keywordbarrage/emag-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("daas-intelligence/enterprise-sku-depletion-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:

---

pretty_name: "eMAG 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: - emag-marketplace - e-commerce-data - sku-depletion-rate - aws-waf-bypass - time-series-forecasting - 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"

eMAG Enterprise High-Frequency SKU Depletion & WAF Telemetry Feed

Dataset Summary & B2B Motivation

This repository contains a 1,000-row verified sample of the eMAG SKU depletion and WAF telemetry feed. Full high-frequency real-time stream is delivered via our enterprise 1,500 USDT/mo SLA pipeline.

For CTOs, Hedge Funds, and E-Commerce Leaders, maintaining consistent, high-fidelity data pipelines from dynamic e-commerce marketplaces like eMAG is a constant battle. Brittle web scrapers, rapidly evolving anti-bot defenses (AWS WAF, CloudFront Shield, Google reCAPTCHA Enterprise), and sophisticated TLS/JA4 fingerprinting render internal data collection efforts unsustainable and costly. Broken proxy pools and frequent schema changes destroy pipeline reliability, leading to critical blind spots in market intelligence and competitive analysis.

This dataset solves that. We provide a fully managed, zero-maintenance data feed, delivering verified eMAG product, pricing, and stock data under a guaranteed 1,500 USDT/month SLA Retainer. Our pipelines ensure 99.9% uptime, bypass all known AWS WAF and anti-bot challenges, and deliver clean, structured data directly to your systems, eliminating your operational burden. Focus on deriving insights, not on unblocking firewalls.

Zero-Code Enterprise Deliverables Matrix

Our enterprise data feeds are engineered for immediate integration into B2B workflows, offering four distinct, production-grade formats:

• Pre-indexed SQLite (.sqlite): Instant local querying with pre-built indices on sku_id, price_delta, and timestamp. Ideal for rapid prototyping, local analytics, and direct application integration without requiring a database server.
• Snappy Parquet: Optimized for efficient ingestion into modern data lakes and warehouses such as Snowflake, Google BigQuery, and AWS Athena. Columnar storage ensures maximum query performance and compression.
• Zero-Dependency Offline DataGrid (.html): A self-contained, interactive HTML table viewer for business stakeholders. Requires no internet connection, no SQL knowledge, and no API keys, enabling intuitive data exploration by non-technical users.
• CDC JSONL Stream: Change Data Capture (CDC) format for real-time updates. Perfect for feeding Enterprise RAG pipelines, updating vector databases, or powering event-driven architectures where incremental data is critical.

Dataset Schema & Data Dictionary

The enterprise-sku-depletion-and-waf-telemetry dataset provides comprehensive structured data points extracted from eMAG, including crucial telemetry regarding WAF and anti-bot bypass mechanisms.

