20-07-25, 10:40 PM
🔴 INDONESIAN SHOPPING ORDERS DATA – REAL TIME
🔴 REGION: Indonesia
🔴 VOLUME: 20,000 – 30,000 Orders / Day (Average)
🔴 SOURCE: Verified Multi-Channel Order Aggregation.
🔴 Status: Fresh, Structured, and Continuously Updated
💾 WHAT YOU GET:
🔴 Daily Order Data Feed – All orders collected, cleaned, and categorized
🔴 Detailed Buyer Profiles:
• Full Name
• Contact Number
• Email Address (if available)
• Shipping Address (Street, City, Province)
🔴 Order Metadata:
• Order ID & Timestamps
• Product Names + SKUs
• Quantity & Pricing (Local Currency)
• Payment Method (COD, E-wallet, Bank Transfer)
• Delivery Status (Packed, Shipped, Delivered)
🔴 Merchant / Seller Information:
• Seller Name
• Shop Region & Seller Ratings (If applicable)
• Dispatch Locations
🔴 • MANY MORE...
🔴📦 HISTORICAL DATABASE:
Includes 12+ months of archived orders (millions of entries), fully structured in CSV/SQL formats for enterprise use.
🔴WHY CHOOSE US?
- Largest Indonesian Shopping Order Dataset in the market – unmatched scale and freshness.
- 20k-30k Daily Orders – updated every 24 hours.
- Enterprise-Grade Accuracy – Cleaned, duplicate-free, ready for analytics.
- Custom Exports – Filter by City, Province, Category, Price Range, or Seller Rating.
🔴DELIVERY FORMAT:
• Daily Dumps (CSV, JSON, SQL)
• Monthly Roll-Ups (1M+ Records)
• Total :- 20M+ Records
• Proof Samples (Randomized Recent Orders)
🔴WHO USES THIS DATA?
• E-commerce analytics teams
• Market researchers
• Spammer
• Supply-chain analysts
• Competitive monitoring agencies
🔴 CONTACT FOR SAMPLE
Telegram: @Lionishackerrr
Session ID: 059d7605a6a7b12f02623269326c804e97f389b3f4ad19817021d0bf7a7b90f569
🔴 REGION: Indonesia
🔴 VOLUME: 20,000 – 30,000 Orders / Day (Average)
🔴 SOURCE: Verified Multi-Channel Order Aggregation.
🔴 Status: Fresh, Structured, and Continuously Updated
💾 WHAT YOU GET:
🔴 Daily Order Data Feed – All orders collected, cleaned, and categorized
🔴 Detailed Buyer Profiles:
• Full Name
• Contact Number
• Email Address (if available)
• Shipping Address (Street, City, Province)
🔴 Order Metadata:
• Order ID & Timestamps
• Product Names + SKUs
• Quantity & Pricing (Local Currency)
• Payment Method (COD, E-wallet, Bank Transfer)
• Delivery Status (Packed, Shipped, Delivered)
🔴 Merchant / Seller Information:
• Seller Name
• Shop Region & Seller Ratings (If applicable)
• Dispatch Locations
🔴 • MANY MORE...
🔴📦 HISTORICAL DATABASE:
Includes 12+ months of archived orders (millions of entries), fully structured in CSV/SQL formats for enterprise use.
🔴WHY CHOOSE US?
- Largest Indonesian Shopping Order Dataset in the market – unmatched scale and freshness.
- 20k-30k Daily Orders – updated every 24 hours.
- Enterprise-Grade Accuracy – Cleaned, duplicate-free, ready for analytics.
- Custom Exports – Filter by City, Province, Category, Price Range, or Seller Rating.
🔴DELIVERY FORMAT:
• Daily Dumps (CSV, JSON, SQL)
• Monthly Roll-Ups (1M+ Records)
• Total :- 20M+ Records
• Proof Samples (Randomized Recent Orders)
🔴WHO USES THIS DATA?
• E-commerce analytics teams
• Market researchers
• Spammer
• Supply-chain analysts
• Competitive monitoring agencies
🔴 CONTACT FOR SAMPLE
Telegram: @Lionishackerrr
Session ID: 059d7605a6a7b12f02623269326c804e97f389b3f4ad19817021d0bf7a7b90f569
Ban reason: multiaccount @CatOga (Permanent)
