Remove Duplicates consultants
We can help you automate your business with Remove Duplicates and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Remove Duplicates.
About Remove Duplicates
Remove Duplicates is an n8n node that filters out duplicate items from your workflow data based on field values you specify. When processing data from multiple sources — CRM exports, API responses, spreadsheet imports — duplicates inevitably creep in. This node catches them before they cause problems downstream, whether that means sending duplicate emails, creating duplicate records in your database, or double-processing invoices.
The node works by comparing a field you choose (like email address, record ID, or transaction number) across all items passing through it. Only the first occurrence of each unique value continues through the workflow; subsequent duplicates get filtered out. You can also compare across multiple fields for more precise deduplication, such as matching on both name and date to catch records that share one field but differ on another.
At Osher Digital, deduplication is a standard step in almost every data processing pipeline and system integration we build. In our talent marketplace project, removing duplicate applicant records was essential before feeding data into the AI processing stage. If your business is dealing with messy, duplicated data across multiple systems, our business automation team can design a clean data pipeline that eliminates duplicates and keeps your systems in sync.
Remove Duplicates FAQs
Frequently Asked Questions
Common questions about how Remove Duplicates consultants can help with integration and implementation
How does the Remove Duplicates node determine which items are duplicates?
Can I check for duplicates across multiple fields at once?
Does Remove Duplicates work across different workflow executions?
What happens to the removed duplicate items?
Is Remove Duplicates case-sensitive when comparing text fields?
Where should I place Remove Duplicates in my workflow?
How it works
We work hand-in-hand with you to implement Remove Duplicates
As Remove Duplicates consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Remove Duplicates with integrate and automate 800+ tools.
Step 1
Identify your data source and duplication pattern
Before adding the node, understand where duplicates come from in your data. Common sources include merging lists from multiple systems, API pagination returning overlapping results, or webhook events firing multiple times for the same action.
Step 2
Add Remove Duplicates to your workflow
Place the Remove Duplicates node after your data source node but before any processing or output nodes. This ensures duplicates are caught early, before they trigger downstream actions like sending emails or creating records.
Step 3
Select the comparison field
Choose which field should be used to identify duplicates. Pick a field that uniquely identifies each record — email address, record ID, or transaction reference. Avoid fields that might legitimately have the same value across different records.
Step 4
Configure additional comparison fields if needed
If a single field is not sufficient to identify true duplicates, add more fields to the comparison. For example, comparing both customer name and order date prevents removing records that share a name but represent different transactions.
Step 5
Handle edge cases with data normalisation
Add a Set node before Remove Duplicates to normalise your comparison fields — trim whitespace, convert to lowercase, or standardise date formats. This prevents false negatives where slightly different formatting causes true duplicates to slip through.
Step 6
Test with real data and verify results
Run the workflow with a sample dataset that contains known duplicates. Check the output count against your expected unique count. Verify that legitimate unique records were not incorrectly removed and that all true duplicates were caught.
Transform your business with Remove Duplicates
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Remove Duplicates consultation.