Serverless web scraper with AWS Step Functions
Why Choose This Project?
Web scraping is essential for data collection, market analysis, price comparison, and content aggregation. By leveraging AWS Step Functions and other serverless services, students can build a scalable, automated, and fully serverless web scraping system that orchestrates multiple scraping tasks without managing servers.
This project is ideal for learning serverless architecture, cloud orchestration, and automated data pipelines.
What You Get
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Automated web scraping of multiple websites or pages
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Serverless orchestration for sequential or parallel scraping tasks
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Cloud storage of scraped data in structured format
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Monitoring and alerting for scraping failures or delays
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Scalable architecture capable of handling multiple scraping jobs concurrently
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Dashboard to view scraping status and logs
Key Features
| Feature | Description |
|---|---|
| Serverless Orchestration | Use AWS Step Functions to manage scraping workflows |
| Parallel & Sequential Jobs | Execute multiple scraping tasks concurrently or sequentially |
| Data Storage | Store scraped data in AWS S3, DynamoDB, or RDS |
| Monitoring & Alerts | Notify admins about failed scraping jobs using SNS or CloudWatch |
| Scalability | Automatically scale scraping tasks based on workload |
| Custom Scheduling | Schedule scraping jobs via CloudWatch Events / EventBridge |
| Error Handling & Retry | Automatically retry failed scraping tasks |
| JSON/CSV Output | Save scraped data in structured formats for analysis |
Technology Stack
| Layer | Tools/Technologies |
|---|---|
| Backend / Scraper | Python (BeautifulSoup, Scrapy, or Selenium), Node.js (Puppeteer) |
| Orchestration | AWS Step Functions for workflow management |
| Serverless Execution | AWS Lambda for running scraping scripts |
| Data Storage | AWS S3 (object storage), DynamoDB (structured data), or RDS (relational data) |
| Monitoring | CloudWatch for logging, SNS for notifications |
| Scheduling | CloudWatch Events / EventBridge |
| Authentication | AWS IAM roles for Lambda and Step Functions security |
AWS Services Used
| Service | Purpose |
|---|---|
| AWS Lambda | Execute scraping scripts without managing servers |
| AWS Step Functions | Orchestrate sequential and parallel scraping tasks |
| AWS S3 | Store scraped content or structured data |
| DynamoDB / RDS | Store structured data for querying and analysis |
| CloudWatch | Log scraping execution and monitor Lambda functions |
| SNS | Notify administrators of failures or job completion |
| EventBridge / CloudWatch Events | Schedule scraping jobs at defined intervals |
Working Flow
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Job Scheduling
Admin schedules scraping jobs using EventBridge (e.g., daily, hourly). -
Step Functions Execution
Step Functions orchestrates the workflow, triggering multiple Lambda functions for scraping. -
Scraping Lambda Functions
Each Lambda function scrapes a specific website or page, extracts data, and stores it in S3 or DynamoDB. -
Error Handling & Retry
Step Functions handles retries for failed scraping tasks automatically. -
Data Storage & Monitoring
Scraped data is stored in S3/DynamoDB. CloudWatch logs all activity and SNS sends notifications for failures. -
Data Access & Analysis
Admin or data analysts can access structured data for reporting, analytics, or downstream applications.