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How to Bulk Import Custom Object Records in GoHighLevel — Save Hours

By William Welch ·March 13, 2026 ·10 min read
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In This Guide
  1. What Are Custom Objects and Why Bulk Import Them?
  2. Step 1: Prepare Your CSV File
  3. Step 2: Access the Bulk Import Tool
  4. Step 3: Map Your Fields Correctly
  5. Step 4: Configure Deduplication and Update Logic
  6. Step 5: Run and Monitor Your Import
  7. Managing Bulk Actions: Pause, Resume, Cancel
  8. Common Import Errors and How to Fix Them

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Manually entering hundreds or thousands of custom object records into GoHighLevel is a recipe for wasted hours, data entry errors, and frustrated team members. Whether you're onboarding client data, migrating from another platform, or scaling your CRM, bulk importing custom objects is the fastest way to get your data into the system clean, accurate, and conflict-free.

In this guide, I'll walk you through the exact process to bulk import custom object records in GoHighLevel, including setup, mapping, deduplication strategies, and troubleshooting. If you're new to GoHighLevel and want to master features like this from day one, check out the GoHighLevel Bootcamp — it's the fastest way to get proficient across the platform.

What Are Custom Objects and Why Bulk Import Them?

Custom Objects in GoHighLevel are flexible data structures you create to store information that doesn't fit standard contact or lead fields. Think of them as custom databases within your CRM—useful for tracking inventory, projects, properties, vehicles, events, or any domain-specific data your business needs.

Bulk importing custom object records saves hours compared to manual entry. Instead of clicking "Add Record" hundreds of times, you upload a single CSV file and let GoHighLevel handle the heavy lifting. The platform automatically validates, deduplicates, and inserts or updates records based on rules you define.

This is essential when:

Step 1: Prepare Your CSV File

Your import succeeds or fails at the data preparation stage. Take time to clean and format your CSV correctly.

Column Headers: Your CSV's first row must contain column headers that match your custom object's field names exactly (case-sensitive). If your custom object has a field called "Property Address," your CSV header must be "Property Address"—not "address" or "property_address."

Data Types: Ensure data types match field definitions. A field expecting a date won't accept "Jan 15" if it requires "01/15/2024." Numbers, emails, and phone fields are particularly strict. When in doubt, export a sample record from GoHighLevel and mirror its format.

Remove Duplicates: Before importing, deduplicate your CSV based on the field you'll use as a unique identifier. This prevents creating multiple records for the same entity during import.

Clean Empty Values: Leave cells blank rather than using "N/A," "—," or "NULL." GoHighLevel interprets blank cells as intentionally empty; text placeholders may cause validation failures or create unwanted data.

Encoding: Save your file as UTF-8 to avoid character encoding issues with special characters, accents, or international text.

💡 Pro Tip

Export a few existing custom object records from GoHighLevel, study their structure, and use that as a template. This ensures your CSV format matches GoHighLevel's expectations perfectly.

Step 2: Access the Bulk Import Tool

Navigate to your custom object in GoHighLevel:

  1. Log in to your GoHighLevel account
  2. Go to CRMCustom Objects
  3. Select the specific custom object you want to import records into
  4. Click the Records tab to view existing records
  5. Look for the Bulk Import button (usually in the top-right corner or in an actions menu)

If you don't see a Bulk Import button, ensure your user role has permission to manage that custom object. Ask your account admin if needed.

Step 3: Map Your Fields Correctly

Once you upload your CSV, GoHighLevel's import wizard opens a field-mapping screen. This is critical—if you map the wrong columns to the wrong fields, your data arrives corrupted.

Automatic Matching: GoHighLevel attempts to auto-match CSV headers to custom object fields. Review these matches carefully. Auto-matching works well when header names are obvious (e.g., "Email" to email field), but can fail with abbreviations or informal naming.

Manual Mapping: Use the dropdown menus to manually assign each CSV column to its corresponding custom object field. Leave unmapped columns blank if that data isn't needed in GoHighLevel.

Required Fields: The system flags required fields—those without defaults must be mapped to a CSV column. If a required field is missing from your CSV, you'll see an error before the import runs.

Verify Sample Rows: After mapping, GoHighLevel displays a preview of how your first few rows will look. Scan this preview to catch mapping mistakes before they affect thousands of records.

This is built into GoHighLevel. Try it free for 30 days →

Step 4: Configure Deduplication and Update Logic

This step determines what happens when GoHighLevel encounters a record that might already exist in your database.

