Machine Overview

• Machine Name : Generic TripAdvisor Review Extractor
• Title : Tripadvisor Review and Rating Extractor(Scrap review data from Tripadvisor)
• Short Description :
  This machine uses APIs to fetch hotel reviews and ratings from Tripadvisor in the selected language.
• Detail Description : This machine automates the process of fetching hotel reviews, ratings, and related details from Tripadvisor using APIs. Given a list of hotel names, the machine queries Tripadvisor's APIs to retrieve customer reviews, hotel information, and overall ratings. The reviews and information are fetched in the language selected by the user, ensuring the data is in the desired language for better understanding. It ensures input validation where the provided input should be a list of hotel names in the format: ["Hotel 1", "Hotel 2", "Hotel 3"]. If the input does not meet the expected format, the extraction process will not proceed. This machine helps gather valuable insights into hotel quality directly from Tripadvisor's review data in your preferred language.
• Machine Document : -

Classification

• Industry : Hotels
• Category : Rateshop
• Sub Category : -

Compatibility and Dependencies

• Dependent Machines : -
• Compatible Machines : -
• Version : 1.0.2

Specifications

• Input Specification : Download

  Fetch review data from lists of hotel names and languages.

   

  • Hotel Name (Array[String]) : A list of hotel names for which the hotel information, rates, and reviews will be fetched. You can provide multiple hotel names in this list. The hotel names should be in the following format: ["Hotel 1", "Hotel 2", "Hotel 3"].
  • Language (String) : A parameter to select the language for the hotel reviews and information that will be fetched. You can select from a list of available languages. The supported languages are: "English", "Dutch", "German", "French", "Spanish", and "Italian".
• Output Specification : Download

  Provides structured hotel review and rating information, organized by review attributes and rating categories, for further analysis.

  Review Data (Dictionary): Container for the complete review and rating information.
  • Hotel Name (Array[Object]): List of hotel names being reviewed.
  • Customer Reviews (Array[Object]): List of customer review objects, each containing:
  • Name (String): Name of the customer who submitted the review.
  • Review (String): The textual content of the customer's review.
  • Time Of Review (String): Date and time when the review was submitted.
  • Rating (Number): Overall rating given by the customer.
  • Max Rating (Number): Maximum rating possible (e.g., 5).
  • Value (Number): Rating for the value for money.
  • Cleanliness (Number): Rating for hotel cleanliness.
  • Rooms (Number): Rating for the quality and comfort of the rooms.
  • Service (Number): Rating for the quality of customer service.
  • Location (Number): Rating for the hotel’s location convenience.
  • Sleep Quality (Number): Rating for comfort and sleep experience.
  • Link Of Review (String): URL to the original review online.
  • Rating (Dictionary): Breakdown of ratings across various aspects of the hotel experience.
  • Value (Number): Numeric value rating.
  • Rooms (Number): Numeric room quality rating.
  • Service (Number): Numeric service rating.
  • Location (Number): Numeric location rating.
  • Cleanliness (Number): Numeric cleanliness rating.
  • Sleep Quality (Number): Numeric sleep quality rating.
  • Rating (Number): Aggregated or average overall rating.

Infrastructure Requirement

• OS Requirement : Linux
• CPU : 1
• Cloud : AWS
• RAM : 2Gi

Usage Stats

• Total OnBoarded : -
• Active OnBoarding : -