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.
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!
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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 ->[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 ->Create and manage Notion pages with data from Inoreader and ChatGPT
Automatically create and manage Notion pages using data from Inoreader articles and ChatGPT insights, streamlining your content organization process.
TRY IT ->Send data to Google Sheets after processing HTML with ChatGPT
Automatically process HTML data with OpenAI GPT-3, convert it to text, and send parsed information to Google Sheets for streamlined data management.
TRY IT ->Automate record updates in Airtable using ChatGPT from webhook data
Streamline Airtable record updates by integrating ChatGPT for advanced data processing. Automate workflows with Custom WebHook, JSON parsing, and record updates.
TRY IT ->Monitor Google Drive folder for new files and analyze images with ChatGPT, then add results to Google Sheets
Monitor a Google Drive folder for new files, analyze images with ChatGPT, and log results in Google Sheets for streamlined data management.
TRY IT ->Extract data from PhantomBuster, parse it with JSON, generate content with OpenAI, and create a document in Google Docs
This template will extract data from PhantomBuster, parse it with JSON, generate content using ChatGPT, and create a Google Docs document for streamlined content creation.
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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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