Extract and Export Qualtrics Load Responses Into Survey Task Field Mappings to CSV

The Load Responses Into Survey task in Qualtrics Workflows lets you map source data fields directly to destination survey question fields. When you have dozens of mappings across multiple environments like Dev and Prod, manually tracking which source field maps to which survey question becomes error-prone and time-consuming.

This free browser-based script extracts your complete field mapping configuration in seconds, exporting it as a clean CSV you can use for documentation, auditing, and environment comparison.

The Challenge

When working with the Load Responses Into Survey task in Qualtrics Workflows, you regularly need to:

Qualtrics provides no built-in export for task-level field mapping configurations. The only way to see them is to open each workflow task manually and scroll through the mapping table, which can have 20+ rows per task across multiple workflows.

The Solution

🚀 One Script, Instant Export

Run a single JavaScript snippet in your browser console while the Load Responses Into Survey task is open. The script reads every row of the data mapper table and exports it as a structured CSV with no API key, no installation, and no data ever leaving your browser.

The script uses stable data-testid attributes from the Qualtrics DOM, making it resilient to UI updates. It reads the selected source field and destination survey field from each row, skipping any empty placeholder rows automatically.

How to Use

1

Open the Workflow Task

In Qualtrics, navigate to Workflows and open the workflow containing your Load Responses Into Survey task. Click the task to open its configuration panel.

2

Open the Browser Console

Right-click anywhere on the mapping table and select Inspect or Inspect Element from the context menu. In the developer tools panel that opens, click the Console tab.

Why right-click on the table? This ensures the correct DOM elements are loaded in the inspector before the script runs, making extraction more reliable.
3

Paste and Run the Script

Download the script below, paste the full contents into the console, and press Enter. You'll see a confirmation banner listing the available export commands.

4

Export Your Data

Call one of these export commands in the console:

// Download as CSV file (with timestamp)
downloadLRISCSV()

// Copy CSV to clipboard
copyLRISCSV()

// View as JSON object
getLRISJSON()

// List all mappings in the console
listLRISRows()

The Script

Download the script file and paste its contents into the browser console while the Load Responses Into Survey task is open. The script is self-contained and requires no external dependencies.

Note: The script must be run while the Load Responses Into Survey task configuration panel is open and visible on screen. The field mapping table needs to be rendered in the DOM for extraction to work.
// ============================================================================
// QUALTRICS LOAD RESPONSES INTO SURVEY - AUTOMATION TOOLKIT
// Version: 1.0
// Task: "Load responses into survey" workflow task
// Developed by Pirai AI — piraiai.com
// ============================================================================

// ============================================================================
// UTILITY: RESILIENT SELECTORS
// ============================================================================

const LRIS_SELECTORS = {
    // Main grid container
    grid: [
        'div[role="grid"][aria-label="data-mapper-table"]',
        'div[data-testid="data-mapper-table-test-id"]'
    ],
    // Data rows only (skip the header row which has role="rowgroup" with _hjyK0 _DoXPg)
    rows: [
        'div[role="rowgroup"]:not(._DoXPg) div[role="row"]',
        'div[role="row"][data-testid^="data-mapper-table-test-id-row"]'
    ],
    // Source field button inside a row
    sourceButton: [
        'button[data-testid^="source-field-dropdown-"]',
        'div[data-testid^="data-mapper-table-test-id-cell"][data-testid*="sourceFieldColumn"] button[role="combobox"]'
    ],
    // Destination field button inside a row
    destButton: [
        'button[data-testid^="destination-field-selector-"]',
        'div[data-testid^="data-mapper-table-test-id-cell"][data-testid*="destinationFieldColumn"] button[role="combobox"]'
    ],
    // The visible label text inside a combobox button
    buttonLabel: ['span._PZnC8', 'span[class*="PZnC8"]'],
    // Add field button
    addFieldButton: [
        'button[data-testid="add-field-btn"]',
        'button._O2hNj._ZUle5'
    ],
    // Clear all button
    clearAllButton: [
        'button[data-testid="clear-field-mappings-btn"]'
    ],
    // More/ellipsis button per row for delete
    moreButton: [
        'button[aria-label="more"]',
        'button[aria-haspopup="listbox"]'
    ]
};

