Quantum-CLI: A powerful CLI to build, run, and test Quantum Machines.
Discover a variety of tools and services tailored to enhance your business operations. From property management systems to advanced analytics, explore solutions that empower you to make smarter decisions and achieve better outcomes.
This machine fetches the guest list and in-house list, processes them with Gemini AI, and generates a summary report.
This machine will get the guest list and in house list from email and pass csv text and files on to the next machine.
This machine fetches the guest list and in-house list, processes them with OpenAI, and generates a summary report.
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.
"On the books by month" data in the hotel industry, specifically about short and long details. In this context, "On the Books" refers to the current reservations or bookings that a hotel has made for upcoming periods. This is an important metric for hotel managers to forecast occupancy and revenue.
Let’s break this down in terms of short-term and long-term bookings and the details that might be provided in such reports:
Password Manager is the first machine in the workflow. It accepts a plain username and password as inputs, securely encrypts them, and provides the encrypted credentials for use by all downstream machines.
This Machine send emails with user-defined recipients, subject, message, and attachments. Supports multiple recipients (To, CC, BCC) and securely delivers emails via SMTP with authentication, including XLSX,PDF and other file formats.
"Total Last Year" (LY) in the context of data or reporting. This phrase is often used in various industries to refer to a comparison between the current year's performance and last year's performance. It can be applied to financial metrics, sales, customer data, or any other key performance indicators (KPIs)
This machine retrieves pending requests, and gives available rooms and BAR (Best Available Rate) details for further processing.
The Generic Events Machine utilizes PredictHQ to discover events based on a saved hotel location. It fetches event data by leveraging latitude, longitude, and location ID, helping users stay informed about local happenings within a specified date range.
This machine fetches the hotel and their competitor rates from the rategain by using some filters.
Hotel Dot Com Rateshop is an automated rate shopping machine that collects hotel room rates and availability data from Hotels.com using browser automation and API interception, delivering standardized pricing intelligence for competitive analysis.
The ICRM RateShop Request machine serves as the initial component in the workflow, responsible for gathering and organizing all incoming RateShop requests. It ensures that each request is accurately collected, validated, and prepared for further analysis and processing.
The ICRM Rateshop Update Machine processes incoming RateShop data, stores it in the database, and automates the generation of summary emails. It streamlines data handling and ensures that stakeholders receive timely updates, contributing to a more efficient RateShop workflow.
This machine generates company names based on AI-processed text summaries.
This machine is responsible for uploading and storing all forecasted data into the database. It ensures that the generated forecast values are securely saved, well-structured, and made readily available for business analysis and reporting.
Processes company data, structures it for easy access, and provides key information.
Converts JSON data to CSV format and provides the output as base64-encoded string.
Converts JSON data to CSV format and provides the output as base64-encoded string.
This machine uses Selenium to extract hotel URLs from Google and then gathers detailed data, including reviews, information, and ratings from Google.
This machine uses a pre-trained model to analyze customer review sentiments based on extracted aspects, identifying positive, negative, or neutral feedback.
This machine retrieves sentiment-analyzed hotel data and inserts it into a database for further use and analysis.
Converts JSON data to Excel format and provides the output as base64-encoded string.
The Mongo DB Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to MongoDB databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
The PostgreSQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to PostgreSQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
This S3 Bucket machine performs two main tasks: reading files from an S3 bucket and uploading files to it, based on the user-provided configuration and file data. And if user in write mode then it returning the S3 object URL and file name, with optional folder placement within the bucket.
The MySQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to MySQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
The MS SQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to MS SQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
This machine fetches the hotel and their competitor rates from the agoda.
This machine uses APIs to fetch hotel reviews and ratings from Tripadvisor in the selected language.
This machine fetches the hotel and their competitor rates from the expedia.
Booking Dot Com Rateshop is an automated rate shopping machine that collects hotel room rates and availability data from Booking.com for specified date ranges using provided rate shop URLs, enabling reliable and consistent competitor pricing insights.
TOS POS Daily Closing Machine is responsible for processing daily closing reports from the Point of Sale (POS) system. It handles financial data related to various payment methods and ensures accurate reporting for business reconciliation.
