Food & Beverage
Real-Time Coffee Competitor Data
Gain real-time insights on competitor pricing and promotions — automated data collection that outpaces manual research.
SOURCES
What coffee competitor sources do we read?
Our monitoring solution tracks competitor pricing and promotional details from leading coffee chains and quick-service restaurants, including Starbucks, Costa Coffee, Caffè Nero, Pret, and Patisserie Valerie. By analyzing data from these 12 sources, we ensure you have access to the most current and comprehensive insights on product offerings and pricing strategies in the coffee market.
100x faster
than manual data collection
DATASET
What coffee competitor data does it find?
The structured dataset includes key columns such as Product, Price, Original Price, Stock Status, and Promotional details. This normalized dataset allows for a clear understanding of how competitors are positioning their products and pricing, enabling you to make informed decisions based on real-time data.
90%
faster than manual audits.
ANALYTICS
Understanding the coffee competitor dataset
Our dashboard features 12 insightful widgets, including a Total Products Tracked metric, a Market Share by Competitor pie chart, and an Average Pricing Trends line graph covering the last three months. Additionally, the Current Promotions by Competitor table and Price Comparison for Key Products bar chart provide actionable insights into competitor strategies and market dynamics.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get coffee competitor alerts?
Stay informed with our enabled alert rules, which notify you of significant changes in competitor pricing and promotions. With a single alert rule set up, you can ensure that you never miss critical updates that could impact your business strategy.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does coffee competitor data go?
Our monitoring solution seamlessly integrates with various platforms, including API, BigQuery, and Email, allowing you to easily access and utilize competitor data. With these integrations, you can streamline your data workflows and enhance your analytical capabilities.
100+
SERVICES TO CONNECT
INITIAL DEPLOYMENT
Limited-scope pilot
You can get started with free test data instantly!
Exact pilot scope and pricing depends on the geographic ranges and data breadth.
Most teams land around €3,000/month for these scoped deployments.
"Jsonify has saved us thousands of hours of manual data collection. The core AI data platform is powerful and versatile, automating nearly every process we need."
Cole Gottdank
Co-Founder, Helicone, YC W23
FAQ
Is Jsonify just a web scraping tool?
No. Jsonify is a market intelligence platform that collects publicly available web data and then processes, normalizes, and analyzes it to produce structured insights. While Jsonify uses automated agents to access public webpages and documents, the core value of the platform lies in what happens after collection: extracting structured product and price data, matching it to real SKUs, tracking changes over time, and delivering analytics through dashboards, exports, and APIs. Jsonify does not simply retrieve raw webpages. It transforms publicly accessible information into actionable intelligence for business use, under customer-defined instructions and compliance controls.
What kind of data can Jsonify collect?
Jsonify collects publicly available product and market data from the web, such as product listings, prices, availability signals, menus, catalogs, and related commercial information. This includes data from retailers, ecommerce sites, marketplaces, venues, and other public sources relevant to market visibility and competitive analysis.
How does Jsonify turn raw web data into something usable?
After collecting data, Jsonify extracts structured information, normalizes inconsistent naming, and matches it to real products or SKUs. The platform then aggregates and analyzes this data over time, making it usable through dashboards, charts, exports, or APIs — rather than leaving you with raw pages or unstructured text.
What makes Jsonify different from basic scraping or monitoring tools?
Most tools either collect raw data or monitor individual pages. Jsonify goes further by operating at scale across many sources, handling messy real-world data, matching it to product catalogs, and delivering analytics that answer business questions like coverage, pricing, and competitive presence — not just “what changed on a page.”
What kinds of use cases does Jsonify support?
Jsonify is used for market visibility and competitive intelligence use cases such as tracking product presence, pricing, and availability across markets; monitoring launches and distribution gaps; benchmarking competitors; and understanding how products are represented across channels and geographies.
How do teams actually use the outputs?
Teams use Jsonify through interactive dashboards in Jsonify Studio, scheduled exports (CSV or Excel), or APIs that feed internal BI tools and workflows. This allows insights to be shared across trade marketing, sales, category management, ecommerce, and analytics teams.
How quickly can Jsonify be set up?
Jsonify does not rely on rigid templates or manual page configuration. Once target sources and products are defined, data collection and analysis can begin quickly, with initial results often available in days rather than months. Coverage and update frequency can then be expanded over time.
USECASES