function lrisFind(parent, selectorArray) {
    for (const selector of selectorArray) {
        try {
            const el = parent.querySelector(selector);
            if (el) return el;
        } catch (e) { continue; }
    }
    return null;
}

function lrisFindAll(parent, selectorArray) {
    for (const selector of selectorArray) {
        try {
            const els = parent.querySelectorAll(selector);
            if (els.length > 0) return els;
        } catch (e) { continue; }
    }
    return [];
}

function lrisGetButtonText(btn) {
    if (!btn) return '';
    for (const selector of LRIS_SELECTORS.buttonLabel) {
        const span = btn.querySelector(selector);
        if (span) return span.textContent.trim();
    }
    return btn.textContent.trim();
}

function lrisGetGrid() {
    for (const selector of LRIS_SELECTORS.grid) {
        try {
            const el = document.querySelector(selector);
            if (el) return el;
        } catch (e) { continue; }
    }
    return null;
}

function lrisGetRows() {
    const grid = lrisGetGrid();
    if (!grid) {
        console.warn('⚠️ Data mapper grid not found');
        return [];
    }

    // Always get ALL rows from the data rowgroup (second rowgroup) — this captures
    // every row including duplicate source field rows and the first unnamed row
    const rowgroups = grid.querySelectorAll('div[role="rowgroup"]');
    if (rowgroups.length >= 2) {
        const allRows = Array.from(rowgroups[1].querySelectorAll('div[role="row"]'));
        if (allRows.length > 0) return allRows;
    }

    // Fallback: rows with data-testid (may miss the first row and duplicates)
    return Array.from(grid.querySelectorAll('div[role="row"][data-testid^="data-mapper-table-test-id-row"]'));
}

// ============================================================================
// EXTRACTION FUNCTIONS
// ============================================================================

function extractLRISMappings() {
    const mappings = [];
    const rows = lrisGetRows();

    if (rows.length === 0) {
        console.warn('⚠️ No mapping rows found — make sure you are on the Load Responses Into Survey task');
        return mappings;
    }

    rows.forEach((row, index) => {
        try {
            const sourceBtn = lrisFind(row, LRIS_SELECTORS.sourceButton);
            const destBtn   = lrisFind(row, LRIS_SELECTORS.destButton);

            const sourceField = lrisGetButtonText(sourceBtn);
            const destField   = lrisGetButtonText(destBtn);

            // Skip placeholder/empty rows
            if (!sourceField || sourceField === 'Select source field...') return;

            mappings.push({
                index: mappings.length + 1,
                sourceField,
                destinationSurveyField: destField
            });
        } catch (error) {
            console.warn(`Error processing row ${index}:`, error);
        }
    });

    return mappings;
}

function downloadLRISCSV() {
    const mappings = extractLRISMappings();

    if (mappings.length === 0) {
        console.error('❌ No mappings found to export');
        return;
    }

    const headers = ['Index', 'Source Field', 'Destination Survey Field'];
    const csvRows = [headers.map(h => `"${h}"`).join(',')];

    mappings.forEach(m => {
        csvRows.push([
            `"${m.index}"`,
            `"${m.sourceField.replace(/"/g, '""')}"`,
            `"${m.destinationSurveyField.replace(/"/g, '""')}"`
        ].join(','));
    });

    const csvContent = csvRows.join('\n');
    const blob = new Blob([csvContent], { type: 'text/csv;charset=utf-8;' });
    const link = document.createElement('a');
    const url = URL.createObjectURL(blob);
    const timestamp = new Date().toISOString().slice(0, 19).replace(/:/g, '-');

