Web Scraper & Content Publishing System

This architecture diagram represents a public data ingestion and processing pipeline powered by web scraping and downstream data processing, ultimately serving users via apps and APIs.

🧠 Use Case

A system that:

  • Collects metadata and structured data from public sources (web scraping).

  • Stores and processes this data in real-time or near-real-time.

  • Makes data available to end-users through web/mobile apps and APIs.

Use cases might include:

  • Competitive intelligence (e.g., monitoring public product listings or pricing).

  • News or event aggregation.

  • Market sentiment analysis.

  • Public health or government data tracking.

🧱 Modern AWS Technologies Mapping

1. Public Sources + Internet Gateway

  • NAT Gateway: Egress point for resources running inside the VPC.

2. Web Scraper Service (Map Metadata / Provider Metadata)

  • AWS Lambda or Fargate: Stateless scraping functions.

  • AWS Step Functions: For orchestrating scraping workflows.

  • Amazon CloudWatch Events / EventBridge: For scheduled scraping.

For more advanced scraping:

  • Amazon EC2 Spot Instances or ECS with Fargate: For heavy-duty scraping tasks requiring headless browsers (e.g., Puppeteer with Chromium).

  • Use Tor or proxies via 3rd-party VPC peering or NAT traversal if needed.

3. Metadata Store

  • Amazon DynamoDB: For storing semi-structured metadata from scrapers (fast lookups, JSON support).

  • Amazon S3: For raw HTML or JSON blob storage.

4. Subscriber / Listener

  • Amazon EventBridge or Amazon SNS/SQS: To notify when new metadata is stored or a scraping job is complete.

  • AWS Lambda: Acts as the subscriber/trigger to launch data processors.

5. Data Processor (x2)

  • AWS Glue or AWS Lambda: For cleaning, transforming, or enriching data.

  • Amazon EMR or AWS Batch: If heavy ETL or analytics is needed.

6. S3 + Data Store

  • Amazon S3: For storing processed data, reports, or ML training sets.

  • Amazon Aurora (PostgreSQL) or Amazon DynamoDB: For structured and relational access.

  • Amazon OpenSearch: If full-text search or analytics are required.

7. Apps + APIs

  • Amazon API Gateway: To expose REST or GraphQL endpoints.

  • AWS AppSync: For managed GraphQL APIs.

  • Amazon Cognito: For authentication and user management.

  • AWS Amplify or Amazon CloudFront + S3 Static Site Hosting: For serving frontend apps.

🧩 Optional Enhancements

  • Monitoring: Use Amazon CloudWatch and X-Ray for observability.

  • Security: Leverage AWS WAF, Shield, and IAM roles for access control.

  • Cost optimization: Use AWS Compute Optimizer, Savings Plans, and S3 lifecycle policies.

Please note, this solution and its use case has been changed into a generic solution that may apply to multiple problems to protect past employers interests.

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