# Tasty Meals (`pintostudio/tasty-meals`) Actor

This Apify actor scrapes recipe meals from Tasty.co, one of the world's largest food-focused digital platforms.

- **URL**: https://apify.com/pintostudio/tasty-meals.md
- **Developed by:** [Pinto Studio](https://apify.com/pintostudio) (community)
- **Categories:** E-commerce, News, Travel
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$14.99/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Tasty Recipes Search Actor Documentation

### Overview

This Apify actor scrapes recipe meals from Tasty.co, one of the world's largest food-focused digital platforms. It enables developers, food enthusiasts, and researchers to programmatically access Tasty's extensive recipe database through a simple API interface.

### Features

- Search through thousands of Tasty.co recipes
- Retrieve detailed recipe information including ingredients, instructions, and nutritional data
- Support for pagination to handle large result sets
- Easy integration with other applications and workflows
- Efficient data extraction with rate limiting and error handling

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `mealTag` | string | "breakfast" | Meal category (e.g., "breakfast", "lunch", "dinner", "desserts", "snacks") |
| `page` | string | "1" | Page number for pagination through search results |
| `perPage` | string | "20" | Number of results to return per page (max: 100) |

### Usage Examples

#### Basic Usage

```javascript
const input = {
    "mealTag": "lunch",
    "page": "1",
    "perPage": "20"
};
```

#### Advanced Search

```javascript
const input = {
    "mealTag": "lunch",
    "page": "2",
    "perPage": "50"
};
```

### Output Format

The actor returns data in JSON format with the following structure:

```json
{
    "items": [
        {
            "id": "recipe_id",
            "name": "Recipe Name",
            "description": "Recipe Description",
            "ingredients": [...],
            "instructions": [...],
            "nutritionalInfo": {...},
            "cookTime": "...",
            "servings": "..."
        }
    ],
    "totalCount": 100,
    "currentPage": 1
}
```

### Use Cases

- Recipe aggregation websites and apps
- Meal planning services
- Food bloggers and content creators
- Nutritional analysis tools
- Restaurant menu inspiration
- Dietary requirement filtering

### Installation & Setup

1. Create an Apify account at [apify.com](https://apify.com)
2. Navigate to the Apify Console
3. Search for "Tasty Recipes Search Actor"
4. Click "Try Actor"

### Running the Actor

#### Via Apify Console

1. Open the actor in Apify Console
2. Configure input parameters
3. Click "Run"

#### Via API

```bash
curl --request POST \
  --url https://api.apify.com/v2/acts/[ACTOR_NAME]/runs?token=[YOUR_API_TOKEN] \
  --header 'content-type: application/json' \
  --data '{
    "query": "chicken",
    "page": "1",
    "perPage": "20"
  }'
```

### Best Practices

- Use specific search terms for better results
- Implement pagination for large data sets
- Consider rate limiting for bulk requests
- Cache results when appropriate
- Handle error responses gracefully

### Error Handling

The actor implements robust error handling for common scenarios:

- Invalid input parameters
- Network connectivity issues
- Rate limiting responses
- Invalid or empty search results

### Limitations

- Maximum 100 results per page
- Rate limiting applies to prevent server overload
- Some premium recipes might not be accessible
- Search results depend on Tasty.co's content availability

### Support

For issues and feature requests, please:
Contact support at pintoflowpt@gmail.com

### Keywords

recipes, tasty, food scraping, recipe api, cooking, meal planning, food data, web scraping, apify actor, tasty.co, recipe search, food database, cooking api, recipe crawler, food scraper

### Related Projects

- https://apify.com/pintostudio/tasty-search

# Actor input Schema

## `mealTag` (type: `string`):

The query to search for.

## `page` (type: `string`):

The requested page number.

## `perPage` (type: `string`):

The limit per page.

## Actor input object example

```json
{
  "mealTag": "breakfast",
  "page": "1",
  "perPage": "22"
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "page": "1",
    "perPage": "22"
};

// Run the Actor and wait for it to finish
const run = await client.actor("pintostudio/tasty-meals").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "page": "1",
    "perPage": "22",
}

# Run the Actor and wait for it to finish
run = client.actor("pintostudio/tasty-meals").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "page": "1",
  "perPage": "22"
}' |
apify call pintostudio/tasty-meals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pintostudio/tasty-meals"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/km1I4DRRBUslZavxd/builds/otbj5coiytjeFpQi4/openapi.json