token and store it securely.
You now have both your API Key and Token. Keep these credentials confidential.

Creating a new ODBC DSN using ZappySys JSON Driver

Search for ODBC in the Windows Start menu and open the ODBC Data Source Administrator.
In the User DSN or System DSN tab, click Add to create a new data source.
In the ODBC Data Source Setup window, select the ZappySys JSON Driver and click Continue.

Configure the Connection and API Settings

In the Base URL field, enter the URL:
```
https://api.trello.com/1/members/me/boards?key={{TrelloApiKey}}&token={{TrelloToken}}
```
For more examples:
GET /boards/{boardId}/cards — Retrieve all cards from a specific board
GET /boards/{boardId}/lists — Retrieve all lists from a specific board
GET /cards/{cardId} — Retrieve details of a specific card
In the Request Method, use GET
You can use the Array filter to get the object you need.
Test the connection to check everything is working fine

Trello – ODBC configuration

Preview the data

Once your ODBC DSN is configured, go to the preview tab.
Select the table you want to use.
Press the Preview data button to see the result.
Trello – ODBC final result

Conclusion

Connecting to Trello via ODBC with the Zappysys ODBC Driver simplifies integrating project management data into your applications, databases, and reporting tools without custom development. By following the steps outlined in this tutorial, you can build reliable data connections that allow you to query Trello data using standard SQL and access it from Excel, Power BI, Python, SQL Server, and many other tools. Whether you need to track project progress, analyze team productivity, consolidate data from multiple teams, or create executive dashboards, Trello integration via ODBC provides a flexible and powerful solution.

Need Help?

If you encounter any issues, our support team is here to help:

Live Chat — Use the chat widget (bottom-right corner of this page)
Email — support@zappysys.com
Support Center — Visit the ZappySys Support Portal

The post How to extract data from Trello appeared first on ZappySys Blog.