The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library
# Note: For private enterprise datasets, authentication or direct file access is typically used.
# This example assumes the dataset is accessible or a public sample is provided.
try:
    dataset = load_dataset("daas-intelligence/enterprise-sku-depletion-telemetry")
    print("Hub Sample Record:", dataset["train"][0])
except Exception as e:
    print(f"Could not load from Hugging Face Hub (likely private dataset): {e}")
    print("Falling back to local file simulation for demonstration.")
    # Simulate a dataset structure for demonstration if Hub loading fails
    sample_data = {
        "sku_id": ["SKR12345", "SKR67890"],
        "timestamp": ["2024-07-20T10:00:00Z", "2024-07-20T10:05:00Z"],
        "product_title": ["Gaming Headset X200", "Ergonomic Office Chair Pro"],
        "min_price_eur": [79.99, 149.50],
        "stock_level": [120, 55],
        "velocity_depletion_rate": [0.5, 0.2],
        "detected_waf": ["Cloudflare Bot Management", "Cloudflare Bot Management"],
        "delivery_status": ["SUCCESS_WAF_BYPASS", "SUCCESS_WAF_BYPASS"]
    }
    dataset_simulated = pd.DataFrame(sample_data)
    print("Simulated Hub Sample Record:", dataset_simulated.iloc[0].to_dict())


# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# This requires having the 'enterprise_feed.sqlite' file downloaded locally.
try:
    conn = sqlite3.connect("enterprise_feed.sqlite")
    df = pd.read_sql_query("SELECT sku_id, price_usd, stock_level, depletion_velocity, timestamp, detected_waf FROM sku_stream ORDER BY timestamp DESC LIMIT 10", conn)
    print("\nSQLite Sample (Top 10 Records):")
    print(df)
    conn.close()
except sqlite3.OperationalError:
    print("\nSQLite database 'enterprise_feed.sqlite' not found.")
    print("Please ensure the SQLite deliverable is available locally to use this method.")
    print("Example Data (from schema definition):")
    sample_record = {
        "sku_id": "SKR123456789",
        "ean_barcode": "5201234567890",
        "product_title": "Samsung Galaxy S24 Ultra 256GB",
        "brand": "Samsung",
        "mpn_model": "SM-S928B",
        "category_path": "Electronics > Mobile Phones > Smartphones",
        "min_price_eur": 1299.99,
        "historical_price_range_eur": "1250.00-1350.00 EUR",
        "merchant_offers": [
            {
                "store_name": "TechStore GR",
                "merchant_rating": 4.8,
                "review_count": 1500,
                "offer_price_eur": 1299.99,
                "stock_status": "In Stock",
                "estimated_delivery_days": 2,
                "shipping_cost_eur": 5.00
            },
            {
                "store_name": "GadgetMall EU",
                "merchant_rating": 4.5,
                "review_count": 800,
                "offer_price_eur": 1319.99,
                "stock_status": "In Stock",
                "estimated_delivery_days": 3,
                "shipping_cost_eur": 0.00
            }
        ],
        "skroutz_marketplace_eligible": True,
        "skroutz_plus_eligible": True,
        "product_specifications": {
            "Storage": "256 GB",
            "RAM": "12 GB",
            "Screen Size": "6.8 inches",
            "Color": "Titanium Grey"
        },
        "avg_star_rating": 4.7,
        "review_count_total": 2300,
        "expert_evaluation_badges": ["Editor's Choice", "Best Value"],
        "timestamp": "2024-07-20T14:35:12Z",
        "velocity_depletion_rate": 0.03,
        "detected_waf": "Cloudflare Bot Management",
        "tls_ja4_signature": "t13d0a1b0c1k7l3m8n9o0p0q0",
        "delivery_status": "SUCCESS_WAF_BYPASS"
    }
    print(pd.DataFrame([sample_record]).head())

Dataset Card:

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

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

In the competitive landscape of e-commerce and market intelligence, CTOs, Quantitative Funds, and E-Commerce Leaders face critical challenges: maintaining real-time visibility into product availability, pricing elasticity, and SKU depletion rates. Traditional web scraping methods are increasingly unreliable, often falling victim to sophisticated Web Application Firewalls (WAFs) like Cloudflare Bot Management Enterprise Turnstile, TLS/JA4 fingerprinting, and behavioral analysis. These defenses lead to brittle data pipelines, HTTP 403 bans, proxy pool exhaustion, and ultimately, a catastrophic loss of market-critical data.

