Track and compare product prices across popular Indian stores (Amazon India, Flipkart, Reliance Digital, Croma, Vijay Sales, Tata CLiQ, and more), compute effective prices after offers/cashback, detect arbitrage opportunities, and monitor price history with alerts.
Track prices across major Indian ecommerce stores and compare true payable cost, not just listed price.
Primary stores:
Additional stores:
This skill provides tracking and comparison workflows only. It does not execute purchases. Store APIs, policies, and pricing terms can change. You are responsible for complying with each platform's Terms of Service and applicable laws.
Use at your own risk. The skill author/publisher/developer is not liable for direct or indirect loss, trading losses, missed opportunities, scraping/API bans, account restrictions, or other damages arising from use or misuse of this guidance.
India-first store adapters
Effective price modeling
effective_price = listing_price - instant_discount - coupon_discount - card_cashback + shippingPincode-aware availability
Arbitrage with fee model
History + trend flags
Alerting modes
On first use, read setup.md, then run scripts in mock mode first.
python3 scripts/compare_prices.py \
--keyword "iPhone 15 128GB" \
--stores amazon_in,flipkart,reliance_digital,croma,vijay_sales,tata_cliq \
--report markdown
python3 scripts/track_product.py \
--product "Sony WH-1000XM5" \
--stores amazon_in,flipkart,croma \
--alert-below 24999 \
--alert-margin 0.18 \
--pincode 560001
python3 scripts/bulk_monitor.py \
--csv examples/products.india.csv \
--margin-threshold 0.15 \
--output reports/alerts.txt
python3 scripts/price_history.py \
--product "Samsung Galaxy S24" \
--days 60 \
--stores amazon_in,flipkart \
--trend-analysis
When asked to analyze products, return:
scripts/compare_prices.pyscripts/track_product.pyscripts/bulk_monitor.pyscripts/price_history.pyscripts/config.pyexamples/products.india.csvREADME.md