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How to load data from Netsuite to Google Sheets

Learn how to use Airbyte to synchronize your Netsuite data into Google Sheets within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Netsuite as a source connector (using Auth, or usually an API key)
  2. set up Google Sheets as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Netsuite

NetSuite is a comprehensive cloud-based business management suite that provides an integrated platform for managing various business processes, including financials, customer relationship management (CRM), e-commerce, inventory management, and more. It offers a unified system that eliminates data silos and enables real-time visibility across an organization. NetSuite's core features include financial management, order and billing management, supply chain and warehouse management, project management, and customer support management. With its flexible and scalable architecture, NetSuite can adapt to the unique needs of businesses across different industries and sizes. By consolidating multiple business functions into a single platform, NetSuite streamlines operations, improves efficiency, and provides actionable insights for informed decision-making.

What is Google Sheets

Google Sheets is a cloud-based spreadsheet tool that allows users to create, edit, and share spreadsheets online. It is a part of the Google Drive suite of productivity tools and is accessible from any device with an internet connection. Google Sheets offers a range of features that make it a powerful tool for data analysis, project management, and collaboration. Users can create and format spreadsheets, add formulas and functions, and create charts and graphs to visualize data. Google Sheets also allows users to collaborate in real-time, making it easy to work on projects with others. Users can share spreadsheets with specific people or make them public, and can control who has access to edit or view the document. Additionally, Google Sheets integrates with other Google tools such as Google Forms, allowing users to collect data and automatically populate it into a spreadsheet. Overall, Google Sheets is a versatile and user-friendly tool that can be used for a variety of tasks, from simple calculations to complex data analysis.

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Prerequisites

  1. A Netsuite account to transfer your customer data automatically from.
  2. A Google Sheets account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Netsuite and Google Sheets, for seamless data migration.

When using Airbyte to move data from Netsuite to Google Sheets, it extracts data from Netsuite using the source connector, converts it into a format Google Sheets can ingest using the provided schema, and then loads it into Google Sheets via the destination connector. This allows businesses to leverage their Netsuite data for advanced analytics and insights within Google Sheets, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Netsuite as a source connector

1. First, navigate to the "Sources" tab on the Airbyte dashboard and click "Create a new source."
2. Select "Netsuite" from the list of available connectors.
3. Enter a name for your Netsuite source and click "Next."
4. Enter your Netsuite account ID, email address, and password in the appropriate fields.
5. Click "Test connection" to ensure that your credentials are correct and that Airbyte can connect to your Netsuite account.
6. If the connection is successful, click "Save" to add your Netsuite source to Airbyte.
7. You can now configure your Netsuite source by selecting the tables and fields you want to replicate and setting any necessary filters or transformations.
8. Once you have configured your Netsuite source, click "Create a new destination" to select where you want to send your data.
9. Follow the prompts to set up your destination and map your Netsuite data to the appropriate fields.
10. Once you have configured your destination, click "Create connection" to start replicating data from your Netsuite source to your destination.

Step 2: Set up Google Sheets as a destination connector

1. Go to the Airbyte website and log in to your account.
2. Click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Sheets" destination connector and click on it.
4. Click on the "Create Destination" button.
5. Enter a name for your destination and click on the "Create" button.
6. You will be redirected to the Google Sheets authorization page. Sign in to your Google account if you haven't already.
7. Click on the "Allow" button to grant Airbyte access to your Google Sheets account.
8. You will be redirected back to the Airbyte website. Select the Google Sheets destination you just created from the list of destinations.
9. Enter the name of the spreadsheet you want to use as your destination and select the worksheet you want to use.
10. Click on the "Test" button to make sure the connection is working properly.
11. If the test is successful, click on the "Save" button to save your destination settings.
12. You can now use the Google Sheets destination connector to transfer data from your source to your Google Sheets destination.

Step 3: Set up a connection to sync your Netsuite data to Google Sheets

Once you've successfully connected Netsuite as a data source and Google Sheets as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Netsuite from the dropdown list of your configured sources.
  3. Select your destination: Choose Google Sheets from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Netsuite objects you want to import data from towards Google Sheets. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Netsuite to Google Sheets according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google Sheets data warehouse is always up-to-date with your Netsuite data.

Use Cases to transfer your Netsuite data to Google Sheets

Integrating data from Netsuite to Google Sheets provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Google Sheets’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Netsuite data, extracting insights that wouldn't be possible within Netsuite alone.
  2. Data Consolidation: If you're using multiple other sources along with Netsuite, syncing to Google Sheets allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Netsuite has limits on historical data. Syncing data to Google Sheets allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Google Sheets provides robust data security features. Syncing Netsuite data to Google Sheets ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Google Sheets can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Netsuite data.
  6. Data Science and Machine Learning: By having Netsuite data in Google Sheets, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Netsuite provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google Sheets, providing more advanced business intelligence options. If you have a Netsuite table that needs to be converted to a Google Sheets table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Netsuite account as an Airbyte data source connector.
  2. Configure Google Sheets as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Netsuite to Google Sheets after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
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Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Netsuite as a source connector (using Auth, or usually an API key)
  2. set up Google Sheets as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Netsuite

NetSuite is a comprehensive cloud-based business management suite that provides an integrated platform for managing various business processes, including financials, customer relationship management (CRM), e-commerce, inventory management, and more. It offers a unified system that eliminates data silos and enables real-time visibility across an organization. NetSuite's core features include financial management, order and billing management, supply chain and warehouse management, project management, and customer support management. With its flexible and scalable architecture, NetSuite can adapt to the unique needs of businesses across different industries and sizes. By consolidating multiple business functions into a single platform, NetSuite streamlines operations, improves efficiency, and provides actionable insights for informed decision-making.

