Case Study: Apify saves engineering time and doubles upsells with Keboola

How Apify saved 3.5 engineering days per month while DOUBLING upsells

Apify, a platform for building and monitoring web scrapers and browser automation tools, needed a better way to handle analytics and data operations as it scaled. Before using Keboola, its team relied on custom AWS Lambda scripts and production MongoDB for reporting, which created inaccessible data, slowed production, made onboarding difficult, and made it expensive and time-consuming to add new data sources.

With Keboola, Apify centralized ETL, orchestration, and reverse ETL in a single platform, automating financial reporting, gross margin analysis, and customer data activation across tools like Snowflake, Salesforce, and Intercom. Keboola helped Apify save 3.5 engineering days per month on financial reporting and double upsell conversion to higher-paid plans, while also improving data quality, transparency, and cross-team decision-making.

Apify

Matej Šesták

Data Team Lead