This tool pulls structured recipe, article, topic, and compilation data from Tasty, giving you clean and detailed information without relying on any official API. It helps you access millions of food-related items effortlessly and reliably. If you need fast, flexible Tasty scraping at scale, this project has you covered.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Tasty Scraper retrieves deep, structured data from various Tasty content types. It solves the challenge of manually gathering recipes, tips, compilations, and topic-based collections by automating the process into a single, customizable workflow. It’s designed for engineers, researchers, content creators, or anyone who needs large volumes of food-related data in a consistent format.
- Collects rich recipe details including images, ingredients, instructions, and optional reviews.
- Fetches articles, compilations, and curated topic pages with structured metadata.
- Supports searching by keyword or scraping directly from URLs.
- Handles pagination, item limits, and custom mapping functions.
- Outputs clean JSON ready for use in any application.
| Feature | Description |
|---|---|
| Keyword Search | Retrieve recipe or article results for any search term. |
| Detailed Recipe Extraction | Captures descriptions, steps, images, ingredients, and optional reviews. |
| Article Scraping | Fetches Tasty articles with full metadata and supporting visuals. |
| Compilation Scraping | Pulls compilations and their associated recipe lists in structured form. |
| Topic & Ingredient Scraping | Extracts long lists of themed or ingredient-based items. |
| Pagination Control | Choose exactly how many pages or results you want to process. |
| Custom Mapping | Extend or modify output objects using user-defined functions. |
| Proxy Support | Integrates seamlessly with proxy configurations for stable, high-volume runs. |
| Field Name | Field Description |
|---|---|
| title | The main title of the recipe, article, or compilation. |
| description | A summary or introductory text for the item. |
| ingredients | A list of measured ingredients for recipes. |
| instructions | Step-by-step preparation details. |
| media | Images or videos associated with the item. |
| author | The creator or contributor when available. |
| tags | Categories or metadata descriptors. |
| reviews | Optional user reviews including rating and content. |
| url | The original source URL of the scraped item. |
| type | Identifies whether the item is a recipe, article, topic, compilation, or ingredient list. |
[
{
"title": "Tuna Avocado Tartine",
"url": "https://tasty.co/recipe/tuna-avocado-tartine",
"type": "recipe",
"description": "A fresh, quick open-faced sandwich topped with tuna and creamy avocado.",
"ingredients": [
"2 slices sourdough",
"1 avocado",
"1 can tuna",
"lemon juice",
"salt",
"pepper"
],
"media": {
"image": "https://img.buzzfeed.com/.../tartine.jpg",
"video": null
},
"tags": ["lunch", "easy", "healthy"],
"reviews": [],
"instructions": [
"Toast bread.",
"Mash avocado and season.",
"Combine tuna with lemon.",
"Assemble tartine and serve."
]
}
]
Tasty Scraper/
├── src/
│ ├── index.js
│ ├── scraper/
│ │ ├── recipe_parser.js
│ │ ├── article_parser.js
│ │ ├── compilation_parser.js
│ │ ├── topic_parser.js
│ │ └── utils.js
│ ├── services/
│ │ └── request_client.js
│ ├── config/
│ │ └── defaults.json
│ └── output/
│ └── formatter.js
├── data/
│ ├── input.sample.json
│ └── sample_output.json
├── package.json
├── README.md
└── LICENSE
- Food bloggers use it to gather recipe inspiration at scale, so they can produce curated content faster.
- Data analysts use it to analyze food trends, ingredients, and seasonal patterns across thousands of items.
- Developers integrate it into apps to enrich their platforms with structured, searchable food datasets.
- Marketers use it to research popular recipe formats and content themes, improving campaign insights.
- Educators use it to build datasets for machine-learning projects focused on food, nutrition, or categorization.
Does this tool support scraping only specific URLs? Yes. You can pass individual recipe, topic, article, or compilation URLs and retrieve only those items.
Can I limit how many results I get? You can set item caps or control page ranges to keep scraping tight and predictable.
Does it extract user reviews? Reviews are optional. Enabling them increases detail but also processing time.
Can I extend the output structure? Yes. A custom function lets you modify or add fields to every scraped object.
Primary Metric: Processes around 100 detailed items per minute when running without heavy review extraction.
Reliability Metric: Maintains a consistent high success rate across large, mixed-content lists thanks to robust parsing logic.
Efficiency Metric: Shows stable resource usage across multi-page runs, even when pagination is deep or item counts are high.
Quality Metric: Delivers near-complete data fields for recipes, articles, and compilations with strong structural consistency, ideal for downstream processing.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
|