akshitvjain/restaurant-finder-featureReviews
Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
This tool helps you quickly find restaurants based on your preferences and understand what people are saying about specific features like ambiance, service, or food quality. It takes raw customer reviews and restaurant details from sources like TripAdvisor, then summarizes key insights about each restaurant's features. Anyone looking for a dining spot or researching restaurant trends can use this.
No commits in the last 6 months.
Use this if you want to search for restaurants by criteria like cuisine or price, and get concise, feature-specific summaries of customer reviews to inform your dining choice.
Not ideal if you're looking for a platform to write or submit your own restaurant reviews, as it focuses on summarizing existing public feedback.
Stars
23
Forks
7
Language
Python
License
MIT
Category
Last pushed
May 22, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/akshitvjain/restaurant-finder-featureReviews"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
plabayo/rama
modular service framework to move and transform network packets
scrapinghub/spidermon
Scrapy Extension for monitoring spiders execution.