# hhursev/recipe-scrapers

Python package for scraping recipes data

Repository: https://github.com/hhursev/recipe-scrapers
Canonical: https://ross.abutalabs.com/products/recipe-scrapers
Homepage: https://docs.recipe-scrapers.com
Language: Python
License: MIT
License Family: permissive
Topics: data-extraction, food, html-parsing, json-ld, library, meal, microdata, opengraph, python, recipe-schema, recipe-scraper, schema-org, recipe-extraction, recipe-parser
Last push: 2026-08-21T20:33:09+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 96, longevity 100
- inputs: {"age_days": 4006, "days_push": 12, "days_rel": 25, "gap_med": 21.5, "n_releases_24m": 19}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2216, forks 670 (observed 2026-08-28T04:06:27.161302+00:00)

## What it is
A Python library for extracting structured recipe data (title, ingredients, instructions, cooking times, images, nutrients) from cooking websites. It parses HTML, Schema.org markup (JSON-LD, Microdata, RDFa), and OpenGraph metadata, supporting over 739 recipe sites.

## Use cases
- extract ingredients and instructions from recipe urls
- parse schema.org recipe markup from html
- build a recipe manager app that imports recipes from websites
- convert recipe pages to json
- scrape recipe data for a meal planning tool
- extract cooking times and nutrients from recipe sites

## When to choose
- you need structured recipe data from many popular cooking websites with a consistent API
- you want to parse Schema.org/JSON-LD recipe markup rather than write custom scrapers
- you already handle fetching HTML yourself and just need parsing

## When to avoid
- you need the library to fetch pages, bypass bot protection, or render JavaScript
- your target site is not supported and does not follow common schema patterns
- you need general-purpose web scraping beyond recipes

## Facets
- artifact type: library
- maturity: active
- function: web-scraping, parser, data-science
- domain: food, crawlers, developer-tools
- platform: python, cross-platform
- tags: recipe-extraction, schema-org, json-ld, microdata, opengraph, html-parsing, recipes, automation

## Member repositories
- hhursev/recipe-scrapers (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:27.161302+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:45:56.993268+00:00, confidence not recorded.
  - readme: https://github.com/hhursev/recipe-scrapers (fetched 2026-08-28T04:06:27.161302+00:00, sha dd3a76f8361c)
  - homepage: https://docs.recipe-scrapers.com (fetched 2026-08-29T10:26:27.620754+00:00, sha bb5573faaeef)
  - site_page: https://docs.recipe-scrapers.com/getting-started/examples (fetched 2026-08-29T10:26:27.629749+00:00, sha 632a6adb20af)
  - site_page: https://docs.recipe-scrapers.com/getting-started/supported-sites (fetched 2026-08-29T10:26:27.631675+00:00, sha a0f65c1a3faa)
  - site_page: https://docs.recipe-scrapers.com/getting-started/advanced-usage (fetched 2026-08-29T10:26:27.634051+00:00, sha 135ba0f68aef)
  - site_page: https://docs.recipe-scrapers.com/getting-started/releases-and-license (fetched 2026-08-29T10:26:27.637906+00:00, sha 47316ed05deb)
  - site_page: https://docs.recipe-scrapers.com/contributing/documentation (fetched 2026-08-29T10:26:27.640136+00:00, sha 3f487ba1b0df)
  - registry_pypi: https://pypi.org/pypi/recipe-scrapers/json (fetched 2026-08-29T10:26:27.641888+00:00, sha 86efd130238c)
- Data as of 2026-08-30T08:39:29.467469+00:00.