Connect CSV and JSON integrations
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Build your CSV and JSON integrations.
Integrate CSV as a trigger and JSON as an action with Make to optimize data management. Use CSV to initiate workflows by importing datasets, and convert this data into JSON format for web applications and other dynamic uses. This integration reduces manual input, improves efficiency, and transforms static CSV data into versatile JSON structures, optimizing workflow automation without coding.
Merges selected text items and returns them in the CSV format.
Merges selected text items and returns them in the CSV format. Employs Data structure to define CSV columns in the resulting CSV file.
Parses a CSV file.
Transforms any object to JSON.
Connect any app with CSV and JSON
Popular CSV and JSON workflows.
Explore popular CSV and JSON integrations for data transformation and workflow automation. Improve data consistency and increase processing speeds today!
Transforming the payment settlement reports from Apaleo
Reconciling and booking the settlement reports in your financial accounting system can be painful. This template allows reading and merging the settlement files from Apaleo Pay into one and converting them to an accounting-friendly format.
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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 ->Streamline YouTube uploads with AI-generated descriptions and tags from Google Drive
Easily upload YouTube videos and shorts using AI-generated descriptions and tags sourced directly from Google Drive to boost your video rankings and simplify content management. Ensure shorts are in 9:16 aspect ratio and less than 60 seconds. Video file size limitations on Make plans: Free: 5 MB Core: 100 MB Pro: 250 MB Teams: 500 MB Enterprise: 1000 MB
TRY IT ->Create a JSON response from Google Sheets data using a custom webhook
Automatically convert Google Sheets data into JSON format using a custom webhook. Filter rows, create JSON, and respond via webhook effortlessly.
TRY IT ->Send advanced messages to ChatGPT and respond via webhook
Automatically send advanced messages to ChatGPT and respond via webhook. Integrate Custom WebHook, ChatGPT, JSON, and Webhook Respond for dynamic communication.
TRY IT ->Send automated replies to messages using Line and JSON parsing
Automatically respond to incoming Line messages by parsing JSON data and sending replies. Streamline communication with this automated messaging workflow.
TRY IT ->Send data to a custom webhook and set variables using JSON in Make
Automatically send data to a custom webhook, set variables, create JSON, and send data using HTTP in Make for streamlined data management.
TRY IT ->Send data to Google Sheets after parsing JSON from an action event
Automatically parse JSON from action events and send data to Google Sheets. Streamline data management with HTTP, JSON, and Google Sheets integration.
TRY IT ->
How to setup CSV and JSON in 5 easy steps
Locate your CSV data link
Find the specific link associated with your data within your CSV application for connection purposes.
Save your access key
Grab a copy of your API key from your CSV application's Business Info section.
Initiate a connection in Make
Open the EasyCSV module in Make to start forming a connection between your applications.
Input CSV details
In Make, input the CSV Webhook URL and API key you obtained earlier to establish the connection.
Set up a JSON listener
Create a JSON Listener in Make, which will receive data from your JSON feed for processing.
Data efficiency: integrate CSV and JSON for automation
Use the Make platform to automate workflows, transform data, and increase processing speed by integrating CSV and JSON. Improve data consistency and manage data effectively.
Convert CSV data to JSON format for streamlined data management.
Automate complex data parsing and transformation tasks within a single workflow.
Ensure consistency in data formatting and structure when moving between CSV and JSON.
Accelerate data processing by automating CSV parsing and JSON creation.
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