Create or Update Mode: Choose whether to only create new records, or to update existing ones if a match is found. Most bulk imports use "Create/Update" to handle both scenarios in one pass.

Unique Field Selection: Specify which field acts as the unique identifier for deduplication. If importing properties, use "Property ID." For people, use "Email" or "Phone." GoHighLevel compares incoming records against this field to decide if a record is new or an update.

Deduplication Within Import: If your CSV contains duplicate rows (same unique field value twice), GoHighLevel flags this. Resolve duplicates in your CSV before uploading, or allow the system to keep only the first occurrence.

Conflict Resolution: If update mode is on and the incoming data conflicts with existing field values, GoHighLevel typically keeps the existing value to avoid accidentally overwriting accurate data. This is the safe default, but check your import settings if you need to force overwrites for specific fields.

Step 5: Run and Monitor Your Import

After configuration, click Start Import or Begin Import. GoHighLevel processes the file in the background, and you'll see a progress indicator.

Real-Time Feedback: The import status page shows records processed, errors encountered, and estimated completion time. For large imports (10,000+ records), this may take several minutes.

Don't Refresh or Leave the Page Prematurely: While the import can continue if you navigate away, staying on the import status page ensures you catch warnings or errors immediately.

Review the Import Report: Once complete, GoHighLevel generates a detailed report showing:

Download this report and review any error rows. Use the feedback to correct your CSV and re-import if necessary.

Managing Bulk Actions: Pause, Resume, Cancel

GoHighLevel's dedicated Bulk Actions page gives you control over in-progress or queued imports.

Pause: If you notice errors midway through a large import, pause it to investigate. Paused imports retain progress—records already imported stay; the rest wait until you resume.

Resume: After fixing issues in your CSV or adjusting your import settings, resume the paused import to continue from where it stopped.

Cancel: Canceling permanently stops an import. Records already created/updated remain in the database; unprocessed rows are skipped. Use cancellation if you discover a fundamental problem with your data mid-import.

Access Bulk Actions from CRM → Bulk Actions (or similar path depending on your GoHighLevel version). You'll see a history of all imports and their status.

Common Import Errors and How to Fix Them

"Field mapping is invalid": You've mapped a CSV column to a field that doesn't exist or you've left a required field unmapped. Re-check your field names against the custom object definition.

"Data type mismatch": A value in your CSV doesn't match the expected format for that field (e.g., "ABC123" in a numbers-only field). Clean your data in the CSV and re-upload.

"Duplicate value in unique field": Your CSV contains two rows with the same value in your designated unique field. Deduplicate your CSV or choose a different unique field for deduplication.

"Import file too large": GoHighLevel has file size limits (typically 100MB or similar, depending on your plan). Split your CSV into smaller batches and run multiple imports.

"Encoding error": Your CSV contains special characters that weren't encoded properly. Re-save the file as UTF-8 and re-upload.

Frequently Asked Questions

Can I bulk import custom object records with associations to contacts or other objects?

GoHighLevel's standard bulk import doesn't natively support association mapping in the UI. However, if your custom object has a lookup field pointing to contacts, you can include the contact's ID or email in your CSV, and the system will create the association. For complex multi-object associations, consider using GoHighLevel's API as an alternative after the initial bulk import.

What's the maximum number of records I can bulk import at once?

This depends on your GoHighLevel plan and file size limits. Most plans support 10,000–50,000 records per import. For larger datasets, split your CSV into multiple files and run sequential imports. GoHighLevel's bulk actions page will queue them if you submit multiple imports.

Can I schedule bulk imports to run automatically on a regular basis?

The standard bulk import tool is manual. However, if you need recurring imports (e.g., daily product syncs), use GoHighLevel's API or integrate a third-party automation tool like Zapier or Integromat to trigger imports programmatically.

What happens if an import fails partway through?

GoHighLevel stops processing and marks the import as failed. Records that successfully validated and imported before the error remain in your database. Review the error report, fix the problematic rows in your CSV, and re-import only the failed records (or the entire batch if it's small enough).

How do I know if my import overwrote existing data?

Check your import report for the count of "updated" records. If you're concerned about overwrites, run a test import on a sandbox or with a small CSV subset first. You can also export your custom object records before importing to create a backup.

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William Welch
GoHighLevel user and affiliate. Runs GlobalHighLevel.com — free tutorials, guides, and strategies for agencies and businesses using GHL worldwide.