How to Get API-Sports Data Into Google Sheets

The Problem with Getting API-Sports Data Into Google Sheets

API-Sports covers more than 2,000 competitions — football, basketball, Formula 1, MMA, tennis — with real-time fixtures, standings, player stats, head-to-head records, odds, and injury reports. The data is there. Getting it into a Google Sheet is the part that takes longer than it should.

The API itself requires you to pass the right league ID, season year, and query parameters. The response comes back as deeply nested JSON. You have to flatten that JSON, map the fields you care about into columns, handle pagination for large result sets, and repeat the whole process every time your fixture IDs change. For a one-off data pull that is a few hours of work. For a weekly fantasy scoring run across ten gameweeks, it is a recurring maintenance burden.

Below are the four ways analysts and developers typically pull API-Sports data into Google Sheets. Only the last one handles the analytical side of the work.

Method 1: Call the API Directly and Paste the Results

The default approach for anyone with a developer background. You write a small script or use a tool like Postman or Insomnia to hit the endpoint, read the JSON, copy the relevant fields, and paste them into the sheet.

When this works:

• You are comfortable reading nested JSON
• It is a one-off pull for a single league and season
• The result set is small enough to paste by hand

When it breaks:

• You need to pull data for dozens of fixture IDs at once
• The schema changes between API versions and your paste logic breaks
• Someone else on the team needs to repeat the pull and does not know the API
• The same data needs refreshing weekly across a season

The core issue is every pull is manual labor. There is no memory of which fields you pulled last time, no consistency across runs, and no connection between the raw JSON and the sheet structure you actually need. The first pull takes an hour. The fifteenth pull takes the same hour.

Method 2: Use Zapier or Make to Trigger API-Sports Calls From Sheet Events

The next step up is to wire an automation between the sheet and the API. When a new row appears with a fixture ID, Zapier or Make calls the API-Sports endpoint and writes the result back.

This works for event-driven moments:

• New fixture ID added → fetch that match result
• New team ID entered → pull season stats for that team
• New player ID added → fetch career history

This fails for analytical or batch work:

• Pulling standings across 20 teams at once
• Fetching all 380 fixtures for a league season in one run
• Merging top scorers and assist-makers from two endpoints into one table
• Recalculating fantasy points across all players from a full gameweek

Event-driven automations fire row by row. They do not aggregate, they do not merge two endpoints, and they do not handle the parameter mapping across a fifty-row fixture list in one shot. You also pay per task, and the cost adds up quickly once you are pulling stats for a full squad.

Method 3: The Previous Generation — Spreadsheet API Connector Add-Ons

Until recently, the best option for repeatable API-to-spreadsheet workflows was a category of connector add-ons that let you configure an endpoint, map response fields to columns, and schedule a refresh. You picked your endpoint, you set the parameters, you mapped the JSON path to each column, and you saved the configuration.

That was a real step up from copy and paste. Once you configured a fixture list pull, you could re-run it on demand and the output landed in the same columns every time.

But you were still responsible for everything the configuration could not handle: writing the JSON path expressions for nested fields, building a separate configuration for each endpoint you needed, merging data from two API calls into one table, and updating the configuration every time the league ID or season year changed. The connector got the data in, but the analytical thinking was still on you. And the moment you needed data from a second endpoint in the same query, you were back to manual work.

This is the category we think of as the previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you are building, and through its built-in API-Sports integration it can pull fixtures, standings, player stats, head-to-head records, odds, or injury reports and write them directly into the sheet. No JSON parsing, no endpoint configuration, no schema mapping, you just ask.

Example 1: Your Sheet Already Has the IDs

You have a Google Sheet with fixture IDs in column A and you want player stats from API-Sports for each one.

For each fixture ID in column A, fetch player statistics from API-Sports and write player name, team, goals, assists, yellow cards, and minutes played into columns B through G, one row per player.

SheetXAI calls the API-Sports fixtures/players endpoint for each ID, flattens the nested JSON, and writes every player stat row into the sheet. If a fixture has no player data yet because the match has not been played, it flags the row and moves on.

Example 2: You Want the Data and the Analysis in One Go

You do not have IDs yet. You want SheetXAI to fetch the data and then do something analytical with it.

Pull the top 20 scorers for La Liga season 2023 — player name, team, goals, assists — and put them in columns A through D. Then fetch the top 20 assist-makers for the same season and add them in columns F through I. Highlight players who appear in both lists.

SheetXAI fetches both endpoints, writes the two lists side by side, and applies conditional formatting to players appearing in both. One prompt, two API calls, one merged analytical table, without you touching the JSON.

Which Method Should You Use

For a single one-off pull where you know the exact endpoint and just need the raw data, calling the API directly and pasting it is fine. For event-driven workflows where a new row should always trigger a new fetch, Zapier or Make are a reasonable fit.

For anything that involves fetching across multiple fixture IDs, merging data from two endpoints, building analytical tables, or refreshing the same data weekly across a season, SheetXAI is the only option that handles the full stack — data pull, JSON parsing, column mapping, and analysis — in a single prompt.

Try It

Get the 7-day free trial of SheetXAI and ask it to pull fixture data or standings from API-Sports directly into a sheet you have open. The API-Sports integration is included in every SheetXAI plan.

For specific workflows, see how to pull a full season fixture list and standings, how to build a gameweek player stats table, or browse the full integrations directory.