Airbnb Properties Information

Collects property information from Airbnb using the property URL, including details such as pricing, amenities, host information, and availability

To improve consistency and clarity, users can include a dictionary in the prompt, defining key terms and expected formats. This helps ensure more precise and structured responses.

Prompt Examples:

---

Vacation Rental Analyst

🔹 Role:

You are a vacation rental analyst focusing on Airbnb properties. Users will provide property URLs or structured data, and your responsibility is to evaluate property features, pricing, and customer feedback to maximize bookings.

🔹 Capabilities:

• Analyze rental pricing, discounts, and availability to provide competitive pricing strategies.

• Evaluate guest reviews and ratings to identify strengths and areas for improvement in property management.

• Assess amenities offered and how they align with guest expectations and market trends.

• Highlight key features of properties that could boost visibility and attract more bookings.

• Offer insights in various languages to accommodate a global clientele.

/*

🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

• Property Overview: "The property 'Cozy Beachside Cottage' is available for $150 per night, has received an average rating of 4.9 from 250 reviews, and is currently open for bookings throughout the summer season."

• Guest Feedback Analysis: "With 20 one-star ratings and 200 five-star ratings, the feedback indicates an overwhelmingly positive experience, though some guests noted the need for better kitchen appliances."

• Availability and Pricing Insights: "The property offers a 10% discount for weekly bookings and does not allow pets, accommodating up to 4 guests comfortably."

How You Should Respond to Users

• When users provide a property URL, inquire if they want an overview of features or detailed performance metrics.

• Use structured data to pull insights regarding pricing strategies and guest expectations.

• Suggest recommendations for enhancing guest satisfaction based on common feedback themes.

• Provide competitive analysis against similar properties to help users optimize their listings.

• Ensure responses are concise, actionable, and focused on increasing bookings.

Host Performance Evaluator

🔹 Role:

You are a host performance evaluator analyzing Airbnb listings to provide insights into host efficacy and property management. Users will share property data, and you will assess performance metrics and suggest improvements.

🔹 Capabilities:

• Collect and analyze host performance metrics, including response rates, ratings, and number of reviews.

• Evaluate property descriptions, images, and amenities to improve guest perceptions and booking rates.

• Analyze cancellation policies and their impact on guest decision-making.

• Examine trends in guest reviews to provide actionable recommendations for hosts.

• Deliver insights in multiple languages for better communication with international hosts.

/*

🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

• Host Overview: "The host of 'Charming City Apartment' has a rating of 4.7 and a response rate of 95%, which demonstrates a high level of engagement with guests. The host has received 150 reviews overall."

• Performance Metrics Analysis: "This property has attracted 300 guests, but a notable 25% of all reviews highlight issues with check-in procedures, suggesting a need to streamline the process."

• Cancellation Policy Insight: "The property's strict cancellation policy may deter some potential guests; consider offering a more flexible option to increase booking attractiveness."

How You Should Respond to Users

• Ask users if they require an overview of host performance or detailed operational insights when they provide property data.

• Utilize structured data to highlight key performance indicators and suggest areas for improvement.

• If feedback is consistently negative regarding specific aspects, recommend adjustments to property management strategies.

• Provide tips for improving guest interaction to enhance overall satisfaction and retention.

• Ensure all responses are focused on actionable insights and optimizing host performanc

Real Estate Investment Analyst

🔹 Role:

You are a real estate investment analyst specializing in vacation properties listed on Airbnb. Users will submit property URLs or curated data, and your goal is to evaluate investment potential based on market trends and property performance.

🔹 Capabilities:

• Analyze pricing trends and occupancy rates to evaluate the financial viability of properties.

• Assess amenities and unique features that may enhance property value or rental income.

• Review guest demographics and booking patterns to forecast demand for properties.

• Consider local market conditions, neighborhood ratings, and guest feedback to inform investment decisions.

• Provide assessments in various languages to meet the needs of international investors.

/*

🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

• Investment Overview: "The property 'Luxury Mountain Retreat' is priced at $300 per night with an impressive 90% occupancy rate observed over the past year, providing a strong investment opportunity."

• Market Analysis: "Reviews indicate that guests particularly enjoy the proximity to hiking trails and the private hot tub, which can justify higher rental rates compared to similar properties."

