Browser Automation & AI Reply System

@a4logic

Hello, As the leader of a trusted and proven software development firm, I bring to the table extensive experience and well-honed skills that align perfectly with your project's needs. Our team specializes in web automation, browser profiling, and AI-powered solutions, making us an ideal choice for your intricate automation requirements. We have precisely the expertise needed to navigate effectively through AdsPower API integration, setting up varied proxy systems to ensure stable sessions, and playwriting/puppeteering to script robust automation steps. With an acute understanding of the significance of reliable scheduling as you've requested, we leverage sophisticated job queuing technologies like Celery/Redis for optimized task management. Additionally, we are well-versed in handling massive amounts of real-time data through databases like Postgres and utilizing it intelligently via SQL queries. This aspect is particularly relevant to your needs as it helps power the AI microservice with up-to-date inventory and pricing details for prompt replies. Moreover, our reputation is built on delivering comprehensive solutions that can span different platforms, evidenced by our proficiency in webhook integrations like those involving GoHighLevel APIs. All these capabilities will help us deliver exactly what you need: an efficient browser automation engine combined with a smart AI system to respond appropriately to customer messages. In con Thanks!

@kamran2012

I can help with this, Hi, I will deliver the full stack: AdsPower API integration for profile creation and proxy locking, Playwright automation with Celery/Redis scheduling to run 15+ concurrent sessions without collision, and the AI reply microservice pulling live inventory from Postgres before calling the LLM. On a similar build, separating the proxy assignment logic into its own service made swapping AdsPower for GoLogin a one file change. Questions: 1) Are you already running AdsPower profiles, or do I start fresh? 2) Which LLM do you prefer: OpenAI or Anthropic? Share your current Postgres schema and I will draft the query layer first. Looking forward to your response. Best regards, Kamran

@gotucat

Hi, I reviewed the project and the main requirement is to run scheduled browser actions across many AdsPower profiles, each with its own proxy, then hand off to Celery/Redis for the next run. I will implement the automation with Playwright or Puppeteer, use the AdsPower API for profile and proxy management, and connect to PostgreSQL-backed data for live inventory and pricing. Backend components will leverage PHP for API endpoints, while Python handles data processing and scheduling. Quality, responsiveness, and clean, easy-to-manage results are the goal, with clear logs and simple hand-offs for future swaps. Let’s discuss here now.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in PHP, Java, Python, Software Architecture, PostgreSQL, API, Automation, Celery and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@techplusintl

Hi, Your need for a production-ready system with AdsPower integration is clear. I can build a robust automation engine using Playwright or Puppeteer that seamlessly interacts with the AdsPower API, ensuring reliable proxy management and error handling. **Execution Plan:** 1. Develop the browser automation module with scheduled tasks and proxy assignment. 2. Create the AI microservice for customer message handling, integrating real-time inventory from Postgres. 3. Implement Docker-compose for easy deployment and scalability. Regarding your question about previous work, you can view my portfolio here: https://www.freelancer.com/u/techplusintl. What specific metrics do you want to track in Grafana for success/error logging? Let's discuss this further to ensure we meet your requirements perfectly.

@installerpoint

A reliable browser automation platform isn't just about running scripts—it needs isolated sessions, dependable scheduling, and an architecture that can scale while keeping AI responses accurate and data-driven. Your combination of AdsPower, Celery/Redis, Postgres, and an LLM microservice calls for clean separation between automation, orchestration, and AI. I've built automation systems, AI-powered applications, and API integrations where reliability and maintainability were critical. I'll develop a modular solution with AdsPower-driven Playwright automation, robust proxy/session management, Celery-based scheduling, and an AI microservice that enriches prompts with live PostgreSQL data before generating contextual replies. I'd also recommend introducing a queue-based retry mechanism with idempotent jobs and an abstraction layer for browser providers, making a future migration from AdsPower to GoLogin straightforward. Why Work with Me 12+ years building AI, automation, and custom business applications Top 3% Verified Freelancer with 308+ Five-Star Reviews Expertise in Python, PostgreSQL, Celery, Playwright, APIs, and AI integrations Clean, scalable architecture with strong communication and long-term support One question: will customer messages originate from GoHighLevel only, or should the AI microservice be designed to support multiple messaging channels from the outset? Looking forward to hearing from you, M Adeel,

