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| Marketplace | Generic RateShop

Generic RateShop

1.0.2 0
This machine fetches the hotel and their competitor rates from the rategain by using some filters.

Free

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Machine Overview
  • Machine Name : Generic RateShop
  • Title : Generic Rate Shop
  • Short Description :
    This machine fetches the hotel and their competitor rates from the rategain by using some filters.
  • Detail Description : This machine is designed to interact with the RateGain portal to retrieve dynamic rate data for both the self property and its competitive set. It fetches pricing insights that help in benchmarking the hotel's current rates against those of its competitors. The module supports several filter parameters such as total number of guests, length of stay (LOS), and specific distribution channels like Brand website, Booking.com, Agoda, Expedia, or Tripadvisor. These filters help fine-tune the rate analysis based on user preferences or business needs. Additionally, the machine is capable of identifying and flagging the lowest or highest rates among competitors for a given date and configuration, which assists in making informed pricing and yield management decisions. The returned data enables strategic insights for pricing optimization, competitive positioning, and revenue enhancement. This component is essential for hotels aiming to stay competitive in the market through data-driven rate intelligence.
  • Machine Document : -
Classification
  • Industry : Hospitality
  • Category : General
  • Sub Category : -
Compatibility and Dependencies
  • Dependent Machines : -
  • Compatible Machines : -
  • Version : 1.0.2
Specifications
  • Input Specification : Download

    Accepts configuration and property-specific parameters required for retrieving comparative pricing data for a selected property over a future date range. The data includes property identifiers, authentication tokens, and search filters to define the scope and source of competitive intelligence.

    • Up To Days (Integer): Number of days ahead from the current date for which the pricing data is to be fetched.
    • Rategain Property SID (String): A unique identifier for the property within the RateGain system.
    • Rategain Property Token (String): Secure token used for authenticating access to RateGain's API for the given property.
    • Rategain My Property Comp IDs (Array[String]): A list of competitor property IDs used for comparative pricing analysis against the self property.
    • Rategain My Property ID (String): The identifier for the main property for which price comparison is being made.
    • Total Guest (Integer): Number of guests to be considered while retrieving pricing data.
    • Total LOS (Integer): Length of stay in days for which the pricing comparison should be made.
    • Channel (String): The specific distribution or booking channel from which the data should be fetched. Only one channel can be specified per request.
  • Output Specification : Download

    Contains scheduled rate shop data entries capturing competitor pricing information, booking details, guest configurations, and pricing flags. This data is used for evaluating rate competitiveness and understanding market trends across various booking channels and dates.

    • RateShop Schedule ID (Integer): Unique identifier for the scheduled rate shop entry.
    • Day Of Week (String): The name of the day (e.g., Monday, Tuesday) associated with the check-in date.
    • Competitor ID (Integer): The unique identifier for the competitor property whose rate is being compared.
    • CheckIn Date (Date): The date for which the pricing is applicable and the check-in is scheduled.
    • Rate (Float): The listed rate or price fetched for the competitor's property.
    • Discount (Float): Discount applied on the base rate, if any.
    • Member Discount (Float): Discount offered specifically to members or loyal customers.
    • Channel (String): The distribution or booking channel from which the rate was sourced (e.g., OTA, Brand site).
    • Guests (Integer): Number of guests for whom the rate applies.
    • LOS (Integer): Length of stay in days for the rate being considered.
    • Event IDs (Integer): Identifier for any event(s) influencing the rate, such as local conferences, holidays, or festivals.
    • Room Type (String): The category or type of room associated with the fetched rate.
    • Is Lowest Rate (Boolean): A boolean flag indicating whether the fetched rate is the lowest among the competitor set for the given date and conditions.
Infrastructure Requirement
  • OS Requirement : Linux
  • CPU : 1
  • Cloud : AWS
  • RAM : 2Gi
Usage Stats
  • Total OnBoarded : -
  • Active OnBoarding : -
Parameter Name Type Description
Up To Days Number
Rategain Property Sid Text Box
Rategain Property Token Text Box
Rategain My Property Comp Ids Json
Rategain My Property Id Text Box
Total Guest Number
Total Los Number
Channel Dropdown Single Select

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Annual Summary Overview machine is the fifth machine in workflow for          summarize the occupancy data in table. It’s provide Occupancy, RMS, ADR, Revenue and         same things from the last year.

Choice PMS Connection machine is the third machine in workflow for       collecting inputes from the user and getting reservation and occupancy reports.

Choice PMS Res Standardization machine is the forth machine in workflow for making reservation and occupancy data to standard table structure which are       used for all of the properties.

It seems you might be referring to Net Standard Last Year (LY), which is a common term in the hotel industry (and other industries) used to compare the financial performance or key metrics of the current year with the same period in the previous year. LY (Last Year) is typically used in reports and data analysis to assess growth, trends, and changes.

