recipe-scrapers
Python package, scraping recipes from all over the internet
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- You must provide your own HTML fetching and network request handling; the library parses HTML you supply.
- Low friction install with three lightweight dependencies.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 2,211 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 97,483 downloads/mo, #13,149 on PyPI
Alternatives
Verify before relying
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())- 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
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 on this page. Verify before relying on it.
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
recipe-scrapers on PyPI
Before you install
Low friction install with three lightweight dependencies. Actively maintained as of 2026-08-14 with recent release history; no known vulnerabilities.
Requires Python 3.10 or later. You must provide your own HTML fetching and network request handling; the library parses HTML you supply.
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())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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesbeautifulsoup4extructisodate |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 97,483 / month, #13,149 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet :: WWW/HTTPTopic :: Software Development :: Libraries |
Evidence: recipe_scrapers-15.12.0-py3-none-any.whl
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