Column Name	Type	Nullable	Description
sku_id	STRING	NO	Unique product identifier (e.g., eMAG product code, MPN).
timestamp	TIMESTAMP	NO	UTC timestamp of when the data record was extracted.
product_title	STRING	NO	Full title of the product as listed on eMAG.
brand	STRING	YES	Product brand or manufacturer.
ean_barcode	STRING	YES	European Article Number (EAN-13) barcode for the product.
category_hierarchy	STRING	YES	Full category path (e.g., "Electronics > Laptops > Gaming Laptops").
price_ron	FLOAT	YES	Current retail price in Romanian Lei (RON), including VAT.
price_huf	FLOAT	YES	Current retail price in Hungarian Forint (HUF), including VAT.
price_bgn	FLOAT	YES	Current retail price in Bulgarian Lev (BGN), including VAT.
rrp_price_ron	FLOAT	YES	Recommended Retail Price (RRP) in RON, if available.
promotional_discount_delta	FLOAT	YES	Percentage discount from RRP, if a promotion is active.
seller_type	STRING	NO	Classification of the seller: "eMAG" (first-party) or "eMAG Marketplace Partner" (third-party).
genius_member_eligible	BOOLEAN	YES	True if the product is eligible for eMAG Genius premium benefits (e.g., free delivery).
fulfillment_options	STRING	YES	Comma-separated list of available fulfillment options (e.g., "easybox, Showroom, Courier").
installment_financing_available	BOOLEAN	YES	True if eMAG Pay installment financing is available for the product.
review_rating	FLOAT	YES	Average customer review rating out of 5 stars.
total_reviews	INTEGER	YES	Total number of customer reviews.
total_q_a	INTEGER	YES	Total number of customer questions and answers.
technical_specs_json	JSON	YES	JSON object containing key-value pairs of detailed technical specifications.
stock_level	INTEGER	YES	Current stock level or availability status (e.g., 0, 1, 100, -1 for "out of stock").
depletion_velocity_rate	FLOAT	YES	Calculated rate of SKU stock depletion over a predefined period, for market intelligence.
target_domain	STRING	NO	The specific eMAG domain targeted (e.g., "emag.ro", "emag.hu", "emag.bg").
detected_waf	STRING	NO	Detected WAF/anti-bot technology encountered during extraction (e.g., "AWS WAF & CloudFront Shield").
tls_ja4_signature	STRING	YES	TLS/JA4 fingerprint of the client used for extraction, for telemetry validation and bypass analysis.
delivery_status	STRING	NO	Status of data delivery for this record (e.g., "SUCCESS", "WAF_CHALLENGE", "TIMEOUT").
country_origin_proxy	STRING	YES	Country of origin for the residential proxy used in extraction (e.g., "RO", "HU", "BG").

Sample JSON Record

{
  "sku_id": "P3456789",
  "timestamp": "2024-09-24T10:30:00Z",
  "product_title": "Laptop Gaming ASUS ROG Strix G15, Intel Core i7, 16GB RAM, 512GB SSD, NVIDIA GeForce RTX 3060",
  "brand": "ASUS",
  "ean_barcode": "4711081337420",
  "category_hierarchy": "Electronics > Laptops > Gaming Laptops",
  "price_ron": 5999.99,
  "price_huf": 480000.00,
  "price_bgn": 2450.00,
  "rrp_price_ron": 6500.00,
  "promotional_discount_delta": 7.7,
  "seller_type": "eMAG",
  "genius_member_eligible": true,
  "fulfillment_options": "easybox, Courier",
  "installment_financing_available": true,
  "review_rating": 4.7,
  "total_reviews": 125,
  "total_q_a": 18,
  "technical_specs_json": {
    "Model": "ROG Strix G15",
    "Processor": "Intel Core i7-11800H",
    "RAM": "16GB DDR4",
    "Storage": "512GB PCIe SSD",
    "GPU": "NVIDIA GeForce RTX 3060",
    "Display": "15.6 inch, Full HD, 144Hz"
  },
  "stock_level": 35,
  "depletion_velocity_rate": 0.05,
  "target_domain": "emag.ro",
  "detected_waf": "AWS WAF & CloudFront Shield",
  "tls_ja4_signature": "t13,t1007,t1008,t1009,t1010,t1011,t1012,t1013,t1014,t1015,t1016,t1017",
  "delivery_status": "SUCCESS",
  "country_origin_proxy": "RO"
}

SLA, Compliance & High-Intent Keywords Cluster

Our enterprise data delivery for eMAG is backed by a robust 99.9% availability SLA. We operate with zero proxy markup, ensuring cost-effective, high-volume data streams. Our infrastructure is designed for continuous adaptation to anti-bot challenges, guaranteeing uninterrupted data flow.

This dataset is optimized for enterprise search and RAG indexing, featuring a cluster of high-intent keywords:

1. eMAG web scraping
2. AWS WAF bypass
3. CloudFront Shield bypass
4. Google reCAPTCHA Enterprise
5. TLS/JA4 fingerprinting
6. SKU depletion rate
7. Real-time inventory

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

🔍 Technical Keywords & Architecture Tags (Click to expand)

#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.