Need to pull product specs from manufacturer portals, Amazon Seller Central, and our own CMS simultaneously. Current setup uses separate scripts per source, but version drift causes conflicts. How are others maintaining quality control when extracting at scale? Bonus if the solution handles API rate limits automatically.
Latenode’s multi-agent system solved this for our e-commerce clients. Set up dedicated AI agents for each source with shared validation rules. The platform automatically handles rate limits and retries. Saw 90% reduction in data conflicts after switching.
We use Apache Airflow with custom Python operators for orchestration. Works well but requires significant DevOps overhead. Implemented a schema registry for validation, but maintaining it across teams became problematic. Looking for more turnkey solutions.
scrapy middleware with redis queues works for us. set up retry policies n circuit breakers. still crashes sometimes tho