    link.setAttribute('href', url);
    link.setAttribute('download', `load_responses_mappings_${timestamp}.csv`);
    link.style.visibility = 'hidden';
    document.body.appendChild(link);
    link.click();
    document.body.removeChild(link);
    URL.revokeObjectURL(url);

    console.log(`✅ Downloaded CSV with ${mappings.length} field mappings`);
}

function copyLRISCSV() {
    const mappings = extractLRISMappings();

    if (mappings.length === 0) {
        console.error('❌ No mappings found to copy');
        return;
    }

    const headers = ['Index', 'Source Field', 'Destination Survey Field'];
    const csvRows = [headers.map(h => `"${h}"`).join(',')];

    mappings.forEach(m => {
        csvRows.push([
            `"${m.index}"`,
            `"${m.sourceField.replace(/"/g, '""')}"`,
            `"${m.destinationSurveyField.replace(/"/g, '""')}"`
        ].join(','));
    });

    navigator.clipboard.writeText(csvRows.join('\n')).then(() => {
        console.log(`✅ Copied ${mappings.length} field mappings to clipboard`);
    });
}

function getLRISJSON() {
    const mappings = extractLRISMappings();
    console.log(JSON.stringify(mappings, null, 2));
    return mappings;
}

function listLRISRows() {
    const rows = lrisGetRows();

    console.log(`\n╔════════════════════════════════════════════════════════╗`);
    console.log(`║  Current Mapping Rows: ${String(rows.length).padEnd(31)}║`);
    console.log(`╚════════════════════════════════════════════════════════╝\n`);

    if (rows.length === 0) {
        console.log('ℹ️ No rows found\n');
        return [];
    }

    const rowData = [];
    rows.forEach((row, index) => {
        const sourceBtn = lrisFind(row, LRIS_SELECTORS.sourceButton);
        const destBtn   = lrisFind(row, LRIS_SELECTORS.destButton);
        const source    = lrisGetButtonText(sourceBtn) || '(empty)';
        const dest      = lrisGetButtonText(destBtn)   || '(empty)';
        console.log(`[${index}] Source: ${source} → Destination: ${dest}`);
        rowData.push({ index, source, dest });
    });

    console.log('');
    return rowData;
}

// ============================================================================
// USAGE GUIDE
// ============================================================================

console.log(`
╔══════════════════════════════════════════════════════════════════╗
║  QUALTRICS LOAD RESPONSES INTO SURVEY TOOLKIT v1.0             ║
╠══════════════════════════════════════════════════════════════════╣
║                                                                  ║
║  📥 EXTRACT FUNCTIONS:                                           ║
║    downloadLRISCSV()   - Download mappings as CSV               ║
║    copyLRISCSV()       - Copy to clipboard                      ║
║    listLRISRows()      - View current rows in console           ║
║    getLRISJSON()       - View as JSON                           ║
║                                                                  ║
║  CSV columns: Index, Source Field, Destination Survey Field     ║
║                                                                  ║
╚══════════════════════════════════════════════════════════════════╝
`);                    
                

CSV Output Format

The exported CSV contains three columns, making it easy to import into Excel, Google Sheets, or any data tool for further analysis:

"Index","Source Field","Destination Survey Field" "1","DistributionChannel1","test_flag" "2","Q1","Overall Satisfaction" "3","DistributionChannel1","test" "4","Duration (in seconds)1","Click to write the question text - Click to write Statement 1" "5","StartDate","Start Date" "6","EndDate","End Date" "7","Status","Survey Response type (info found here)" "8","IPAddress","IP Address" "9","Progress","Progress (percentage)" "10","Finished","Finished (boolean for whether or not the survey is complete)" "11","RecordedDate","Recorded Date" "12","LocationLatitude","Latitude" "13","LocationLongitude","Longitude" "14","RecipientLastName","Recipient last name" "15","RecipientFirstName","Recipient first name" "16","RecipientEmail","Recipient email" "17","ExternalReference","External data reference" "18","UserLanguage","User language"
Column Description Example
Index Row number in the mapping table 1, 2, 3…
Source Field The incoming data field being mapped Q1, StartDate, RecipientEmail
Destination Survey Field The target survey question or field Overall Satisfaction, Start Date

Rows where the source field shows "Select source field…" (placeholder, unset rows) are automatically skipped. Only fully configured mappings are included in the export.

