How Jsonify works

The pipeline

Jsonify runs a continuous pipeline that transforms public web content into structured, queryable datasets. There are four stages: targeting, extraction, structuring, and delivery.

1. Targeting

Every deployment starts with defining what to monitor. This means specifying:

• Sources — which websites and apps to monitor (competitor sites, marketplaces, review platforms)
• Data points — what specific fields to extract (prices, product names, availability, ratings)
• Scope — which geographies, categories, or product lines to cover
• Cadence — how often to update (daily, weekly, or on-demand)

Jsonify's team works with you during setup to define the right monitoring scope. For Radar deployments, this means identifying the right pages and data points. For Benchmark deployments, this means mapping out the quote journeys to simulate.

2. Extraction

Data agents visit the targeted pages on schedule and extract the specified data points. This is where Jsonify differs fundamentally from traditional scraping.

Radar agents navigate to pages, read their content, and extract structured fields. They handle JavaScript-rendered pages, lazy-loaded content, cookie consent dialogs, and dynamic layouts. When a site redesigns, the agents adapt automatically because they understand content semantically rather than relying on CSS selectors or XPaths.

Benchmark agents go further — they interact with pages. They fill out forms, select options, click through multi-step flows, and extract the resulting quotes or offers. This allows monitoring of pricing that only appears after user interaction, like insurance quotes or configured product pricing.

3. Structuring

Raw extracted data is normalized into consistent, structured formats:

• Field normalization — prices are parsed into numeric values with currency codes, dates are standardized, categories are mapped to a consistent taxonomy
• Cross-source matching — the same product from different retailers is matched and aligned, even when naming conventions differ
• Quality checks — anomalies, missing data, and extraction errors are flagged and handled
• Historical tracking — every data point is timestamped, building a complete history of changes over time

4. Delivery

Structured datasets are delivered to your team through multiple channels:

• Jsonify Dashboard — interactive views with filtering, comparison, and visualization. Set up alert rules to get notified when specific conditions are met (price drops, new products, stock changes).
• Spreadsheets — live-updating Google Sheets or downloadable CSV/Excel files
• API — RESTful API for programmatic access, integration with BI tools, data warehouses, or internal systems
• Webhooks — real-time notifications pushed to your systems when new data is available or alert conditions are triggered

Infrastructure

Jsonify's infrastructure is designed for reliability and scale:

• Agents run on distributed infrastructure across multiple regions
• Residential and datacenter proxy networks ensure consistent access
• Browser-based rendering handles JavaScript-heavy sites
• Automatic retries and fallback strategies handle temporary failures
• All data is encrypted in transit and at rest

What you don't need to do

Jsonify is a managed service. You don't need to write code, maintain scrapers, manage proxy infrastructure, or handle site changes. The Jsonify team manages the entire pipeline — you just receive clean, structured data.