How to Connect EODHD APIs to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of EODHD APIs

You have an Excel workbook full of tickers, ISINs, country codes, or fund names. You need historical prices, live quotes, macro indicators, or fundamentals loaded into it — organized the way you actually want it — without rebuilding the process from scratch every time.

EODHD is good at supplying institutional-grade financial data across global equities, fixed income, forex, and macro indicators. But bridging that data into your workbook in a usable structure is where the work is. The default flow is to CSV-export from the EODHD dashboard, import into Excel, fix the column order, re-align dates, rename the sheet tab, and repeat that for every ticker on your list.

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

Method 1: CSV Export and Import

The default. Pull a CSV from EODHD for each ticker or indicator, import it into Excel, clean up the layout, and file it in the right sheet tab.

For one or two securities, this is manageable. For a 40-ticker watchlist, you are running 40 separate exports, 40 imports, fixing date misalignments across every sheet, and tracking down which tabs got stale last time someone forgot to re-run the export.

The grind is the multiplier. Every new ticker added to the list means another full export-import-cleanup cycle. Every date range change means starting over. None of that is the analysis — it is the scaffolding the analysis requires before it can begin.

Method 2: Power Automate

Power Automate can connect to EODHD as an HTTP action. You set up a scheduled flow, call the EODHD endpoint, parse the response, and write the values back into your Excel workbook via the Excel Online connector.

Before going further — are you comfortable building multi-step flows with HTTP actions, parsing nested JSON, and configuring dynamic range references in Excel Online? If those steps require a search, this is not the right path right now. Method 3 or 4 will serve you better.

For those who are still here: yes, the flow can work. You configure the schedule, set the HTTP action with your EODHD API key, parse the JSON array response, and map each field to the correct column.

But a flow that fires once per ticker is not the same as a bulk pull.

Running 40 tickers means 40 HTTP calls, 40 response-to-range writes, and a run history that becomes hard to follow when one ticker returns an unexpected field name and the rest of the flow silently continues with wrong data in two columns.

You probably just need the price history in the right workbook tabs. You probably have no idea how to paginate a JSON array through a Power Automate loop into a dynamic Excel range — and there's no reason you should. So it lands on whoever manages your automation layer, and now you're waiting on it.

And anything that requires joining across multiple ticker outputs — averages, cross-security comparisons, portfolio-level calculations — is outside what this kind of flow can do cleanly.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option was a category of add-ons and Power Query extensions that let you save EODHD endpoint configurations as reusable templates. You set the parameters, mapped the columns, and re-ran on demand.

That was a meaningful improvement over manual CSV imports. Configs were reusable. The output was consistent. You didn't reformat every time.

But you were still responsible for the endpoint logic, the field mapping, the tab-naming convention, and what happened when a field came back null. The tool got the data through — the structural decisions were still entirely yours. And if the sheet layout changed, the config needed manual repair before the next run.

That was the previous generation. It reduced repetition. It didn't reduce thinking.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you are looking at, and through its built-in EODHD APIs integration it can pull prices, fundamentals, macro data, and identifiers for you. No endpoint configuration, no field mapping, no per-ticker loop. You just ask.

Example 1: Pull historical prices for every ticker in the workbook

Fetch EOD price history for all 40 tickers in my Excel 'Backtest' sheet using EODHD and write each ticker's data into a new sheet tab named after the ticker.

SheetXAI iterates the list, calls EODHD per ticker, creates the worksheets, and writes aligned time series with consistent column headers — without a template or loop setup on your end.

Example 2: Fetch live quotes and calculate P&L inline

Pull live quotes for all 25 tickers in my Excel portfolio table using EODHD and add a 'Current Price' column and a 'Unrealized Gain/Loss' column next to each position.

The pattern: instead of fetching data and then doing the math as a separate step, you ask for both in one prompt. SheetXAI handles the request, the response, and the formula work together.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook containing tickers, ISINs, or country codes, then ask it to pull the data from EODHD. The EODHD APIs integration is included in every SheetXAI plan.