Liwango’s objective is to provide its B2B clients with timely, reliable information about the French short-term property rental market. To achieve this, Liwango regularly scrapes public-domain data from rental websites, including online marketplaces and aggregators.
To maximise the appeal of its own commercial offering, Liwango needs to ensure it can extract data reliably and at scale, while minimizing the risk of encountering technical obstructions.
For Liwango, understanding trends in the fast-moving vacation rental market depends on accessing large amounts of accurate, up-to-date information from rental providers.
“You can theoretically get hold of that data manually, but it’s really time-consuming on the scale we are operating and impossible in practice,” says Liwango CEO Aurélien Jemma. “As our business grew we wanted an easy-to-use automated tool to help us get the information we needed from other property rental websites in a quick and easy way.”
A specific challenge for Liwango is extracting data rapidly, reliably and at scale from frequently-visited websites that may have antibot measures implemented.
This can be a particular problem with online property rental platforms that frequently block legitimate attempts by third parties to extract large volumes of data.