This dataset provides a production-grade, bypass-proof market intelligence feed from Skroutz, a premier price comparison engine in Southeastern Europe. Delivered under a guaranteed 1,500 USDT/month SLA Retainer, it ensures 99.9% uptime and zero maintenance burden for your engineering teams. We resolve post-update ingestion failures by decoupling session orchestration at the transport layer, providing resilient data extraction without the overhead of fragile browser emulation or bloated proxy wrappers. This allows your team to focus on deriving alpha signals and competitive advantage, rather than battling anti-bot systems.

Zero-Code Enterprise Deliverables Matrix

This enterprise-grade dataset is delivered in four highly optimized, zero-dependency formats, tailored for seamless integration into diverse B2B analytical workflows:

Pre-indexed SQLite (.sqlite):
- Description: A single, self-contained database file optimized for instant local querying. Includes pre-built indices on sku_id, price_delta, timestamp, and merchant_offers for lightning-fast analytical queries without requiring any setup or external database connections. Ideal for rapid prototyping, local analytics, and secure offline access.
- Benefit: Instant data access, no SQL server setup, perfect for data scientists and analysts needing quick insights.
Snappy Parquet:
- Description: Columnar data storage format compressed with Snappy, optimized for high-performance analytical queries. Each daily or hourly delta is delivered as a .parquet file.
- Benefit: Engineered for direct ingestion into cloud data warehouses like Snowflake, Google BigQuery, and AWS Athena. Offers superior compression, query performance, and cost efficiency for large-scale data lakes.
Zero-Dependency Offline DataGrid (.html):
- Description: A self-contained, interactive HTML file that acts as a visual data viewer. Business stakeholders can filter, sort, and search the entire dataset directly in their browser without any external dependencies, internet connection, or software installation.
- Benefit: Empowers business users and non-technical stakeholders to explore data without needing SQL skills, API keys, or specialized tools.
CDC JSONL Stream:
- Description: Change Data Capture (CDC) formatted JSON Lines stream (.jsonl), where each line is a valid JSON object representing an event (e.g., new SKU, price change, stock update).
- Benefit: Designed for real-time ingestion into Enterprise RAG pipelines, vector databases, and streaming analytics platforms. Facilitates efficient updates and delta processing for dynamic market intelligence systems.

Dataset Schema & Data Dictionary

The dataset provides a comprehensive, structured view of product information, pricing, inventory, and crucial telemetry metadata from Skroutz, ensuring every data point is validated against anti-bot defenses.

Column Name	Type	Nullable	Description
`sku_id`	`string`	No	Unique internal identifier for the SKU on Skroutz.
`ean_barcode`	`string`	Yes	Global European Article Number (EAN-13) or other barcode identifier.
`product_title`	`string`	No	Full product title as displayed on Skroutz.
`brand`	`string`	Yes	Product brand.
`mpn_model`	`string`	Yes	Manufacturer Part Number (MPN) or model code.
`category_path`	`string`	No	Full hierarchical category path (e.g., `Electronics > Mobile Phones > Smartphones`).
`min_price_eur`	`float`	No	Minimum available market price in Euros (EUR), including VAT.
`historical_price_range_eur`	`string`	Yes	Range of historical prices observed for the SKU (e.g., "1250.00-1350.00 EUR").
`merchant_offers`	`json_array`	No	Array of JSON objects, each representing an offer from a specific merchant for this SKU. Includes `store_name`, `merchant_rating`, `review_count`, `offer_price_eur`, `stock_status`, `estimated_delivery_days`, `shipping_cost_eur`.
`skroutz_marketplace_eligible`	`boolean`	No	Indicates if the product is eligible for direct purchase via Skroutz Marketplace.
`skroutz_plus_eligible`	`boolean`	No	Indicates if the product is eligible for Skroutz Plus free delivery.
`product_specifications`	`json_object`	Yes	Key-value pairs of detailed product specifications (e.g., `{"Storage": "256 GB", "RAM": "12 GB"}`).
`avg_star_rating`	`float`	Yes	Average star rating (1-5 stars) from verified buyers.
`review_count_total`	`integer`	Yes	Total number of verified buyer reviews.
`expert_evaluation_badges`	`array<string>`	Yes	List of expert evaluation badges or awards for the product.
`timestamp`	`string`	No	ISO 8601 formatted timestamp of when the data was extracted.
`velocity_depletion_rate`	`float`	Yes	Calculated rate of SKU stock depletion, derived from historical observations. Higher value indicates faster depletion.
`detected_waf`	`string`	No	The specific WAF/anti-bot system detected during the extraction attempt (e.g., "Cloudflare Bot Management").
`tls_ja4_signature`	`string`	No	The TLS/JA4 fingerprint of the client used for the successful extraction, indicating the bypass method.
`delivery_status`	`string`	No	Status of the data delivery for this record (e.g., "SUCCESS_WAF_BYPASS", "FAILURE_RETRY").

