How to load data from Sendinblue to Postgres destination

Learn how to use Airbyte to synchronize your Sendinblue data into Postgres destination within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Sendinblue connector in Airbyte

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

Set up Postgres destination for your extracted Sendinblue data

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

Configure the Sendinblue to Postgres destination 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.

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How to Sync to Manually

Step 1: Understand Sendinblue API

Begin by familiarizing yourself with the Sendinblue API documentation. This will help you understand how to authenticate and retrieve data using their API. Focus on identifying the endpoints that provide the data you need to transfer.

Set up your PostgreSQL database if it isn't already. Create tables that mirror the structure of the data you intend to transfer from Sendinblue. Ensure your database server is running and accessible.

Generate an API key from your Sendinblue account. This key will be used to authenticate your requests. Securely store this key as you’ll need it to retrieve data programmatically.

Develop a script using a programming language like Python. Utilize libraries such as `requests` to make HTTP GET requests to Sendinblue's API endpoints. Use the API key for authentication. Parse the JSON responses to extract the necessary data fields.

Before inserting data into PostgreSQL, transform it to match the database schema. Ensure data types are compatible, and handle any necessary conversions, such as date formats or enumerated types.

Extend your script to establish a connection to your PostgreSQL database using a library like `psycopg2` or `SQLAlchemy`. Construct `INSERT` statements to load the transformed data into the appropriate tables. Implement error handling to manage potential insertion issues.

Once your script is tested and functioning correctly, automate the process using a task scheduler like `cron` on Unix-based systems or Task Scheduler on Windows. Schedule regular intervals for data fetching and insertion to keep your PostgreSQL database updated with the latest data from Sendinblue.

By following these steps, you can manually transfer data from Sendinblue to a PostgreSQL database without relying on third-party connectors or integrations.