What is Google Sheets

Google Sheets is a cloud-based spreadsheet tool that allows users to create, edit, and share spreadsheets online. It is a part of the Google Drive suite of productivity tools and is accessible from any device with an internet connection. Google Sheets offers a range of features that make it a powerful tool for data analysis, project management, and collaboration. Users can create and format spreadsheets, add formulas and functions, and create charts and graphs to visualize data. Google Sheets also allows users to collaborate in real-time, making it easy to work on projects with others. Users can share spreadsheets with specific people or make them public, and can control who has access to edit or view the document. Additionally, Google Sheets integrates with other Google tools such as Google Forms, allowing users to collect data and automatically populate it into a spreadsheet. Overall, Google Sheets is a versatile and user-friendly tool that can be used for a variety of tasks, from simple calculations to complex data analysis.

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Prerequisites

  1. A Netsuite account to transfer your customer data automatically from.
  2. A Google Sheets account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Netsuite and Google Sheets, for seamless data migration.

When using Airbyte to move data from Netsuite to Google Sheets, it extracts data from Netsuite using the source connector, converts it into a format Google Sheets can ingest using the provided schema, and then loads it into Google Sheets via the destination connector. This allows businesses to leverage their Netsuite data for advanced analytics and insights within Google Sheets, simplifying the ETL process and saving significant time and resources.

Methods to Move Data From Netsuite to google sheets

  • Method 1: Connecting Netsuite to google sheets using Airbyte.
  • Method 2: Connecting Netsuite to google sheets manually.

Method 1: Connecting Netsuite to google sheets using Airbyte

Step 1: Set up Netsuite as a source connector

1. First, navigate to the "Sources" tab on the Airbyte dashboard and click "Create a new source."
2. Select "Netsuite" from the list of available connectors.
3. Enter a name for your Netsuite source and click "Next."
4. Enter your Netsuite account ID, email address, and password in the appropriate fields.
5. Click "Test connection" to ensure that your credentials are correct and that Airbyte can connect to your Netsuite account.
6. If the connection is successful, click "Save" to add your Netsuite source to Airbyte.
7. You can now configure your Netsuite source by selecting the tables and fields you want to replicate and setting any necessary filters or transformations.
8. Once you have configured your Netsuite source, click "Create a new destination" to select where you want to send your data.
9. Follow the prompts to set up your destination and map your Netsuite data to the appropriate fields.
10. Once you have configured your destination, click "Create connection" to start replicating data from your Netsuite source to your destination.

Step 2: Set up Google Sheets as a destination connector

1. Go to the Airbyte website and log in to your account.
2. Click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Sheets" destination connector and click on it.
4. Click on the "Create Destination" button.
5. Enter a name for your destination and click on the "Create" button.
6. You will be redirected to the Google Sheets authorization page. Sign in to your Google account if you haven't already.
7. Click on the "Allow" button to grant Airbyte access to your Google Sheets account.
8. You will be redirected back to the Airbyte website. Select the Google Sheets destination you just created from the list of destinations.
9. Enter the name of the spreadsheet you want to use as your destination and select the worksheet you want to use.
10. Click on the "Test" button to make sure the connection is working properly.
11. If the test is successful, click on the "Save" button to save your destination settings.
12. You can now use the Google Sheets destination connector to transfer data from your source to your Google Sheets destination.

Step 3: Set up a connection to sync your Netsuite data to Google Sheets

Once you've successfully connected Netsuite as a data source and Google Sheets as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Netsuite from the dropdown list of your configured sources.
  3. Select your destination: Choose Google Sheets from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Netsuite objects you want to import data from towards Google Sheets. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Netsuite to Google Sheets according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google Sheets data warehouse is always up-to-date with your Netsuite data.

Method 2: Connecting Netsuite to google sheets manually

To move data from NetSuite to Google Sheets without using third-party connectors or integrations, you can use a combination of NetSuite's built-in capabilities (such as SuiteScript, CSV exports, and RESTlets) and Google Sheets' scripting and import functions. Below is a step-by-step guide to accomplish this task:

Step 1: Prepare your NetSuite Data

1. Identify the Data: Determine which records or fields you want to move from NetSuite to Google Sheets.

2. Create a Saved Search or Report: In NetSuite, create a saved search or report that includes all the data you want to export.

