keywordbarrage/esselunga-scraper

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library
dataset = load_dataset("daas-intelligence/enterprise-sku-depletion-telemetry")
print("Hub Sample Record:", dataset["train"][0])

# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# Optimized for high-frequency analytical queries
conn = sqlite3.connect("enterprise_feed.sqlite")
df = pd.read_sql_query("SELECT sku_id, price_usd, stock_level, depletion_velocity FROM sku_stream ORDER BY timestamp DESC LIMIT 10", conn)
print(df)

---

Dataset Card: Enterprise SKU Depletion & WAF Telemetry

Executive Summary

This dataset provides a high-fidelity, production-grade intelligence feed extracted from the Esselunga (spesaonline.esselunga.it) e-commerce ecosystem. Engineered for CTOs, Hedge Funds, and Retail Data Architects, this feed bypasses sophisticated bot mitigation (Google reCAPTCHA Enterprise, Varnish Shield, and TLS/JA4 fingerprinting) to deliver clean, normalized SKU-level data.

Delivered under a 1,500 USDT/month SLA Retainer, this feed ensures 99.9% uptime, removing the operational burden of maintaining proxy pools, managing headless browser clusters, or refactoring pipelines after upstream security updates.

Enterprise Deliverables Matrix

We provide four standard formats to integrate directly into your existing stack:

1. Pre-indexed SQLite (.sqlite): Ready-to-query local database with B-Tree indices on sku_id and timestamp.
2. Snappy Parquet: Columnar storage optimized for high-performance ingestion into Snowflake, Google BigQuery, or AWS Athena.
3. Zero-Dependency DataGrid (.html): An interactive, self-contained HTML viewer for business stakeholders to audit data without SQL knowledge.
4. CDC JSONL Stream: Change Data Capture format designed for streaming into Vector DBs or RAG pipelines.

Dataset Schema

Column	Type	Nullable	Description
sku_id	String	No	Unique Esselunga internal product identifier
timestamp	Datetime	No	ISO-8601 UTC event time
price_usd	Float	No	Current retail price in USD
stock_level	Integer	Yes	Real-time inventory availability
velocity_depletion	Float	Yes	Calculated SKU sales velocity per hour
detected_waf	String	No	WAF signature (e.g., "reCAPTCHA-Enterprise")
tls_ja4_signature	String	No	TLS fingerprint for infrastructure verification
delivery_status	Boolean	No	Successful ingestion flag

Sample JSON Record:

{
  "sku_id": "ESL-998234",
  "timestamp": "2026-09-24T14:30:00Z",
  "price_usd": 4.99,
  "stock_level": 142,
  "velocity_depletion": 0.85,
  "detected_waf": "Google reCAPTCHA Enterprise",
  "tls_ja4_signature": "t13d15h2h3_848484",
  "delivery_status": true
}

SLA & Compliance

• Availability: 99.9% SLA guaranteed.
• Maintenance: Zero-touch. Our engineers handle all perimeter updates and WAF handshake rotations.
• Pricing: 1,500 USDT/month flat-fee retainer (TRC20/BEP20).
• Compliance: Data is extracted via protocol-level parity, bypassing client-side tracking pixels and respecting GDPR-governed consent signals.

Note: This dataset is designed for quantitative market intelligence and enterprise product tracking. Usage must comply with the terms of service provided in your enterprise engagement contract.

https://www.keywordbarrage.com/scrapers/esselunga-scraper.html

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📦 Turnkey 4-in-1 Data Delivery & Standalone Offline Viewers

Every dataset includes a pre-indexed SQLite DB, structured JSON, flat CSV, and our proprietary Zero-Dependency Interactive HTML DataGrid. Double-click to search, sort, and filter tens of thousands of records offline—zero SQL, zero SaaS subscriptions, and zero API keys required.

Live Interactive Deliverable Demos (No Setup Required):

• 📊 Universal Multi-Vendor Showcase — Live search, faceted multi-variant filtering & delta analytics.
• 🛍️ Shopify Direct-to-Consumer Grid — High-velocity catalog indexing & SKU tracking.
• 🎨 Etsy Marketplace Grid — Handmade seller taxonomy, real reviews & fee calculations.