Cloud LinkedIn Automation Platform Development.
Budget: $250 – $750 USD
I need a full-stack solution that lets me run safe, reliable LinkedIn outreach from the cloud. The heart of the build is a Playwright-driven browser that works seamlessly with both premium and normal LinkedIn accounts while respecting all anti-bot limits.
Here is what has to come together:
• Cloud environment – please spin everything up on AWS so campaigns continue 24/7 even when my local machine is off.
• Automation engine – profile visits, connection requests, and a four-step message sequence (Day 1 → Day 3 → Day 5 → Day 7). The sequence must respect configurable time windows, include smart retries, and expose controls through an API.
• Backend – a clean Node.js service with REST endpoints that connect the automation layer to my existing dashboard and plan management logic.
• Payments – live plan activation via Stripe and Razorpay so that subscriptions instantly unlock the correct automation limits.
• Deployment & test – containerised, fully tested end-to-end, then handed over with two weeks of post-launch support to iron out any edge cases.
If you have deep Playwright experience, solid AWS DevOps skills, and can code defensively around LinkedIn’s limits, I’d love to work together.
Here is what has to come together:
• Cloud environment – please spin everything up on AWS so campaigns continue 24/7 even when my local machine is off.
• Automation engine – profile visits, connection requests, and a four-step message sequence (Day 1 → Day 3 → Day 5 → Day 7). The sequence must respect configurable time windows, include smart retries, and expose controls through an API.
• Backend – a clean Node.js service with REST endpoints that connect the automation layer to my existing dashboard and plan management logic.
• Payments – live plan activation via Stripe and Razorpay so that subscriptions instantly unlock the correct automation limits.
• Deployment & test – containerised, fully tested end-to-end, then handed over with two weeks of post-launch support to iron out any edge cases.
If you have deep Playwright experience, solid AWS DevOps skills, and can code defensively around LinkedIn’s limits, I’d love to work together.