Crypto prices in Google Sheets: write a fetcher or use an add-on?

There are two common ways to bring crypto prices into Google Sheets: build a fetcher around an API, or install a market-data add-on. Neither is automatically better. The right choice depends on how much control the workbook needs and who will maintain the connection when a feed, quota or sheet changes.

For a one-off price cell, a custom solution can look deceptively simple. For a portfolio workbook that refreshes regularly, the real work is not the formula. It is getting reliable data into the sheet without turning every update into a maintenance task.

Start with the simplest workable path

Google Sheets’ IMPORTDATA function can be enough if a provider offers a CSV endpoint that returns the exact data the sheet needs. It avoids writing code, but it depends on that endpoint’s format and access rules. Many market-data APIs return structured data that needs more handling, may require authentication, or impose usage limits. In those cases, IMPORTDATA is not a plug-and-play substitute for an API integration.

A custom Apps Script fetcher gives the builder more control over what gets requested and how the result is arranged. That control has a cost: someone needs to write and test the code, manage credentials where required, handle failed responses, and revisit the script when the provider changes its interface. Google Apps Script and the data provider also have their own usage limits. A script can make those constraints more visible; it cannot remove them.

Where custom code pays off

Custom code makes sense when the workbook needs a source-specific field, a particular data-cleaning rule, or a refresh workflow that an add-on does not support. It can also be a reasonable fit when a team already maintains Apps Script and wants to keep the data path under its own control.

But custom is not the same as more dependable. A script that only one person understands can become a fragile dependency. Before building, decide who will own the API credentials, monitor failures, update the code and explain the process to the next spreadsheet owner. If those answers are unclear, a small amount of code may create more operational friction than it removes.

What a dedicated add-on changes

A Google Workspace add-on packages the connection and spreadsheet interface for a defined use case. CryptoTrackPro, for example, provides a Google Sheets formula, =cryptotrackpro("BTC-USD"), for live crypto prices without requiring an API key. It also supports tokenized stocks, ETFs and gold, and offers a free pre-built portfolio spreadsheet. Its crypto prices are sourced from CoinMarketCap, covering more than 10,000 cryptocurrencies.

The trade-off is that the user works within the add-on’s coverage, refresh behavior and plan limits rather than shaping every part of the integration. CryptoTrackPro’s free plan includes 50 price refreshes per day. Base costs $3.99 per month and includes 500 per day with 30-minute auto-refresh; Pro costs $11.99 per month, with unlimited refreshes and five-minute auto-refresh. Timed refresh requires the sidebar to stay open. First-time users get a 30-day Base trial without a credit card.

Those details matter more than a feature checklist. A sheet used for occasional portfolio checks may not need frequent updates. A larger workbook or a workflow with repeated refreshes needs to be tested against the plan’s allowance and timing. Avoid assuming that a refresh allowance maps neatly to the number of visible rows: check the product’s definitions and try the real workbook before depending on it. For more on matching update cadence to a spreadsheet workflow, see how to choose a crypto spreadsheet refresh rate.

Stability is a workbook question, too

Both approaches can run into trouble if the sheet asks for more than the data path can supply. Repeated requests, large ranges, provider throttling, temporary outages and changes to response formats can all produce missing or stale values. In a custom fetcher, the builder must decide how errors are surfaced and how often to retry. With an add-on, the user should understand its refresh controls and limits before relying on the numbers.

Keep the live-price layer separate from calculations that do not need a fresh quote. Avoid refreshing every historical or derived value just because one current price changed. Test the workbook after reopening it and during the kind of update cycle it will actually use. Stability comes from limiting unnecessary work and having a clear response to missing data, not from choosing code or an add-on by itself.

Choose by maintenance burden

Choose a custom Apps Script fetcher when you need a specific API behavior, can own the code and are prepared to manage provider access and quotas. Choose IMPORTDATA only when the source’s CSV output and access model fit the task. Choose a dedicated add-on when its supported assets and update schedule match the workbook, and you would rather not build and maintain the connection yourself.

For many individual portfolio sheets, writing a fetcher is unnecessary friction: it adds a second project alongside the spreadsheet. For a team with unusual requirements and an active code owner, that same flexibility can be worthwhile. Compare the whole cost—setup, limits, refresh behavior and future maintenance—not just the first working price cell.