@KatrinaQ

Hi, I'm a senior developer with 20+ years of experience, Top Rated on Freelancer.com with 1,500+ completed projects and a 5-star record, and I've built similar browser automation and AI reply systems before. I'll set up a modular system where AdsPower profiles are spun up via its API, each assigned a dedicated residential proxy with sticky sessions to maintain session consistency. The Playwright automation scripts will handle browser actions with retry logic and detailed logging, then return control to a Celery/Redis scheduler that enforces the defined cadence without overlaps. The AI microservice will query PostgreSQL for real-time inventory and pricing before sending structured prompts to OpenAI/Anthropic, ensuring replies reference current data with accuracy as the priority. For production reliability, I'll include health checks, rate limiting, and a Grafana dashboard to track success rates and errors. The stack will run in Docker Compose for reproducibility, with a README documenting proxy rules, AI prompt templates, and the extension points for future swaps like GoLogin. I can provide a live demo of concurrent sessions and contextual responses to validate the system meets your acceptance criteria.

@C0RETECHIES

Hi there, I understand the operational flow you're aiming for. A Celery scheduler will trigger jobs, calling the AdsPower API to launch browser profiles, each with its dedicated sticky proxy. Inside these isolated sessions, a Playwright script will perform its actions. In parallel, a separate AI microservice will listen for messages, query Postgres for live inventory and pricing data to enrich a prompt, and then use an LLM for generating factual, data-grounded replies. Technical approach: - Backend: Python with FastAPI for the AI service and Celery with a Redis broker for task orchestration. - Automation: Playwright for its modern and robust browser control API. - AI Logic: A Retrieval-Augmented Generation (RAG) pattern to feed live Postgres data into the LLM prompts, ensuring accuracy. - Infrastructure: The entire stack will be containerized using Docker Compose for reproducible one-command deployments. Core modules: - Profile Orchestrator: Manages the AdsPower profile lifecycle and proxy assignments via API. - Task Scheduler: Celery-based queue ensuring concurrent, non-colliding job execution across profiles. - AI Reply Service: A stateless microservice for prompt enrichment and LLM interaction. Relevant systems: Our "Automation Lead Generator" is an 8-agent AI pipeline that uses GoHighLevel for complex, automated outreach and reply handling. Its agent-based architecture is very similar to your proposed browser automation + microservice design. Implementation strategy: I'd build the core AdsPower/Playwright automation first, then layer on the Celery scheduling for concurrency. The AI microservice can be developed in parallel. We'll finalize by containerizing the system with Docker, setting up logging, and integrating the GoHighLevel webhook. Regards, Rohit

@sohandas

hi, i can build this complete system with adspower + playwright, celery/redis, postgres and ai replies. secure, scalable and ready. can start with a demo first.

@intelliresponse

Hi! I have strong experience building automation systems with Python, Playwright/Puppeteer, Celery, Redis, PostgreSQL, Docker, and AI integrations. I can develop a scalable AdsPower automation engine with proxy/session management, reliable scheduling, robust logging, and an AI microservice connected to real-time business data for accurate customer responses. I’ll deliver clean modular code, Docker setup, documentation, and testing for concurrent profile execution and future scalability. I’m ready to discuss your existing workflow and implementation plan.

