---
id: recipe-scrapers
version: "15.12.0"
license: MIT License
license_treatment: permissive
maintenance: active
---

# recipe-scrapers — Python package, scraping recipes from all over the internet

License: permissive · Maintenance: active · Downloads: 97.5K/mo

## What it is and what it does

recipe-scrapers is a Python library that extracts structured recipe data from cooking websites. It parses recipe information from standard HTML structure, Schema.org markup (JSON-LD, Microdata, RDFa), and OpenGraph metadata, providing a consistent API to retrieve ingredients, instructions, cooking times, images, and other recipe fields. The library handles the parsing layer only—you supply the HTML content and its source domain, and it returns structured data via methods like title(), instructions(), and to_json().

The package is focused exclusively on HTML parsing and does not handle network requests or bot protection circumvention. It supports current Python versions (3.10 through 3.14) and works with a wide range of recipe websites out of the box. Higher-quality image detection is enabled by default but can be disabled per-call or globally.

Use it for:

- Build a recipe collection app that imports recipes from multiple cooking websites into a unified database.
- Scrape recipe metadata to power a meal-planning or nutrition-tracking tool.
- Extract recipe instructions and ingredients for offline recipe storage or mobile app content.
- Aggregate recipe data from multiple sources for comparison or analysis.
- Integrate recipe parsing into a cooking assistant or kitchen app.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Extracts structured recipe data (ingredients, instructions, cooking times, images) from cooking websites by parsing HTML, Schema.org markup, and OpenGraph metadata.

Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It solves a specific, well-defined problem—parsing recipe data from HTML—with a simple API and support for multiple markup standards. Install it if you need to extract recipe information from websites; skip it if you don't need recipe parsing.

## Install

pip install recipe-scrapers
uv add recipe-scrapers
poetry add recipe-scrapers

## Installing recipe-scrapers

Before you install: Low friction install with three lightweight dependencies. Actively maintained as of 2026-08-14 with recent release history; no known vulnerabilities.

License in practice: MIT License permits commercial and private use with minimal restrictions; suitable for most projects.

Quickstart:

pip install recipe-scrapers

from recipe_scrapers import scrape_me

scraper = scrape_me("https://www.allrecipes.com/recipe/158968/spinach-and-feta-turkey-burgers/")
print(scraper.title())
print(scraper.instructions())

Requires Python 3.10 or later. You must provide your own HTML fetching and network request handling; the library parses HTML you supply.

Verify before relying:

- Exact count of supported recipe websites beyond 'wide range'
- Whether all Schema.org formats (JSON-LD, Microdata, RDFa) are equally well-supported across sites
- Performance characteristics when scraping large recipe collections

## Package facts

- License: MIT License (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 97.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

recipe scraper python, extract recipe data from websites, parse recipe html, recipe metadata extraction, cooking website scraper, recipe information parser, schema.org recipe extraction, web-scraping, recipe-data, html-parsing

[View on SkillFed](https://skillfed.io/packages/recipe-scrapers) · [View on PyPI](https://pypi.org/project/recipe-scrapers/)