# Tasty Scraper (`epctex/tasty-scraper`) Actor
Gather data on millions of recipes, articles, and compilations. Extract descriptions, images, ingredients, videos, and more. Customize your searches with filters for targeted results.
- **URL**: https://apify.com/epctex/tasty-scraper.md
- **Developed by:** [epctex](https://apify.com/epctex) (community)
- **Categories:** Videos
- **Stats:** 72 total users, 1 monthly users, 100.0% runs succeeded, 9 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$10.00/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 after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Actor - Tasty Scraper
### Tasty scraper
Since Tasty doesn't provide a good and free API, this actor should help you to retrieve data from it. This actor can provide you with very detailed
The Tasty data scraper supports the following features:
- Search any keyword - You can search for any keyword and find the recipes according to your needs.
- Scrape recipes - Scrape any recipes in a very detailed and structured from Tasty.
- Scrape articles - Fetch any articles that have been published on Tasty.
- Scrape compilations - You can scrape any compilation that you need. It is structured and provides all the detailed information.
- Scrape topics - If you want to scrape a specific topic with a huge list of recipes, you can just provide it and Tasty Scraper will do the rest.
- Scrape ingredients - You can even scrape the list that is based on the ingredients.
### Bugs, fixes, updates, and changelog
This scraper is under active development. If you have any feature requests you can create an issue from [here](https://github.com/epctex-support/tasty-scraper/issues).
### Input Parameters
The input of this scraper should be JSON containing the list of pages on Tasty that should be visited. Possible fields are:
- `search`: (Optional) (String) Keyword that you want to search on Tasty.
- `startUrls`: (Optional) (Array) List of Tasty URLs. You should only provide the recipe, article, compilation, search, topic, and ingredient URLs.
- `includeReviews`: (Optional) (Boolean) This will add all the reviews that Tasty provides into the detail objects. Please keep in mind that the time and resources the actor uses will increase proportionally to the number of reviews.
- `endPage`: (Optional) (Number) Final number of page that you want to scrape. The default is `Infinite`. This applies to all `search` requests and `startUrls` individually.
- `maxItems`: (Optional) (Number) You can limit scraped items. This should be useful when you search through the big lists or search results.
- `proxy`: (Required) (Proxy Object) Proxy configuration.
- `extendOutputFunction`: (Optional) (String) Function that takes a JQuery handle ($) as an argument and returns an object with data.
- `customMapFunction`: (Optional) (String) Function that takes each object's handle as an argument and returns the object with executing the function.
This solution requires the use of **Proxy servers**, either your own proxy servers or you can use [Apify Proxy](https://www.apify.com/docs/proxy).
#### Tip
When you want to have a scrape over a specific item URL, just copy and paste the link as one of the **startUrl**.
If you would like to scrape only the first page of a list then put the link for the page and have the `endPage` as 1.
With the last approach that is explained above you can also fetch any interval of pages. If you provide the 5th page of a list and define the `endPage` parameter as 6 then you'll have the 5th and 6th pages only.
#### Compute Unit Consumption
The actor is optimized to run blazing fast and scrape many items as possible. Therefore, it forefronts all item detail requests. If the actor doesn't block very often it'll scrape 100 items in 1 minute with ~0.04-0.06 compute units.
#### Tasty Scraper Input example
```json
{
"startUrls":[
"https://tasty.co/search?q=avocado&sort=popular",
"https://tasty.co/recipe/tuna-avocado-tartine",
"https://tasty.co/article/melissaharrison/easy-dinner-recipes",
"https://tasty.co/compilation/4-unique-ways-to-cook-eggs",
"https://tasty.co/topic/healthy",
"https://tasty.co/ingredient/chicken"
],
"search":"avocado",
"proxy":{
"useApifyProxy": true
},
"maxItems": 50,
"endPage": 2
}
````
### During the Run
During the run, the actor will output messages letting you know what is going on. Each message always contains a short label specifying which page from the provided list is currently specified.
When items are loaded from the page, you should see a message about this event with a loaded item count and total item count for each page.
If you provide incorrect input to the actor, it will immediately stop with a failure state and output an explanation of what is wrong.
### Tasty Export
During the run, the actor stores results into a dataset. Each item is a separate item in the dataset.
You can manage the results in any language (Python, PHP, Node JS/NPM). See the FAQ or our API reference to learn more about getting results from this Tasty actor.
