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Python package, scraping recipes from all over the internet

Project description

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A simple web scraping tool for recipe sites.

pip install recipe-scrapers


from recipe_scrapers import scrape_me

scraper = scrape_me('')

# 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('', wild_mode=True)
scraper.nutrients()  # if available

You also have an option to scrape html-like content

import requests
from recipe_scrapers import scrape_html

url = ""
html = requests.get(url).content

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

# etc...


  • 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


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 <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 &&
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


  • 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.instructions()  # etc.


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!


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