What Is ChatGPT 全流程助手?
ChatGPT 全流程助手 is one of the best Browser Automation tools for developers and indie operators automating ChatGPT account workflows. Built by hanyi0000, this Python 3.10+ Playwright toolkit automates six named flows — Plus registration, GoPay billing, OAuth authorization, session export, free registration, and PayPal Plus — on Windows, macOS, and Linux. The repository is MIT-licensed, and the design is centered on repeatable browser state, file-based artifacts, and configurable providers.
The project is not a thin script wrapper. It bundles account storage, proxy pools, mail and SMS adapters, profile persistence, and token export into a single operator-facing runtime. That makes ChatGPT 全流程助手 useful when you need to run the same browser choreography many times without hand-editing every step, while still keeping the workflow readable in plain Python and YAML.
Quick Overview
| Attribute | Details |
|---|---|
| Type | Browser Automation |
| Best For | developers and indie operators automating ChatGPT account workflows |
| Language/Stack | Python 3.10+, Playwright, Chromium, YAML and .env configuration |
| License | MIT |
| GitHub Stars | N/A as of Feb 2026 |
| Pricing | Open-Source |
| Last Release | N/A |
Who Should Use ChatGPT 全流程助手?
- Automation engineers building browser-driven onboarding, account provisioning, or token export flows that need a repeatable state machine instead of ad hoc scripts.
- Indie hackers who want a local, configurable workflow runner for account lifecycle tasks and do not want to wire up separate tools for mail, proxy, and browser management.
- Platform teams evaluating how browser fingerprints, persistent profiles, and output artifacts behave under multi-threaded runs.
- Researchers and internal tooling teams testing browser automation patterns, provider switching, and session persistence in a controlled local environment.
Not ideal for:
- Teams that require official API-only integrations and cannot tolerate browser automation in their compliance model.
- Users who want a one-click hosted SaaS with managed infrastructure and no local setup.
- Environments where proxy pools, SMS providers, or mail sources are not allowed to be configured externally.
Key Features of ChatGPT 全流程助手
- Six workflow modes — The project ships with discrete modes for register, gopay, authorize, session-export, free-register, and PayPal Plus. That separation matters because each path writes different artifacts and has different provider dependencies, instead of forcing every task through one brittle script.
- Playwright-driven browser automation — The runtime uses Playwright with Chromium, which gives it deterministic browser control, modern selector support, and cross-platform execution. The install path is explicit:
playwright install chromium, so the browser binary is managed rather than assumed. - Persistent browser fingerprinting —
modules/browser.pykeeps a stable fingerprint per email seed, including User-Agent, screen size, timezone, and anti-detection patches. The practical benefit is consistency across runs, which is critical when state is stored inprofiles/and reused across separate flows. - Multi-source mail and SMS orchestration — The config supports MoeMail, Hotmail, iCloud query-based retrieval, and SMS providers such as HeroSMS, GrizzlySMS, and 5sim. That gives ChatGPT 全流程助手 a provider abstraction layer, so the operator can swap external dependencies without rewriting the flow logic.
- Proxy pool and worker isolation — Global and PayPal-specific proxy pools are both supported, with per-thread browser instances. That matters for load shaping and isolation because each worker can be pointed at a different proxy, reducing collisions when you run
--workers 3or more. - Structured token and session export — Flow 3 and the PayPal branch emit
refresh_token, full token JSON, andsub2api_accounts.json. This is a clean handoff format if you want to pipe the results into another internal tool such as MachineAuth for credential lifecycle handling or DataHaven for artifact storage. - Operationalized billing branches — The repository includes separate logic for GoPay and PayPal Plus, including OTP waits, captcha modes, billing retries, and country-specific settings. That makes the codebase more than a demo; it is a workflow library with explicit branch-specific configuration.
