Jsonify data agents extract structured intelligence from websites and apps — delivering alerts, benchmarks, and datasets your team can act on.
Preview how Jsonify would monitor your use case.
Runs instantly using synthetic demo data — no setup required.
Since 2023, we've extracted billions of data points for teams at
The problem
But collecting this data reliably is still mostly manual.
Prices shift across retailers, marketplaces, and direct sites — often before your team notices.
New SKUs, discontinued lines, changed specs — the catalog your team tracks last week is already out of date.
Compliance data, tariff changes, regulatory notices — scattered across portals and government sites in every market.
What we do
Jsonify automatically builds data agents that monitor websites and apps at scale — turning messy web activity into structured datasets, alerts, and benchmarks your team can act on.
What you get
Jsonify data agents continuously read competitor websites, marketplaces, and apps — turning web activity into structured intelligence your team can act on.
Real-time price monitoring
Track competitor price changes across markets and retailers — the moment they happen, not days later.
Product and catalog change detection
Detect new launches, product updates, and assortment shifts across thousands of sources automatically.
Market signal alerts and benchmarks
Get notified when competitors change positioning, promotions, or distribution — with structured data to back it up.
Retailer
Tesco UK
SKU
Bacardi Carta Blanca 700ml
Was
£15.00
Now
£12.00
3 other retailers also changed pricing in the last 24h. See benchmark →
How teams use Jsonify
Two products, two cadences. Ongoing market visibility and periodic competitive benchmarks.
Radar
Continuous visibility
Track product presence, pricing, and availability continuously across menus, retailers, and marketplaces. Updated daily. No engineering work.
Benchmark
Competitor simulation
Simulate competitor quote flows — insurance, telco, utilities — and extract personalized pricing, bundling, and offer structures at scale.
How it works
Autonomously explores public web and mobile apps — menus, retailers, marketplaces, quote flows — extracting exactly what your team needs.
{ structured output }
"sku": "BWT-700ml"
"price": 12.00
"change": -0.20
Raw data becomes clean, unified datasets — SKU-matched, entity-resolved, normalized across thousands of heterogeneous sources.
Dashboards, CSV/API exports, or direct feeds into PowerBI, Excel, Snowflake, and Slack. Ready for pricing, strategy, or compliance decisions.
Built for real-world scale
98.7%
extraction accuracy
10M+
rows processed monthly
90%
faster than manual research
Example deployments
Food & Beverage
118
Geographies
100M+
Venues extracted
Tracking product placement, pricing, and brand presence across bars, restaurants, and delivery apps worldwide.
Explore F&B solution →Insurance
8
Countries
40+
Carriers
200+
Personas
Simulates full quote journeys per customer profile — premium, excess, and bundling details extracted and structured.
Explore Insurance solution →Automotive
19
Countries
9
Brands
1M+
Datapoints
AI agents navigate tens of thousands of pricing scenarios across durations and seasons — updated automatically.
Explore Automotive data →Real Estate
1
Country, all portals
500k+
Listings tracked
Every active sales and rental listing captured daily — price, location, size, agency, and status changes flagged automatically.
Explore Real Estate data →ISP & Utilities
12
Providers
60+
Personas
Speed tiers, contract terms, promotional rates, and bundling options extracted per persona — refreshed weekly as providers update.
Explore ISP solution →Retail & FMCG
6
Countries
30+
Retail chains
2M+
SKUs monitored
Prices, promotions, availability, and shelf positioning tracked daily across grocery, pharmacy, and specialist retail — including Poland, DE, UK, FR.
Explore Retail solution →What teams say
The opportunity is validated. Your flexibility, the extractions, the speed… it's quite impressive. This could really become a new capability for Bacardi.
Jesus Checa
Chief Innovation Officer, Bacardi
The speed, adaptability, and precision of Jsonify have truly stood out. It's been impressive to see how quickly the product delivers real value in a dynamic environment!
Philipp Hodl
PlugnPlay Ventures
Why teams switch
None of them deliver continuously updated, structured intelligence from the live web at enterprise scale. That's the gap Jsonify fills.
DIY scraping
Takes months to build, breaks with every site update, and needs a dedicated engineer to maintain. That's not a product — it's an ongoing project.
Legacy market intelligence
Quarterly reports from Nielsen or Euromonitor cost more than a Jsonify pilot — and arrive already out of date. Survey-based data can't tell you what competitor pricing looks like today.
Generic AI tools
Great for one-off questions. Can't monitor continuously, can't deliver structured datasets at scale, no reliable scheduling. A reasoning tool, not data infrastructure.
Jsonify
Continuously delivers structured intelligence from the live web — no engineering overhead, no stale reports, no one-off queries.
Common use cases teams run on Jsonify. Click any to see a live data preview.
Compare live quote flows across carriers for real customer personas — premium, excess, and bundling included.
Explore Insurance data →Track SKU additions, removals, and attribute changes across competitor product lines automatically.
Explore Product data →Simulate booking flows across rental brands and locations to benchmark pricing by duration and season.
Explore Rental data →Monitor product pricing, promotions, and availability across major retailers and online marketplaces worldwide.
Explore Retail data →Track broadband, mobile, and utility plan changes across providers. Speed tiers, prices, and contract terms extracted automatically.
Explore ISP data →Collect accurate product and pricing data from major ecommerce platforms and direct-to-consumer sites at scale.
Explore Ecommerce data →Scan bar, restaurant, and delivery menus for product presence, pricing, and brand placement data globally.
Explore F&B data →Collect rental and sales listing data from property portals to power market analysis, valuations, and investment signals.
Explore Real Estate data →FAQ
You may also be interested in the legal FAQ, or questions specifically about Radar and Benchmark.
ChatGPT is a reasoning tool. Jsonify is data infrastructure. Different jobs.
ChatGPT and similar tools are great for answering one-off questions — but they can't monitor sources continuously, can't deliver structured datasets at scale, have no reliable scheduling, and aren't designed for repeatable ETL. Jsonify runs thousands of extractions in parallel, produces typed schema-validated datasets, and delivers via dashboards, CSV, API, or Snowflake on a schedule. The two tools complement each other — Jsonify feeds the structured data; your team uses AI to reason over it.Jsonify data agents monitor competitor websites, marketplaces, and apps continuously — delivering structured intelligence your team can act on immediately.
No setup required. First results in days, not months.