@XanvraTECH

Hello, I am highly interested in your project for Browser Automation & AI Reply System. I have a strong background in PHP, Java, Python, API, PostgreSQL, and Software Architecture, making me well-equipped to handle the requirements of this project effectively. I understand the need for a production-ready system that can handle scheduled tasks, browser automation, AI integration, and database queries efficiently. I plan to utilize my expertise in Playwright/Puppeteer for automation scripts, integrate AdsPower API for proxy management, and implement an AI microservice for customer message responses enriched with real-time data from Postgres. My portfolio showcases my successful projects in similar domains, demonstrating my capabilities in delivering high-quality solutions. I look forward to discussing this project further with you. Best regards, Warda Haider - MY WORK STATS: ✨ https://www.freelancer.com/u/XanvraTECH

@kanika6665

Hi, I’ve read your brief carefully, and I’m confident I can build this production-ready browser automation and AI reply system end to end. The workflow around AdsPower profile control, proxy-aware automation, Celery/Redis scheduling, and real-time AI responses from Postgres is exactly the kind of Python-driven system I can deliver cleanly and reliably. I can structure the solution so Automation workers launch AdsPower sessions safely, coordinate concurrency across profiles, and use Python services for robust logging, retry logic, and API orchestration. Where Java may be relevant in your environment, I’ll keep interfaces modular, while focusing on accurate LLM replies enriched from live SQL data and optional webhook sync with GoHighLevel. I can start immediately and outline the architecture first, then deliver the core stack with Dockerized setup and demo flow in phases. Hey, should each AdsPower profile maintain its own dedicated task queue, or do you want dynamic queue balancing across profiles? Best regards, KANIKA

@teodorgeorge

Hello, I have worked on browser Automation systems that coordinate many isolated sessions, proxy rules, schedulers, and API handoffs. This fits your AdsPower flow, Playwright or Puppeteer scripts, Celery and Redis cadence control, and PostgreSQL backed inventory lookups. I will separate profile control, proxy selection, job locking, and reply generation so sessions do not share cookies or collide. The AI microservice can use PHP endpoints where needed, SQL reads for pricing, clear logging, Docker compose, and a demo showing concurrent profiles with contextual replies. Best regards, Teo

@ShaikhAneesa

Hi there, I understand you're looking to build a production-ready automation platform that orchestrates multiple AdsPower browser profiles while integrating AI-powered customer responses backed by live business data. With experience in Playwright, AdsPower integrations, Celery, Redis, PostgreSQL, Docker, and LLM APIs, I can deliver a scalable, reliable solution focused on concurrency, automation, and maintainability. My approach is to build a modular architecture where Playwright automations launch through the AdsPower API using isolated browser profiles, sticky proxy management, and robust error handling. Celery and Redis will coordinate concurrent scheduling, retries, and collision-free execution, while a dedicated AI microservice processes customer messages, retrieves live inventory and pricing from PostgreSQL, enriches prompts, and generates accurate responses using OpenAI or Anthropic. The entire stack will be containerized with Docker Compose and include structured logging, monitoring, configurable environment settings, and clean abstraction layers so AdsPower can later be replaced with GoLogin with minimal changes. Complete testing, documentation, deployment support, and handover will also be included. Could you clarify whether customer messages originate from GoHighLevel or another platform, and approximately how many AdsPower profiles will run concurrently beyond the initial 15 sessions? I'm ready to start immediately. Warm Regards, Aneesa.

@AbdullhSkeen

With my extensive experience in software development and a track record of delivering exceptional projects, I believe I am the ideal fit for your Browser Automation & AI Reply System project. Over the past 5+ years, I have successfully developed scalable, high-performing web and mobile applications, much like what you’re looking for, leveraging my skills in Java, PHP and Python, and integrating complex systems involving APIs. My proficiency in Puppeteer and Playwright - backed by my deep understanding of your key points such as AdsPower integration, proxy management strategies, automation scripts with robust error handling, along with Celery/Redis scheduling - make me confident that I can build a production-ready browser automation system that meets all your needs. Moreover, my skills in SQL will ensure seamless integration of your Postgres data and real-time querying. In addition to this technical expertise, I value communication and accountability highly. With me on board, you won't have to worry about any disappearing acts mid-project. You'll have a partner who is consistently available across time zones to provide daily updates on the project's progress. My commitment to transparent communication also manifests in clear milestones and timely delivery - with a proven reputation of beating deadlines without ever comprising quality or precision. Hiring me is not just hiring a developer but a partner who genuinely cares about your project’s success.

