Recipe Importer

Docker container for importing recipes from Hungarian websites into Mealie and Tandoor Recipes.

Problem: Mealie's and Tandoor's built-in URL import cannot parse ingredients and instructions from Hungarian recipe sites like mindmegette.hu.

Solution: This container provides a web UI that scrapes Hungarian recipe pages with site-specific parsers, lets you review and edit the extracted data, then pushes it to Mealie and/or Tandoor via their REST APIs.

Architecture

┌──────────────────────────────────────────────────────┐
│  recipe-importer container (:8000)                   │
│                                                      │
│  Flask + Gunicorn                                    │
│  ├── /settings       → Configure Mealie & Tandoor    │
│  ├── /import         → Paste URL, scrape, review     │
│  ├── /scrape         → AJAX: parse recipe HTML       │
│  ├── /send           → AJAX: push to Mealie API      │
│  ├── /send-tandoor   → AJAX: push to Tandoor API     │
│  └── /health         → Health check                  │
│                                                      │
│  Modules:                                            │
│  ├── app/config.py   → JSON config persistence       │
│  ├── app/scraper.py  → Site-specific parsers         │
│  ├── app/mealie.py   → Mealie REST API client        │
│  └── app/tandoor.py  → Tandoor REST API client       │
└───────────────────┬──────────────┬───────────────────┘
                    │ HTTP         │ HTTP
                    ▼              ▼
         ┌──────────────┐  ┌───────────────┐
         │  Mealie       │  │  Tandoor      │
         │  POST /api/.. │  │  POST /api/.. │
         │  PUT /api/..  │  │  PUT /api/..  │
         └──────────────┘  └───────────────┘

Supported Sites

Site	Ingredients	Instructions	Image
mindmegette.hu	Yes	Yes	Yes
Other sites	Fallback (schema.org JSON-LD)	Fallback (schema.org JSON-LD)	Yes (og:image)

Mindmegette.hu Parser

Extracts data from the Angular-rendered HTML:

• Title: og:title meta tag, with | Mindmegette.hu suffix stripped
• Description: og:description meta tag
• Image: og:image meta tag
• Ingredients: div.ingredients → div.ingredients-meta rows, each containing <strong> (qty), <span> (unit), <a class="ingredients-link"> (food), <small> (extra)
• Ingredient groups: Multiple div.ingredients containers; group title via <strong class="ingredients-group">
• Instructions: mindmegette-wysiwyg-box → ol > li elements

Generic Fallback Parser

For unsupported sites, attempts extraction via:

1. Schema.org JSON-LD @type: Recipe blocks (recipeIngredient, recipeInstructions)
2. OpenGraph meta tags for title, description, image

Adding a New Site Parser

1. Create a parser function in app/scraper.py with the @_register("hostname") decorator
2. The function receives (soup: BeautifulSoup, url: str) and returns the standard recipe dict
3. The hostname substring is matched against the URL — first match wins, unmatched URLs use the generic fallback

Mealie API Integration

The importer uses the Mealie REST API:

1. POST /api/recipes — create a stub recipe (returns slug)
2. PATCH /api/recipes/{slug} — populate structured ingredients (with unit/food IDs), instructions, description, orgURL
3. PUT /api/recipes/{slug}/image — upload the recipe image

Structured ingredients: The client resolves unit and food names to Mealie database IDs. Missing units/foods are created automatically via the API. Ingredient groups are supported via the title field on the first ingredient of each group.

Authentication uses a long-lived API token (Bearer header), created in Mealie at Profile → API Tokens.

Tandoor API Integration

The importer uses the Tandoor REST API:

1. POST /api/recipe/ — create the full recipe in one call (name, description, source_url, steps with nested ingredients)
2. PUT /api/recipe/{id}/image/ — upload the recipe image

Step-based ingredients: Tandoor nests ingredients inside steps. All ingredients are attached to the first step. Units and foods are auto-created by name (no separate resolution needed). Ingredient groups use is_header: true on a header entry.

Duplicate detection: Before import, searches Tandoor by title and checks the source_url field to detect already-imported recipes.

Authentication uses an API token (Bearer header), created in Tandoor at Settings → API Browser → Auth Token.

Configuration

All settings are persisted to /data/config.json (mounted as a Docker volume).

Setting	Description
mealie_url	Full URL to Mealie instance (e.g. https://mealie.example.com)
mealie_api_key	Mealie API token
tandoor_url	Full URL to Tandoor instance (e.g. https://recipes.example.com)
tandoor_api_key	Tandoor API token

Deployment

Docker Compose

services:
  recipe-importer:
    image: gitea.dooplex.hu/admin/recipe-importer:0.1.9
    container_name: recipe-importer
    restart: unless-stopped
    ports:
      - "8011:8000"
    volumes:
      - recipe-data:/data
    environment:
      - SECRET_KEY=change-me-in-production
      - MEALIE_INTERNAL_URL=http://mealie:9000
      - TANDOOR_INTERNAL_URL=http://tandoor:8080

volumes:
  recipe-data:

Environment Variables

Variable	Default	Description
SECRET_KEY	recipe-importer-dev-key	Flask session secret
DATA_DIR	/data	Persistent storage path
VERSION	dev	Shown in the UI navbar
MEALIE_INTERNAL_URL	(empty)	Docker-internal Mealie URL (e.g. http://mealie:9000) to avoid Cloudflare hairpin
TANDOOR_INTERNAL_URL	(empty)	Docker-internal Tandoor URL (e.g. http://tandoor:8080) to avoid Cloudflare hairpin

Building

On the build server (kisfenyo@192.168.0.180):

cd ~/build/recipe-importer
./build.sh X.X.X --push

Web UI

The UI is in Hungarian and uses a dark theme. The workflow is:

1. Settings (/settings) — Configure Mealie and/or Tandoor connection (URL + API key), test each connection
2. Import (/import) — Paste a recipe URL, click "Beolvasás" (Scrape)
3. Review — Edit structured ingredients (4-column: quantity, unit, food, note), add/remove ingredient groups, edit instructions
4. Send — Click "Importálás Mealie-be" and/or "Importálás Tandoor-ba" to push to your configured services

Tech Stack

• Runtime: Python 3.12 (slim)
• Web framework: Flask 3.1 + Gunicorn
• HTML parsing: BeautifulSoup 4 + lxml
• HTTP client: requests
• Container: ~60 MB image