Remove Duplicates from Brewery and Craft Beer Data
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Brewery databases collect duplicates when the same beer appears under its tap handle name, its can label name, and its distribution name. A seasonal IPA might be listed as 'Hop Harvest IPA', 'Harvest Hops', and 'Seasonal IPA #4' across different data sources within the same brewery's records. dataclean.to matches beer entries by brewery, style, ABV, and normalized name to collapse redundant listings into a single catalog entry per product.
The Problem
Duplicate records in brewery data create inventory confusion and reporting inaccuracies. When the same beer appears under multiple names, production tracking cannot accurately measure how much of each recipe was brewed versus sold. Taproom staff may accidentally list the same beer twice on the digital menu board, or fail to update one entry when a keg kicks. Distribution partners working from a duplicated product list may order what they think are two different beers only to receive double of the same product. For brewery directories and beer rating platforms, duplicates split reviews and ratings, making it harder for consumers to find reliable information. Brewers Association industry data standards
How to Fix It
1
Compile beer and brewery records
Gather product data from your brewery management software, taproom POS, distribution lists, and any directories. Include beer name, style, ABV, IBU, brewery name, and packaging format.
2
Upload to dataclean.to
Upload the CSV. The tool normalizes beer names by removing common descriptors like 'IPA', 'Ale', 'Lager' during comparison, then matches on brewery name, ABV range, and style to find duplicates.
3
Examine duplicate beer clusters
Review groups of entries flagged as the same beer. The tool highlights differences such as name variations between tap handle and can label, slight ABV discrepancies from different batches, and missing style classifications.
4
Merge into canonical product entries
Consolidate confirmed duplicates into one listing per beer. Select the preferred product name, retain all packaging formats as attributes, and keep the most complete description and tasting notes.
5
Export the clean catalog
Download the deduplicated CSV and update your brewery management system, taproom menu, and distribution sheets. Each beer now has one definitive entry with consistent naming and specs.
Frequently Asked Questions
How does the tool handle the same beer recipe brewed at different locations?
If a brewery produces the same recipe at a main facility and a satellite taproom, the records are flagged as potential duplicates based on matching beer name and ABV. You can review and decide whether to merge them or keep location-specific entries.
What about seasonal beers that return each year with slight recipe changes?
The tool matches on beer name and brewery. If the 2025 and 2026 versions of a seasonal beer share the same name but have different ABV or IBU values, they are flagged for review so you can decide whether they are the same product or distinct vintages.
Can it deduplicate brewery listings across multiple directories?
Yes. Brewery listings from different directories are matched by business name, address, and phone number. Variations like 'Smith Brewing Co.' and 'Smith Brewing Company' are caught by the name normalization process.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.