Custom scraping solutions —
‍powered by our scraping engine.

A crucial first step where we gather requirements, understand your needs, and identify potential challenges. It sets the foundation for the whole project and lets us assess whether our existing solutions can be adapted to fit.

We analyze the technical feasibility of scraping the identified sources, review roadblocks (anti-bot measures, CAPTCHA, dynamic content), and define the technical approach — making sure the project is viable.

We put together a detailed proposal and design a solution based on your requirements and the feasibility assessment — custom-built or integrated with third-party services — tailored to your needs, budget, and timeline.

We build a small-scale proof of concept to prove the proposed scraping solution works on one or more of the target sources. This refines the approach before full-scale development.

Once the PoC is approved, we build the full-scale scraping solution — infrastructure, data pipelines, and the automation & orchestration for large-scale scraping — then test it thoroughly for robustness, scalability, performance on large-scale data, and compliance with data-security regulations.

We deploy the solution to your environment or cloud and integrate it with your existing systems (CRM, databases, BI tools), with monitoring and alerting in place to handle data changes or scraping challenges.