Taming the Pagination Beast: How to Read Paginated APIs Without Losing Your Mind

June 13, 2026 (1mo ago)

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Taming the Pagination Beast: How to Read Paginated APIs Without Losing Your Mind

Because who needs all 20,000 records in memory at once, right?

Hey there! I'm Karan, and today I want to talk about something that's frustrated me more times than I can count: dealing with paginated APIs. You know the drill - you need to fetch all the records from an API, but it only returns 50 or 100 at a time. And let's be real, who has the memory to hold all 20,000 records at once? 🤯

The Problem with Paginated APIs

We've all been there - you need to sync data from an API to your database, export it to a file, or run a report. But the API only gives you a cursor or a page number, and you have to keep asking until there's nothing left. It's like trying to drink from a firehose, but the firehose is only giving you a tiny sip at a time. 🚿

The way most of us write it the first time looks like this:

async function getAllRecords() {
  const records = [];
  let pageNumber = 1;
  while (true) {
    const response = await fetch(`https://api.example.com/records?page=${pageNumber}`);
    const data = await response.json();
    records.push(...data);
    if (data.length < 50) {
      break;
    }
    pageNumber++;
  }
  return records;
}

But let's be real, this approach is flawed. You're holding all the records in memory at once, which can lead to performance issues and even crashes. And what if the API returns 10,000 pages of records? You'll be waiting a long time for that to finish. 🕰️

A Better Approach

So, how can we do this better? The key is to process the records as you fetch them, rather than holding them all in memory at once. This approach is called "streaming" or "processing in chunks". Here's an example of how you can do it:

async function processRecords() {
  let pageNumber = 1;
  while (true) {
    const response = await fetch(`https://api.example.com/records?page=${pageNumber}`);
    const data = await response.json();
    for (const record of data) {
      // Process the record here
      console.log(record);
    }
    if (data.length < 50) {
      break;
    }
    pageNumber++;
  }
}

In this example, we're processing each record as we fetch it, rather than holding them all in memory at once. This approach is much more efficient and scalable.

Why This Matters to Developers

  1. It saves you memory - by processing records in chunks, you're not holding everything in memory at once.
  2. It's more efficient - you're not wasting time waiting for all the records to be fetched before you can start processing them.
  3. It's more scalable - you can handle large datasets without running out of memory or crashing your app.

My Take

I've been guilty of using the flawed approach in the past, but once I switched to processing records in chunks, I never looked back. It's a game-changer, trust me. 🚀

Conclusion

So, the next time you're dealing with a paginated API, don't be tempted to hold all the records in memory at once. Instead, process them in chunks, and watch your app become more efficient and scalable. TL;DR: Process records in chunks, not all at once. Your memory (and your users) will thank you. 🙏 Source: DEV Community

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