How to load data from Insightly to S3

Learn how to use Airbyte to synchronize your Insightly data into S3 within minutes.

Try Airbyte Cloud

Get a demo

Building your pipeline or Using Airbyte

Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Insightly connector in Airbyte

Connect to Insightly or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up S3 for your extracted Insightly data

Select S3 where you want to import data from your Insightly source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Insightly to S3 in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Try Airbyte Cloud

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Old Automated Content

TL;DR

set up Insightly as a source connector (using Auth, or usually an API key)
set up S3 as a destination connector
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 Insightly

Insightly is a cloud-based customer relationship management (CRM) software that helps businesses manage their sales, marketing, and customer service activities. It provides a centralized platform for managing customer interactions, tracking leads and opportunities, and automating workflows. Insightly also offers project management tools, allowing teams to collaborate on tasks and projects, and track progress in real-time. The software integrates with popular business applications such as Google Apps, Office 365, and Mailchimp, making it easy to streamline workflows and improve productivity. With Insightly, businesses can gain valuable insights into their customers and improve their overall customer experience.

What is S3

Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS). It is designed to store and retrieve any amount of data from anywhere on the web. S3 is highly scalable, secure, and durable, making it an ideal solution for businesses of all sizes. S3 allows users to store and retrieve data in the form of objects, which can be up to 5 terabytes in size. These objects can be accessed through a web interface or through APIs, making it easy to integrate with other AWS services or third-party applications. S3 also offers a range of features, including versioning, lifecycle policies, and access control, which allow users to manage their data effectively. It also provides high availability and durability, ensuring that data is always accessible and protected against data loss. Overall, S3 is a powerful and flexible tool that enables businesses to store and manage their data in a secure and scalable way, making it an essential component of many cloud-based applications and services.

Integrate Insightly with S3 in minutes

Try for free now

Prerequisites

A Insightly account to transfer your customer data automatically from.
A S3 account.
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 Insightly and S3, for seamless data migration.

When using Airbyte to move data from Insightly to S3, it extracts data from Insightly using the source connector, converts it into a format S3 can ingest using the provided schema, and then loads it into S3 via the destination connector. This allows businesses to leverage their Insightly data for advanced analytics and insights within S3, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Insightly as a source connector

1. Go to the Airbyte website and sign up for an account.
2. Once you have logged in, click on the ""Sources"" tab on the left-hand side of the screen.
3. Scroll down until you find the Insightly source connector and click on it.
4. Click on the ""Create new connection"" button.
5. Enter your Insightly API key and click on the ""Test connection"" button to ensure that the connection is working properly.
6. Once the connection has been tested successfully, click on the ""Save & Continue"" button.
7. Choose the data you want to sync from Insightly and click on the ""Save & Continue"" button.
8. Configure the sync settings, such as the frequency of the sync and the destination for the data.
9. Click on the ""Save & Run"" button to start the sync process.
10. Monitor the sync progress and ensure that the data is being transferred correctly.

Step 2: Set up S3 as a destination connector

1. Log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.

2. Click on the "Add Destination" button and select "S3" from the list of available connectors.

3. Enter your AWS access key ID and secret access key in the appropriate fields. If you don't have these credentials, you can generate them in the AWS console.

4. Choose the AWS region where you want to store your data.

5. Enter the name of the S3 bucket where you want to store your data. If the bucket doesn't exist yet, you can create it in the AWS console.

6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).

7. Configure any additional settings, such as compression or encryption, if desired.

8. Test the connection to ensure that Airbyte can successfully connect to your S3 bucket.

9. Save your settings and start syncing data from your source connectors to your S3 destination.

Step 3: Set up a connection to sync your Insightly data to S3

Once you've successfully connected Insightly as a data source and S3 as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Insightly from the dropdown list of your configured sources.
Select your destination: Choose S3 from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Insightly objects you want to import data from towards S3. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Insightly to S3 according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your S3 data warehouse is always up-to-date with your Insightly data.

Use Cases to transfer your Insightly data to S3

Integrating data from Insightly to S3 provides several benefits. Here are a few use cases:

Advanced Analytics: S3’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Insightly data, extracting insights that wouldn't be possible within Insightly alone.
Data Consolidation: If you're using multiple other sources along with Insightly, syncing to S3 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.
Historical Data Analysis: Insightly has limits on historical data. Syncing data to S3 allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: S3 provides robust data security features. Syncing Insightly data to S3 ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: S3 can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Insightly data.
Data Science and Machine Learning: By having Insightly data in S3, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Insightly provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to S3, providing more advanced business intelligence options. If you have a Insightly table that needs to be converted to a S3 table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Insightly account as an Airbyte data source connector.
Configure S3 as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Insightly to S3 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:

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

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

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

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Jean-Mathieu Saponaro

Data & Analytics Senior Eng Manager

"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"

Learn more

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Alexis Weill

Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”

Learn more

How to Sync Insightly to S3 Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Insightly?

What data can you extract from Insightly?

Insightly's API provides access to a wide range of data related to customer relationship management (CRM) and project management. The following are the categories of data that can be accessed through Insightly's API:

1. Contacts: This includes information about individuals or organizations that are associated with a company, such as their name, email address, phone number, and job title.

2. Organizations: This includes information about companies or other types of organizations, such as their name, address, and industry.

3. Opportunities: This includes information about potential sales opportunities, such as the name of the opportunity, the expected revenue, and the stage of the sales process.

4. Projects: This includes information about ongoing projects, such as the project name, description, and status.

5. Tasks: This includes information about tasks that need to be completed as part of a project, such as the task name, due date, and status.

6. Events: This includes information about events that are scheduled, such as the event name, date, and location.

7. Notes: This includes information about notes that have been added to a contact, organization, opportunity, project, or task.

8. Emails: This includes information about emails that have been sent or received by a contact or organization.

How do I transfer data from Insightly?

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 Insightly to S3 as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Insightly to S3 and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Back to all tutorials

Warehouses and Lakes

Sales & Support Analytics

How to load data from Insightly to S3

Learn how to use Airbyte to synchronize your Insightly data into S3 within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Insightly

Step 2: Setup S3

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Insightly and S3

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Insightly as a source connector (using Auth, or usually an API key)
set up S3 as a destination connector
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 Insightly