keywordbarrage/john-lewis-scraper

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library for ML pipelines
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 BI tools and instant local querying
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:

Dataset Summary

This dataset provides a high-frequency, production-grade telemetry feed for John Lewis retail inventory, specifically engineered to bypass Akamai Bot Manager and Edge Shield defenses. Designed for Hedge Funds, CTOs, and E-Commerce Architects, this feed eliminates the "brittle scraper" problem by providing pre-normalized, deduplicated inventory data.

Delivery Guarantee: This dataset is maintained under a 1,500 USDT/month SLA Retainer, ensuring 99.9% uptime, zero-maintenance, and direct delivery to your storage layer. We do not provide scripts; we provide the data.

Enterprise Deliverables Matrix

• Pre-indexed SQLite (.sqlite): Instant local querying with B-Tree 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 viewer for business stakeholders to audit data quality without SQL knowledge.
• CDC JSONL Stream: Change Data Capture format for RAG pipeline integration and vector DB updates.

Dataset Schema

Column	Type	Nullable	Description
sku_id	STRING	No	Unique John Lewis internal identifier
timestamp	DATETIME	No	ISO-8601 ingestion time
price_usd	FLOAT	No	Real-time selling price
stock_level	INT	No	Current inventory count
depletion_rate	FLOAT	No	Velocity of stock movement (units/hr)
waf_status	STRING	No	Telemetry on Akamai challenge state
tls_ja4_sig	STRING	No	Observed TLS/JA4 handshake signature

Sample Record (JSON)

{
  "sku_id": "JL-998234-X",
  "timestamp": "2026-09-24T14:30:00Z",
  "price_usd": 149.99,
  "stock_level": 42,
  "depletion_rate": 0.85,
  "waf_status": "bypass_success",
  "tls_ja4_sig": "t13d1512h2_888a444"
}

SLA & Compliance

• Availability: 99.9% uptime guarantee.
• Proxy Integrity: Zero-markup residential proxy pools; direct transport-layer parity.
• Support: Dedicated Slack/Telegram bridge for 1,500 USDT/month retainer clients.
• Compliance: GDPR-compliant ingestion; no PII (Personally Identifiable Information) included.

https://www.keywordbarrage.com/scrapers/john-lewis-scraper.html

#akamai-bot-manager #datadome-bypass #cloudflare-turnstile #kasada-shape-security #perimeterx-human-security #incapsula-imperva #aws-waf-mitigation #ja4-fingerprint #tls-client-hello #http2-fingerprinting #canvas-entropy #browser-telemetry-audit #ja3-spoofing #tcp-ip-fingerprint #managed-data-feed #shopify-plus-intelligence #magento-variant-extraction #salesforce-commerce-cloud #sap-commerce-cloud #time-series-sku-tracking #inventory-depletion-engine #storefront-graphql #nextjs-ssr-extraction #nuxt-payload-parsing #internal-rest-api-extraction #sqlite-dataset-delivery

📦 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.