TOS POS Daily Sales Machine is responsible for processing daily sales reports from the Point of Sale (POS) system. It handles financial data related to various payment methods and ensures accurate reporting for business reconciliation.
This machine uses Selenium to extract hotel URLs from Google and then gathers detailed data, including reviews, information, and ratings from Google.
This machine uses a pre-trained model to analyze customer review sentiments based on extracted aspects, identifying positive, negative, or neutral feedback.
This machine retrieves RateShop requests and provides available room details along with the Best Available Rate (BAR).
A domain extraction machine that classifies metadata into relevant business domains and subdomains, providing structured categorization for better data organization.
Metadata Extractor connects to a database using a connection string and extracts its metadata. It supports multiple database types.
This Rateshop Lighthouse connects to a database, retrieves property information, fetches Lighthouse reports from Outlook, processes rate shop data, and updates the database with the new rate information for further analysis.
This machine takes Google Service Account credentials to authenticate and access a restricted Google Sheet via a provided link. It then extracts the Google Sheet data, processes it, and converts it into JSON format.
This machine automates the process of delivering generated invoices to clients via Gmail. It retrieves invoice PDFs and client email addresses from the structured JSON data and securely sends the invoices as attachments.
This machine integrates with Google Sheets to convert sheet data into JSON format. It then validates whether all required keys are present in the JSON. If all necessary fields are available, the system proceeds to create an invoice. The invoice is formatted with essential details, including client information, itemized charges, and total amounts. Once generated, it is downloaded and stored in PDF format.
This machine retrieves scheduled social media posts for the current day. It first captures today’s date and sends it as a payload to a predefined API. If the API response is successful, it extracts the list of scheduled uploads. Finally, it packages this list as output for the next step in the automation pipeline.
This machine automates the process of uploading scheduled posts to social media platforms like Google Business, Facebook, and Instagram. It takes input data containing post details, including captions, tags, media URLs, and platform-specific flags. Based on the configuration, it uploads the content to the selected platforms and logs any failures. After processing each post, it updates the schedule status accordingly and returns a summary of the results.
This machine enables interaction with any API endpoint using standard HTTP methods. Users can input the API URL, choose the request method (GET, POST, PUT, DELETE), and provide a JSON payload. It simplifies sending structured requests without writing code manually. Ideal for testing, automation, or integration workflows.
This machine automates the creation of social media posts by merging images or videos with design frames and watermarks. It supports both image and video inputs, dynamically resizing and overlaying components based on the user's plan type (free or paid). The processed content is uploaded to AWS S3 and linked back to a scheduling system through API updates. The machine fetches configuration, post data, and watermarks from a remote server, ensuring it's always in sync with backend data.
Axisrooms OTA Report Automation automates the process of downloading OTA performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
Axisrooms CM Report Automation automates the process of downloading CM performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
Axisrooms PC Report Automation automates the process of downloading PC performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
STAAH OTA Report Automation automates the process of downloading OTA performance reports from the STAAH platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
STAAH CM Report Automation automates the process of downloading CM performance reports from the STAAH platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
A direct MySQL backup tool that streams `.sql` backups and uploads them directly to AWS S3 without storing the file locally.
Scrapes doctor data from the US News Health website based on user’s chosen speciality.
Scrapes doctor data from Castle Connolly website based on user’s chosen speciality.
Eglobe OTA Report Automation automates the process of downloading OTA performance reports from the Eglobe platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
Eglobe CM Report Automation automates the process of downloading CM performance reports from the Eglobe platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
Eglobe PC Report Automation automates the process of downloading PC performance reports from the Eglobe platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
web scraper for collecting golf tee-time data from Thorntree Golf website.
Fetches Google Business ratings and reviews, stores them in the database, and performs sentiment analysis to evaluate customer feedback.
This machine retrieves and displays all file names from a specified OneDrive folder using secure Microsoft Graph API access.
TeeOffGolf Extractor is an automated web scraping machine that collects detailed tee time availability and pricing data from TeeOff.com for selected golf courses across configurable date ranges, delivering structured and reliable data for downstream processing.
This machine validates incoming workflow data and sends it as a JSON webhook to external systems, including a Beeceptor endpoint for monitoring and testing.
