Challenge
The client relied on a web-based platform that had no open API and no built-in integration capabilities. Despite this, they needed to automate key operations within the system, including periodic data retrieval and task execution that their team was handling manually on a daily basis.
Without an API to work with, standard integration approaches were off the table. The solution had to interact directly with the platform's web interface in a reliable, maintainable way.
Due to the nature of this cooperation, many details including the client's identity, industry, and platform specifics cannot be disclosed.
Solution
We built a dedicated Puppeteer-based script that effectively turned the platform's web interface into a programmable API layer. This script handles authentication, navigation, and structured data extraction, exposing the results through endpoints that n8n workflows can consume.
On top of this API layer, we created workflows that automate the client's core operations: periodic data retrieval, task execution, and structured data export. For paths where strict deterministic extraction was not required (e.g. page summaries), we integrated AI processing to handle less structured content.
To ensure reliability, the entire setup includes an uptime monitoring system built on top of Cloudflare Workers. It continuously verifies that the script is operational and sends immediate notifications if anything breaks, for example due to changed selectors or updated page structure on the target platform.
Results
The client's team no longer spends time on repetitive manual operations within the platform. Data retrieval and task execution run automatically on schedule, with the monitoring layer ensuring the system stays operational without constant oversight.
Beyond the immediate time savings, the API layer significantly improved scalability. By exposing the closed platform as a set of programmable endpoints, the client's internal team can now build their own automations on top of it, extending the system without relying on external help for every new use case.