keywordbarrage/noon-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
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)

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Dataset Card: Enterprise SKU Depletion & WAF Telemetry

1. Executive Summary

This repository contains an open 1,000-row verified benchmark sample of the Noon SKU depletion feed. Designed for quantitative hedge funds and data engineering teams, this dataset provides a solution to the brittle nature of high-frequency market intelligence. We bypass Akamai Bot Manager and TLS/JA4 fingerprinting challenges to deliver 99.9% verified pipeline availability.

Enterprise Engagement: This feed is part of a managed data service available via a 1,500 USDT/month SLA retainer, ensuring deterministic schema parity and zero-noise extraction for mission-critical RAG and predictive modeling pipelines.

2. Enterprise Deliverables Matrix

• Pre-indexed SQLite (.sqlite): Optimized for instant local querying with indices on sku_id and timestamp.
• Snappy Parquet: Optimized for direct ingestion into Snowflake, Google BigQuery, and AWS Athena.
• Offline DataGrid (.html): A self-contained, interactive UI for quantitative stakeholders to audit data quality without SQL requirements.
• CDC JSONL Stream: Change Data Capture format for real-time integration into vector DBs and RAG-based market intelligence pipelines.

3. Dataset Schema & Data Dictionary

Column	Type	Nullable	Description
sku_id	String	No	Unique Noon Partner SKU/Model ID
timestamp	DateTime	No	ISO-8601 capture time
price_usd	Float	No	Normalized price (AED/SAR/EGP to USD)
stock_level	Integer	Yes	Reported inventory count
velocity_depletion_rate	Float	Yes	Calculated 24h SKU movement velocity
detected_waf	String	No	Perimeter defense signature (Akamai/Envoy)
tls_ja4_signature	String	No	Transport layer security fingerprint
delivery_status	Boolean	No	200 OK / 403 Challenge status

Sample JSON Record:

{
  "sku_id": "N12345678A",
  "timestamp": "2026-09-24T14:30:00Z",
  "price_usd": 499.99,
  "stock_level": 42,
  "velocity_depletion_rate": 0.15,
  "detected_waf": "Akamai-Bot-Manager-v4",
  "tls_ja4_signature": "a1b2c3d4e5f6",
  "delivery_status": true
}

4. Reproducibility & Quality Metrics

• Pipeline Availability: 99.9% uptime via protocol-level extraction.
• Latency: Sub-120ms protocol execution benchmarks.
• Data Integrity: Automated deduplication and schema drift detection on every ingestion cycle.
• Compliance: All data is harvested from public product catalog endpoints; no PII or session-specific user data is included in the telemetry feed.