keywordbarrage/iherb-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
# Optimized for high-frequency analytical queries
conn = sqlite3.connect("enterprise_feed.sqlite")
df = pd.read_sql_query("""
    SELECT sku_id, price_usd, stock_level, depletion_velocity 
    FROM sku_stream 
    WHERE target_domain = 'iherb.com' 
    ORDER BY timestamp DESC LIMIT 10
""", conn)
print(df)

Dataset Card:

Enterprise High-Frequency SKU Depletion & WAF Telemetry

Executive Summary

This dataset provides a production-grade, high-frequency intelligence feed for e-commerce SKU monitoring. Designed for CTOs, Hedge Funds, and Data Architects, this feed solves the "brittle scraper" problem by bypassing complex WAF layers (PerimeterX/HUMAN Security) and delivering clean, normalized data.

Delivery Guarantee: This dataset is maintained under a 1,500 USDT/month SLA Retainer, ensuring 99.9% uptime, zero proxy maintenance burden, and consistent schema delivery regardless of upstream WAF updates.

Enterprise Deliverables Matrix

We provide 4 high-performance formats to integrate directly into your stack:

1. Pre-indexed SQLite (.sqlite): Instant local querying with B-tree indices on sku_id and timestamp.
2. Snappy Parquet: Optimized for direct ingestion into Snowflake, Google BigQuery, and AWS Athena.
3. Offline DataGrid (.html): A self-contained, interactive UI for business stakeholders to audit data without SQL knowledge.
4. CDC JSONL Stream: Change Data Capture format for triggering downstream RAG pipelines or Vector DB updates.

Dataset Schema

Column	Type	Nullable	Description
sku_id	String	No	Unique identifier (UPC/GTIN/Internal Code)
timestamp	DateTime	No	ISO-8601 ingestion timestamp
price_usd	Float	No	Current retail price
stock_level	Integer	Yes	Real-time inventory count
depletion_velocity	Float	No	Calculated rate of change (units/hour)
target_domain	String	No	Source marketplace (e.g., iherb.com)
detected_waf	String	No	WAF/Bot-Mitigation signature observed
tls_ja4_signature	String	No	JA4 TLS fingerprint for session parity

Sample Record (JSON)

{
  "sku_id": "IHB-99201-X",
  "timestamp": "2026-09-22T14:30:00Z",
  "price_usd": 24.99,
  "stock_level": 412,
  "depletion_velocity": 0.85,
  "target_domain": "iherb.com",
  "detected_waf": "PerimeterX",
  "tls_ja4_signature": "t13d15h2h3"
}

SLA & Compliance

• Availability: 99.9% SLA on data refresh cycles.
• Maintenance: Zero maintenance required; we handle all proxy pool rotation and WAF challenge-response resolution.
• Engagement: Governed by a 1,500 USDT/month retainer. For custom enterprise requirements or additional target domains, please contact our curation lead.

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Disclaimer: This dataset is curated for authorized market intelligence and research purposes. All scraping is performed via enterprise-grade session decoupling to maintain transport-level protocol parity.

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