How to load data from Notion to S3 Glue

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

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Set up a Notion connector in Airbyte

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

Set up S3 Glue for your extracted Notion 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 Notion to S3 Glue 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: Export Data from Notion

First, you'll need to manually export the data from Notion. Open the Notion page or database you wish to export. Click on the "..." menu at the top-right corner, choose "Export," and select the "Markdown & CSV" option. This will download your data in a ZIP file containing CSV files, which you will use for further processing.

Once you have your ZIP file, unzip it to extract the CSV files. Ensure that the data is structured correctly and that any unnecessary columns or formatting issues are dealt with. You can use spreadsheet applications like Excel or Google Sheets to clean and organize your data if needed.

Download and install the AWS Command Line Interface (CLI) on your local machine. Configure it with your AWS credentials by running `aws configure` in your terminal or command prompt. Enter your AWS Access Key ID, Secret Access Key, region, and output format when prompted. This will allow you to interact with AWS services from your terminal.

Use the AWS CLI to upload your CSV files to an S3 bucket. First, create an S3 bucket if you haven't already via the AWS Management Console or using the CLI (`aws s3 mb s3://your-bucket-name`). Then, upload your files using the command `aws s3 cp /local/path/to/your/file.csv s3://your-bucket-name/`. Repeat this for each file you need to upload.

Log in to the AWS Management Console and navigate to the AWS Glue service. Create a new crawler by specifying the source type as "Data stores" and selecting your S3 bucket as the data source. This crawler will scan your CSV files and create a metadata catalog in the AWS Glue Data Catalog.

After setting up the crawler, run it to populate the Glue Data Catalog with metadata about your data. This step will automatically determine the schema of your CSV files and create the necessary tables in the Data Catalog for you to use in Glue jobs.

Create a new Glue Job to process your data. In the AWS Glue Console, select "Jobs" and choose "Add job." Configure the script to read from the Data Catalog tables created by the crawler and perform any necessary transformations. Finally, specify an output location in S3 where the transformed data will be stored. Run the job to move your data from the source CSV files to the processed format in S3.
By following these steps, you will successfully move data from Notion to Amazon S3 using AWS Glue, without relying on third-party connectors or integrations.