E-Commerce Pricing Dataset: 57 Electronics Brands JSON by Julio AragozaE-Commerce Pricing Dataset: 57 Electronics Brands JSON | Contra

Overview

This dataset provides a highly structured, hallucination-free JSON snapshot of current product pricing across 57 top-tier consumer electronics Shopify stores (including Nomad, Spigen, Skullcandy, Anker, and more).
Designed specifically for AI ingest, predictive pricing models, and market intelligence analysis.

Dataset Specifications

Format: .JSON
Total Stores: 57
Data Types Enforced: Prices as Float, Booleans for is_on_sale, Dates in ISO 8601.
Null Handling: Handled natively (no empty strings).
Scrape Date: Most recent Friday.

Included Data Nodes

For every product, the following keys are verified:
product_id (String)
title (String)
vendor (String)
product_type (String)
price_usd (Float)
compare_at_price_usd (Float or Null)
is_on_sale (Boolean)
published_at (String - Date)

Delivery Tiers

If you select the Premium/Tier 2 option, you will receive the .json dataset AND the verified Python extraction script used to generate it, including delay logic to prevent IP bans.
Fully machine-readable. Ready for immediate dataframe import.
Get it for$49.00
Tier 1: The Snapshot
$49.00
Just the .json file. Perfect for one-off market analysis tasks.
Tags
JSON PowerDB
Python
Machine Learning
e-commerce data
JSON Dataset
Product created by
$1k+
Earned
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Paid projects
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Rating
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Julio's other products
Vector to 3D
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Get it for$49.00
Tier 1: The Snapshot
$49.00
Just the .json file. Perfect for one-off market analysis tasks.
Tags
JSON PowerDB
Python
Machine Learning
e-commerce data
JSON Dataset

Overview

This dataset provides a highly structured, hallucination-free JSON snapshot of current product pricing across 57 top-tier consumer electronics Shopify stores (including Nomad, Spigen, Skullcandy, Anker, and more).
Designed specifically for AI ingest, predictive pricing models, and market intelligence analysis.

Dataset Specifications

Format: .JSON
Total Stores: 57
Data Types Enforced: Prices as Float, Booleans for is_on_sale, Dates in ISO 8601.
Null Handling: Handled natively (no empty strings).
Scrape Date: Most recent Friday.

Included Data Nodes

For every product, the following keys are verified:
product_id (String)
title (String)
vendor (String)
product_type (String)
price_usd (Float)
compare_at_price_usd (Float or Null)
is_on_sale (Boolean)
published_at (String - Date)

Delivery Tiers

If you select the Premium/Tier 2 option, you will receive the .json dataset AND the verified Python extraction script used to generate it, including delay logic to prevent IP bans.
Fully machine-readable. Ready for immediate dataframe import.
Julio's other products
Vector to 3D
$50.00
Welf - Framer template
$120.00
$49.00
Buy