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Rival Footwear Tech & Materials Data

Track rival footwear technology, materials, performance metrics, pricing, and stock status across athletic brands

Nike
adidas
Puma
+ more sources
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8+ Sources monitored
8+ Data fields extracted
Daily Update cadence

What rival footwear sources do we read?

Radar reads 8+ sources, including Nike, adidas, Puma, Under Armour, and New Balance. It captures footwear technology specifications, material updates, performance metrics, price, and stock status from brand research and development pages and patent databases.

Nike adidas Puma Under Armour New Balance
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What rival footwear data does it find?

Each row has Source, Product, Category, Technology, Materials, PerformanceMetric, Price, and Stock Status. Brand and product columns identify the item, while the remaining columns describe its technical claims, materials, market price, and availability.

Source Product Category Technology Materials PerformanceMetric Price Stock Status
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Alerts and delivery.

Changes land where your team already works, the same morning they appear.

When do we get rival footwear alerts?

One enabled alert rule watches competitor technology and performance metrics. It sends a notification when those values change, based on the tracked footwear pages and patent database records.

View alert setup →

Where does rival footwear data go?

Extracted data is delivered through API, Google Sheets, Snowflake, and Email. Radar sends the structured dataset to these destinations, and the page also has 12 widgets for data visualization.

API Google Sheets Snowflake Email

Frequently asked questions

Is Jsonify just a web scraping tool?
No. Jsonify delivers structured market intelligence, not raw HTML. The platform extracts, normalizes, and analyzes public web and app data to produce clean, typed datasets ready for analysis.
How often is the data updated?
It depends on the monitoring workflow. Most use cases refresh daily or weekly, and alerts can fire within minutes of a change being detected.
What sources are covered for this use case?
Sources include Nike, adidas, Puma, Under Armour, and New Balance, across 8+ tracked sources. Radar also reads brand research and development pages and patent databases.
Where does the extracted data go?
The extracted data goes to API, Google Sheets, Snowflake, and Email. Radar delivers it as a structured dataset.
Can I customize which data fields are extracted?
Yes. Every Jsonify deployment is configured to your requirements. You define which signals, fields, and geographies matter, and the pipeline is built around those.

Ready to monitor this data?

Set up your own monitoring pipeline in minutes. No code required.