Connect Google Sheets and HTTP integrations
Connect Google Sheets and HTTP with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Google Sheets and HTTP 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.
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Create custom Google Sheets and HTTP workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
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Popular Google Sheets and HTTP workflows.
Looking to get more out of Google Sheets and HTTP? With Make you can visually integrate Google Sheets and HTTP into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
[AI Tools 101] AI web scraping with Google Sheets
In this [AI Tools 101](https://www.youtube.com/watch?v=DCz7HCx6HnI&list=PLrED3I754LhmTtlldfGklaEMh-ZaCa3EK&index=9&ab_channel=Make) course template, learn how to scrape web content efficiently using AI and Google Sheets. Extract, structure, and save data seamlessly for enhanced information management and analysis.
TRY IT ->Filter rows in Google Sheets and send data via HTTP action
Automatically filter rows in Google Sheets and send the filtered data via HTTP action. Streamline data processing and integration with this template.
TRY IT ->Send data to Google Sheets from a HTTP request
Streamline your data management process by automatically sending data to Google Sheets whenever a specific action occurs. With this template, every time data is sent through an HTTP request, Make will seamlessly add a new row to your Google Sheets, ensuring that your information is organized and easily accessible. This integration is perfect for tracking responses, managing submissions, or logging events without manual effort.
TRY IT ->Optimize Google rankings with Browse AI and ChatGPT 1/2
Raise your Google keyword rankings using Browse AI's optimization strategies and improve your website's performance with ChatGPT's actionable suggestions. Ensure your robot fetches only 10 rankings for the scenario to work correctly. This template is the first of two in the series, providing a comprehensive approach to enhancing your SEO efforts. [Template 2/2.](https://we.make.com/templates/12142?organizationId=658333&templatePublicId=12142&_gl=1%2Au61e27%2A_gcl_au%2AMTA4NDQ5MjkxMi4xNzEyNjQxNjEy%2A_ga%2ANjI2MzQ4MzkzLjE3MTI2NDE2MTA.%2A_ga_MY0CJTCDSF%2AMTcyMDA3MjY5OS4zMDkuMS4xNzIwMDc0NTAzLjYwLjAuMA..)
TRY IT ->Send reminders for unpaid Stripe invoices to your customers and escalate for multiple defaults 1/2
When you customers are past due on the invoices, store them on a Google Sheet for recording keeping and send the a reminder email. If they have more than one unpaid invoice on the sheet, escalate this to management for their attention.
TRY IT ->Retrieve stock market data for the day and send it as a report on Slack
This automation searches your Google Sheet for the stock names/symbols that you require the market data for the day on and sends it as a report via Slack.
TRY IT ->Create tweet with a random image for new Google Sheets rows
Every time a new row is added to the Google Sheets spreadsheet, Make will automatically search for random photos on Unsplash and create a new tweet on Twitter with this photo.
TRY IT ->Export data from Facebook Insights (advanced) - PART 1 - receiving webhook
This scenario listens to the [other](https://www.Make.com/en/integration/4265-create-a-job-in-facebook-insights-advanced-part-2) scenario where the request for Facebook Insights report is requested. When a new webhook is received, Make checks the status of the report being created. If the report is ready, the data are sent to Google Sheets spreadsheet. Otherwise a new request for check of the status is sent with a delay. This scenario is intended for advanced reports which take more time to process and the "Get Insights" module is not sufficient.
TRY IT ->Run a label detection via Google Cloud Vision for new Uploadcare files
Every time a new file is uploaded to Uploadcare, Make will automatically perform a label detection for that file via Google Cloud Vision. Then, the label with the highest confidence score is stored in Google Sheets.
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