Skip to main content

Python package, scraping recipes from all over the internet

Project description

Github Version PyPI - Python Version Downloads GitHub Actions Unittests Coveralls License Codacy Badge

A simple web scraping tool for recipe sites.

pip install recipe-scrapers

then:

from recipe_scrapers import scrape_me

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

# Q: What if the recipe site I want to extract information from is not listed below?
# A: You can give it a try with the wild_mode option! If there is Schema/Recipe available it will work just fine.
scraper = scrape_me('https://www.feastingathome.com/tomato-risotto/', wild_mode=True)

scraper.host()
scraper.title()
scraper.total_time()
scraper.image()
scraper.ingredients()
scraper.ingredient_groups()
scraper.instructions()
scraper.instructions_list()
scraper.yields()
scraper.to_json()
scraper.links()
scraper.nutrients()  # if available

You also have an option to scrape html-like content

import requests
from recipe_scrapers import scrape_html

url = "https://www.allrecipes.com/recipe/158968/spinach-and-feta-turkey-burgers/"
html = requests.get(url).content

scraper = scrape_html(html=html, org_url=url)

scraper.title()
scraper.total_time()
# etc...

Notes:

  • scraper.links() returns a list of dictionaries containing all of the <a> tag attributes. The attribute names are the dictionary keys.

Scrapers available for:

(*) offline saved files only

Contribute

If you spot a design change (or something else) that makes the scraper unable to work for a given site - please fire an issue asap.

If you are programmer PRs with fixes are warmly welcomed and acknowledged with a virtual beer.

If you want a scraper for a new site added

  • Open an Issue providing us the site name, as well as a recipe link from it.

  • You are a developer and want to code the scraper on your own:

    • If Schema is available on the site - you can go like this.

    • Otherwise, scrape the HTML - like this

    • Generating a new scraper class:

      python generate.py <ClassName> <URL>
      • ClassName: The name of the new scraper class.

      • URL: The URL of an example recipe from the target site. The content will be stored in test_data to be used with the test class.

For Devs / Contribute

Assuming you have >=python3.7 installed, navigate to the directory where you want this project to live in and drop these lines

git clone git@github.com:hhursev/recipe-scrapers.git &&
cd recipe-scrapers &&
python -m venv .venv &&
source .venv/bin/activate &&
python -m pip install --upgrade pip &&
pip install -r requirements-dev.txt &&
pip install pre-commit &&
pre-commit install &&
python -m unittest

In case you want to run a single unittest for a newly developed scraper

python -m unittest tests.test_myscraper

FAQ

  • How do I know if a website has a Recipe Schema? Run in python shell:

from recipe_scrapers import scrape_me
scraper = scrape_me('<url of a recipe from the site>', wild_mode=True)
# if no error is raised - there's schema available:
scraper.title()
scraper.instructions()  # etc.

Netiquette

If you’re using this library to collect large numbers of recipes from the web, please use the software responsibly and try to avoid creating high volumes of network traffic.

Python’s standard library provides a robots.txt parser that may be helpful to automatically follow common instructions specified by websites for web crawlers.

Another parser option – particularly if you find that many web requests from urllib.robotparser are blocked – is the robotexclusionrulesparser library.

Special thanks to:

All the contributors that helped improving the package. You are awesome!

https://contrib.rocks/image?repo=hhursev/recipe-scrapers

Extra:

You want to gather recipes data?
You have an idea you want to implement?
Check out our “Share a project” wall - it may save you time and spark ideas!

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recipe_scrapers-14.48.0.tar.gz (367.2 kB view details)

Uploaded Source

Built Distribution

recipe_scrapers-14.48.0-py3-none-any.whl (191.5 kB view details)

Uploaded Python 3

File details

Details for the file recipe_scrapers-14.48.0.tar.gz.

File metadata

  • Download URL: recipe_scrapers-14.48.0.tar.gz
  • Upload date:
  • Size: 367.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for recipe_scrapers-14.48.0.tar.gz
Algorithm Hash digest
SHA256 4a2892e2766e0fda50bba58bf453366f3f2a6a7ceaeaf0113a768dcb54e96690
MD5 cd8cc4c7d80368ab8985919254c6b0fe
BLAKE2b-256 26073b9b1cb2fdf4553c4f424fb18598cfc7f1c6fe455e87fbb8de8d367b667e

See more details on using hashes here.

File details

Details for the file recipe_scrapers-14.48.0-py3-none-any.whl.

File metadata

File hashes

Hashes for recipe_scrapers-14.48.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5549b129009d32e40c92738a3a39dc8f4d7c9529b3202c9dcedfe6fb1922f9b0
MD5 246c9cb73eab4d42bdef0f1f8d9d848a
BLAKE2b-256 f1dfba5bafc5e660967eeaf35ee52b74ec13be1991904d7bc758e383961081fe

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page