How to load data from Notion to Postgres destination

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

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

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How to Sync to Manually

Step 1: Export Data from Notion

Begin by exporting the data from Notion. Navigate to the Notion page or database you wish to export. Click on the three dots in the upper right corner, select "Export," choose the format you prefer (such as CSV for tables), and save the file to your local machine.

Step 2: Prepare Your Local Environment

Ensure you have a working PostgreSQL server installed and running on your local machine or accessible from your network. Also, make sure you have a PostgreSQL client (such as `psql`) or a GUI tool (like pgAdmin) to interact with your database.

Step 3: Create a PostgreSQL Database and Table

Access your PostgreSQL server using your preferred method (CLI or GUI). Create a new database by executing a command like `CREATE DATABASE notion_data;`. Once the database is created, switch to it using `\c notion_data` or equivalent in your GUI tool. Define the schema and create a table structure that matches the data format you exported from Notion. For example:
```sql
CREATE TABLE notion_table (
id SERIAL PRIMARY KEY,
column1 TEXT,
column2 TEXT,
...
);
```

Step 4: Clean and Prepare Data for Import

Open the exported CSV file from Notion using a text editor or spreadsheet software. Ensure the data is clean and correctly formatted for PostgreSQL import. Remove any unnecessary columns or rows, and make sure that date formats, numbers, and text align with your PostgreSQL table schema.

Step 5: Import Data into PostgreSQL

Use the `COPY` command or the `\copy` command in `psql` to import the data into your PostgreSQL table. The `COPY` command is executed on the server, while `\copy` is executed from the client. Here’s an example using `\copy`:
```sql
\copy notion_table(column1, column2, ...) FROM '/path/to/exported_file.csv' DELIMITER ',' CSV HEADER;
```

Step 6: Validate the Data Import

After importing the data, validate it to ensure everything transferred correctly. Execute SQL queries to count the rows and check for discrepancies. For instance:
```sql
SELECT COUNT(*) FROM notion_table;
```
Compare this with the number of rows in your CSV file. Also, perform spot checks on random rows to verify data integrity.

Step 7: Automate the Process (Optional)

If you need to perform this transfer regularly, consider writing a script in a language such as Python or Bash to automate the process. Use libraries like `psycopg2` for Python to interact with PostgreSQL and automate CSV reading and data insertion. This will save time and reduce human error in future data transfers.
By following these steps, you will have successfully transferred data from Notion to PostgreSQL without relying on third-party connectors or integrations.