Laravel API resource paginate sub data
Stefan Bogdanescu
Founder & Senior Architect · 2026-06-29
# Mastering Pagination with Filtered Data in Laravel API Resources
As developers building robust APIs with Laravel, one of the most common requirements is handling large datasets efficiently. We frequently need to serve data to clients not just in full lists, but in specific subsets—filtered by criteria like author, status, or category—and then paginate those results. Understanding how to combine Eloquent filtering, pagination methods, and API Resources is crucial for building scalable and clean endpoints.
The scenario you've presented—how to paginate a subset of data (e.g., books by a specific author)—is a perfect real-world challenge. Let’s break down the developer-centric approach to solving this elegantly in Laravel.
## The Challenge: Filtering and Pagination Together
You correctly identified the standard way to paginate all records:
```php
return BookResource::collection(Book::paginate());
```
This works perfectly when you want every book available. The challenge arises when you introduce a `where` clause, which filters the dataset *before* pagination is applied.
If you simply filter and then call `get()`, you retrieve all matching records into memory first:
```php
$books = Book::where('author_id', 1)->get();
$paginatedBooks = $books->paginate(10); // This works, but can be inefficient for massive tables.
```
While this approach yields the correct result, in large-scale API development, we aim to let the database handle the heavy lifting (filtering and limiting) before sending data over the wire.
## The Solution: Paginating the Query Directly
The most performant and idiomatic way to handle filtered pagination is to apply the filtering method directly within your Eloquent query *before* calling the `paginate()` method. This ensures that the database executes the `WHERE` clause, applies `LIMIT`/`OFFSET`, and returns only the necessary subset of data.
Here is how you structure this logic when preparing data for an API endpoint:
### Step 1: Apply Filtering within the Query
Instead of fetching a full collection first, chain your constraints directly onto the base query before pagination.
```php
// Example: Fetching books written by author_id = 1, paginated results
$books = Book::where('author_id', 1)
->orderBy('title') // Good practice to order filtered results
->paginate(20); // Apply pagination directly to the query
// $books is now a LengthAwarePaginator instance containing only books by author 1, paginated.
```
### Step 2: Transforming Data with API Resources
Once you have this correctly paginated Eloquent object, you use the `collection()` method provided by Laravel's API Resources to transform the final result set into the desired JSON structure for the client. This keeps your controller clean and separates data transformation logic from business logic.
```php
// In your Controller method:
public function index(Request $request)
{
$authorId = $request->input('author_id', 1);
$books = Book::where('author_id', $authorId)
->orderBy('title')
->paginate(20);
// Return the paginated result wrapped in the Resource collection
return BookResource::collection($books);
}
```
### Best Practices and Performance Considerations
When dealing with complex queries, especially those involving relationships (e.g., books belonging to authors), consider leveraging Eloquent's advanced features. For instance, if your filtering involves another model, ensure you are using appropriate `JOIN`s or relationship constraints. As we discussed in the Laravel documentation, understanding how Eloquent builds these queries is key to optimizing performance.
Always remember that pagination should be applied as early as possible in the query chain to minimize memory usage and database load. This pattern ensures that your API remains fast and scalable. For more detailed insights into Eloquent relationships and query optimization, always refer back to the official resources at [https://laravelcompany.com](https://laravelcompany.com).
## Conclusion
By applying filtering constraints directly to the Eloquent query before invoking the `paginate()` method, you achieve a highly optimized and clean solution for API development. This approach ensures that your Laravel API endpoints are not only functional but also efficient, handling large datasets gracefully while providing exactly the subset of data requested by the client via your API Resources.