Build Your Own
Litbuy Spreadsheet (2026)

Introduction

The official litbuy spreadsheet is fast, accurate, and requires zero maintenance. But some shoppers prefer the control of a self-built tool. Maybe you want to track multiple retailers. Maybe you need custom columns for your resale business. Maybe you simply enjoy the satisfaction of building your own system. This guide walks you through creating a DIY fashion deal tracker from scratch using Google Sheets. By the end, you will have a functional spreadsheet that replicates the core features of the official tool.

What You Will Need

• A Google account (free) or Microsoft Excel license
• Basic spreadsheet knowledge (formulas, sorting, filtering)
• Two to three hours for initial setup
• One hour per week for ongoing maintenance
• Access to retailer product pages for manual data entry or API access for automation

Step 1: Design Your Column Structure

Start with a header row containing every column you need. The official litbuy spreadsheet uses these core columns: Product Name, Category, Original Price, Current Price, % Off, Size Availability, Color, Restock Status, Date Added, and Direct Link. Add custom columns as needed. Resellers might want "Estimated Resale Price" and "Net Margin." Bloggers might want "Review Status" and "Publish Date."

Keep the structure consistent across all category tabs. Inconsistent columns make filtering and sorting unreliable. Use data validation dropdowns for columns like Category, Restock Status, and Size to prevent typos that break your filters later.

Step 2: Build the % Off Formula

The discount percentage is the heart of any deal tracker. In Google Sheets, use the formula: =IF(B2="","",ROUND((B2-C2)/B2*100,1)) where B2 is Original Price and C2 is Current Price. This calculates the percentage saved and rounds to one decimal place. Apply conditional formatting to highlight cells: green for thirty percent or above, yellow for fifteen to twenty-nine percent, and red for below fifteen percent.

Add a second formula to flag suspicious discounts: =IF(AND(D2>40, B2-C2<5), "Verify", "OK") where D2 is % Off. This catches retailers who inflate original prices before applying a discount. If the percentage is high but the dollar savings are low, the deal deserves manual verification.

Step 3: Add Category Tabs

Create a separate sheet tab for each category you track: Shoes, Hoodies, T-Shirts, Jackets, Pants, Headwear, Sets, Underwear, Jerseys, and Accessories. Copy your header row into each tab. Use the =IMPORTRANGE() function if you want a master summary sheet that pulls the top five deals from each category automatically. This requires some Google Sheets expertise but creates a dashboard view similar to the official free litbuy spreadsheet interface.

Step 4: Automate Price Updates (Optional)

Manual entry works for tracking ten to twenty items. For larger catalogs, automation is essential. Google Apps Script can scrape web pages using UrlFetchApp, but most modern retailers block simple scraping. The reliable path is using official APIs when available, or browser extensions like SheetGo that sync data from supported platforms.

If you are technically inclined, consider building a simple Python script using BeautifulSoup or Scrapy, running it on a free Replit or PythonAnywhere account, and pushing results to your Google Sheet via the Sheets API. This gives you near real-time updates but requires ongoing maintenance whenever the retailer changes their page structure. The official litbuy spreadsheet team handles this maintenance so you do not have to.

DIY vs Official: Effort Comparison

Step 5: Add Watchlist and Alert Logic

Create a "Watchlist" tab that pulls items from category tabs where a "Watch" column is marked TRUE. Use FILTER() functions to display only watched items. For basic alerts, set up Google Sheets email notifications when specific cells change. For more sophisticated alerts, use Zapier or Make to watch your sheet and send Slack messages or emails when a discount threshold is crossed. This approximates the alert system in the official litbuy spreadsheet but requires more setup and ongoing maintenance.

Step 6: Build a Simple Dashboard

Add a "Dashboard" tab with summary statistics. Use COUNTIF to show total items tracked. Use AVERAGE to show average discount across all categories. Use MAX to highlight the single biggest deal. Use a SPARKLINE function to graph discount trends over time. This gives you a high-level view of your deal landscape, similar to the analytics features in the best litbuy spreadsheet premium tier.

Tips for Success

• Start small. Track one category with ten items before expanding. Early success prevents overwhelm.
• Use data validation for every categorical column. Typos break filters and make your data unreliable.
• Back up your sheet weekly. Google Sheets keeps version history, but manual exports are a good safety net.
• Document your formulas in a "Notes" tab. Future you will thank present you when something breaks.
• Accept that DIY will never match the speed of an official automated feed. Your advantage is customization, not real-time precision.

Frequently Asked Questions

Final Thoughts

Building your own fashion deal tracker is a rewarding project for the technically curious. It teaches valuable skills in data organization, formula logic, and automation. But it is also a significant time investment. The litbuy spreadsheet exists precisely because most shoppers prefer to spend their time shopping rather than maintaining tools.

Our recommendation: try the free litbuy spreadsheet first. Use it for a month. Identify what, if anything, it lacks for your specific needs. Then decide whether a DIY supplement or replacement is justified. For ninety percent of shoppers, the official tool is the smarter choice. For the remaining ten percent, this guide gives you everything you need to build something powerful and personal.