#webhook #python #naas #lowcode #datascience #automation #ai #data #tutorials
🚀 Get the template free on this page : https://www.naas.ai/features/webhook
This video shows how to set up a webhook with Naas notebooks & its low-code Python formulas.
To play with Naas webhook feature you need to :
Please find the steps to get the body from your request :
1- In your Naas notebook in Naas, add a cell with "parameters" tag
2- Create the webhook with naas.webhook.add()
3- Setup the webhook in the source application and execute it
4- Go back to Naas and get your webhook output to see the result with naas.webhook.get_output()
5- Check the output format with naas formula and iterate on the data to build your pipeline.
Linking 2 apps between each other have never been so easy!
👉 With the open-source Naas.ai and its naas_drivers, get straight to the point and setup a webhook in less than 5 minutes!
More info on Naas documentation :
https://naas.gitbook.io/naas/features...
About Naas.ai :
Naas is the first Jupyter based data-science platform that allows you to schedule, run, and expose all the awesome things you can with notebooks.
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