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1. RETRIEVE USER INFO YELP API HOW TO
2. RETRIEVE USER INFO YELP API FULL
3. RETRIEVE USER INFO YELP API SOFTWARE
4. RETRIEVE USER INFO YELP API CODE

In essence, API is a set of functions and procedures that allow SE to develop an application using data and features on other apps. It can also provide extension mechanisms so that users can extend existing functionality in various ways and to varying degrees." - Wikipedia

RETRIEVE USER INFO YELP API HOW TO

It defines the kinds of calls or requests that can be made, how to make them, the data formats that should be used, the conventions to follow, etc.

RETRIEVE USER INFO YELP API SOFTWARE

"An application programming interface (API) is a computing interface which defines interactions between multiple software intermediaries. We decided to use Yelp Fusion API for our database. In our first phase, we covered Ruby, SQL, ActiveRecord, and developing a CLI (command line interface) application.įor the project, me and my partner decided to build an app called SalonFindr assistance app that helps users to find hair salons based on their personal reference such as high-end, budget-friendly, currently open salons, view salon's reviews, sort salons by popularity, etc, based on a specific location. A phase is a three-week time frame of lectures that cover a big chunk of coding-related materials. The name of this shiny app is a nod to Silicon Valley’s Not Hotdog application.I finished my first project at Flatiron School two weeks ago, which ended our Phase 1.

RETRIEVE USER INFO YELP API CODE

However here is a screenshot of the script above developed into an interactive shiny application to search for any and the gist of the code if your interested in running a local version. In trying to create and publish a shiny application that wraps this code, I came up with errors given that OAuth2.0 grants access to users ? and not applications ?.

RETRIEVE USER INFO YELP API FULL

The non-premium API access only includes up to 3 reviews and only a sample of the full text, leaving obvious gaps when trying to detect the keyword ‘mustard’ and contingent on enough reviews which details ? preparation. # loop through each restaurant's 3 reviews and extract the text and detect the presence of the string 'mustard' # create a function to structure the urls with the business idīiz_reviews$url % map_df(`[`, "status_code") = 200 The purrr version to check multiple restaurant text reviews for the string ‘mustard’. Get business reviews: After getting a specific McDonald's `id` restructure the url as an individual value and secondly creating a function to create a ame with urls for each business from the search endpoint. # Set your credentials as environment variables. Create an application on the () and agree to the Terms and aggreements This script highly references Jenny Bryan’s yelpr example! library(yelpr) # devtools::install_github("jennybc/ryelp") The process below explains the approaches I took to gather data from the web with the yelp API and the development of a shiny web application which detects string patterns in reviews for the keyword ‘mustard’ for a specific McDonald’s. I hypothesized that these deviations in food prep could be identified from reviews. After some Google research, I noticed others had documented the regional differences in the use of mustard and but no aggregated data set existed detailing which McDonald’s added mustard to their hamburgers. in Maryland and not in Upstate New York). As a kid I traveled to different McDonald’s across the east coast and noticed a difference in the classic hamburger preparation for adding mustard (i.e. McDonald’s is a nostalgic component of America ? and a pioneer of fast food operations and real estate ventures, as depicted in the 2016 film, The Founder, about Ray Kroc. Leveraging tidyverse packages httr, stringr & purrr –