keywordbarrage/selfridges-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("enterprise-sku-depletion-and-waf-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)

---

Dataset Card: Enterprise SKU Depletion & WAF Telemetry

Executive Summary

This dataset provides a production-grade, high-frequency telemetry feed for enterprise retail intelligence. Engineered specifically for hedge funds, CTOs, and e-commerce analysts, it bypasses standard scraping brittle-points (Cloudflare Bot Management, Turnstile, and TLS/JA4 fingerprinting) to provide a clean, continuous stream of product inventory and pricing data.

Delivered under a 1,500 USDT/month SLA Retainer, this feed ensures 99.9% uptime, zero proxy maintenance burden, and consistent data schema delivery directly into your pipeline.

Enterprise Deliverables Matrix

We provide four distinct formats optimized for immediate integration:

1. Pre-indexed SQLite (.sqlite): Instant local querying with B-Tree indices on sku_id and timestamp.
2. Snappy Parquet: Optimized for direct ingestion into Snowflake, BigQuery, and AWS Athena.
3. Zero-Dependency DataGrid (.html): A self-contained, interactive viewer for business stakeholders to audit data quality without SQL knowledge.
4. CDC JSONL Stream: Change Data Capture format designed for RAG pipeline ingestion and vector database updates.

Dataset Schema

Column	Type	Nullable	Description
sku_id	STRING	No	Unique identifier for the product SKU.
timestamp	DATETIME	No	UTC precision of the observation.
price_usd	FLOAT	No	Current retail price in USD.
stock_level	INTEGER	Yes	Real-time quantity available.
depletion_velocity	FLOAT	Yes	Calculated rate of sales (units/hr).
detected_waf	STRING	No	WAF signature (e.g., Cloudflare-Managed).
tls_ja4_signature	STRING	No	JA4 fingerprint for session parity.
delivery_status	STRING	No	Pipeline verification flag.

Sample JSON Record

{
  "sku_id": "SLF-77392-LX",
  "timestamp": "2026-09-24T14:30:00Z",
  "price_usd": 1250.00,
  "stock_level": 4,
  "depletion_velocity": 0.15,
  "detected_waf": "Cloudflare-Bot-Management-v2",
  "tls_ja4_signature": "t13d1516h2_322589578201_322589578201",
  "delivery_status": "VERIFIED_200_OK"
}

SLA & Compliance

• Availability: 99.9% uptime guarantee.
• Maintenance: Zero proxy markup or IP pool management; all infrastructure managed by our engineering team.
• Compliance: Data is normalized to remove PII; strictly focused on market intelligence and inventory movement.
• Engagement: 1,500 USDT/month SLA Retainer. Contact our team to initiate a verified sample deliverable.

Usage Notes

This dataset is intended for quantitative analysis and market intelligence. The tls_ja4_signature field allows advanced users to audit the session parity of the ingestion, ensuring that the data retrieved matches the exact state presented to human users at the target retail perimeter.

https://www.keywordbarrage.com/scrapers/selfridges-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.