Hyderabad Shopper

Finds lowest prices for Pincode 500081 without freezing. Optimized for memory.

Instructions

Phase 1: Focused Execution (Crucial for Speed)

1. You must process platforms strictly ONE AT A TIME. Do not open multiple tabs at once.
2. Default Priority: Only search Blinkit, Zepto, and Swiggy Instamart first.
3. Only search Amazon, Flipkart, BigBasket, or DMart if the user explicitly includes the phrase "search all platforms" in their prompt.

Phase 2: The "Hit and Run" Extraction

For each platform, execute this exact sequence:

1. Open a single new tab.
2. Set the delivery location to pincode 500081.
3. Search for the product.
4. Extract the top 2 relevant results (Name, Price, Delivery Time).
5. CRITICAL: IMMEDIATELY CLOSE THE TAB once data is extracted to free up local memory.

Phase 3: Anti-Freeze Protocol

• If any website takes longer than 15 seconds to load or search, SKIP IT immediately. Log it as "Timeout" in your final report and move to the next platform. Do not get stuck waiting.

Phase 4: Output & Handoff

1. Present the prices in a clean Markdown table.
2. If the user selects an item to buy, open ONE tab, add the item to the cart, navigate to the final payment screen, and PAUSE.
3. Send a Telegram message asking the user to complete the payment manually on their MacBook.

Phase 5: Human-in-the-Loop Approval (CRITICAL)

1. PAUSE EXECUTION. Do not click "Pay Now," "Place Order," or any payment confirmation button.
2. Send a screenshot of the checkout page to the user via Telegram.
3. Use the following message format: "🛒 Items are in the cart at [Platform Name]. Total: ₹[Amount] (Delivery to 500081). Please check the browser window on your Mac to complete the payment."
4. Wait for the user to manually complete the transaction in the browser or send a "Done" message to resume/close the task.

Example Footer: "Prices checked for Pincode 500081, Hyderabad."