BnBInsight

Airbnb Short-Term Rental Pricing Analysis

Overview

BnBInsight is a Python package that demonstrates the full data-science pipeline for analysing short-term rental pricing on Airbnb.

The package lets you:

  • Collect raw listing data from a Kaggle CSV and the AirROI API
  • Clean messy price, rating, and bedroom columns
  • Engineer features like amenities count and log-price
  • Analyse pricing drivers with OLS regression
  • Visualise distributions and relationships
  • Explore results interactively via a Streamlit dashboard

Hypothesis

Listings with more bedrooms, higher ratings, and more amenities have significantly higher nightly prices.

Model: log_price ~ bedrooms + rating + amenities_count

Install from PyPI

The easiest way to use BnBInsight is to install it directly from PyPI:

python -m venv myenv
source myenv/bin/activate        # macOS / Linux
# myenv\Scripts\activate         # Windows

pip install bnbinsight

python -c "import bnbinsight; print('works')"

Quick Start (from source)

git clone https://github.com/mbgardin/BnBInsight.git
cd BnBInsight
pip install -e .

python scripts/clean_data.py
python scripts/run_analysis.py
streamlit run app/streamlit_app.py