Solutions
First, Grepsr designed a modular extraction framework capable of adapting to different data structures, update frequencies, and content formats across the 13 different affiliate networks. We built each site’s crawler as an independent module, fine-tuned to capture its unique combination of merchant details, promo codes, and deal metadata. This ensured resilience and easy maintenance as site layouts evolved.
Then, we processed dynamic sites using headless browser automation enabling complete capture of asynchronous content and embedded deal links. We even integrated Grepsr’s internal AI-driven QA solution – CrawlGuard to automatically detect layout changes, repair broken selectors, and validate data accuracy before delivery.
Next, we added a standardization layer downstream to normalize the extracted data into a unified schema, regardless of source format. This allowed the client’s affiliate feed to merge new deals seamlessly each month without manual reconciliation.
On the engagement side, the Customer Success team implemented a structured communication cadence, including shared dashboards, periodic status updates, and proactive reminders for validation cycles. These consistent follow-ups kept the client aligned on project progress and restored their confidence in the data pipeline.
As a result, the client re-engaged and expanded their collaboration with Grepsr, adding more sources and establishing a long-term data partnership.
Stop wasting time collecting data manually and exhausting your internal team. Automate your merchant data extraction with Grepsr for accuracy, scalability, and growth!