This machine securely sends input data or output data of dependent machine via email using SMTP. It accepts sender credentials, recipient details, and JSON input, and delivers the data as JSON or auto-generated Excel attachments to the configured mailbox.
Write One Drive is an automated file delivery machine that securely uploads workflow data to Microsoft OneDrive in JSON or Excel format, enabling seamless data storage, sharing, and integration.
This machine takes various user inputs, including numbers, strings, and JSON objects, processes them, and logs the received data. It helps in capturing and displaying structured input for further analysis.
IHGcom Rate Shopping is an automated rate intelligence machine that collects room rates, availability, and pricing details from IHG.com for specified date ranges, enabling accurate competitive price monitoring and supporting data-driven revenue management decisions.
This machine forecasts Rooms Sold by closely tracking how bookings build up over time. It uses pickup logic to understand day-by-day changes in reservations, learning from historical booking behavior and current on-the-books data. By observing how demand naturally evolves as arrival dates approach, the machine produces a dependable Rooms Sold Forecast that reflects real booking patterns. This forecast supports informed planning and helps teams anticipate future demand with greater confidence.
GolfNow Data is an automated web scraping machine that extracts detailed tee time information from GolfNow.com for specific golf courses based on configurable input parameters.
Golf GCS Uploader is a data pipeline machine that uploads scraped golf tee time records to Google Cloud Storage (GCS) in NDJSON format, ensuring clean structure, standardized naming, and rich scrape metadata for downstream processing.
Marriott dotcom Rateshop is an automated rate shopping machine that collects room rates and availability data from Marriott.com for specified date ranges using provided rate shop URLs, enabling accurate and consistent competitor pricing insights.
Supreme Golf is an automated data extraction machine that collects structured tee time availability and pricing information for golf courses across a specified date range, delivering enriched and standardized tee time records.
Generic Brand Golf Extractor is an automated scraping machine that collects detailed tee time availability and pricing data from TeeItUp-powered golf booking systems for multiple golf courses across configurable date ranges.
Riverside Golf is an automated tee time extraction machine that collects availability and pricing data from the Riverside Golf booking system across configurable date ranges, delivering structured and reliable tee time records.
BearCreek Golf is an automated tee time scraping machine that extracts available tee time data from the Bear Creek Golf Course website while handling advanced bot protection mechanisms.
Generic S3 Operation Machine provides a unified and configurable interface to perform multiple Amazon S3 operations through a single machine.
Data to File Machine enables seamless conversion of structured data, text, and encoded content into physical files stored on the local filesystem.
Generic Google Drive Operation Machine provides a unified and configurable interface to perform multiple Google Drive and Shared Drive operations using a single machine.
Password Vault Machine provides a secure and centralized way to retrieve authentication credentials and access tokens for multiple systems and services.
This machine is designed to be used as a trusted credential source for downstream machines and integrations.
Google Sheets Automation Machine enables secure and action-driven interaction with Google Sheets using authentication.
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.
"On the books by month" data in the hotel industry, specifically about short and long details. In this context, "On the Books" refers to the current reservations or bookings that a hotel has made for upcoming periods. This is an important metric for hotel managers to forecast occupancy and revenue.
Let’s break this down in terms of short-term and long-term bookings and the details that might be provided in such reports:
Password Manager is the first machine in the workflow. It accepts a plain username and password as inputs, securely encrypts them, and provides the encrypted credentials for use by all downstream machines.
This Machine send emails with user-defined recipients, subject, message, and attachments. Supports multiple recipients (To, CC, BCC) and securely delivers emails via SMTP with authentication, including XLSX,PDF and other file formats.
"Total Last Year" (LY) in the context of data or reporting. This phrase is often used in various industries to refer to a comparison between the current year's performance and last year's performance. It can be applied to financial metrics, sales, customer data, or any other key performance indicators (KPIs)
This machine retrieves pending requests, and gives available rooms and BAR (Best Available Rate) details for further processing.
The Generic Events Machine utilizes PredictHQ to discover events based on a saved hotel location. It fetches event data by leveraging latitude, longitude, and location ID, helping users stay informed about local happenings within a specified date range.
This machine fetches the hotel and their competitor rates from the rategain by using some filters.
This machine generates company names based on AI-processed text summaries.
