Return value of Maatwebsite\Excel\Sheet::mapArraybleRow() must be of the type array, null returned

Stefan Bogdanescu

Founder & Senior Architect · 2026-06-29

Laravel Company

Decoding the Error: Fixing the mapArraybleRow Issue in Laravel Excel Exports

As senior developers working with data manipulation in the Laravel ecosystem, we often encounter frustrating runtime errors when using powerful packages like Maatwebsite\Excel. These errors usually stem from a mismatch between the data structure you are providing and what the underlying library expects for writing rows to an Excel file.

Today, we are diving into a very specific error encountered while exporting data: Return value of Maatwebsite\Excel\Sheet::mapArraybleRow() must be of the type array, null returned. This post will walk you through exactly why this happens in your scenario and provide the robust solution to ensure your Excel exports run smoothly.

The Scenario: Exporting Data with Laravel Excel

You have successfully set up a standard export workflow using maatwebsite/excel. You are attempting to export data from your students table, utilizing Eloquent queries within an export class (StudentExport).

Your setup involves:

  1. Defining a custom method on the model (Student::getCustom()) to fetch complex data.
  2. Creating an export class implementing FromCollection and defining the collection() method.
  3. Using this export class in your controller to trigger the download.

The error occurs when the Excel writer attempts to process the rows, specifically when invoking methods like mapArraybleRow(), which expects a simple PHP array for each row but receives an unexpected value (like null or a non-array object).

Root Cause Analysis: Why is mapArraybleRow() Failing?

The error message is highly specific. The mapArraybleRow() method within the Excel library is responsible for taking the data provided by your export class and mapping it directly into an Excel row format. It strictly requires its input to be a standard PHP array.

In your case, the failure almost certainly points to one of two issues:

  1. Returning null: If your custom method (Student::getCustom()) returns null under certain conditions (e.g., if no students are found or an unexpected database error occurs), the collect() method might handle this by returning a collection containing nulls, which the Excel writer cannot process as valid row data without throwing this fatal error.
  2. Incorrect Structure: Even if you return an array, if that array contains nested objects or non-array structures that aren't directly mappable to columns, the mapping function will fail.

When using FromCollection, the method you implement must consistently return a Illuminate\Support\Collection where each element is an array representing a row of data.

The Solution: Ensuring Pure Array Output

The fix lies in rigorously ensuring that the data returned by your export class is a clean, two-dimensional structure (a collection of arrays). We need to explicitly handle cases where data might be missing or null before passing it to the Excel layer.

Let's refine your StudentExport implementation to guarantee valid array output.

Refined Code Example

We will focus on ensuring that whatever is passed to the collection() method results in an array of arrays, even if the result set is empty.

use App\Member\Student;
use Maatwebsite\Excel\Concerns\FromCollection;
use Maatwebsite\Excel\Concerns\withHeadings;

class StudentExport implements FromCollection, withHeadings
{
    public function headings(): array
    {
        return [
            'Name',
            'Family Name',
            'National Code',
            'Mobile Number',
            'Province',
            'City',
            'Degree',
            'Grade',
            'Registered at',
        ];
    }

    /**
     * @return \Illuminate\Support\Collection
     */
    public function collection()
    {
        // 1. Fetch the raw data using your custom method
        $records = Student::getCustom();

        // 2. Ensure we are dealing with a Collection, even if $records is null or empty
        if (is_null($records)) {
            return collect([]); // Return an empty collection if no records exist
        }

        // 3. Map the results to ensure they are plain arrays for Excel compatibility
        return collect($records)->map(function ($record) {
            // Ensure all necessary fields are present and return a clean array
            return [
                $record->mbr_name,
                $record->mbr_family,
                $record->mbr_national_code,
                $record->mbr_mobile,
                $record->province,
                $record->city,
                $record->degree,
                $record->grade,
                $record->mbr_address, // Assuming this is 'Registered at'
            ];
        });
    }
}

Conclusion: Best Practices for Data Exporting

The error you faced is a classic example of type mismatch during data serialization. When working with libraries like those found on laravelcompany.com, the principle remains the same: always validate and sanitize the output before handing it to the file writer.

By explicitly checking for null results and using the map() function to transform your Eloquent model objects into simple, flat arrays, you ensure that every item passed to mapArraybleRow() conforms exactly to the expected array format. This approach makes your export logic resilient, predictable, and robust against missing data, solving the fatal error and ensuring a smooth user experience for your Excel exports.