Website to JSON: Turn Business Sites Into Clean, Usable Data

Why JSON matters

Websites are built for humans, not systems. JSON is the simplest way to make web data usable for analytics, enrichment, and automation.

Define the schema before you extract

The fastest way to get clean data is to choose fields first. A simple schema looks like:

• business_name
• website
• location
• email
• phone
• services
• pricing

Recommended workflow

1. Pick your schema

Decide which fields are required vs optional.

1. Find relevant pages

Crawl to identify contact, services, and pricing pages.

1. Extract into your schema

Use a template or custom prompt to map data consistently.

1. Validate and export

Spot‑check sample records and export JSON or CSV.

Example JSON

{
  "business_name": "Northstar Fitness",
  "location": "Denver, CO",
  "email": "info@northstar.example",
  "phone": "+1-555-0189",
  "services": [
    { "name": "Personal Training", "price": "$120/session" }
  ]
}

How teams use this

• Lead generation: build targeted lists with verified fields.
• Market research: compare offerings and pricing by category.
• Ops automation: feed CRMs, BI tools, or internal apps.

Common errors to avoid

• Mixing schemas between jobs: keep the same fields across runs.
• Skipping validation: spot‑check early to prevent large errors.
• Extracting everything: focus on pages that matter.

Final takeaway

JSON isn’t just an export format — it’s the difference between “data you have” and “data you can use.”