Tutorials

Build a connector to extract data from the Webflow API

Learn how to use Airbyte’s Python CDK to write a source connector that extracts data from the Webflow API.

Deploy Airbyte Open Source Try airbyte for free

Summarize with AI:

Because of the open source nature of Airbyte, it is relatively easy to create your own connectors. In this article I presented the Webflow source connector implementation as an example of how to create a custom Airbyte source connector written in Python. Topics that I covered include authentication, pagination, dynamic stream generation, dynamic schema generation, connectivity checking, parsing of responses, and how to import a connector into the Airbyte UI.

If you are not able to find an existing source connector to meet your requirements, you can fork the Airbyte Github repo and build your own custom source connector – the steps that I have presented in this article should be generalizable to a large number of API data sources.

With Airbyte, the data integration possibilities are endless, and we can't wait to see what you will build! We invite you to join the conversation on our community Slack Channel, to participate in our discussions on Airbyte’s discourse, or to signup for our newsletter.