Inventory data from website to Airtable

Job ID: 37632278

Budget: $250 – $750 USD

We have clients who publish their car inventory data on their websites. We need to get that data from their website and feed it to our Airtable base.

The data set consists of vehicles. Each vehicle will have a stock or ID number, VIN number, year, make, model, color, and location.

The inventory data is available both on the dealership's own website and cargurus.com.

You will need to:

- create a cloud based scraper to pull inventory data from either of the 2 sources
- validate the data including check for duplicates and removing cars that have been sold/disposed
- connect the data to Airtable
Related categories: Python Web Scraping Data Scraping ETL Airtable