Hey @databicky ,

You can automate the process of copying notebooks from one Databricks environment to another using the Databricks REST API within a notebook. I show you the easiest way I found to do it

import json
import requests
import base64

# ==============================
#  CONFIGURATION: Databricks Details
# ==============================

# Source Databricks details
SOURCE_DATABRICKS_HOST = "https://<source-workspace>.cloud.databricks.com"
SOURCE_TOKEN = "dapiXXXXXXXXXXXXXXXXXXXXXXXXX"
NOTEBOOK_PATH = "/Workspace/Users/<source-user>/notebook_name"

# Destination Databricks details
DEST_DATABRICKS_HOST = "https://<destination-workspace>.cloud.databricks.com"
DEST_TOKEN = "dapiYYYYYYYYYYYYYYYYYYYYYYYYY"
DEST_NOTEBOOK_PATH = "/Workspace/Users/<destination-user>/notebook_name"

# ==============================
#  STEP 1: EXPORT NOTEBOOK FROM SOURCE
# ==============================
export_url = f"{SOURCE_DATABRICKS_HOST}/api/2.0/workspace/export"
headers = {"Authorization": f"Bearer {SOURCE_TOKEN}"}
params = {"path": NOTEBOOK_PATH, "format": "SOURCE"}

response = requests.get(export_url, headers=headers, params=params)

if response.status_code == 200:
    notebook_data = response.json()
    
    # Decode Base64 content
    notebook_content = base64.b64decode(notebook_data["content"]).decode("utf-8")
    
    print("\nNotebook exported successfully!")
    
    # Save locally as a file for reference (optional)
    with open("exported_notebook.py", "w", encoding="utf-8") as f:
        f.write(notebook_content)

    print("Decoded content saved as 'exported_notebook.py'\n")

else:
    print(f"Failed to export: {response.status_code} - {response.text}")
    exit()

# ==============================
#  STEP 2: IMPORT NOTEBOOK TO DESTINATION
# ==============================

# Encode content in Base64 for importing
encoded_content = base64.b64encode(notebook_content.encode()).decode()

import_url = f"{DEST_DATABRICKS_HOST}/api/2.0/workspace/import"
headers = {"Authorization": f"Bearer {DEST_TOKEN}"}
data = {
    "path": DEST_NOTEBOOK_PATH,
    "format": "SOURCE",
    "content": encoded_content,
    "language": "PYTHON",
}

print(f"Sending request to import notebook to: {DEST_NOTEBOOK_PATH}")

response = requests.post(import_url, headers=headers, json=data)

if response.status_code == 200:
    print("\nNotebook imported successfully to the destination workspace!")
else:
    print(f"\nFailed to import: {response.status_code} - {response.text}")

 By the way you dont have to run it in a notebook, can run locally.

I tested and works 🙂

Isi