Step 2: Extract Data

Run extraction:

python scripts/extract_client_data.py <client_folder> --pretty

Batch all clients:

python scripts/extract_client_data.py <base_folder> --scan-all --output all_clients.json

Extracts: business name, WhatsApp, links (with icons), locations.

Step 3: Extract Brand Colors

python scripts/extract_colors.py <image_path> --num-colors 5 --output json

Returns: customPrimaryColor, customSecondaryColor, customAccentColor, suggestedTheme.

Step 4: Generate Final JSON

Combine into Digitaliza format:

{
  "slug": "doomo-saltado",
  "name": "Doomo Saltado",
  "phone": "+51014711000",
  "whatsapp": "51014711000",
  "address": "Local en Surco, Lima",
  "logoUrl": "logo.png",
  "theme": "custom",
  "customPrimaryColor": "#dc2626",
  "customSecondaryColor": "#b91c1c",
  "backgroundStyle": "mesh",
  "links": [
    {"title": "Reservar", "url": "https://wa.me/51014711000", "icon": "whatsapp", "order": 0, "isActive": true},
    {"title": "Instagram", "url": "https://instagram.com/doomo", "icon": "instagram", "order": 1, "isActive": true}
  ]
}

Manual Completion

Verify after extraction:

Field	Source
`name`	Screenshots or website
`whatsapp`	Country code + number
`address`	Google Maps or screenshot
`description`	1-2 sentences about business
`theme`	general, italian, mexican, japanese, coffee, hamburguesa, barber, spa, salon

Link Icons

Service	Icon
WhatsApp	`whatsapp`
Instagram	`instagram`
Facebook	`facebook`
TikTok	`tiktok`
Google Maps	`location`
UberEats	`ubereats`
Rappi	`rappi`
Menu/Carta	`menu`

Batch Checklist

Scan all: python scripts/extract_client_data.py . --scan-all
Review extraction notes
Extract colors for folders with logos
Flag incomplete data for manual review

Schema Reference

See references/digitaliza_schema.md for complete field definitions.

digitaliza-data-extractor

Digitaliza Data Extractor

Workflow

Step 1: Scan Client Folder