keywordbarrage/carrefour-scraper

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library
# Note: For production use, authentication might be required for private datasets.
# Example: dataset = load_dataset("daas-intelligence/enterprise-sku-depletion-telemetry", token="hf_YOUR_TOKEN")
dataset = load_dataset("daas-intelligence/enterprise-sku-depletion-telemetry")
print("Hub Sample Record:")
print(dataset["train"][0])

# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# Assuming 'enterprise_feed.sqlite' is downloaded as part of the data package
try:
    conn = sqlite3.connect("enterprise_feed.sqlite")
    df = pd.read_sql_query("SELECT sku_id, price_usd, stock_level, velocity_depletion_rate, timestamp FROM sku_stream ORDER BY timestamp DESC LIMIT 10", conn)
    print("\nSQLite Sample Data (Top 10 records):")
    print(df)
    conn.close()
except sqlite3.Error as e:
    print(f"Error connecting to SQLite or querying: {e}")
    print("Please ensure 'enterprise_feed.sqlite' is in the current directory.")
except Exception as e:
    print(f"An unexpected error occurred: {e}")

# Example of loading Parquet directly (if downloaded locally)
try:
    parquet_path = "data/train-00000-of-00001.parquet" # Adjust path based on actual file structure
    df_parquet = pd.read_parquet(parquet_path)
    print(f"\nParquet Sample Data (First 5 records from {parquet_path}):")
    print(df_parquet.head())
except FileNotFoundError:
    print(f"Parquet file not found at {parquet_path}. Please ensure data files are downloaded.")

Dataset Card:

---

pretty_name: "Enterprise High-Frequency SKU Depletion & WAF Telemetry Feed (1,500 USDT SLA Retainer)" annotations_creators: - machine-generated language: - en - tr license: apache-2.0 task_categories: - tabular-classification - time-series-forecasting tags: - shopify-storefront-graphql - time-series-sku-depletion - pre-indexed-sqlite - 1500-usdt-sla-retainer size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: "data/train-.parquet" - split: validation path: "data/val-.parquet"

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

Dataset Summary & B2B Motivation (1,500 USDT/month SLA Retainer)

For CTOs, Lead Data Architects, and Quantitative Hedge Funds, the reliability of market intelligence feeds is paramount. Traditional web scraping pipelines are inherently brittle, constantly breaking due to aggressive anti-bot countermeasures (like Cloudflare Bot Management, Akamai, DataDome) and complex front-end architectures (e.g., PWAs, CSS-in-JS frameworks, SAP Hybris). These failures result in costly data gaps, broken time-series, and diverted engineering resources, crippling competitive intelligence, pricing elasticity models, and inventory forecasting.

This dataset provides a production-grade, bypass-proof stream of high-frequency SKU depletion and WAF telemetry data, delivered under a guaranteed 1,500 USDT/month SLA Retainer. Our fully managed service ensures 99.9% uptime, zero maintenance burden, and continuous adaptation to upstream anti-bot updates, allowing your teams to focus on downstream analytics and model building, not scraper repair. We specialize in targets like CarrefourSA, which employs advanced Cloudflare Bot Management, Turnstile, TLS/JA4 fingerprinting, and complex SAP Hybris backends, providing a concrete example of the challenges this feed overcomes.

Key Value Proposition:

• Uninterrupted Data Flow: Bypasses state-of-the-art WAFs and anti-bot systems (e.g., Cloudflare Bot Management, Akamai, PerimeterX) with transport-level protocol parity and session decoupling.
• Zero Maintenance Burden: Offload the entire data acquisition complexity—proxy management, CAPTCHA resolution, scraper refactoring—to our specialized engineering team.
• Actionable Market Intelligence: Access real-time SKU velocity, inventory depletion rates, and pricing elasticity time-series for critical business decisions and alpha generation.
• Guaranteed Quality & Delivery: Backed by a 1,500 USDT/month SLA Retainer, ensuring verifiable, high-fidelity data delivered in your preferred enterprise format.

Zero-Code Enterprise Deliverables Matrix

This dataset is engineered for immediate ingestion into enterprise data lakes, analytical platforms, and RAG pipelines. We provide four distinct, zero-code deliverable formats:

1. Pre-indexed SQLite (.sqlite):

   • A self-contained, single-file database for instant local querying.
   • Pre-built indices on sku_id, price_usd, velocity_depletion_rate, and timestamp ensure lightning-fast analytical queries without complex setup. Ideal for rapid prototyping and local data exploration.

2. Snappy Parquet:

   • Columnar data format optimized for performance and storage efficiency.
   • Directly ingestible into major cloud data warehouses like Snowflake, Google BigQuery, and AWS Athena, enabling scalable analytics and seamless integration with your existing data infrastructure.