### Scraped Tasty Output
The structure of each item in Tasty looks like this:
#### Recipe Detail
```json
https://api.apify.com/v2/datasets/7uHdEg8f6mODflKcJ/items?clean=true&format=json
```
#### Article Detail
```json
https://api.apify.com/v2/datasets/d0LQfge68CZGItUNU/items?clean=true&format=json
```
#### Compilation Detail
```json
https://api.apify.com/v2/datasets/qwtTygaITMW1klZpc/items?clean=true&format=json
```
### Contact
Please visit us through [epctex.com](https://epctex.com) to see all the products that are available for you. If you are looking for any custom integration or so, please reach out to us through the chat box in [epctex.com](https://epctex.com). In need of support? is at your service.
# Actor input Schema
## `search` (type: `string`):
The keyword that you can search on Tasty
## `startUrls` (type: `array`):
URLs to start with.
## `maxItems` (type: `integer`):
Maximum number of items that you want as output. Default is all
## `endPage` (type: `integer`):
The page number that you want to end with. By default there is no end page. This is applies to all search request and startUrls individually.
## `extendOutputFunction` (type: `string`):
Function that takes a JQuery handle ($) as argument and returns data that will be merged with the default output
## `customMapFunction` (type: `string`):
Function that takes each of the objects as argument and returns data that will be mapped by the function itself.
## `proxy` (type: `object`):
Select proxies to be used by your crawler.
## Actor input object example
```json
{
"search": "cucumber",
"startUrls": [
"https://tasty.co/search?q=avocado&sort=popular",
"https://tasty.co/recipe/tuna-avocado-tartine",
"https://tasty.co/article/melissaharrison/easy-dinner-recipes",
"https://tasty.co/compilation/4-unique-ways-to-cook-eggs",
"https://tasty.co/topic/healthy",
"https://tasty.co/ingredient/chicken"
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": {
"useApifyProxy": true
}
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"search": "cucumber",
"startUrls": [
"https://tasty.co/search?q=avocado&sort=popular",
"https://tasty.co/recipe/tuna-avocado-tartine",
"https://tasty.co/article/melissaharrison/easy-dinner-recipes",
"https://tasty.co/compilation/4-unique-ways-to-cook-eggs",
"https://tasty.co/topic/healthy",
"https://tasty.co/ingredient/chicken"
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": ($) => { return {} },
"customMapFunction": (object) => { return {...object} },
"proxy": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("epctex/tasty-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"search": "cucumber",
"startUrls": [
"https://tasty.co/search?q=avocado&sort=popular",
"https://tasty.co/recipe/tuna-avocado-tartine",
"https://tasty.co/article/melissaharrison/easy-dinner-recipes",
"https://tasty.co/compilation/4-unique-ways-to-cook-eggs",
"https://tasty.co/topic/healthy",
"https://tasty.co/ingredient/chicken",
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("epctex/tasty-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"search": "cucumber",
"startUrls": [
"https://tasty.co/search?q=avocado&sort=popular",
"https://tasty.co/recipe/tuna-avocado-tartine",
"https://tasty.co/article/melissaharrison/easy-dinner-recipes",
"https://tasty.co/compilation/4-unique-ways-to-cook-eggs",
"https://tasty.co/topic/healthy",
"https://tasty.co/ingredient/chicken"
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": {
"useApifyProxy": true
}
}' |
apify call epctex/tasty-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=epctex/tasty-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Tasty Scraper",
"description": "Gather data on millions of recipes, articles, and compilations. Extract descriptions, images, ingredients, videos, and more. Customize your searches with filters for targeted results.",
"version": "0.0",
"x-build-id": "ZvUBUoeAQJHQD6iEm"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/epctex~tasty-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-epctex-tasty-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/epctex~tasty-scraper/runs": {
"post": {
"operationId": "runs-sync-epctex-tasty-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/epctex~tasty-scraper/run-sync": {
"post": {
"operationId": "run-sync-epctex-tasty-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"proxy"
],
"properties": {
"search": {
"title": "Search keyword",
"type": "string",
"description": "The keyword that you can search on Tasty"
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Maximum number of listing items",
"type": "integer",
"description": "Maximum number of items that you want as output. Default is all"
},
"endPage": {
"title": "List end page",
"type": "integer",
"description": "The page number that you want to end with. By default there is no end page. This is applies to all search request and startUrls individually."
},
"extendOutputFunction": {
"title": "Extend output function",
"type": "string",
"description": "Function that takes a JQuery handle ($) as argument and returns data that will be merged with the default output"
},
"customMapFunction": {
"title": "Custom map function",
"type": "string",
"description": "Function that takes each of the objects as argument and returns data that will be mapped by the function itself."
},
"proxy": {
"title": "Proxy configuration",
"type": "object",
"description": "Select proxies to be used by your crawler."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```