This machine is responsible for uploading and storing all forecasted data into the database. It ensures that the generated forecast values are securely saved, well-structured, and made readily available for business analysis and reporting.
Processes company data, structures it for easy access, and provides key information.
Converts JSON data to CSV format and provides the output as base64-encoded string.
Converts JSON data to CSV format and provides the output as base64-encoded string.
This machine uses Selenium to extract hotel URLs from Google and then gathers detailed data, including reviews, information, and ratings from Google.
Converts JSON data to Excel format and provides the output as base64-encoded string.
This machine enables interaction with any API endpoint using standard HTTP methods. Users can input the API URL, choose the request method (GET, POST, PUT, DELETE), and provide a JSON payload. It simplifies sending structured requests without writing code manually. Ideal for testing, automation, or integration workflows.
web scraper for collecting golf tee-time data from Thorntree Golf website.
TeeOffGolf Extractor is an automated web scraping machine that collects detailed tee time availability and pricing data from TeeOff.com for selected golf courses across configurable date ranges, delivering structured and reliable data for downstream processing.
This machine takes various user inputs, including numbers, strings, and JSON objects, processes them, and logs the received data. It helps in capturing and displaying structured input for further analysis.
Supreme Golf is an automated data extraction machine that collects structured tee time availability and pricing information for golf courses across a specified date range, delivering enriched and standardized tee time records.
Generic Brand Golf Extractor is an automated scraping machine that collects detailed tee time availability and pricing data from TeeItUp-powered golf booking systems for multiple golf courses across configurable date ranges.
Hotel Dot Com Rateshop is an automated rate shopping machine that collects hotel room rates and availability data from Hotels.com using browser automation and API interception, delivering standardized pricing intelligence for competitive analysis.
The ICRM RateShop Request machine serves as the initial component in the workflow, responsible for gathering and organizing all incoming RateShop requests. It ensures that each request is accurately collected, validated, and prepared for further analysis and processing.
The ICRM Rateshop Update Machine processes incoming RateShop data, stores it in the database, and automates the generation of summary emails. It streamlines data handling and ensures that stakeholders receive timely updates, contributing to a more efficient RateShop workflow.
This machine fetches the hotel and their competitor rates from the agoda.
This machine uses APIs to fetch hotel reviews and ratings from Tripadvisor in the selected language.
This machine fetches the hotel and their competitor rates from the expedia.
Booking Dot Com Rateshop is an automated rate shopping machine that collects hotel room rates and availability data from Booking.com for specified date ranges using provided rate shop URLs, enabling reliable and consistent competitor pricing insights.
This machine retrieves RateShop requests and provides available room details along with the Best Available Rate (BAR).
This Rateshop Lighthouse connects to a database, retrieves property information, fetches Lighthouse reports from Outlook, processes rate shop data, and updates the database with the new rate information for further analysis.
IHGcom Rate Shopping is an automated rate intelligence machine that collects room rates, availability, and pricing details from IHG.com for specified date ranges, enabling accurate competitive price monitoring and supporting data-driven revenue management decisions.
This machine fetches the guest list and in-house list, processes them with Gemini AI, and generates a summary report.
This machine will get the guest list and in house list from email and pass csv text and files on to the next machine.
This machine fetches the guest list and in-house list, processes them with OpenAI, and generates a summary report.
The Mongo DB Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to MongoDB databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
The PostgreSQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to PostgreSQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
This S3 Bucket machine performs two main tasks: reading files from an S3 bucket and uploading files to it, based on the user-provided configuration and file data. And if user in write mode then it returning the S3 object URL and file name, with optional folder placement within the bucket.
The MySQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to MySQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
The MS SQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to MS SQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
This machine retrieves and displays all file names from a specified OneDrive folder using secure Microsoft Graph API access.
This machine validates incoming workflow data and sends it as a JSON webhook to external systems, including a Beeceptor endpoint for monitoring and testing.
This machine securely sends input data or output data of dependent machine via email using SMTP. It accepts sender credentials, recipient details, and JSON input, and delivers the data as JSON or auto-generated Excel attachments to the configured mailbox.
Write One Drive is an automated file delivery machine that securely uploads workflow data to Microsoft OneDrive in JSON or Excel format, enabling seamless data storage, sharing, and integration.
