7 lessons from syncing live football data into a no-code website

Marcus — Tue, 10 Nov 2026 09:41:22 +0000

I run Footgoal, a football site with fixtures, results, live scores, standings and top scorers for several of Europe's top leagues, plus a blog and a stadium and matchday guide.

The site is built on a no-code website builder. That's great for design, but it was never meant to hold thousands of match pages that change every weekend. Here are the lessons I learned connecting it to live football data.

1. Only write what changed

My first version rewrote every match on every run. It wasted API calls and hit rate limits fast. Now each run fetches the latest data, compares it with what's already stored, and only updates the items that are actually different. Fewer writes, faster runs, no rate-limit errors.

2. Don't trust "success" responses

Some bulk updates reported success but didn't actually save every item. The fix was to make every write safe to repeat and add a verification pass: re-read the data, find anything that still doesn't match, and write it again. Because the script only writes differences, running it twice costs almost nothing.

3. Use simple data you can rely on

I first used a dropdown-style field for match status (upcoming, live, finished), but through the API it didn't return plain text, so my comparisons kept failing. Switching to something simpler fixed it: a match in the future is upcoming, a match with a final score is finished. Boring logic is reliable logic.

4. Kickoff times change after you first save them

Early in the season, leagues publish fixtures before kickoff times are confirmed. My first sync saved placeholder times, and some matches showed the wrong date. Now I re-check only the next few rounds more often. It costs very little and keeps the dates right while they're still moving.

5. Check the sort, not just the data

The homepage "upcoming matches" box was showing games months away instead of the next round. The data was fine; the list was sorted and filtered the wrong way. Filtering to upcoming matches only and sorting by date fixed it.

6. "Published" doesn't always mean live

On my setup, one way of publishing only updated a preview version of the site, not the real domain, while still reporting success. Now I always confirm the live site actually changed before I consider an update done.

7. Keep live updates separate

Live scores need to update quickly, while full league updates take longer. Running them as two separate jobs means a slow update never delays a live score.

What I'd do differently

Store the data provider's IDs from day one. Matching teams by name breaks on spelling differences. IDs don't.
Build a preview mode first. My scripts show what they would change and only write when I confirm. That has saved me more than once.
Expect each new season to need cleanup. Promoted and relegated teams, changing kickoff times and renamed stadiums all need a pass.

The result

Footgoal now updates the Premier League and the other leagues automatically, with live scores during matches and very little manual work. The same approach powers the stadium guides.

If you're building something similar with a no-code tool and a sports data API, I'm happy to swap notes in the comments.

DEV Community: Marcus