Food & Beverage
Track QSR digital ordering trends globally.
Gain actionable insights into emerging digital ordering trends and user experiences — effortlessly automated and always up-to-date.
SOURCES
What QSR sources do we read?
We monitor a diverse range of sources to gather insights on emerging digital ordering features and competitor tech stack implementations in the Quick Service Restaurant (QSR) sector. Our data comes from industry leaders like QSR Magazine, Restaurant Dive, Fast Casual, TechCrunch, and Google, ensuring a comprehensive view of the competitive landscape. By tracking columns such as Restaurant, Feature, and Implementation, we provide a detailed understanding of the latest innovations and user experiences.
100x faster
than manual data collection
DATASET
What QSR data does it find?
The structured dataset includes critical columns such as id, Source, Restaurant, Feature, Implementation, Mobile UX Notes, Availability, Avg Delivery Time, and Last Updated. This normalized dataset allows for easy analysis of trends in digital ordering features and mobile user experience feedback, enabling stakeholders to make informed decisions based on real-time data.
90%
faster than manual audits.
ANALYTICS
Understanding the QSR dataset
Our dashboard features 12 interactive widgets designed to provide actionable insights into the QSR market. Key visualizations include the Total Competitors Monitored metric, Emerging Feature Trends Over Time line chart, and the Competitor Tech Stack Comparison bar chart. Additionally, the Distribution of User Ratings by App Store donut chart and the Top 5 Competitor Apps by User Feedback horizontal bar chart highlight user sentiment and feature adoption.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get QSR alerts?
Stay ahead of the competition with our enabled alert rule that notifies you of significant changes in the QSR landscape. Whether it's a new feature rollout or shifts in user feedback, our system ensures you receive timely updates. With a single alert rule in place, you can focus on strategic decisions without missing crucial developments.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does QSR data go?
Our product seamlessly integrates with various platforms, including API, BigQuery, and Email, to streamline your data workflow. With these integrations, you can easily access and analyze the structured data from multiple sources, ensuring you have the insights you need at your fingertips. This capability enhances your ability to respond to emerging trends in the QSR industry effectively.
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
