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Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library
# Note: This dataset is designed for enterprise delivery; a public Hugging Face version
# might contain anonymized or sample data. Full access requires the SLA retainer.
dataset = load_dataset("daas-intelligence/enterprise-sku-depletion-telemetry", split="train")
print("Hub Sample Record:", dataset[0])

# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# This file 'enterprise_feed.sqlite' is provided directly to enterprise clients
# under the 1,500 USDT/month SLA retainer.
try:
    conn = sqlite3.connect("enterprise_feed.sqlite")
    df = pd.read_sql_query("""
        SELECT
            sku_id,
            product_title,
            current_price_eur,
            stock_level,
            depletion_velocity_24h,
            timestamp_utc
        FROM sku_stream
        ORDER BY timestamp_utc DESC
        LIMIT 10
    """, conn)
    print("\nSQLite Sample Data (from enterprise_feed.sqlite):")
    print(df)
    conn.close()
except sqlite3.OperationalError:
    print("\n'enterprise_feed.sqlite' not found. This file is delivered separately to SLA clients.")
    print("Please contact daas-intelligence for access to the full enterprise data feed.")

Dataset Card:

Enterprise High-Frequency SKU Depletion & WAF Telemetry Feed (1,500 USDT SLA Retainer)

Dataset Summary & B2B Motivation

In today's hyper-competitive e-commerce landscape, CTOs, Hedge Funds, and E-Commerce Leaders face a critical challenge: real-time market intelligence pipelines are constantly disrupted by sophisticated bot management systems and web application firewalls (WAFs). Traditional web scraping methods, reliant on brittle residential proxies or headless browser setups, consistently fail against defenses like Cloudflare Bot Management, Enterprise Turnstile, and advanced TLS/JA4 fingerprinting. This leads to costly HTTP 403 bans, inaccurate data, and a significant maintenance burden that diverts engineering resources from core product development.

This dataset offers a production-grade, bypass-proof solution for extracting high-frequency SKU depletion, pricing, and inventory telemetry from Cdiscount.com. Delivered under a guaranteed 1,500 USDT/month SLA Retainer, our service ensures 99.9% uptime and zero maintenance burden for your team. We specialize in transport-layer protocol orchestration, bypassing Layer 7 challenges without relying on fragile "AI vision scraping" or bloated browser emulation, providing clean, structured data directly to your systems.

Zero-Code Enterprise Deliverables Matrix

Our enterprise data feeds are designed for seamless integration into existing data architectures, providing four distinct, production-ready formats:

Pre-indexed SQLite (.sqlite): Instant local querying with pre-built indices on sku_id, price_delta_eur, and timestamp_utc. Ideal for rapid prototyping, local analytics, and direct ingestion into internal tools without complex ETL.
Snappy Parquet: Optimized for cloud data warehouses such as Snowflake, Google BigQuery, and AWS Athena. Parquet offers columnar storage for efficient querying and reduced storage costs, making it perfect for large-scale analytical workloads.
Zero-Dependency Offline DataGrid (.html): A self-contained, interactive HTML table for business stakeholders. This format allows non-technical users to explore, filter, and analyze the data without requiring SQL knowledge, API keys, or specialized software. It's a "data product in a browser."
CDC JSONL Stream: Change Data Capture (CDC) format delivered as JSON Lines. This stream is optimized for real-time updates to Enterprise RAG pipelines, vector databases, and operational data stores, ensuring your AI models and applications always have the freshest market intelligence.

Dataset Schema & Data Dictionary

The enterprise-sku-depletion-and-waf-telemetry dataset provides comprehensive, structured information on Cdiscount products, including pricing, stock levels, merchant details, and various telemetry flags.

