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.
TRY IT ->Parse JSON from HTTP request ( Basic )
Parse a JSON file from the output of HTTP module.
TRY IT ->[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 ->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 ->Upload CSV files to AWS S3 from Google Sheets content
Automatically upload Google Sheets data as CSV files to AWS S3, streamlining data management and storage across platforms with this Make template.
TRY IT ->Watch for Jotform submissions and send data via HTTP action
Automatically monitor Jotform submissions and send collected data via HTTP action. Streamline data transfer from Jotform to your desired endpoint effortlessly.
TRY IT ->Send aggregated JSON data via HTTP webhook
Automatically send aggregated JSON data via HTTP webhook using Custom WebHook, Aggregate To JSON, and HTTP modules for streamlined data integration and communication.
TRY IT ->Watch Google Sheets rows and send data via HTTP action
Automatically monitor Google Sheets for new rows and send the data as JSON via HTTP action, streamlining data integration and communication.
TRY IT ->Filter rows in Google Sheets and send data via HTTP request
Automatically filter rows in Google Sheets, convert data to JSON, and send it via HTTP request for streamlined data processing and 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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