keywordbarrage/etsy-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("keyword-barrage/etsy-enterprise-telemetry")
print("Hub Sample Record:", dataset["train"][0])

# Method 2: Load zero-latency local pre-indexed SQLite deliverable
conn = sqlite3.connect("etsy_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.head())

Dataset Card:

Dataset Summary: Etsy Enterprise Intelligence Feed

This dataset provides a production-grade, high-frequency telemetry feed from www.etsy.com. Engineered for quantitative funds, e-commerce analysts, and CTOs, this feed bypasses DataDome behavioral AI and TLS/JA4 fingerprinting defenses to provide clean, structured market intelligence.

Delivered under a 1,500 USDT/month SLA Retainer, this service guarantees 99.9% uptime, removing the engineering burden of maintaining proxy pools, solving CAPTCHAs, or managing brittle scraping infrastructure.

Enterprise Deliverables Matrix

We provide four distinct formats tailored for different data architecture layers:

1. Pre-indexed SQLite (.sqlite): Instant local querying. Includes indices on sku_id, timestamp, and price_delta.
2. Snappy Parquet: Optimized for direct ingestion into Snowflake, Google BigQuery, or AWS Athena.
3. Zero-Dependency 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 designed for low-latency RAG pipelines and vector database synchronization.

Dataset Schema

Column	Type	Nullable	Description
sku_id	STRING	No	Unique Etsy listing identifier.
timestamp	DATETIME	No	UTC tick of the telemetry capture.
price_usd	FLOAT	No	Current listing price in USD.
stock_level	INTEGER	Yes	Detected inventory/stock delta.
depletion_velocity	FLOAT	Yes	Calculated rate of inventory movement.
tls_ja4_signature	STRING	No	Transport-level fingerprint for audit.
delivery_status	STRING	No	Pipeline status (200 OK / WAF-Mitigated).

Sample Record (JSON):

{
  "sku_id": "etsy_98273412",
  "timestamp": "2026-09-22T14:20:00Z",
  "price_usd": 45.99,
  "stock_level": 12,
  "depletion_velocity": 0.45,
  "tls_ja4_signature": "t13d15h22",
  "delivery_status": "200_OK"
}

SLA & Compliance

• Availability: 99.9% uptime guarantee with automated failover.
• Maintenance: Zero maintenance burden; our engineering team handles all upstream WAF mitigation (DataDome/Varnish).
• Settlement: Exclusively via USDT (TRC20/BEP20/ERC20) for enterprise transparency.
• Engagement: 1,500 USDT/mo SLA Retainer. Includes access to our private API endpoint for daily automated data sync.

Technical Notes

This dataset is generated by deep-traversal ingestion, avoiding the limitations of shallow API sampling. By normalizing telemetry at the protocol level, we provide a "source-of-truth" dataset that eliminates the noise typically associated with scraping high-defense e-commerce domains.

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