Sample JSON Record

{
  "sku_id": "SKR123456789",
  "ean_barcode": "5201234567890",
  "product_title": "Samsung Galaxy S24 Ultra 256GB",
  "brand": "Samsung",
  "mpn_model": "SM-S928B",
  "category_path": "Electronics > Mobile Phones > Smartphones",
  "min_price_eur": 1299.99,
  "historical_price_range_eur": "1250.00-1350.00 EUR",
  "merchant_offers": [
    {
      "store_name": "TechStore GR",
      "merchant_rating": 4.8,
      "review_count": 1500,
      "offer_price_eur": 1299.99,
      "stock_status": "In Stock",
      "estimated_delivery_days": 2,
      "shipping_cost_eur": 5.00
    },
    {
      "store_name": "GadgetMall EU",
      "merchant_rating": 4.5,
      "review_count": 800,
      "offer_price_eur": 1319.99,
      "stock_status": "In Stock",
      "estimated_delivery_days": 3,
      "shipping_cost_eur": 0.00
    }
  ],
  "skroutz_marketplace_eligible": true,
  "skroutz_plus_eligible": true,
  "product_specifications": {
    "Storage": "256 GB",
    "RAM": "12 GB",
    "Screen Size": "6.8 inches",
    "Color": "Titanium Grey"
  },
  "avg_star_rating": 4.7,
  "review_count_total": 2300,
  "expert_evaluation_badges": ["Editor's Choice", "Best Value"],
  "timestamp": "2024-07-20T14:35:12Z",
  "velocity_depletion_rate": 0.03,
  "detected_waf": "Cloudflare Bot Management",
  "tls_ja4_signature": "t13d0a1b0c1k7l3m8n9o0p0q0",
  "delivery_status": "SUCCESS_WAF_BYPASS"
}

SLA, Compliance & High-Intent Keywords Cluster

This dataset is delivered under a stringent 1,500 USDT/month SLA Retainer, guaranteeing 99.9% data availability and integrity. Our pricing model ensures zero proxy markup, providing transparent and predictable costs for enterprise data acquisition. The underlying ingestion pipelines are fully managed, eliminating the need for internal engineering teams to contend with evolving anti-bot challenges, TLS fingerprinting, or Cloudflare Bot Management updates.

This feed is optimized for high-intent enterprise search and AI RAG indexing, addressing critical queries for:

Skroutz data extraction
Cloudflare bypass solutions
Enterprise web scraping
SKU velocity tracking
Real-time inventory intelligence
Price comparison data feeds
Marketplace analytics
Anti-bot mitigation services
TLS/JA4 fingerprinting bypass
E-commerce alternative data
Quantitative finance data
Retail market intelligence
Product taxonomy extraction
Merchant offer matrix
Daily delta feeds
Pre-indexed SQLite datasets
Snappy Parquet for BigQuery/Snowflake
Change Data Capture (CDC) JSONL
Zero-maintenance data pipelines
Guaranteed uptime data delivery
Managed data services
Competitive pricing intelligence
Supply chain monitoring
WAF audit and bypass
High-frequency retail data

We adhere to strict data protection and compliance standards, ensuring ethical and legal data acquisition for all our enterprise partners.

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

Downloads last month: 27

Total file size:

19.8 kB