Comparing Dev vs Prod Mappings

One of the most valuable uses of this script is environment comparison. When you maintain parallel Qualtrics environments, typically a Dev and a Prod instance, it's easy for field mappings to drift out of sync after a survey update, a cloning operation, or a manual change made directly in production.

The workflow is simple:

  1. Run downloadLRISCSV() on the Dev environment and save as load_responses_dev.csv
  2. Run downloadLRISCSV() on the Prod environment and save as load_responses_prod.csv
  3. Upload both files to the Pirai AI CSV Comparator
  4. Instantly see which rows differ, which are missing, and which are identical

🔍 Free CSV Comparator Tool

The Pirai AI CSV Comparator is a free browser-based tool that highlights differences between two CSV files row by row. No data is uploaded to any server and everything runs locally in your browser.

Perfect for auditing Load Responses mappings across Dev, Test, and Production Qualtrics environments before go-live.

Use Cases

📋

Workflow Documentation

Generate a complete field mapping register for handover documentation, change management records, or onboarding new team members.

🔄

Environment Sync Audit

Extract mappings from Dev and Prod, then compare with the CSV Comparator to catch any configuration drift before release.

🛡️

Post-Migration Verification

After cloning a workflow or updating a survey, confirm that all field mappings survived intact with a before/after CSV comparison.

🔍

QA & Regression Testing

Build a baseline CSV of your known-good configuration and re-extract after each deployment to verify nothing has changed unexpectedly.

📊

Mapping Inventory

Maintain a living spreadsheet of all field mappings across multiple workflows and surveys in your Qualtrics account.

Rapid Troubleshooting

When a survey response isn't loading correctly, export the current mappings to quickly identify which source field may be misconfigured.

Key Features

Best Practices

Naming Your Exports

The script automatically appends a timestamp to the filename (e.g., load_responses_mappings_2026-04-12T10-30-00.csv). For environment comparison, rename the files clearly, for example load_responses_dev_20260412.csv and load_responses_prod_20260412.csv, before uploading to the CSV Comparator.

When to Run the Extraction

Run the extraction after you have finished configuring the task and while the mapping table is fully visible. The script reads the live DOM, so all rows need to be rendered. If the task panel is collapsed or the page hasn't fully loaded, wait for it to settle before running.

Keeping a Mapping Register

Consider maintaining a shared spreadsheet that tracks the mapping exports by date and environment. Paste the CSV contents into a new tab each time you make a configuration change and you'll have a full audit trail with zero extra effort.

Troubleshooting

⚠️ "No mapping rows found"

Cause: The Load Responses Into Survey task panel is not open, or the mapping table has not finished rendering.

Fix: Make sure the task configuration is open and the field mapping table is visible on screen before running the script. Wait a moment for the page to fully load, then try again.

⚠️ "Data mapper grid not found"

Cause: The script cannot locate the mapping grid, which typically means you are on a different task or screen.

Fix: Navigate to the Load Responses Into Survey task specifically. The script only works on the data mapper screen for this task type and will not extract mappings from other task types (use the appropriate toolkit for those).

⚠️ Some rows are missing from the CSV

Cause: Rows where the source field shows "Select source field…" are intentionally skipped as these are unconfigured placeholder rows.

Fix: If a row you expected is missing, check that its source field has been selected in the Qualtrics UI. Rows with a selected source field but no destination will still be included in the export.

Privacy & security: This is a browser-based tool requiring no installation. Your Qualtrics data stays completely private and everything runs locally in your browser tab. No data is transmitted to any external server. Works with all Qualtrics licence types and requires no API key.

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