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@AnnieSixgun , I could not replicate the issue here. Could you double check that you're using the latest version of the library?
>>>fromrecipe_scrapersimportscrape_me>>>scraper=scrape_me('https://www.foodnetwork.com/recipes/ina-garten/asian-grilled-salmon-recipe-1944413')
>>>scraper.to_json()
{'author': 'Ina Garten Bio & Top Recipes', 'canonical_url': 'https://www.foodnetwork.com/recipes/ina-garten/asian-grilled-salmon-recipe-1944413', 'category': 'main-dish', 'cook_time': 9, 'cuisine': 'asian', 'description': "Ina Garten's Asian Grilled Salmon, from Barefoot Contessa on Food Network, is a light, quick main dish with salty-sharp flavors like Dijon and soy sauce.", .... }
>>>
@AnnieSixgun I also couldn't replicate the issue, although I did notice that prep_time and cook_time have not been implemented despite them being available in the schema - @jknndy did you want me to make this improvement?
@AnnieSixgun I also couldn't replicate the issue, although I did notice that prep_time and cook_time have not been implemented despite them being available in the schema - @jknndy did you want me to make this improvement?
Up to you @mlduff ! I've been exploring this issue on a larger scale to see if we can populate all possible coverage that is available so it'll get caught in that regardless
The URL of the recipe(s) that are not being scraped correctly
- https:// ...
https://www.foodnetwork.com/recipes/ina-garten/asian-grilled-salmon-recipe-1944413
...
the recipe info
...
Looks Like We Couldn't Find Anything
...
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