SaaS Messaging Bot Automation Suite
Budget: $30 – $250 USD
I’m building a SaaS that hinges on a reliable, multi-purpose bot. The core mandate is to automate three workflows:
• Data scraping – The bot should visit specified websites, capture user-information fields I define (name, email, social handles, etc.), and store them in a structured database or webhook.
• Customer service – Within popular messaging apps, the same bot must answer FAQs, escalate edge-case tickets, and log every interaction for easy review.
• Social media management – From those same messaging channels, I want to publish scheduled posts, pull basic engagement stats, and trigger follow-up messages automatically.
Messaging apps are the first-class platform, so your design should integrate smoothly with APIs such as Telegram, WhatsApp Business, or Facebook Messenger. Web scraping logic can be a separate service, but I need it to feed data directly to the messaging layer so user profiles stay in sync.
Key expectations
– Clean, well-commented code (Python, Node, or Go preferred).
– Modular architecture I can plug into a subscription-based SaaS dashboard later.
– Secure handling of all scraped user information, with rate-limit and captcha-bypass strategies where allowed.
– README covering deployment on a standard cloud stack (Docker + AWS or similar).
– A brief hand-off call and two weeks of post-delivery bug support.
If you’ve shipped production-grade chatbots or SaaS automations, I’d love to see your work and hear how you’d tackle the stack.
• Data scraping – The bot should visit specified websites, capture user-information fields I define (name, email, social handles, etc.), and store them in a structured database or webhook.
• Customer service – Within popular messaging apps, the same bot must answer FAQs, escalate edge-case tickets, and log every interaction for easy review.
• Social media management – From those same messaging channels, I want to publish scheduled posts, pull basic engagement stats, and trigger follow-up messages automatically.
Messaging apps are the first-class platform, so your design should integrate smoothly with APIs such as Telegram, WhatsApp Business, or Facebook Messenger. Web scraping logic can be a separate service, but I need it to feed data directly to the messaging layer so user profiles stay in sync.
Key expectations
– Clean, well-commented code (Python, Node, or Go preferred).
– Modular architecture I can plug into a subscription-based SaaS dashboard later.
– Secure handling of all scraped user information, with rate-limit and captcha-bypass strategies where allowed.
– README covering deployment on a standard cloud stack (Docker + AWS or similar).
– A brief hand-off call and two weeks of post-delivery bug support.
If you’ve shipped production-grade chatbots or SaaS automations, I’d love to see your work and hear how you’d tackle the stack.