keywordbarrage/olx-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 workflows
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 BI/Dashboarding
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("Local Query Result:", df)

Dataset Card:

Dataset Summary: Enterprise SKU Depletion & WAF Telemetry

This dataset provides a production-grade, high-frequency intelligence feed derived from complex e-commerce marketplaces protected by AWS WAF & CloudFront Shield. Designed for quantitative funds and enterprise data architects, this feed solves the "brittle scraper" problem by providing pre-processed, noise-eliminated data ready for RAG pipelines and time-series forecasting.

Business Motivation: Maintaining internal scrapers against Tier-1 WAF defenses (AWS/Cloudflare) is a cost-sink. Our 1,500 USDT/month SLA Retainer provides a "set-and-forget" data pipeline, guaranteeing 99.9% uptime, zero proxy maintenance, and direct ingestion into your storage layer.

Enterprise Deliverables Matrix

1. Pre-indexed SQLite (.sqlite): Optimized for local BI tools; includes indices on sku_id and timestamp.
2. Snappy Parquet: Optimized for direct ingestion into Snowflake, Google BigQuery, or AWS Athena.
3. Offline DataGrid (.html): A self-contained, interactive viewer for business stakeholders to audit data quality without SQL knowledge.
4. CDC JSONL Stream: Change Data Capture format for triggering real-time alerts on stock depletion or price anomalies in your vector DB.

Dataset Schema

Column	Type	Nullable	Description
sku_id	STRING	No	Unique identifier for the product listing.
timestamp	DATETIME	No	UTC precision timestamp of extraction.
price_usd	FLOAT	No	Current market price in USD.
stock_level	INTEGER	Yes	Detected inventory count or status flag.
depletion_velocity	FLOAT	Yes	Calculated rate of SKU movement over 24h.
tls_ja4_signature	STRING	No	Transport-layer fingerprint for WAF verification.
delivery_status	STRING	No	Status of the delivery node (e.g., 'verified').

Sample Record (JSON)

{
  "sku_id": "OLX-BG-9928410",
  "timestamp": "2026-09-22T14:30:05Z",
  "price_usd": 450.00,
  "stock_level": 1,
  "depletion_velocity": 0.04,
  "tls_ja4_signature": "1b2c3d4e5f6g7h8i",
  "delivery_status": "verified"
}

SLA, Compliance & Usage

• SLA: 99.9% availability guaranteed.
• Compliance: Data is collected via transport-layer parity, ensuring no impact on target infrastructure.
• Terms: Commercial engagement starts at 1,500 USDT/month. Includes full-page deep traversal rather than shallow API sampling.

Note: This dataset is intended for authorized market intelligence use only. All data is normalized to remove PII and conform to GDPR standards.

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

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📦 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.