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MonkeyLearn
Google Sheets

Connect MonkeyLearn and Google Sheets

Explore ready-made MonkeyLearn and Google Sheets templates and start automating in minutes.

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Create a custom workflow

Integrate MonkeyLearn with Google Sheets and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Google Sheets
Trigger: Perform a Function
MonkeyLearn
Action: Select an action
1. Select a trigger

  • Receives data from the MAKE_FUNCTION or INTEGROMAT functions used in a sheet. Please note, the Sheets Add-On is required.

  • Triggers when a cell is updated. Watches only changes made in Google Sheet app. Sheets Add-On required.

  • Triggers when a new row is added.

2. Select an action

  • Classifies the text with a given classifier.

  • Creates a new classifier.

  • Deletes a classifier.

  • Extracts information from the text with a given extractor.

  • Returns information about a classifier including its settings, stats, and tags.

  • Returns information about an extractor.

  • Performs an arbitrary authorized API call.

  • Updates a classifier name, description, and settings.

  • Uploads data to a classifier.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between MonkeyLearn and Google Sheets.

Add a Conditional Format Rule
Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.
Action
Add a Row
Appends a new row to the bottom of the table.
Action
Add a Sheet
Adds a new sheet.
Action
Bulk Add Rows (Advanced)
Appends multiple rows to the bottom of the table.
Action
Bulk Update Rows (Advanced)
Updates multiple rows.
Action
Classify Text
Classifies the text with a given classifier.
Action
Clear a Cell
Clears a specific cell.
Action
Clear a Row
Clears values from a specific row.
Action
Clear Values from a Range
Clears a specified range of values from a spreadsheet.
Action
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Popular MonkeyLearn and Google Sheets workflows

Connect MonkeyLearn and Google Sheets with Make. Automate manual tasks, sync real-time data, and build more efficient workflows.

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Scrap prices from any page with HTML/CSS, Cloud Vision and MonkeyLearn

This template helps you perform data mining on on a website at regular intervals. First, a screenshot of the url is taken via HTML/CSS. Then, the screenshot's text is recognized with Google Cloud Vision (OCR) and the price is automatically extracted with a MonkeyLearn machine learning model. Eventually, the result is stored in Google Sheets.

Scrap prices from any page with HTML/CSS, Cloud Vision and MonkeyLearn
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Analyze Google My Business reviews with MonkeyLearn and save it in Google Sheets

Every time a new review is added to your Google My Business location, Make will automatically analyze its sentiment (positive, neutral or negative) with a MonkeyLearn machine learning model. Then, the data is stored in Google Sheets. The template uses this example spreadsheet.

Analyze Google My Business reviews with MonkeyLearn and save it in Google Sheets
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Analyze Google Sheets data with MonkeyLearn sentiment analysis models

Every time a new customer review is added to your Google Sheets spreadsheet, Make will automatically analyze its sentiment (positive or negative) with a MonkeyLearn machine learning model. The template uses this example spreadsheet.

Analyze Google Sheets data with MonkeyLearn sentiment analysis models
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Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.