Land Scraper – Parcel Estimator Tool

Purpose

This Parcel Estimator Tool returns the following parcel data based on zip code:

• Average price per acre.
• Average price.
• average acreage.
• Most popular seller.
• listing popularity for the area.

How to Use the "scrape" file

• Input your given zip code.
• A new csv, with today's date, and charts will be exported to the "output" folder containing information on all LandModo results for your given zip code.
• Use this csv in the "visualize" file to further analyze your data.

How to Use the "Visualize" file

• Input the date of the csv you would like to see visualized.
• All images shown in the Visualization tool will be found in the "output>images" folder, saved with the date of the input csv.
• The visualization tool can be used repeatedly to visualize any csv made by the EDA file.

Tool Functionality

1. Import: Import previous tool data.
2. Scrape: Scrape Landmodo for parcel data into dataframe.
3. Clean: Clean dataframe's new rows.
4. Visualize: Plot charts, identifying the differences in key metrics.
5. Export: Export dataframe as CSV and charts as PNG files.

Resources

• Test Zip Code Dataset (33k < 42k): https://github.com/scpike/us-state-county-zip
• Paid dataset (42k): https://www.uszipcodeslist.net/csv#download
• Scrapable list of zip codes (not guaranteed to be all 42k): https://namecensus.com/zip-codes/alabama/
• Libraries: Pandas, Numpy, BeautifulSoup, Matplotlib, Seaborn, Plotly