Standalone Python Rucaptcha v3 Solver
Budget: €12 – €18 EUR
I need a standalone Python solution that can resolve Rucaptcha v3 challenges automatically (résolution automatisée). The script must work without being embedded in any existing app and should let me choose between two ways of operation:
• HTTP mode – the solver listens on a small local HTTP endpoint, receives a site-key & page-URL, then returns the token.
• Background mode – the solver runs silently as a daemon/service, polls a queue or folder for new jobs, and writes the solved tokens back.
Key requirements
• Pure Python implementation; you may rely on common libraries such as requests, aiohttp, asyncio or selenium, but no external paid services.
• Must handle the normal v3 flow: obtain site-key, request challenge, submit solution, and return a usable g-recaptcha-response token.
• Accuracy and turnaround time should be comparable to manual solving services.
• Clear README explaining installation, environment variables (API keys if needed), and how to switch between HTTP and background modes.
Acceptance criteria
1. Given a valid site-key & URL, the tool returns a token accepted by Google on at least 9/10 test runs.
2. CPU and memory usage remain reasonable while idling in background mode.
3. Codebase is delivered as a single Git repository with a requirements.txt and an executable entry point (python main.py).
Deliverables
– Source code with inline comments
– README + quick-start guide
– Short demo video or screenshots proving successful token generation
I’m happy to answer technical questions along the way; please outline any external libraries you plan to use and your estimated lead time when you respond.
• HTTP mode – the solver listens on a small local HTTP endpoint, receives a site-key & page-URL, then returns the token.
• Background mode – the solver runs silently as a daemon/service, polls a queue or folder for new jobs, and writes the solved tokens back.
Key requirements
• Pure Python implementation; you may rely on common libraries such as requests, aiohttp, asyncio or selenium, but no external paid services.
• Must handle the normal v3 flow: obtain site-key, request challenge, submit solution, and return a usable g-recaptcha-response token.
• Accuracy and turnaround time should be comparable to manual solving services.
• Clear README explaining installation, environment variables (API keys if needed), and how to switch between HTTP and background modes.
Acceptance criteria
1. Given a valid site-key & URL, the tool returns a token accepted by Google on at least 9/10 test runs.
2. CPU and memory usage remain reasonable while idling in background mode.
3. Codebase is delivered as a single Git repository with a requirements.txt and an executable entry point (python main.py).
Deliverables
– Source code with inline comments
– README + quick-start guide
– Short demo video or screenshots proving successful token generation
I’m happy to answer technical questions along the way; please outline any external libraries you plan to use and your estimated lead time when you respond.