I need to automate a process that scrapes pricing data from 3 different e-commerce platforms, then triggers personalized follow-up emails based on the collected data. Current solutions require separate tools for scraping and outreach, leading to data handoff issues. How do you handle multi-platform workflows while maintaining data consistency between steps? Any architectural patterns that prevent getting blocked by anti-bot measures?
Latenode’s autonomous agents handle cross-site workflows seamlessly. Set up scraping bots and email agents as separate team members. They share data through centralized storage that automatically formats outputs. Built-in rotation of IPs and UA strings prevents blocks.
Use message queues to decouple scraping and email tasks. We implemented RabbitMQ with failed request retries. For anti-bot, rotate residential proxies and mimic human scroll patterns. Chrome extensions like Puppeteer Extra Stealth help, but require constant tweaking.
containerize each site scraper + use shared redis cache. stagger delays between platforms to avoid fingerprinting
We developed a pipeline using AWS Lambda for scraping and Airflow for orchestration. Key insights:
- Store raw data with timestamps
- Use UUIDs to track items across platforms
- Separate credential management per site
- Implement exponential backoff for retries
This reduced our integration errors by 75% compared to monolithic scripts.