Machine Overview

• Machine Name : Generic Google Review Extractor
• Title : Google Reviews Using Selenium (Scrap data from Google hotels)
• Short Description :
  This machine uses Selenium to extract hotel URLs from Google and then gathers detailed data, including reviews, information, and ratings from Google.
• Detail Description : This machine utilizes Selenium to automate the retrieval of appropriate hotel URLs from Google. Once the URLs are obtained, the project proceeds to gather detailed hotel data through an API request. The collected data includes customer reviews, hotel information, and Google ratings. Input Validation: The input should be a list of hotel names in the following format: ["Hotel 1", "Hotel 2", "Hotel 3"]. The list should only contain string values representing hotel names. If the input is not a list, or is not in the specified structure, it will not execute properly.
• Machine Document : -

Classification

• Industry : Hospitality
• Category : General
• Sub Category : -

Compatibility and Dependencies

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

Specifications

• Input Specification : Download Gets Hotel names to fetch hotel review, rating and rates. hotel_name: [String]
• Output Specification : Download

  Passes fetch hotel review, rating and rates to be used by the next machine in the workflow. hotel_data: dict client_id: dict property_code: [object] customer_reviews: [object] name: String review: String time_of_review: String user_rating: Number max_rating: Number rooms: Number service: Number location: Number domain_name: String link_of_review: String hotel_info: dict hotel_name: String rates: Number totalreview: Number rating: String hotel_address: String contact_number: String official_site_link: String ratedate: String ratingfrom: String rate_data: [object] ratefrom: String rates: Number ratedate: String

Infrastructure Requirement

• OS Requirement : Linux
• CPU : 6
• Cloud : AWS
• RAM : 12Gi

Usage Stats

• Total OnBoarded : -
• Active OnBoarding : -