G: [Non-text content: thoughts; content_type=thoughts]

G: [Non-text content: thoughts; content_type=thoughts]

G: [Non-text content: thoughts; content_type=thoughts]

G: [Non-text content: reasoning_recap; content_type=reasoning_recap]

G: AnyList doesn’t currently offer an official “export all recipes to CSV” feature; the built-in sharing is basically one recipe at a time (email/AirDrop/link, optionally with an AnyList recipe-file attachment). citeturn2view1turn2view2

So you’ve got two realistic paths:

Path A (official-ish, no reverse engineering): bulk → PDF/text → parse to CSV

What AnyList gives you: per-recipe “Send Recipe / Print” flows. citeturn2view1
How people turn that into bulk export: automate the web UI to “Print to PDF” for every recipe, then extract structured text from the PDFs and build a CSV/JSON dataset. One public script exists that does exactly the “print every recipe to PDF” part (Mac/Safari/AppleScript). citeturn2view2

• Pros: doesn’t require logging into an unofficial API client
• Cons: PDFs are a lossy intermediate; parsing is extra work; Mac-focused automation in that specific script citeturn2view2

Path B (database-clean, most direct): use an unofficial AnyList API wrapper → export JSON → convert to CSV

There are reverse-engineered wrappers that can log into your AnyList account and read recipe objects (name, ingredients, times, etc.), which is exactly what you want for a “database-appropriate information set.” citeturn2view0

• Pros: you can export clean structured JSON (then CSV) in one shot
• Cons: it’s unofficial/reverse engineered, so it may break, and you’re trusting a third-party tool with access tokens/credentials citeturn2view0

What this typically looks like (high level)

1. Use the unofficial wrapper to authenticate and fetch your recipes/collections. citeturn2view0
2. Write out JSON Lines (one recipe per line) or a single JSON file.
3. Convert to CSV with your preferred schema:
   • recipes.csv: id, title, source_url, notes, prep_time, cook_time, servings, rating, created_at, updated_at…
   • ingredients.csv: recipe_id, raw, name, quantity, note…
   • (Optional) collections.csv / recipe_collections.csv join table.

Security note (practical, not moralizing)

If you do Path B, run it locally, inspect the repo, and use an app-specific/throwaway password if AnyList supports it (or rotate your password afterward). The wrapper itself notes it stores encrypted tokens locally by default. citeturn2view0

If you tell me which environment you want to run this on (your Fedora box vs a Mac), I’ll give you the exact “do-this-do-that” export procedure and a ready-to-run script that outputs either JSONL or a normalized CSV set.

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