Developer (Playwright + Node.js/Python) for automation in Octo Browser

Hello! I am developing Telegram bots and automation using Node.js and JavaScript. Knowledge of OpenAI API will help implement the simulation of human behavior. I am ready to discuss the details and start working.

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Hello! I am an expert in Python + Playwright. I am ready to take on the core logic (integration with Octo API, multithreading, basic mouse/keyboard simulation, and connecting the OpenAI AI module). However, for a budget of 20,000 UAH, I will implement a system without a visual Dashboard — management will be through the console or simple config files. Writing a full UI level of Octo Browser is a separate project with a separate budget. If you are ready to start with a reliable console backend — write to me, and we will discuss the details.

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Good day!
The technical specification is clear, the task is familiar. I have done similar work, so essentially.
Regarding key technical points:
Octo Browser API — launching profiles through the local API, synchronization via /api/v2, management through WebSocket to a specific session. Key point: we attach Playwright to an already running profile via browserWSEndpoint from Octo, rather than starting our own instance. Otherwise, part of the fingerprint spoofing fails and the profiles get detected. A typical mistake of beginners in the field.
Human-like behavior — mouse movements through Bézier curves with randomized control points, not straight lines. Character-by-character input with jitter of 80-250ms, occasional backspace and corrections. Scrolling with micro-pauses and reverse movements, not constant-speed. A separate module for "personalities" (fast reader, slow, one that clicks on everything), randomization between Octo profiles to prevent patterns from correlating in logs.
Antidetect specifics — Octo covers the main vectors (Canvas, WebGL, WebRTC, AudioContext, fonts), but there are nuances due to CDP connection with Playwright. Plus, we separately maintain consistency of locale, time zone, and geolocation with proxies, otherwise we simply get caught on discrepancies.
Multi-threading — Node.js through worker_threads or async with p-limit, each session is isolated, shared queue manager. We control memory through explicit closure of contexts, monitoring via process.memoryUsage. It holds stable on 5 threads.
AI module — OpenAI or Claude for page analysis before action. We take not the full HTML, but a cleaned DOM with structure, send it with a prompt based on the "personality" profile, receive a solution, execute it through the behavior-engine. Cache solutions for similar pages to save tokens.
Cookies — context.cookies() after the session, stored in the database linked to the profile and domain, restored via context.addCookies(). We separately track the warming level of each domain.
… Database — PostgreSQL for main data plus Redis for operational queue and locks between threads. MongoDB if you prefer, the logic is the same.
Dashboard — React + TypeScript, Octo style as you requested. WebSocket for live status, log tables, queue management.
Modular architecture — core (runner, session-manager, behavior-engine, ai-module, db-layer) plus a plug-in system for site-specific modules. New site or scenario —

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Hello, I can confirm that I have the necessary skills to perform the task of automation in Octo Browser using Playwright and Node.js/Python. To complete the task, I plan to use the Playwright library for automating interactions with web pages, as well as the Node.js programming language to implement business logic. I will use Python for data processing and interaction with other services. Please send the project details so that I can get started.

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Hello.
I work with Playwright and browser automation, I love complex and atypical tasks where it's not just a script, but a well-thought-out system.
I see here modules: Octo API + profile management, human-like behavior, AI solutions for content, cookie/state preservation and logging, with the ability to extend logic for specific sites. Octo provides an API for launching/synchronizing profiles, so technically everything looks adequate.

I can quickly assemble an MVP (5+ profiles, basic behavior patterns, cookie collection and logs) with a modular architecture, so that new scenarios and AI logic can be easily added later. Please let me know which first site/type of scenario is a priority for you.