April 11, 2025

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December 10, 2024

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December 10, 2024

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View Similar

Annual Summary Overview machine is the fifth machine in workflow for          summarize the occupancy data in table. It’s provide Occupancy, RMS, ADR, Revenue and         same things from the last year.

Choice PMS Connection machine is the third machine in workflow for       collecting inputes from the user and getting reservation and occupancy reports.

Choice PMS Res Standardization machine is the forth machine in workflow for making reservation and occupancy data to standard table structure which are       used for all of the properties.

It seems you might be referring to Net Standard Last Year (LY), which is a common term in the hotel industry (and other industries) used to compare the financial performance or key metrics of the current year with the same period in the previous year. LY (Last Year) is typically used in reports and data analysis to assess growth, trends, and changes.

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View Similar

Annual Summary Overview machine is the fifth machine in workflow for          summarize the occupancy data in table. It’s provide Occupancy, RMS, ADR, Revenue and         same things from the last year.

Choice PMS Connection machine is the third machine in workflow for       collecting inputes from the user and getting reservation and occupancy reports.

Choice PMS Res Standardization machine is the forth machine in workflow for making reservation and occupancy data to standard table structure which are       used for all of the properties.

It seems you might be referring to Net Standard Last Year (LY), which is a common term in the hotel industry (and other industries) used to compare the financial performance or key metrics of the current year with the same period in the previous year. LY (Last Year) is typically used in reports and data analysis to assess growth, trends, and changes.

This machine fetches the self hotel and competitor hotels rates from the rate gain with various channel.

View Similar

Annual Summary Overview machine is the fifth machine in workflow for          summarize the occupancy data in table. It’s provide Occupancy, RMS, ADR, Revenue and         same things from the last year.

Choice PMS Connection machine is the third machine in workflow for       collecting inputes from the user and getting reservation and occupancy reports.

Choice PMS Res Standardization machine is the forth machine in workflow for making reservation and occupancy data to standard table structure which are       used for all of the properties.

It seems you might be referring to Net Standard Last Year (LY), which is a common term in the hotel industry (and other industries) used to compare the financial performance or key metrics of the current year with the same period in the previous year. LY (Last Year) is typically used in reports and data analysis to assess growth, trends, and changes.

Specifications
  • Input Specification : Download

    Accepts configuration and property-specific parameters required for retrieving comparative pricing data for a selected property over a future date range. The data includes property identifiers, authentication tokens, and search filters to define the scope and source of competitive intelligence.

    • Up To Days (Integer): Number of days ahead from the current date for which the pricing data is to be fetched.
    • Rategain Property SID (String): A unique identifier for the property within the RateGain system.
    • Rategain Property Token (String): Secure token used for authenticating access to RateGain's API for the given property.
    • Rategain My Property Comp IDs (Array[String]): A list of competitor property IDs used for comparative pricing analysis against the self property.
    • Rategain My Property ID (String): The identifier for the main property for which price comparison is being made.
    • Total Guest (Integer): Number of guests to be considered while retrieving pricing data.
    • Total LOS (Integer): Length of stay in days for which the pricing comparison should be made.
    • Channel (String): The specific distribution or booking channel from which the data should be fetched. Only one channel can be specified per request.
  • Output Specification : Download

    Contains scheduled rate shop data entries capturing competitor pricing information, booking details, guest configurations, and pricing flags. This data is used for evaluating rate competitiveness and understanding market trends across various booking channels and dates.

    • RateShop Schedule ID (Integer): Unique identifier for the scheduled rate shop entry.
    • Day Of Week (String): The name of the day (e.g., Monday, Tuesday) associated with the check-in date.
    • Competitor ID (Integer): The unique identifier for the competitor property whose rate is being compared.
    • CheckIn Date (Date): The date for which the pricing is applicable and the check-in is scheduled.
    • Rate (Float): The listed rate or price fetched for the competitor's property.
    • Discount (Float): Discount applied on the base rate, if any.
    • Member Discount (Float): Discount offered specifically to members or loyal customers.
    • Channel (String): The distribution or booking channel from which the rate was sourced (e.g., OTA, Brand site).
    • Guests (Integer): Number of guests for whom the rate applies.
    • LOS (Integer): Length of stay in days for the rate being considered.
    • Event IDs (Integer): Identifier for any event(s) influencing the rate, such as local conferences, holidays, or festivals.
    • Room Type (String): The category or type of room associated with the fetched rate.
    • Is Lowest Rate (Boolean): A boolean flag indicating whether the fetched rate is the lowest among the competitor set for the given date and conditions.

Updates and Community

Machine Developer

BotCraft Engineers
  • Last Updated
  • April 11, 2025
  • Version
  • 1.0.2
Version History

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