Intermediate
Introduction to Automating Smartsheet Workflows
Smartsheet is a powerful project management and collaboration tool that stores crucial data about tasks, timelines, and team progress. But manually accessing, reading, and updating this data through the web interface becomes tedious when you’re working with large projects or need real-time synchronization with other systems. Automating these workflows with Python 3 unlocks tremendous potential—imagine automatically pulling project data, analyzing it, and pushing updates back to your team’s source of truth without touching a single cell in the UI.
The good news is that Smartsheet provides an official Python SDK that handles all the complexity of API authentication and data serialization. You don’t need to craft raw HTTP requests or parse JSON responses manually. With just a few lines of Python, you can read entire sheets, update specific rows, add new entries, manage attachments, and more. The SDK abstracts away the boilerplate so you can focus on your business logic.
In this tutorial, we’ll walk through everything you need to know: setting up your API token, reading sheet data, updating rows, adding new entries, handling attachments and comments, and building error-resilient scripts that respect API rate limits. By the end, you’ll have the skills to integrate Smartsheet directly into your Python automation pipelines.
Quick Example: Read All Rows in 10 Lines
Here’s what reading an entire Smartsheet sheet looks like with the Python SDK:
# read_smartsheet_quick.py
import smartsheet
smartsheet_client = smartsheet.Smartsheet('YOUR_API_TOKEN')
response = smartsheet_client.Sheets.get_sheet('YOUR_SHEET_ID')
sheet = response.data
for row in sheet.rows:
print(f"Row ID: {row.id}")
for cell in row.cells:
print(f" {cell.value}")
Output:
Row ID: 123456789
John Doe
In Progress
2024-03-20
Row ID: 987654321
Jane Smith
Completed
2024-03-15
That’s it. With authentication set up, you’re accessing Smartsheet data in minutes. Let’s dive deeper into how to make this work reliably in production environments.
What is the Smartsheet API?
Smartsheet provides two main ways to interact with your sheets programmatically: the official Python SDK and the REST API directly. The Python SDK wraps the REST API, adding convenience methods and type hints. For most use cases, the SDK is the better choice because it handles serialization, error responses, and pagination automatically.
Here’s a quick comparison:
| Feature | Smartsheet Python SDK | REST API (Direct) |
|---|---|---|
| Authentication | Automatic bearer token handling | Manual header setup required |
| Response parsing | Python objects with attributes | Raw JSON dictionaries |
| Error handling | Structured exceptions | HTTP status codes to parse |
| Pagination | Built-in automatic pagination | Manual page token management |
| Type hints | Yes (modern versions) | No |
The REST API is useful if you’re building in a language without an SDK or need direct control over specific parameters. But for Python 3 development, the SDK is the clear winner.
Setting Up Your Smartsheet API Token
Every API interaction requires authentication via a personal access token. Here’s how to create one:
Step 1: Log into Smartsheet — Navigate to smartsheet.com and sign into your account.
Step 2: Open Account Settings — Click your profile icon in the top right corner and select “Profile Settings” or “Account Settings” depending on your version.
Step 3: Find API Access — Look for a section labeled “API Access” or “Developer Tools” in the left sidebar. (In the web interface, this is typically under “Admin” or “Personal Settings.”)
Step 4: Generate a Token — Click “Generate New Token” or “Create Token.” Give it a descriptive name like “Python Automation” and click “Generate.” Copy the token immediately—Smartsheet only displays it once.
Step 5: Store Securely — Never hardcode your token in source files. Use environment variables instead:
# setup_environment.sh
export SMARTSHEET_API_TOKEN="YOUR_GENERATED_TOKEN_HERE"
Then load it in Python:
# load_token.py
import os
from dotenv import load_dotenv
load_dotenv() # Load from .env file in project root
token = os.getenv('SMARTSHEET_API_TOKEN')
Install the required library with pip:
pip install smartsheet-python-sdk python-dotenv
Reading Sheet Data
Once authenticated, reading data is straightforward. The SDK provides methods for listing sheets, retrieving specific sheets, accessing rows, and filtering columns.