ChatGPT 全流程助手 vs Alternatives
| Tool | Best For | Key Differentiator | Pricing |
|---|---|---|---|
| ChatGPT 全流程助手 | End-to-end ChatGPT account automation | Built-in workflows for registration, authorization, session export, proxies, and provider pools | Open-Source |
| Selenium | Generic browser automation across legacy stacks | Mature WebDriver ecosystem and broad language support, but no opinionated account workflow layer | Open-Source |
| Playwright | Low-level browser automation and testing | Faster modern browser control, but you still assemble the account logic, storage, and exports yourself | Open-Source |
| Puppeteer | Chromium-first automation | Tight Chrome/Chromium focus and simple API, but narrower cross-browser story than Playwright | Open-Source |
Pick Selenium if your team already has WebDriver infrastructure and you need portability more than workflow completeness. Pick Playwright if you want to build the same kind of orchestration from scratch and you do not need the bundled provider, storage, and export modules.
If your problem is mainly session handoff, MachineAuth is the narrower fit because it is more about identity and authorization state than full browser choreography. If debugging flaky multi-step browser runs is the real pain, pair the workflow with OpenTrace so you can inspect timing, state transitions, and failure points instead of guessing where the browser diverged.
How ChatGPT 全流程助手 Works
The architecture is a mode router in main.py plus a set of domain modules under modules/. Each mode pulls configuration from .env and config.yaml, then calls the relevant browser, mail, billing, or storage component. The data model is intentionally simple: line-oriented records such as email----query_code----payment_url, plus JSON exports for downstream consumers.
The design choice that matters most is state persistence. ChatGPT 全流程助手 stores browser profiles in profiles/, uses account-seeded fingerprints, and writes outputs into distinct folders under output/, so later stages can pick up exactly where earlier stages left off. That is why the toolkit works as an internal operator console rather than a throwaway browser macro.
cp .env.example .env
cp config.example.yaml config.yaml
python main.py --mode register --count 5 --workers 3
The first two commands initialize the config files that drive mail sources, proxy pools, captcha mode, and billing options. The last command starts a multi-worker registration run, creates separate browser instances, and writes successful records to the relevant output/ file for the selected mode.
Pros and Cons of ChatGPT 全流程助手
Pros:
- Single-local-runner workflow — One Python entry point controls registration, authorization, export, and billing branches, which reduces tooling sprawl.
- Cross-platform execution — The stack is explicitly supported on Windows, macOS, and Linux, so the same repo can run in dev laptops and Linux automation hosts.
- Provider abstraction — Mail, SMS, captcha, proxy, and billing integrations are all configurable, which makes the tool adaptable to different environments.
- Repeatable state handling — Persistent profiles plus seed-based fingerprints make multi-stage flows easier to resume than stateless scripts.
- Structured artifacts — The outputs are separated by workflow and format, which is better for ingestion than dumping everything into one log file.
Cons:
- High operational overhead — You must manage
.env, YAML, provider keys, pool files, and local browser dependencies before any workflow succeeds. - External dependency risk — Mail, SMS, proxy, and captcha services are all moving parts, so reliability depends on vendors outside the repo.
- Compliance-sensitive use case — Browser automation around third-party account creation and billing can conflict with platform terms or internal policy if you use it carelessly.
- Not a generic test harness — The repository is opinionated around ChatGPT account flows, so it is less useful if you only need a minimal browser driver.
Getting Started with ChatGPT 全流程助手
pip install -r requirements.txt
playwright install chromium
python main.py
After installation, the interactive menu is the fastest way to understand the available flows and their required inputs. For non-interactive runs, you will usually need to populate .env, confirm config.yaml, and prepare the data pools under data/ before the first successful execution.
Verdict
ChatGPT 全流程助手 is the strongest option for local ChatGPT account workflow automation when you need repeatable browser state, configurable providers, and artifact exports in one repo. Its biggest strength is the bundled end-to-end flow coverage; its main caveat is the operational and compliance overhead. If you want a workflow-first toolkit instead of a blank browser API, this is a solid choice.



