This Api let's you scrap information of any restaurant of any city you choose in french.
there are a few thing to know before you use it :
This API can be pretty slow if you run it for a whole city, because of waiting time

This information is requiered to know before using the API, because it uses a similar structure.
a TripAdvisor URL is as follows :
https://www.tripadvisor.fr/Restaurant_Review-g187137-d15335670-Reviews-La_table_Saint_Thomas-Reims_Marne_Grand_Est.html
it is first comprised of the website domain, then category, and by 2 IDs
here, in this example :
"g187137" is the city ID
"d15335670" is the restaurant ID.

this api can scrap basic information about a restaurant of your liking and produce a JSON.

to do so you need to execute the following request :
http://127.0.0.1:8000/restaurant/{cityid}/{restaurantid}
the info you are then getting is the top 30 reviews of that restaurant
you can add the following query to extract all reviews for that restaurant :
?review=True
so you should be having a url that looks like :
http://127.0.0.1:8000/restaurant/{cityid}/{restaurantid}?review=True \

to do so you need to execute the following request :\  http://127.0.0.1:8000/restaurant/{cityid}
the info you are then getting is the top 30 restaurants of that city
you can add the following query to extract all restaurants for that city :
?full=True
so you should be having a url that looks like :
http://127.0.0.1:8000/restaurant/{cityid}?full=True
you can add the following query to extract all reviews for that city :
?review=True
so you should be having a url that looks like :
http://127.0.0.1:8000/restaurant/{cityid}?review=True
you can also combine both to extract all reviews for all the restaurants of the city you chose by :
http://127.0.0.1:8000/restaurant/{cityid}?full=True&review=True

this api has a dashbord that can be displayed for a specific restaurant with the following informations:

1. restaurant infos
2. list of most used words in the review
3. a top 10 best comments (user, score, date of visit and review)
4. a top 10 worst comments (user, score, date of visit and review)

add better lisibility to the whole API itself and restructure it
add Sentiment Analysis prediction based on review