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Data Engineering & Conversion

Getting API Response Data Into a Spreadsheet Without Code

APIs return JSON. Stakeholders want Excel. Here's how to bridge that gap in minutes without writing a single line of code.

Key Takeaways
  • Copy the API JSON response, paste into a browser-based JSON to CSV converter, download, and open in Excel or Sheets.
  • Browser-based tools process data locally — your API response data doesn't leave your machine.
  • Nested JSON is auto-flattened to column headers using dot notation.
  • If you do this regularly, invest in a proper integration rather than repeating the manual process.

You've queried an API — maybe Stripe for payment data, Google Analytics for traffic numbers, Shopify for product inventory, or Airtable for a database export. The response comes back as a wall of JSON. Your manager wants a spreadsheet by Monday. If you don't know Python or JavaScript, the path from API response to Excel can feel impossibly wide.

It doesn't have to be. Here's the practical workflow.

Step 1: Copy the JSON Response

If you're using a tool like Postman, Insomnia, or a browser's developer console to call the API, the response appears as formatted JSON text. Select all of it and copy it to your clipboard. If the JSON is paginated (multiple pages of results), you may need to gather all pages first — most APIs return a next page URL or token that you follow until there are no more results.

If you're working with an API that outputs a downloadable file (many analytics and CRM exports do), download the JSON file directly.

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Step 2: Paste Into a JSON to CSV Converter

Open a browser-based JSON to CSV converter. Paste your JSON into the input field or upload the file. The tool will parse the structure and preview the flattened columns. If your JSON is nested (which API responses usually are), a good converter will auto-flatten it — turning nested keys like user.email into column headers.

Choose whether each nested array should expand to multiple rows or stay collapsed. For most reporting use cases, expanding to rows is what you want.

Step 3: Download the CSV

Click convert and download the CSV file. The conversion happens locally in your browser — the API data doesn't pass through any external server.

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Step 4: Open in Excel or Google Sheets

Open the CSV directly in Excel (File → Open, select the file). If you're using Google Sheets, go to File → Import → Upload. Both applications will parse the CSV into rows and columns automatically.

From there, you can sort, filter, pivot, and format exactly as you would any other spreadsheet data.

When to Build a Proper Integration

This manual workflow works well for occasional data pulls. If you're doing this daily, weekly, or for multiple data sources, it's worth investing in a proper integration — whether that's a no-code tool like Zapier or Make, a Google Sheets add-on with direct API connections, or a script that runs on a schedule.

Sohovi's free JSON to CSV converter handles nested API responses and converts them in your browser — no upload, no signup.

Frequently Asked Questions

How do I get JSON data into Excel without coding?

Copy the JSON, paste it into a browser-based JSON to CSV converter, download the CSV, and open it in Excel. The converter handles the structure parsing and column creation automatically.

How do I convert API JSON to a Google Sheet?

Convert the JSON to CSV using a browser tool, then go to Google Sheets → File → Import → Upload and select the CSV file. Sheets will parse it into columns automatically. For ongoing syncs, use a Google Sheets add-on that connects directly to the API.

What is the easiest way to turn JSON into a CSV?

For one-off conversions, a browser-based JSON to CSV tool is the easiest path — paste your JSON, click convert, download. For recurring conversions, a two-line Python script using pandas read_json() and to_csv() is the most maintainable solution.

Selva Santosh

Data quality, for people who ship

Selva writes practical guides on data quality, profiling, and governance to help teams ship better data.

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