List All Sheets in Your Workspace
# list_sheets.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
try:
response = smartsheet_client.Sheets.list_sheets(include_all=True)
for sheet in response.data:
print(f"Sheet: {sheet.name} (ID: {sheet.id})")
except smartsheet.exceptions.ApiError as e:
print(f"Error listing sheets: {e}")
Output:
Sheet: Q1 Project Tracker (ID: 1234567890123456)
Sheet: Budget Planning (ID: 9876543210987654)
Sheet: Team Availability (ID: 5555555555555555)
Get a Specific Sheet with All Rows
# get_sheet_data.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456' # Replace with your sheet ID
try:
response = smartsheet_client.Sheets.get_sheet(sheet_id)
sheet = response.data
print(f"Sheet: {sheet.name}\n")
print("Columns:")
for column in sheet.columns:
print(f" {column.title} (Type: {column.type})")
print("\nRows:")
for row in sheet.rows:
print(f"Row {row.id}:")
for cell in row.cells:
print(f" {cell.value}")
except smartsheet.exceptions.ApiError as e:
print(f"Error: {e}")
Access Specific Column Values by Name
# get_column_values.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456'
response = smartsheet_client.Sheets.get_sheet(sheet_id)
sheet = response.data
# Build a column name to index mapping
column_map = {col.title: col.id for col in sheet.columns}
# Extract values from the "Status" column
status_col_id = column_map.get('Status')
if status_col_id:
for row in sheet.rows:
for cell in row.cells:
if cell.column_id == status_col_id:
print(f"Row {row.id}: Status = {cell.value}")
Updating Rows in a Sheet
Modifying existing rows requires specifying the row ID and the cells you want to update. The SDK handles formatting and validation.
Update a Single Cell
# update_single_cell.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456'
row_id = 123456789 # Row ID from your sheet
column_id = 456789 # Column ID (numeric ID of the column)
try:
# Create a cell with new value
new_cell = smartsheet.models.Cell()
new_cell.column_id = column_id
new_cell.value = "In Progress"
# Wrap in a row object
new_row = smartsheet.models.Row()
new_row.id = row_id
new_row.cells = [new_cell]
# Update the sheet
response = smartsheet_client.Sheets.update_rows(sheet_id, [new_row])
print(f"Updated row {row_id}: {response}")
except smartsheet.exceptions.ApiError as e:
print(f"Error updating row: {e}")
Update Multiple Cells in One Row
# update_multiple_cells.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456'
row_id = 123456789
try:
row = smartsheet.models.Row()
row.id = row_id
# Add multiple cells to update
cells = []
cell1 = smartsheet.models.Cell()
cell1.column_id = 456789 # Task name column
cell1.value = "Updated Task"
cells.append(cell1)
cell2 = smartsheet.models.Cell()
cell2.column_id = 789456 # Status column
cell2.value = "Completed"
cells.append(cell2)
cell3 = smartsheet.models.Cell()
cell3.column_id = 654321 # Due date column
cell3.value = "2024-03-25"
cells.append(cell3)
row.cells = cells
response = smartsheet_client.Sheets.update_rows(sheet_id, [row])
print("Row updated successfully")
except smartsheet.exceptions.ApiError as e:
print(f"Error: {e}")
Adding New Rows
Creating new rows allows you to append data directly from your Python scripts. You can add rows at the end of the sheet or insert them at a specific position.
Add a Row to the End of a Sheet
# add_new_row.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456'
try:
new_row = smartsheet.models.Row()
new_row.to_bottom = True # Add to the bottom
cells = []
cell1 = smartsheet.models.Cell()
cell1.column_id = 456789 # Task column
cell1.value = "New Integration Project"
cells.append(cell1)
cell2 = smartsheet.models.Cell()
cell2.column_id = 789456 # Status column
cell2.value = "Not Started"
cells.append(cell2)
cell3 = smartsheet.models.Cell()
cell3.column_id = 654321 # Due date column
cell3.value = "2024-04-15"
cells.append(cell3)
new_row.cells = cells
response = smartsheet_client.Sheets.add_rows(sheet_id, [new_row])
print(f"Row added successfully. New row ID: {response.data[0].id}")
except smartsheet.exceptions.ApiError as e:
print(f"Error adding row: {e}")
Add Multiple Rows at Once
# add_multiple_rows.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456'
rows_to_add = [
{
"Task": "Design Database Schema",
"Status": "Not Started",
"Due Date": "2024-04-01"
},
{
"Task": "Implement API Endpoints",
"Status": "Not Started",
"Due Date": "2024-04-15"
},
{
"Task": "Write Unit Tests",
"Status": "Not Started",
"Due Date": "2024-05-01"
}
]
try:
# First, fetch column IDs
sheet_response = smartsheet_client.Sheets.get_sheet(sheet_id)
sheet = sheet_response.data
column_map = {col.title: col.id for col in sheet.columns}
new_rows = []
for task_data in rows_to_add:
row = smartsheet.models.Row()
row.to_bottom = True
cells = []
for col_name, value in task_data.items():
cell = smartsheet.models.Cell()
cell.column_id = column_map[col_name]
cell.value = value
cells.append(cell)
row.cells = cells
new_rows.append(row)
response = smartsheet_client.Sheets.add_rows(sheet_id, new_rows)
print(f"Added {len(response.data)} rows successfully")
except smartsheet.exceptions.ApiError as e:
print(f"Error: {e}")
Working with Attachments and Comments
Smartsheet allows you to add attachments and comments to rows, enabling richer collaboration from your Python automation.
