Digitaliza Data Extractor

Extract client data from folders to generate digital business cards for digitalizaweb.vercel.app.

Workflow

Client Folder → Extract Data → Extract Colors → Generate JSON → Review

Step 1: Scan Client Folder

ls -la <client_folder>/

Expected files:

• datos_extraier.md - Scraped HTML from LinkTree/profile
• *.png/*.jpg - Screenshots, logo images
• logo.* - Brand logo

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:

Link Icons

Batch Checklist

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

Schema Reference

See references/digitaliza_schema.md for complete field definitions.