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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

  • Automated web scraping of multiple websites or pages

  • Serverless orchestration for sequential or parallel scraping tasks

  • Cloud storage of scraped data in structured format

  • Monitoring and alerting for scraping failures or delays

  • Scalable architecture capable of handling multiple scraping jobs concurrently

  • 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

  1. Job Scheduling
    Admin schedules scraping jobs using EventBridge (e.g., daily, hourly).

  2. Step Functions Execution
    Step Functions orchestrates the workflow, triggering multiple Lambda functions for scraping.

  3. Scraping Lambda Functions
    Each Lambda function scrapes a specific website or page, extracts data, and stores it in S3 or DynamoDB.

  4. Error Handling & Retry
    Step Functions handles retries for failed scraping tasks automatically.

  5. Data Storage & Monitoring
    Scraped data is stored in S3/DynamoDB. CloudWatch logs all activity and SNS sends notifications for failures.

  6. Data Access & Analysis
    Admin or data analysts can access structured data for reporting, analytics, or downstream applications.

This Course Fee:

₹ 2799 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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