keywordbarrage/hepsiburada-scraper

Python Code:

import sqlite3
from datasets import load_dataset
import pandas as pd

# Method 1: Load via Hugging Face datasets library for cloud-native analysis
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 for quantitative local query
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:

Dataset Summary

This repository contains an open 1,000-row verified benchmark sample of the Hepsiburada SKU depletion and WAF telemetry feed. It is engineered for quantitative market intelligence research, providing structured, high-frequency data that bypasses common edge-defense hurdles such as Akamai Bot Manager and TLS/JA4 fingerprinting. This feed is intended for data engineering teams and hedge funds requiring 99.9% pipeline availability and deterministic schema parity.

Enterprise Deliverables Matrix

We provide this data in four production-ready formats to facilitate seamless integration into existing quantitative research stacks:

• Pre-indexed SQLite (.sqlite): Optimized for local querying with pre-built indices on sku_id and timestamp.
• Snappy Parquet: Optimized for direct ingestion into Snowflake, Google BigQuery, and AWS Athena.
• Zero-Dependency Offline DataGrid (.html): A self-contained, interactive table for rapid stakeholder visualization.
• CDC JSONL Stream: Change Data Capture format for real-time RAG pipelines and vector database synchronization.

Dataset Schema

Column	Type	Nullable	Description
sku_id	STRING	No	Unique Hepsiburada product identifier (HBV code).
timestamp	DATETIME	No	UTC-normalized observation time.
price_usd	FLOAT	No	Normalized price in USD (converted from TRY).
stock_level	INTEGER	Yes	Detected inventory count or status indicator.
velocity_depletion	FLOAT	Yes	Calculated SKU velocity over 24h window.
tls_ja4_signature	STRING	No	Observed TLS fingerprint from the edge node.
delivery_status	BOOLEAN	No	1 if HepsiJet fulfillment is active, 0 otherwise.

Sample Record (JSON):

{
  "sku_id": "HBV00001XXXXX",
  "timestamp": "2026-09-24T14:30:00Z",
  "price_usd": 124.99,
  "stock_level": 42,
  "velocity_depletion": 0.15,
  "tls_ja4_signature": "i130200_a30000_123456",
  "delivery_status": true
}

Commercial & SLA Terms

This dataset represents a sample of our enterprise-grade extraction services. Full-scale production feeds are governed by a monthly service level agreement (SLA) ensuring 99.9% uptime, dedicated proxy rotation, and priority pipeline maintenance.

• SLA Retainer: Our enterprise engagement provides managed, daily-delta feeds, eliminating the technical debt of maintaining internal scraper infrastructure.
• Pay-on-Delivery: We provide a verified, schema-consistent sample prior to any commercial commitment.
• Compliance: Our extraction protocols operate with strict adherence to data privacy standards, focusing exclusively on public-facing marketplace intelligence.

Note: This repository is intended for scientific research and quantitative data engineering evaluation.