GST Reconciliation Using Python
A Practical Guide for Chartered Accountants & Tax Professionals
In today’s GST environment, manual reconciliation using Excel is no longer scalable.
With frequent notices like ASMT-10, DRC-01C, ITC mismatch communications, professionals need accurate, repeatable, and audit-ready reconciliation.
This is where Python automation becomes a game-changer for GST compliance.
What is GST Reconciliation?
GST reconciliation means matching data reported in GST returns with the books of accounts to identify:
- Missing invoices
- Excess or ineligible ITC
- Short or excess tax payments
- Reporting mismatches across returns
Common Reconciliations Performed
| Reconciliation Type | Purpose |
|---|---|
| Books vs GSTR-2B | ITC eligibility |
| Books vs GSTR-1 | Sales completeness |
| GSTR-1 vs GSTR-3B | Tax payment accuracy |
| Vendor-wise ITC | Follow-up & compliance |
| Section 16(4) check | Time limit validation |
| Rule 36(4) check | ITC restriction |
Why Use Python for GST Reconciliation?
Traditional Excel-based reconciliation has limitations:
- Manual errors
- Time-consuming
- Difficult to repeat monthly
- Poor audit trail
Python Advantages
- Fully automated
- Handles large data (lakhs of invoices)
- Consistent logic every month
- Reusable scripts for multiple clients
- Easy integration with Power BI & AI tools
GST Reconciliation Workflow Using Python
Step 1: Data Extraction
Export the following files:
- Purchase Register from Tally / ERP
- GSTR-2B (Excel from GST Portal)
- GSTR-1 & GSTR-3B (Excel)
Step 2: Standardise the Data
Before reconciliation, standardisation is critical:
- Clean GSTIN
- Trim invoice numbers
- Convert invoice dates
- Align column names
Step 3: Books vs GSTR-2B Reconciliation (ITC)
Below is a simple Python example using Pandas:
```python import pandas as pd
books = pd.read_excel("books_purchase.xlsx") gstr2b = pd.read_excel("gstr2b.xlsx")
books['Invoice No'] = books['Invoice No'].astype(str).str.strip() gstr2b['Invoice No'] = gstr2b['Invoice No'].astype(str).str.strip()
books['key'] = books['GSTIN'] + "|" + books['Invoice No'] gstr2b['key'] = gstr2b['GSTIN'] + "|" + gstr2b['Invoice No']
reco = books.merge( gstr2b, on='key', how='left', suffixes=('_books', '_2b'), indicator=True )
reco['ITC Status'] = reco['_merge'].map({ 'both': 'Matched', 'left_only': 'Not appearing in GSTR-2B' })
reco.to_excel("ITC_Reconciliation_Report.xlsx", index=False)
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