About This Architecture

Serverless patent data pipeline orchestrates scheduled scraping from Google Patent Search using Lambda Web Scraper in a private subnet with NAT Gateway egress. EventBridge Scheduler triggers hourly scrapes, storing raw HTML/JSON in S3 Bucket Raw Data, which invokes Lambda Data Processor to parse and load structured records into RDS PostgreSQL db.t3.micro. Secrets Manager secures database credentials while CloudWatch Logs captures scraper errors and processing metrics. Fork this diagram on Diagrams.so to customize scraping frequency, add DynamoDB for deduplication, or swap RDS for Aurora Serverless for variable workloads.

People also ask

How do I build a serverless patent scraping pipeline on AWS with scheduled Lambda functions and RDS storage?

Use EventBridge Scheduler to trigger Lambda Web Scraper in a private subnet with NAT Gateway for Google Patent Search access. Store raw data in S3, invoke Lambda Data Processor on S3 events, and load parsed records into RDS PostgreSQL with Secrets Manager credential management.