Connect MonkeyLearn and Google Sheets integrations
Connect MonkeyLearn and Google Sheets with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like MonkeyLearn and Google Sheets to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
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.
Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.
Appends a new row to the bottom of the table.
Adds a new sheet.
Appends multiple rows to the bottom of the table.
Updates multiple rows.
Clears a specific cell.
Clears values from a specific row.
Clears a specified range of values from a spreadsheet.
Copies a sheet to another spreadsheet.
Creates a new spreadsheet.
Creates a new spreadsheet from a template sheet.
Deletes a conditional format rule at the given index. All subsequent rules' indexes are decremented.
Deletes a specific row.
Deletes a specific sheet.
Gets a specific cell.
Performs an arbitrary authorized API call.
Returns processed data as a result of the MAKE_FUNCTION or INTEGROMAT function. Sheets Add-On required.
Renames a specific sheet.
Updates a specific cell.
Updates a row.
Returns a sheet’s content defined by range values.
Gets a list of all sheets in a spreadsheet.
Returns results matching the given criteria.
Returns results matching the given criteria. This module doesn't return a row number.
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Build your MonkeyLearn and Google Sheets integrations.
Create custom MonkeyLearn and Google Sheets workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.
Appends a new row to the bottom of the table.
Adds a new sheet.
Appends multiple rows to the bottom of the table.
Updates multiple rows.
Classifies the text with a given classifier.
Clears a specified range of values from a spreadsheet.
Clears a specific cell.
Clears values from a specific row.
Popular MonkeyLearn and Google Sheets workflows.
Looking to get more out of MonkeyLearn and Google Sheets? With Make you can visually integrate MonkeyLearn and Google Sheets into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
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](https://docs.google.com/spreadsheets/d/1XrTB8RgnTKwfADfk-aGqVNO0ftZubsNKdrKnLVFMOWw/edit?usp=sharing).
TRY IT ->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.
TRY IT ->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](https://docs.google.com/spreadsheets/d/1rc2IDYW_LiILIeVCzcEypn3yQIVB9QanHSyqnelvnJw/edit?usp=sharing).
TRY IT ->Train your MonkeyLearn machine learning model with a Google Sheets dataset
This template shows how you can take advantage of Make to train your MonkeyLearn model easily. Every time a new row is added to your Google Sheets spreadsheet, Make will automatically upload the data to your MonkeyLearn classifier. The template uses this [example spreadsheet](https://docs.google.com/spreadsheets/d/1aXcWQZGIK8c1mNquxxlSa0qLjIIyD3ye4V_ArhxN44E/edit?usp=sharing).
TRY IT ->Generate ChatGPT Completions from Google Sheets Rows
Effortlessly enhance your content creation process by integrating ChatGPT with Google Sheets. This powerful template allows you to automatically generate relevant completions, ranging from SEO keywords to custom responses, boosting productivity and content quality with ease. [Learn more](https://community.make.com/t/getting-started-with-openai-gpt-3-and-make/7796?utm_source=make&utm_medium=in-app&utm_campaign=template)
TRY IT ->Add webhook data to a Google Sheet
Use this automation to instantly capture data from a webhook and automatically add it as a new row in a Google Sheet. This is ideal for real-time data logging, form submissions, or any event-driven updates that must be stored in a spreadsheet. [Learn more about webhooks!](https://www.make.com/en/help/tools/webhooks)
TRY IT ->Sync Facebook Lead Ads leads with Google Sheets
Seamlessly capture and organize new Facebook Lead Ads leads by automatically adding them to a Google Sheets spreadsheet. Streamline your lead management process and enhance productivity with this efficient automation solution.
TRY IT ->Send a Gmail email from a new Google Sheets row
Effortlessly send Gmail messages when a new row is added to your Google Sheets. Just ensure your spreadsheet includes these columns: - Email Address - Subject - Content
TRY IT ->Add new incoming emails to a Google Sheets spreadsheet as a new row
Every time you receive a new email, Make will automatically add selected data from the email to a new row in a Google Sheets spreadsheet.
TRY IT ->
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