Proxy libraries and own made lists to avoid Airbnb getting upset 😉.MongoDB as a powerhouse to store the data with currently more than 15 Gb and 1M listings so far.Python brain that runs continuously grabbing data from Airbnb updating the front end every few days.That is the little story behind how we ended up building Airbnb Stats: a site that can provide some statistics about the current listings, including location of the most profitable areas or daily average revenue per city.

This simple script started to grow and evolved into a complete system capable of crawl regularly almost all room in Airbnb for an entire city. So minimize this risk, we started to collect data from Airbnb with a simple script. But the lack of statistics made this a risky decision. To achieve this objective we considered to offset the rent using Airbnb to rent a spare room on their future apartment. But we realized that the coolest cities also included a extra premium on their rents. We were very happy and excited with that idea. We, Oriol Batalla and Andrea Estalayo, are a curious Engineer and a innovative Interior Architect that were looking to move to a bigger city.

Monthly airbnb near me