Competitor Retail Data Feed

Goal

I want to get continuous, structured, granular product feature, pricing, and promotional data from all major global and regional competitor grocery and retail e-commerce websites.

Source coverage

• amazon.de
• real.de
• rewe.de
• kaufland.de
• otto.de
• dm.de
• aldi.de
• lidldeutschland.de
• mydealz.de
• idealo.de
• groceryshop.de
• efood24.de

Sample data

Illustrative sample data from the original configuration, not live or verified results.

Insights and analytics

• Total Products Tracked (metric)
• Market Share by Competitor (pie)
• Average Price Trend (Last 6 Months) (line)
• Top 5 Competitors by Pricing Strategy (bar)
• Promotional Activity Distribution (donut)
• Current Promotions by Retailer (table)
• Best-Selling Products Across Competitors (horizontal_bar)
• Price Changes Over Time for Key Products (area)
• Recent Additions to Product Catalog (table)
• Price Drop Frequency by Competitor (line)
• Key Pricing Insights and Trends (insights)
• Average Discount Rate (metric)

Change notifications

• Price Change Detected — is now €2.49 (+€0.50) rewe.de
• New Listing Appears — now available dm.de
• Product Unavailable — is out of stock kaufland.de
• Coverage Gap Found — missing from catalog aldi.de
• Product Removed — is no longer listed otto.de

Integrations and delivery

• api
• bigquery
• s3
• email

Make this your own

Start with this goal in Jsonify, then choose the sources and data you need.