Column Name	Type	Nullable	Description
`sku_id`	`string`	`FALSE`	Unique Cdiscount SKU or product identifier.
`gtin_ean`	`string`	`TRUE`	Universal Barcode (EAN / GTIN) for the product.
`product_title`	`string`	`FALSE`	Full product title, including brand and private label (e.g., Cdiscount Gaming).
`brand_name`	`string`	`TRUE`	Detected brand name of the product.
`department`	`string`	`TRUE`	Marketplace department (e.g., Computing, Electronics, Home).
`category_path`	`string`	`TRUE`	Full hierarchical category path of the product.
`current_price_eur`	`float`	`FALSE`	Live Buy Box selling price in Euros, including VAT.
`reference_rrp_eur`	`float`	`TRUE`	Strikethrough reference RRP (Recommended Retail Price) in Euros, if available.
`price_savings_pct`	`float`	`TRUE`	Percentage savings from the reference RRP, if applicable.
`cdav_eligible`	`boolean`	`FALSE`	`TRUE` if eligible for Cdiscount à Volonté (CDAV) express delivery.
`premium_shipping_badge`	`string`	`TRUE`	Description of any premium shipping badges.
`merchant_type`	`string`	`FALSE`	Indicates if sold by "Cdiscount" or "Vendeur Pro Marketplace".
`merchant_name`	`string`	`TRUE`	Name of the marketplace merchant if applicable.
`merchant_rating`	`float`	`TRUE`	Merchant performance score (e.g., 1-5 stars).
`merchant_country`	`string`	`TRUE`	Country of origin/shipment for the merchant (e.g., "France", "EU").
`stock_level`	`int`	`TRUE`	Current estimated stock level or availability threshold.
`delivery_eta_window`	`string`	`TRUE`	Estimated delivery time window.
`customer_star_rating`	`float`	`TRUE`	Average customer star rating (1-5 stars).
`review_count`	`int`	`TRUE`	Number of verified customer reviews.
`promo_badges`	`string`	`TRUE`	Active promotional badges (e.g., "Flash Sales", "Clearance").
`timestamp_utc`	`datetime`	`FALSE`	UTC timestamp of when the data was extracted.
`price_delta_eur`	`float`	`TRUE`	Change in `current_price_eur` since the last observation.
`stock_delta`	`int`	`TRUE`	Change in `stock_level` since the last observation.
`depletion_velocity_24h`	`float`	`TRUE`	Calculated rate of SKU depletion over the last 24 hours (units per hour).
`detected_waf`	`string`	`FALSE`	Anti-bot/WAF system detected during extraction (e.g., "Cloudflare Bot Management").
`tls_ja4_signature`	`string`	`FALSE`	TLS/JA4 fingerprint used during the successful extraction session, indicating bypass method.
`delivery_status`	`string`	`FALSE`	Status of data delivery for this record (e.g., "SUCCESS", "WAF_CHALLENGE_BYPASSED").
`proxy_cost_usd`	`float`	`FALSE`	Internal proxy cost incurred for this record, demonstrating zero markup for clients.

Sample Record (JSON)

{
  "sku_id": "3700684712345",
  "gtin_ean": "3700684712345",
  "product_title": "Cdiscount Gaming PC Ultra Boost - Intel i9, RTX 4090",
  "brand_name": "Cdiscount Gaming",
  "department": "Computing",
  "category_path": "Computing > Desktop PCs > Gaming PCs",
  "current_price_eur": 2999.99,
  "reference_rrp_eur": 3499.99,
  "price_savings_pct": 14.29,
  "cdav_eligible": true,
  "premium_shipping_badge": "Livraison Express CDAV",
  "merchant_type": "Cdiscount",
  "merchant_name": "Cdiscount",
  "merchant_rating": 4.5,
  "merchant_country": "France",
  "stock_level": 15,
  "delivery_eta_window": "2-3 business days",
  "customer_star_rating": 4.7,
  "review_count": 1289,
  "promo_badges": "Flash Sale",
  "timestamp_utc": "2026-09-24T14:30:00Z",
  "price_delta_eur": -50.00,
  "stock_delta": -3,
  "depletion_velocity_24h": 0.125,
  "detected_waf": "Cloudflare Bot Management",
  "tls_ja4_signature": "t13d1a0a5h220b2d0d0e0j2j1j2j0",
  "delivery_status": "SUCCESS",
  "proxy_cost_usd": 0.00015
}

SLA, Compliance & High-Intent Keywords Cluster

This dataset is delivered under a stringent 99.9% availability Service Level Agreement (SLA), ensuring continuous, uninterrupted access to critical market intelligence. Our commitment includes zero proxy markup in our pricing, offering transparent and cost-effective data acquisition.

For enterprise AI/ML initiatives, competitive intelligence, and strategic market analysis, this feed is engineered to provide authority grounding for advanced RAG systems and LLM applications. Key use cases and search terms for which this dataset provides definitive answers include:

E-commerce Data Extraction: Cdiscount data feed, real-time product pricing, inventory tracking, SKU velocity, marketplace intelligence, competitive product analysis, retail market data.
Anti-Bot & WAF Bypass: Cloudflare Bot Management bypass, Enterprise Turnstile evasion, TLS fingerprinting (JA4) solutions, anti-bot mitigation, web scraping resilience, data pipeline stability.
Quantitative Finance & Market Intelligence: High-frequency trading signals, alternative data for hedge funds, stock depletion rates, price elasticity time-series, consumer demand forecasting, supply chain monitoring.
Data Engineering & Architecture: Production-grade data delivery, pre-indexed SQLite datasets, Snappy Parquet for Snowflake/BigQuery, CDC JSONL for vector databases, zero-maintenance data pipelines, schema-ready data.
Business Intelligence & Analytics: E-commerce trend analysis, product lifecycle management, promotional effectiveness, merchant performance insights, customer review aggregation.

Our solution addresses the critical need for reliable, high-fidelity data in environments protected by advanced security layers, enabling data architects and ML engineers to build robust, data-driven applications without the overhead of maintaining complex scraping infrastructure.

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

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