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()  # not always available
scraper.canonical_url()  # not always available
scraper.equipment()  # not always 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. You can find documentation on how to develop scrapers here.

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.

      You can find a more detailed guide here.

For Devs / Contribute

Assuming you have >=python3.8 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 -k <test_file_name>

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-14.54.0.tar.gz (94.7 kB view details)

Uploaded Source

Built Distribution

recipe_scrapers-14.54.0-py3-none-any.whl (207.8 kB view details)

Uploaded Python 3

File details

Details for the file recipe_scrapers-14.54.0.tar.gz.

File metadata

  • Download URL: recipe_scrapers-14.54.0.tar.gz
  • Upload date:
  • Size: 94.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for recipe_scrapers-14.54.0.tar.gz
Algorithm Hash digest
SHA256 1d417eca51b61794f64ec2eb3b7b1652c2e73ab7bbcd23d907770ec17d6ea918
MD5 27fe0e0d55f560ffd24ad2998cdb2527
BLAKE2b-256 c885563f6c535b5cbb6aeed99ff7c84ad135257b0da94e59635904244fefa0e4

See more details on using hashes here.

File details

Details for the file recipe_scrapers-14.54.0-py3-none-any.whl.

File metadata

File hashes

Hashes for recipe_scrapers-14.54.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ee4e2c145113f12697eaa49cae45ba6e4fba46de8eed8e303887d31b0bc1671b
MD5 052518946398198b00fb082246ffc6bc
BLAKE2b-256 8581a56b6f50d130ec6b065fad2ec37ba18ad9e7cbd5bbe1264d0921b5539fa7

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