Golf GCS Uploader is a data pipeline machine that uploads scraped golf tee time records to Google Cloud Storage (GCS) in NDJSON format, ensuring clean structure, standardized naming, and rich scrape metadata for downstream processing.
Generic S3 Operation Machine provides a unified and configurable interface to perform multiple Amazon S3 operations through a single machine.
Generic Google Drive Operation Machine provides a unified and configurable interface to perform multiple Google Drive and Shared Drive operations using a single machine.
Password Vault Machine provides a secure and centralized way to retrieve authentication credentials and access tokens for multiple systems and services.
This machine is designed to be used as a trusted credential source for downstream machines and integrations.
Google Sheets Automation Machine enables secure and action-driven interaction with Google Sheets using authentication.
This machine takes Google Service Account credentials to authenticate and access a restricted Google Sheet via a provided link. It then extracts the Google Sheet data, processes it, and converts it into JSON format.
This machine automates the process of delivering generated invoices to clients via Gmail. It retrieves invoice PDFs and client email addresses from the structured JSON data and securely sends the invoices as attachments.
This machine integrates with Google Sheets to convert sheet data into JSON format. It then validates whether all required keys are present in the JSON. If all necessary fields are available, the system proceeds to create an invoice. The invoice is formatted with essential details, including client information, itemized charges, and total amounts. Once generated, it is downloaded and stored in PDF format.
Axisrooms OTA Report Automation automates the process of downloading OTA performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
Axisrooms CM Report Automation automates the process of downloading CM performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
Axisrooms PC Report Automation automates the process of downloading PC performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
STAAH OTA Report Automation automates the process of downloading OTA performance reports from the STAAH platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
STAAH CM Report Automation automates the process of downloading CM performance reports from the STAAH platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
Eglobe OTA Report Automation automates the process of downloading OTA performance reports from the Eglobe platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.
TOS POS Daily Closing Machine is responsible for processing daily closing reports from the Point of Sale (POS) system. It handles financial data related to various payment methods and ensures accurate reporting for business reconciliation.
TOS POS Daily Sales Machine is responsible for processing daily sales reports from the Point of Sale (POS) system. It handles financial data related to various payment methods and ensures accurate reporting for business reconciliation.
This machine uses Selenium to extract hotel URLs from Google and then gathers detailed data, including reviews, information, and ratings from Google.
This machine uses a pre-trained model to analyze customer review sentiments based on extracted aspects, identifying positive, negative, or neutral feedback.
This machine automates the creation of social media posts by merging images or videos with design frames and watermarks. It supports both image and video inputs, dynamically resizing and overlaying components based on the user's plan type (free or paid). The processed content is uploaded to AWS S3 and linked back to a scheduling system through API updates. The machine fetches configuration, post data, and watermarks from a remote server, ensuring it's always in sync with backend data.
GolfNow Data is an automated web scraping machine that extracts detailed tee time information from GolfNow.com for specific golf courses based on configurable input parameters.
Data to File Machine enables seamless conversion of structured data, text, and encoded content into physical files stored on the local filesystem.
This machine retrieves scheduled social media posts for the current day. It first captures today’s date and sends it as a payload to a predefined API. If the API response is successful, it extracts the list of scheduled uploads. Finally, it packages this list as output for the next step in the automation pipeline.
This machine automates the process of uploading scheduled posts to social media platforms like Google Business, Facebook, and Instagram. It takes input data containing post details, including captions, tags, media URLs, and platform-specific flags. Based on the configuration, it uploads the content to the selected platforms and logs any failures. After processing each post, it updates the schedule status accordingly and returns a summary of the results.
This machine uses a pre-trained model to analyze customer review sentiments based on extracted aspects, identifying positive, negative, or neutral feedback.
This machine forecasts Rooms Sold by closely tracking how bookings build up over time. It uses pickup logic to understand day-by-day changes in reservations, learning from historical booking behavior and current on-the-books data. By observing how demand naturally evolves as arrival dates approach, the machine produces a dependable Rooms Sold Forecast that reflects real booking patterns. This forecast supports informed planning and helps teams anticipate future demand with greater confidence.
No machines available in this category.