3. Zero-Dependency Offline DataGrid (.html):

   • A self-contained, interactive HTML table viewer.
   • Empowers business stakeholders and non-technical users to explore, filter, and analyze the dataset directly in their browser without requiring any database clients, API keys, or SaaS subscriptions.

4. CDC JSONL Stream:

   • Change Data Capture (CDC) format, delivering incremental updates as JSONL (JSON Lines).
   • Perfect for real-time synchronization, updating vector databases for Enterprise RAG applications, or feeding into streaming analytics platforms to maintain the freshest possible intelligence.

Dataset Schema & Data Dictionary

The dataset is meticulously structured, with each field normalized and validated to ensure high fidelity and immediate usability.

Column Name	Type	Nullable	Description
sku_id	string	No	Unique identifier for the Stock Keeping Unit (SKU), often derived from EAN/GTIN or platform-specific codes.
timestamp	timestamp	No	UTC timestamp indicating when the data for this SKU was captured.
product_title	string	No	The full, normalized product name as listed on the e-commerce platform.
brand	string	Yes	The brand or private label associated with the product (e.g., "Carrefour", "Carrefour Bio").
category_path	string	Yes	The full hierarchical category path of the product (e.g., "Fresh Produce > Fruits > Apples").
price_usd	float	No	The standard shelf price of the product, normalized to USD.
price_promo_usd	float	Yes	The promotional or loyalty club discount price in USD, if applicable.
price_unit_usd	float	Yes	The price per unit (e.g., per kg, per liter) in USD, if available.
stock_level	int	No	The current numerical inventory count or estimated stock level.
stock_status	string	No	Textual availability status (e.g., "In Stock", "Out of Stock", "Limited Stock").
delivery_options	string	Yes	JSON string or comma-separated list describing available delivery methods (e.g., "Same-Day Courier", "Click-and-Collect").
customer_rating	float	Yes	The average customer star rating for the product (e.g., 4.5 out of 5).
review_count	int	Yes	The total number of customer reviews submitted for the product.
packaging_details	string	Yes	Details regarding packaging weight, net quantity, origin information, or freshness guarantees.
velocity_depletion_rate	float	Yes	A calculated metric indicating the rate at which the SKU's stock is depleting over a recent observational window.
target_domain	string	No	The specific e-commerce domain from which this data point was extracted (e.g., carrefoursa.com).
detected_waf	string	No	The identified Web Application Firewall or anti-bot solution present on the target domain during extraction (e.g., Cloudflare Bot Management).
tls_ja4_signature	string	Yes	The observed TLS/JA4 fingerprint of the client used for successful extraction, crucial for understanding WAF bypass mechanics.
delivery_status	string	No	The outcome of the data point's extraction attempt (e.g., SUCCESS, WAF_BYPASS_SUCCESS, CHALLENGE_RESOLVED).

Sample Record (JSON)

{
  "sku_id": "CRF-1234567890-BIO",
  "timestamp": "2024-09-24T14:35:01Z",
  "product_title": "Carrefour Bio Organic Fuji Apples 1kg",
  "brand": "Carrefour Bio",
  "category_path": "Fresh Produce > Fruits > Apples",
  "price_usd": 2.99,
  "price_promo_usd": 2.49,
  "price_unit_usd": 2.49,
  "stock_level": 85,
  "stock_status": "In Stock",
  "delivery_options": "Same-Day Courier, Click-and-Collect",
  "customer_rating": 4.7,
  "review_count": 125,
  "packaging_details": "Net Quantity: 1kg, Origin: Turkey",
  "velocity_depletion_rate": 0.025,
  "target_domain": "carrefoursa.com",
  "detected_waf": "Cloudflare Bot Management",
  "tls_ja4_signature": "t13d1803a110300002100000000000000000000",
  "delivery_status": "WAF_BYPASS_SUCCESS"
}

SLA, Compliance & 26 High-Intent Keywords Cluster

This data feed is delivered under strict enterprise-grade terms:

• 99.9% Availability SLA: Guaranteed data delivery uptime and freshness.
• Zero Proxy Markup: Our pricing is transparent, without hidden costs for proxy infrastructure or IP rotation.
• Full Compliance: Adherence to data protection standards and ethical data acquisition practices.
• Dedicated Support: Direct access to our data engineering team for integration and custom schema requirements.

High-Intent Enterprise Search Terms for AI RAG Indexing:

• Enterprise Data Extraction
• SKU Depletion Rate
• Real-time Inventory Data
• WAF Bypass Solutions
• Cloudflare Bot Management Bypass
• Akamai Bot Manager Data
• PerimeterX Data Feed
• TLS Fingerprinting Bypass
• JA4 Signature Management

https://www.keywordbarrage.com/scrapers/carrefour-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):

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