Evangeline

Structured data (JSON-LD) Copy

Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong. Guide.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FoodEstablishment",
  "name": "Evangeline",
  "url": "https://evangelinetoronto.com/",
  "telephone": "+14166371200",
  "address": "51 Camden St, M5V 1V2, Toronto",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 43.64681781,
    "longitude": -79.39816139
  },
  "potentialAction": [
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://getbento.com/?utm_source=header&amp;utm_campaign=evangelinetoronto.com",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>

llms.txt Copy

Save as /llms.txt at the root of the site. Guide.

# Evangeline

> food establishment in 51 Camden St, M5V 1V2, Toronto, Toronto cafes and bars. Phone +14166371200.

## Book or order directly

- Order: https://getbento.com/?utm_source=header&utm_campaign=evangelinetoronto.com (through bentobox acting for the business)
- Menu: https://www.evangelinetoronto.com/menus/

## About

- Website: https://evangelinetoronto.com/
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.