How to Connect Polygon.io to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Polygon.io

You have an Excel workbook full of tickers — a portfolio tracker, a comps table, a macro research file — and you need market data, technical indicators, or filing details to flow in reliably from Polygon.io. The API has everything: historical bars, options chains, forex rates, crypto OHLCV, SEC filing data, IPO calendars. But that data doesn't arrive formatted and labeled in the right columns on its own. The usual path is to export via API, wrestle the JSON into a CSV, import it into Excel, realign the headers, and repeat the whole sequence next week.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Export and Import

More common in Excel workflows than in Google Sheets: you run the Polygon.io API call from a terminal or a browser tool, export to CSV or JSON, import into Excel via Data > From Text/CSV, and then spend 15 minutes mapping the right columns into the right worksheet. For a one-time pull this is survivable. For anything that runs weekly — a portfolio review, a sector snapshot, a macro data refresh — the import-and-remap cycle starts eating hours you were supposed to spend on analysis.

And because Excel doesn't auto-sync with an external API endpoint, the data ages the moment you finish the import. By Friday's close, Monday's pull is already stale.

Method 2: Power Automate

Power Automate can connect to Polygon.io endpoints via HTTP actions. You configure a scheduled flow, set the endpoint URL, pass your API key via headers, call the endpoint, parse the JSON response, and write the extracted fields into your Excel workbook via the Excel Online connector.

Before going further — are you comfortable writing HTTP request headers, parsing nested JSON with Power Automate's expression syntax, and debugging the difference between a 429 rate-limit response and a schema change? If that sounds like a second job, jump to Method 3 or 4.

For those who are: the flow works. The scheduling is flexible. The API key auth is straightforward. The problem is the assembly labor.

Every field you want in your workbook needs to be mapped explicitly. If Polygon.io returns 40 fields and you want 8, you write 8 expressions. If the response structure changes — and financial data APIs do update their schemas — your expressions break silently and your workbook fills with nulls.

You probably just need last week's OHLC bars and you probably have no real idea how to write a Power Automate JSON parse expression — and that's a reasonable position for someone whose job is financial analysis, not workflow automation. So you either spend the afternoon learning it or you hand it to IT, and now you're in a ticket queue.

And once you need to pull data for 30 tickers, aggregate by sector, and join against a cost basis column, you've exceeded what Power Automate handles cleanly in a single flow.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option was a category of Excel add-ins that let you configure API endpoint templates. You set the URL, mapped JSON response fields to worksheet columns, saved the config, and ran it on demand.

That was a meaningful step up. Consistent output, saved configurations, something your team could reuse across sessions.

But the thinking was still yours. Which endpoint? Which fields? Which worksheet? What filter? What date range? The add-in moved the data; you built the template. And the moment your workbook structure changed — a column rename, a new sheet tab, a reordered portfolio — the saved config stopped working until someone repaired it.

That was the previous generation. Useful, but it asked a lot of the person running it.

The Easy Way: Using SheetXAI in Excel

There is a fundamentally different approach. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook — your ticker list in column A, your date range in a named cell, your filter criteria wherever you've put them — and through its built-in Polygon.io integration it can fetch and write exactly what you need without any template configuration.

Example 1: Fetch daily OHLC for every ticker in the workbook

For each ticker in column A, fetch the daily OHLC data from Polygon.io for the last 180 days and write the results into a new worksheet tab named after each ticker, with columns for date, open, high, low, close, and volume.

Each ticker lands in its own worksheet, labeled and ordered. Missing sessions — holidays, trading halts — are flagged rather than silently skipped.

Example 2: Pull RSI and flag overbought or oversold conditions

For each ticker in column A, fetch the current 14-day RSI from Polygon.io and write the value into column B. Highlight any ticker with RSI below 30 in green and above 70 in red.

The formatting and the data pull happen in a single instruction. You don't have to conditionally format after the fact — you describe the end state and SheetXAI produces it.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a ticker list in column A, then ask it to pull OHLC data, technical indicators, or SEC filing details from Polygon.io. The Polygon.io integration is included in every SheetXAI plan.