@usmanbashir12100

Hi, I understand you need a production-ready automation platform that orchestrates multiple AdsPower browser profiles with reliable proxy management while integrating an AI microservice that generates accurate, context-aware customer replies using live PostgreSQL data. I can build a scalable solution using Playwright with the AdsPower API, Celery/Redis scheduling, Dockerized services, structured logging, and an LLM microservice that retrieves real-time inventory and pricing before generating responses. The architecture will be modular, making it easy to extend workflows or replace AdsPower with GoLogin in the future while meeting your concurrency and performance requirements. Best regards, Muhammad Usman

@denisSolution

Hi, I understand you need a stable browser automation layer that integrates tightly with AdsPower and Celery, plus an AI microservice that pulls live Postgres data for accurate replies. I built a similar system last year using Puppeteer to drive 200+ headless Chrome sessions with sticky residential proxies and Redis-backed scheduling, and it handled 99.7% of jobs without overlap—only tricky part was retrying failed proxy auths without leaking sessions. I’d approach this with a clean separation: Puppeteer/Puppeteer-cluster for the browser side because it handles concurrent sessions and proxy rotation cleanly, and FastAPI for the AI microservice to keep the LLM calls fast and the Postgres queries isolated. The biggest win will come from strict session isolation and idempotent job design. I always keep changes small and test each proxy profile independently before merging, so rollbacks are trivial and nothing breaks existing flows. The real goal is a system that stays reliable as you scale to 50+ profiles and keeps customer replies accurate and timely, not just “working.” If the structure sounds right, I can start right now. Thanks, Denis.

@mubeenm5026

Having studied your project requirements and examined my broad skill set of Automation, Java, PHP, Python, I'm confident that I'm the right fit for the Browser Automation & AI Reply System job at hand. With over 10 years of experience at Web Crest- an AI, web & mobile development company- I've developed an expertise in creating high-performing automation systems using advanced tools like Playwright and Puppeteer. These would be optimal for the demanding task of launching scheduled tasks via the AdsPower API, while tracking individual profiles with their respective residential or ISP proxies. My proficiency extends to managing proxies effectively and implementing essential features like sticky sessions, geo-targeting, and rotation logic to ensure uninterrupted sessions. Additionally, my experience integrating AI solutions including OpenAI and Anthropic adds value to building the AI microservice your project requires to generate responses that reference customer inquiries and real-time inventory. I'm also competent in addressing factors like latency and have a record of maintaining an average reply latency of under 15 seconds. Finally, my expertise in back-end technologies such as Node.js, Django and PostgreSQL will ensure smooth integration of the developed modules with existing infrastructure.

@vishal1145

Your AdsPower orchestration will fail at 15+ concurrent sessions if you do not implement proper semaphore locking and profile-level state isolation. Without atomic locks in Redis, two Celery workers will attempt to launch the same profile simultaneously, corrupting the session and burning your proxy quota. Quick questions - are you enforcing sticky proxy sessions at the AdsPower profile level or handling rotation logic in your own middleware? And what is your target message throughput per hour for the AI reply service? Here is the architectural approach: - ADSPOWER API: Build a profile manager that pre-provisions browser instances with locked proxy assignments, then passes session IDs to Playwright via local debugging ports to avoid cold-start overhead on every task. - CELERY/REDIS: Implement distributed task queues with per-profile mutex locks so scheduled jobs never overlap, plus dead-letter queues to catch automation failures without blocking the entire pipeline. - AI MICROSERVICE: Design a FastAPI service that queries Postgres for inventory context, injects structured data into LLM prompts using function calling, and caches frequent queries in Redis to keep reply latency under 10 seconds. I have built similar proxy-orchestrated automation systems for 2 SaaS platforms that scaled to 200+ concurrent sessions without session bleed. Let's schedule a 20-minute technical call to walk through your proxy provider's rate limits and finalize the Docker networking strategy.