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Hello!
I have extensive experience in developing automation systems and farming with bypassing anti-fraud systems. I propose to implement your project on the Node.js + Playwright stack, as it is ideal for stable multithreading and easily integrates with the Octo Browser API.
I am a Fullstack developer and actively use AI assistants (Copilot, Claude) in my work. This allows me to quickly write routine code (for example, CRUD for the dashboard) and spend 90% of my time on the most complex task — perfect human imitation and bypassing fraud filters.
I am ready to discuss the architecture and your target sites in more detail.
My GitHub: https://github.com/KIS-IT-PRODUCTION
My portfolio: Freelancehunt
Reviews: Freelancehunt

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Our shiplix team is ready to complete this order turnkey. We have extensive experience in deploying similar projects.

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Good day.
Middle+ nodejs 5+ years of experience.
Stack: TS, NestJS, Puppeteer, MongoDB.

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Good day.
I have experience in developing a similar system, with interactive WebRTC broadcasts, automation of authorizations, transmission and emulation of mouse movements, and I have also integrated the OpenAI API.
I propose development on the stack:
back-end: nestjs, postgres, docker-compose + rabbitMQ (for optimizing system flows through microservice architecture).
front-end: react, mui, tailwind.
I am ready to discuss the details and start working. I would appreciate the collaboration.

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Hello! I can implement it. Write to me privately to discuss all the details. I will be glad to cooperate!

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Hello! 🚀
I have experience in developing browser automation systems using Playwright, integrating with APIs, building dashboards, state management, logging, and modular architecture for scalable processes. I have worked with multithreaded scenarios, session management, profile state preservation, integrations with AI APIs, and building extensible automation platforms.

Recommended tech stack:

Backend: Node.js / Python
Automation: Playwright, API integrations
DB: PostgreSQL, Redis
Dashboard: React / Next.js
… Infrastructure: Docker, VPS, logging, queues, multi-session orchestration

I can help with:
— integration with Octo Browser API
— managing multiple profiles and state preservation
— building a dashboard for process monitoring
— logging actions in the database
— modular architecture for future expansion
— AI module for content analysis and decision-making in permitted scenarios

I am ready to discuss implementation details and propose an architecture for your case. I have a solution in my portfolio that you might be interested in!)

Best regards,
Andriy!

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I will create software for warming up profiles through Octo Browser. I will connect Playwright to Octo via the CDP endpoint, for stealth I will use playwright-extra with plugin-stealth, mouse movements along Bezier curves with randomization for each profile. I will break it down into stages: first core automation, cookie collection, and logging, then the AI module and Dashboard separately. For which specific sites do you need to create warming up scenarios?

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Hello! I am Volodymyr, the founder of the engineering agency Vaysed. Developing complex automation systems, bypassing anti-fraud filters, and building infrastructure to work with hundreds of profiles is our direct specialty. We do not write primitive linear scripts; we create fault-tolerant architectures.

Here’s how we technically implement your task:

Core and Anti-detect: We use our proven connection of Node.js + Playwright + Octo Browser API. For 100% human imitation, we implement mathematical models of mouse movements (based on Bézier curves), randomized timings of key presses, and algorithms for "learning" content. Your sessions will not be "burned" by banal scrolling.

Modularity (State Machine): We design all logic according to the finite state machine pattern. The core of the system will be isolated from the logic of specific sites. You will be able to easily add new modules (FB farming, Google, cookie collection, minor parsing) as separate plugins without breaking the main code.

Multithreading and Memory: The backend is optimized for the parallel launch of 5+ heavy browser instances without memory leaks, with strict control over WebSocket connections and I/O operations.
…
AI Module and Databases: We integrate GPT/Claude API for semantic analysis of pages and making non-linear decisions. All collected cookies, profile states, and detailed logs will be securely stored in PostgreSQL or MongoDB.

Dashboard: We will deploy a user-friendly visual control panel (for example, integrated with Retool or custom), where you will see the statuses of all streams, logs, and profile states in real-time.

We have deep experience in bypassing Cloudflare, working with proxies, and creating scalable parsers. You can assess our engineering approach to developing complex ecosystems in our portfolio: https://vaysed.me/

I would be happy to discuss the architecture of your software and agree on the stages of development. Write to me!

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