Case Study: Dubizzle eliminates scraping, removes spam, and boosts advertiser ROI with Distil Networks

A Distil Networks Case Study

Preview of the Dubizzle Case Study

Dubizzle eliminates competitor scraping, improves user experience by removing spam, and increases advertiser ROI using Distil Networks

Dubizzle, the UAE’s leading classifieds site and part of the OLX network with more than 240 million unique visitors and 17 billion monthly page views, faced widespread automated abuse: competitors scraping listings to create copycat sites, bot-driven slowdowns and downtime, ad fraud skewing advertiser KPIs, fake listings degrading user trust, and SMS spam of advertisers. These problems harmed SEO, user experience, and advertiser relationships while inflating infrastructure and support costs.

Partnering with Distil Networks, Dubizzle deployed path-specific and fingerprint-based bot mitigation that proactively blocks scrapers and abusive automation. The result: scraping and visible spam were effectively eliminated on high-value pages, advertiser KPIs and ROI improved, support calls fell, analytics were purified for better marketing decisions, infrastructure costs dropped roughly 10%, and the team reclaimed hundreds of hours per quarter.


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Dubizzle

Mudasir Mirza

DevOps Manager


Distil Networks

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