3. Export Data: Use the export feature in NetSuite to export the saved search or report results to a CSV file. This can typically be done by clicking on the "Export" button and selecting CSV as the format.

Step 2: Prepare your Google Sheets

1. Create a New Google Sheet: Open Google Sheets and create a new spreadsheet where you want to import your NetSuite data.

2. Set Up Import Structure: Define the structure of your Google Sheet, matching the column headers to the fields you exported from NetSuite.

Step 3: Write a Script in Google Sheets

1. Access Script Editor: In your Google Sheets, go to Extensions > Apps Script to open the script editor.

2. Write a Script to Import CSV Data: Create a script that will parse the CSV file and import the data into your Google Sheet. Here's a simple example of how you might write a script to import data from a CSV file:

```javascript

function importCSVFromWeb() {

  var csvUrl = "URL_OF_YOUR_CSV_FILE"; // You'll need to host the CSV file online temporarily

  var csvContent = UrlFetchApp.fetch(csvUrl).getContentText();

  var csvData = Utilities.parseCsv(csvContent);

  var sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();

  for (var i = 0; i < csvData.length; i++) {

    sheet.appendRow(csvData[i]);

  }

}

```

3. Save and Run the Script: After writing the script, save it and run the function to import the data into your Google Sheet.

Step 4: Automate Data Retrieval (Optional)

If you need to regularly update your Google Sheets with data from NetSuite, you can automate the data retrieval process:

1. Create a RESTlet in NetSuite: Develop a RESTlet script in NetSuite using SuiteScript that will output the required data in CSV format when called.

2. Host the CSV: Have the RESTlet save the CSV file to a publicly accessible URL or use NetSuite's file cabinet to host the CSV.

3. Schedule the Script in Google Sheets: Use Google App Script's Triggers feature to run your import function at regular intervals.

   - Go to the script editor.

   - Click on the clock icon to open the "Current project's triggers" page.

   - Click on "Add Trigger" and set it up to run your `importCSVFromWeb` function periodically.

Step 5: Secure your Data Transfer

Make sure that any data transfer between NetSuite and Google Sheets is secure:

1. Use HTTPS: Ensure that the URL where you host your CSV file is secured with HTTPS.

2. Access Control: Implement access control on the NetSuite side to ensure only authorized requests can call the RESTlet and access the CSV data.

3. Handle Sensitive Data Carefully: If your data is sensitive, consider additional encryption or anonymization techniques before transferring it.

Step 6: Test and Debug

1. Test the Entire Process: Run through the entire process from exporting data from NetSuite to importing it into Google Sheets to ensure everything works as expected.

2. Debug Any Issues: If the data isn't importing correctly, use the debugging tools in both NetSuite and Google Apps Script to troubleshoot the issue.

Step 7: Document the Process

Document the process for future reference or for other team members to understand the workflow and maintenance procedures.

Remember, this process requires manual intervention to export and host the CSV file unless you automate the CSV generation and hosting within NetSuite. Always ensure compliance with data privacy regulations and consider the security implications of hosting and transferring your data.

Use Cases to transfer your Netsuite data to Google Sheets

Integrating data from Netsuite to Google Sheets provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Google Sheets’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Netsuite data, extracting insights that wouldn't be possible within Netsuite alone.
  2. Data Consolidation: If you're using multiple other sources along with Netsuite, syncing to Google Sheets allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Netsuite has limits on historical data. Syncing data to Google Sheets allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Google Sheets provides robust data security features. Syncing Netsuite data to Google Sheets ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Google Sheets can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Netsuite data.
  6. Data Science and Machine Learning: By having Netsuite data in Google Sheets, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Netsuite provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google Sheets, providing more advanced business intelligence options. If you have a Netsuite table that needs to be converted to a Google Sheets table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Netsuite account as an Airbyte data source connector.
  2. Configure Google Sheets as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Netsuite to Google Sheets after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Frequently Asked Questions

What data can you extract from Netsuite?

Netsuite's API provides access to a wide range of data categories, including:  

1. Financial data: This includes information related to accounting, billing, payments, and financial reporting.  
2. Customer data: This includes data related to customer profiles, orders, transactions, and interactions.  
3. Inventory data: This includes information related to inventory levels, stock movements, and product information.  
4. Sales data: This includes data related to sales orders, quotes, and opportunities.  
5. Marketing data: This includes data related to campaigns, leads, and marketing automation.  
6. Support data: This includes data related to customer support cases, tickets, and resolutions.  
7. Employee data: This includes data related to employee profiles, time tracking, and payroll.  
8. Custom data: This includes data related to custom fields, records, and workflows that are specific to a company's unique needs.  

Overall, Netsuite's API provides access to a comprehensive set of data categories that can be used to support a wide range of business processes and decision-making activities.

What data can you transfer to Google Sheets?

You can transfer a wide variety of data to Google Sheets. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Netsuite to Google Sheets?

The most prominent ETL tools to transfer data from Netsuite to Google Sheets include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Netsuite and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Google Sheets and other databases, data warehouses and data lakes, enhancing data management capabilities.