.png)
Trusted by data-driven companies
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say
"For TUI Musement, Airbyte cut development time in half and enabled dynamic customer experiences."
“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.”
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
- Open your web browser and go to Notion.
- Log in to your account.
- Navigate to the workspace where your data is located.
- Locate the page or database you want to export.
- Ensure that the data is structured in a way that can be easily translated into CSV format (tables are ideal for this).
- If you’re exporting a database, click on the database to open it.
- Click on the
...(more options) button in the upper-right corner of the Notion page or database. - From the dropdown menu, select “Export.”
- In the export options, choose the format. For databases, you can export directly to CSV. For pages, you might have to choose “Markdown & CSV.”
- Make sure to deselect “Include subpages” if you do not want to export content from any linked subpages.
- Click on the “Export” button.
- Notion will prepare your export and then provide a download link.
- Click on the download link to download the ZIP file containing your exported data.
- Locate the downloaded ZIP file on your computer.
- Extract the contents of the ZIP file to a folder of your choice.
- Inside the extracted folder, you will find your data in CSV format if you exported a database. If you exported a page, locate the CSV file associated with any tables on that page.
- Open the CSV file with a spreadsheet program like Microsoft Excel, Google Sheets, or another CSV-compatible editor.
- Review the data to ensure it exported correctly.
- Make any necessary adjustments to the data:
- Remove unwanted columns or rows.
- Correct any formatting issues.
- Ensure that the data types are correct (e.g., dates, numbers, text).
- If you made changes, save the file in your editor.
- If you’re using a spreadsheet program, you may need to export or save the file specifically as a CSV file again:
- In Excel, go to “File” > “Save As” and choose “CSV (Comma delimited) (*.csv)” as the file type.
- In Google Sheets, go to “File” > “Download” > “Comma-separated values (.csv, current sheet).”
- Your data is now in a CSV file and can be used in other applications, imported into databases, or processed by scripts.
Additional Notes:
- Always back up your Notion data before performing any export, especially if you plan to delete the data from Notion after the export.
- Review Notion’s privacy policy and terms of service to ensure that you are compliant with any data handling and export rules.
- CSV files are plain text and can be manipulated programmatically with scripting languages like Python, using libraries such as
csvorpandas, if further data processing is needed.
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.
Notion is an all-in-one workspace that allows users to organize their personal and professional lives in one place. It combines features of note-taking apps, project management tools, and databases to create a customizable and flexible platform. Users can create pages, databases, and boards to manage tasks, projects, and information. Notion also offers a variety of templates and integrations with other apps to enhance productivity. Its user-friendly interface and collaborative features make it a popular choice for individuals and teams looking to streamline their workflows and stay organized.
Notion's API provides access to a wide range of data types, including:
1. Pages: This includes all the pages in a Notion workspace, including their properties and content.
2. Databases: Notion's databases are a powerful way to organize and manage data. The API provides access to all the databases in a workspace, including their properties and content.
3. Blocks: Notion's blocks are the building blocks of pages and databases. The API provides access to all the blocks in a workspace, including their content and properties.
4. Users: Notion's API provides access to information about the users in a workspace, including their name, email address, and profile picture.
5. Workspaces: The API provides access to information about the workspaces themselves, including their name and ID.
6. Integrations: Notion's API allows developers to create integrations with other tools and services, such as Slack or Zapier.
Overall, Notion's API provides a comprehensive set of tools for accessing and manipulating data within a workspace, making it a powerful platform for building custom applications and workflows.
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.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