Add a Comment to a Row
# add_comment.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456'
row_id = 123456789
try:
comment = smartsheet.models.Comment()
comment.text = "This task has been automatically updated by the Python automation script."
response = smartsheet_client.Sheet_Comments.add_comment(sheet_id, row_id, comment)
print(f"Comment added successfully. Comment ID: {response.data.id}")
except smartsheet.exceptions.ApiError as e:
print(f"Error adding comment: {e}")
Attach a File to a Row
# add_attachment.py
import smartsheet
import os
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
sheet_id = '1234567890123456'
row_id = 123456789
file_path = '/path/to/report.pdf'
try:
response = smartsheet_client.Attachments.attach_file_to_row(
sheet_id,
row_id,
file_path
)
print(f"Attachment added successfully. Attachment ID: {response.data.id}")
except smartsheet.exceptions.ApiError as e:
print(f"Error attaching file: {e}")
Error Handling and Rate Limits
Production scripts must handle API errors gracefully and respect rate limits. Smartsheet allows 300 requests per minute per user. Here’s a robust pattern:
# robust_smartsheet_handler.py
import smartsheet
import os
import time
from datetime import datetime
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
class SmartsheetHandler:
def __init__(self, token):
self.client = smartsheet.Smartsheet(token)
self.request_count = 0
self.rate_limit_reset = None
def get_sheet_with_retry(self, sheet_id, max_retries=3):
"""Fetch a sheet with exponential backoff on rate limit errors."""
for attempt in range(max_retries):
try:
response = self.client.Sheets.get_sheet(sheet_id)
return response.data
except smartsheet.exceptions.ApiError as e:
if e.status_code == 429: # Rate limit exceeded
wait_time = 2 ** attempt # Exponential backoff
print(f"Rate limited. Waiting {wait_time} seconds...")
time.sleep(wait_time)
elif e.status_code == 401: # Unauthorized
print("Error: Invalid API token. Check your credentials.")
raise
elif e.status_code == 404: # Not found
print(f"Error: Sheet {sheet_id} not found.")
raise
else:
print(f"API Error (attempt {attempt + 1}): {e}")
if attempt == max_retries - 1:
raise
time.sleep(2 ** attempt)
raise Exception(f"Failed to fetch sheet after {max_retries} attempts")
def update_rows_safely(self, sheet_id, rows, max_retries=3):
"""Update rows with error handling."""
for attempt in range(max_retries):
try:
response = self.client.Sheets.update_rows(sheet_id, rows)
print(f"Successfully updated {len(rows)} rows")
return response
except smartsheet.exceptions.ApiError as e:
if e.status_code == 429:
wait_time = 2 ** attempt
print(f"Rate limited. Waiting {wait_time} seconds...")
time.sleep(wait_time)
else:
print(f"Error updating rows: {e}")
raise
# Usage
handler = SmartsheetHandler(token)
try:
sheet = handler.get_sheet_with_retry('1234567890123456')
print(f"Loaded sheet: {sheet.name}")
except Exception as e:
print(f"Failed to load sheet: {e}")
Real-Life Example: Automated Overdue Task Detection
Let’s build a complete script that reads a project tracker sheet, identifies overdue tasks, and updates their status automatically. This demonstrates reading, updating, and error handling in one workflow:
# project_tracker_updater.py
import smartsheet
import os
from datetime import datetime
from dotenv import load_dotenv
load_dotenv()
token = os.getenv('SMARTSHEET_API_TOKEN')
smartsheet_client = smartsheet.Smartsheet(token)
SHEET_ID = '1234567890123456' # Replace with your project tracker sheet ID
def find_column_id(sheet, column_name):
"""Find column ID by name."""
