Connect Google Sheets with Loop
Connect Google Sheets with Loop to scale and automate your operations.
Explore automation templates
Automate Google Sheets and Loop with Pluga integrations
Add each product from a Nuvemshop order as a separate row in Google Sheets.
Search your Google Sheets spreadsheet for overdue customers every week and send payment reminders via WhatsApp
For each won deal in RD Station CRM, calculate commissions and taxes using Code, then add the results to a Google Sheets spreadsheet
Didn't find the template you wanted? Build the integration your own way. ;)
Google Sheets and Loop
your way
Check out the available triggers and actions in the automation of apps Google Sheets + Loop
New added row
When a new row is added on Google Sheets
Line No.
For each row created/updated
For each row created or updated in Google Sheets
Nº da linha
Insert row in spreadsheet
add data to a new row on a Google Sheets spreadsheet
Columns
Insert/update row in spreadsheet
add or update data in Google Sheets spreadsheet's row(s)
Insert multiple rows in spreadsheet (only for multiple items)
add the data to multiple rows in a Google Sheets spreadsheet
Loop through a list
Loops through the items in a list and repeats the next actions for each one
- Turn each product in an order into its own row in a spreadsheet or task in your project management tool
- Loop through search results (tickets, leads, or orders) and trigger the next action for each item
- Process batches of data received through a webhook or API response
- Apply specific rules to each item by combining Loop with Formatter, Router, or HTTP Request
List Required
Search rows in a spreadsheet
Search rows in a spreadsheet in Google Sheets
Search Column Required
Condition
Search value
Additional filters
Result limit
No rows found?
Boost this flow in your workflow
With Pluga, you connect Google Sheets + Loop to build anything from the simplest integration to the most advanced flows, with several layers of logic.
- Basic 1
Pick the source app and the trigger
Choose which app starts the automation and which event works as the trigger. For example, "For each row created or updated in Google Sheets".
- Basic 2
Set the destinations and the actions
Select the apps that make up the flow with Loop and what Pluga should run automatically at each step. Example: "Loops through the items in a list and repeats the next actions for each one"
- Basic 3
Map the information
Point out, visually, which data from the source app should fill in each field of the destination action.
- Intermediate
Only move forward when it makes sense
Set "AND" or "OR" conditions so the automation only runs in the cases that matter
- Intermediate
Pause the flow for as long as you need
Set the automation to wait minutes, hours or days and resume the next action on its own
- Intermediate
Standardize data across apps
Adjust dates, numbers and characters to the format the next app expects to receive
- Advanced
Send data in several directions
Route each piece of data down the right path within a single flow, according to specific conditions
- Advanced
Add a code block
Run JavaScript or Python in the middle of the automation to transform data before the next step
- Advanced
Create loops
Take lists of items, go through each row and run the same action for every one of them
- Advanced
Use generative AI
Send data to an AI assistant or agent and use the response in the next step
- Advanced
Connect to (almost) any app
Send and receive data through a dedicated URL, and connect to apps that are not integrated with Pluga
- Advanced
Requests to external APIs
Query or send data to any external API inside your automation
Google Sheets
SpreadsheetConnect Google Sheets to 133+ apps with Pluga and turn your work into a productive machine. Centralize data from several apps in a single spreadsheet, keep your reports updated in real time and use the spreadsheet as a bridge between the apps you already work with.
Loop
PlugaConnect Loop to 133+ apps with Pluga and turn your work into a productive machine. Take full control of your flows: schedule execution, hold the flow for as long as you need, branch by condition and reshape the data along the way.