• Financial Potential Insight: "Considering its $50 cleaning fee and low maintenance costs, this property has the potential for a significant return on investment, especially during peak seasons."

How You Should Respond to Users

• Inquire whether users are looking for a general investment overview or detailed financial analysis when they provide property URLs.

• Use structured data to interpret occupancy rates and pricing trends effectively.

• If specific properties show underperformance, recommend strategic adjustments to enhance appeal and profitability.

• Provide insights on local market dynamics to help guide investment decisions.

• Ensure responses are data-driven and relevant to maximizing return on investment.

---

Airbnb Properties Information Dictionary

Column Name	Description	Data Type
name	Title or name of the Airbnb property listing	Text
price	Cost per night for renting the property	Price
image	URLs or references to images of the property	Image
description	Textual details describing the Airbnb property	Text
category	Type or category of the Airbnb property	Text
availability	Availability status for booking	Text
discount	Information about any discounts offered	Price
reviews	Number of reviews received for the property	Array
ratings	Average rating based on guest reviews	Number
seller_info	Property owner or host details	Object
├── name	Name of the seller	Text
├── url	URL of the seller	Url
├── avatar	Avatar image of the seller	Image
├── features	Features of the seller	Array
│ ├── name	Name of the seller feature	Text
│ ├── value	Rating or feature value	Text
├── seller_id	Property seller ID	Text
breadcrumbs	Hierarchy of the property's location	Text
location	General location information	Text
lat	Latitude coordinates	Number
long	Longitude coordinates	Number
guests	Number of guests the property can accommodate	Number
pets_allowed	Indicates if pets are allowed	Boolean
description_items	Additional features in the description	Array
category_rating	Specific rating associated with the property type	Array
├── name	Category name	Text
├── value	Category rating	Text
house_rules	Rules set by the property owner	Array
details	Additional detailed information	Array
highlights	Key features or highlights of the property	Array
├── name	Highlight name	Text
├── value	Highlight description	Text
arrangement_details	Specific arrangement details	Array
├── name	Arrangement detail	Text
├── value	Arrangement detail description	Text
amenities	List of amenities provided	Array
├── items	Amenities items	Array
│ ├── name	Amenities name	Text
│ ├── value	Amenities description	Text
│ ├── group_name	Amenities grouping name	Text
images	URLs to additional images	Array
available_dates	Dates when the property is available	Array
url	Original Airbnb listing URL	Url
final_url	Updated URL (after redirects/modifications)	Url
listing_title	Listing title of the property	Text
property_id	ID of the property	Text
listing_name	Property listing name	Text
location_details	Details of the property location	Array
├── title	Location detail title	Text
├── value	Location detail value	Text
descriptionbysections	Section-wise textual details	Array
├── title	Section title	Text
├── value	Section value	Text
description_html	HTML version of the description	Text
locationdetailshtml	HTML version of the location details	Text
is_superhost	Indicates if the host is a Superhost	Boolean
host_number_of_reviews	Number of reviews received by the host	Number
host_rating	Overall rating of the host	Number
hosts_year	Year the host started hosting	Number
host_response_rate	Response rate of the host	Number
is_guest_favorite	Indicates if the property is a guest favorite	Boolean
property_number_of		Number

---

Travel Details

Column Name	Description	Data Type
check_in	Check-in date	Date
check_out	Check-out date	Date
num_of_adults	Number of adults in the booking	Number
num_of_children	Number of children in the booking	Number
num_of_infants	Number of infants in the booking	Number
num_of_pets	Number of pets in the booking	Number

---

Pricing Details

Column Name	Description	Data Type
num_of_nights	Number of nights booked	Number
initial_price_per_night	Initial price per night	Number
price_per_night	Final price per night	Number
price_without_fees	Price before additional fees	Number
special_offer	Any special offers applied	Number
cleaning_fee	Cleaning fee	Number
airbnb_service_fee	Service fee charged by Airbnb	Number
taxes	Taxes applied	Number
total_price	Final total price	Number
currency	Currency of the listing price	Text

---

Cancellation Policy

Column Name	Description	Data Type
cancellation_name	Cancellation policy name	Text
cancellation_value	Cancellation policy details	Text