for col in sheet.columns:
if col.title == column_name:
return col.id
raise ValueError(f"Column '{column_name}' not found")
def mark_overdue_tasks():
"""Read all rows, check due dates, and mark overdue tasks."""
try:
# Fetch the sheet
response = smartsheet_client.Sheets.get_sheet(SHEET_ID)
sheet = response.data
# Find relevant column IDs
due_date_col = find_column_id(sheet, "Due Date")
status_col = find_column_id(sheet, "Status")
task_name_col = find_column_id(sheet, "Task Name")
today = datetime.now().date()
rows_to_update = []
# Iterate through all rows
for row in sheet.rows:
task_name = None
due_date_str = None
current_status = None
# Extract cell values
for cell in row.cells:
if cell.column_id == task_name_col:
task_name = cell.value
elif cell.column_id == due_date_col:
due_date_str = cell.value
elif cell.column_id == status_col:
current_status = cell.value
# Check if task is overdue
if due_date_str and current_status != "Completed":
try:
due_date = datetime.strptime(due_date_str, "%Y-%m-%d").date()
if due_date < today:
print(f"Found overdue task: {task_name} (due {due_date_str})")
# Create update row
update_row = smartsheet.models.Row()
update_row.id = row.id
status_cell = smartsheet.models.Cell()
status_cell.column_id = status_col
status_cell.value = "Overdue"
update_row.cells = [status_cell]
rows_to_update.append(update_row)
except ValueError:
print(f"Warning: Invalid date format in row {row.id}")
# Update all overdue rows at once
if rows_to_update:
print(f"\nUpdating {len(rows_to_update)} overdue tasks...")
smartsheet_client.Sheets.update_rows(SHEET_ID, rows_to_update)
print("Update completed successfully")
else:
print("No overdue tasks found")
except smartsheet.exceptions.ApiError as e:
print(f"API Error: {e}")
except Exception as e:
print(f"Unexpected error: {e}")
if __name__ == "__main__":
mark_overdue_tasks()
Output:
Found overdue task: Q1 Research Phase (due 2024-02-28)
Found overdue task: Stakeholder Review (due 2024-03-10)
Updating 2 overdue tasks...
Update completed successfully
Frequently Asked Questions
Q: How do I find my sheet ID?
A: Open your sheet in Smartsheet and look at the URL bar. The sheet ID is a long numeric string in the URL, typically after `/sheets/`. Alternatively, list all sheets with `smartsheet_client.Sheets.list_sheets()` to see their IDs.
Q: How do I find column IDs for updating cells?
A: Fetch the sheet with `get_sheet()` and iterate through `sheet.columns`. Each column has an `id` attribute. Build a dictionary mapping column titles to IDs for easy reference in your update logic.
Q: What's the difference between `to_bottom` and `to_top`?
A: Use `to_bottom = True` to add rows at the end of the sheet and `to_top = True` to insert at the top. These are mutually exclusive. If neither is set, you can specify an optional `parent_id` to add rows under a specific parent row.
Q: How do I handle API rate limits in production?
A: Implement exponential backoff retry logic for HTTP 429 responses. Wait 1 second, then 2, then 4, etc., before retrying. The example in the "Error Handling and Rate Limits" section demonstrates this pattern.
Q: Can I delete rows with the Python SDK?
A: Yes. Use `smartsheet_client.Sheets.delete_rows(sheet_id, row_ids)` where `row_ids` is a list of row IDs. Be cautious—deletions are permanent.
Q: What if I need to access nested data or formulas?
A: The SDK returns formula results by default. To access the formula itself, include `include_formula=True` in your `get_sheet()` call. For complex dependencies, consider fetching the sheet multiple times or processing results in Python after retrieval.
Conclusion
You now have everything needed to read, update, and automate Smartsheet workflows with Python. The SDK handles authentication, serialization, and error responses, letting you focus on building business logic. Start small with reading sheets and listing data, then progress to updates and insertions as you gain confidence. Always respect rate limits, store tokens securely, and implement robust error handling for production systems.
For detailed API documentation and advanced features, visit the official Smartsheet API documentation.