openclaw-rpa — Locale router (read this first)

GitHub: https://github.com/laziobird/openclaw-rpa — source, README, install, sample scripts under rpa/.

What this skill does

openclaw-rpa is an LLM-based RPA Agent framework. You describe a task in plain language; the AI executes it step by step in a real browser, on your computer, or via API services — with screenshot proof at every step — then compiles everything into a standalone Playwright Python script. Replay runs that script directly — no model call, no token burn, no hallucination risk — faster and cheaper than having the AI click every time.

Why this matters

1. Saves compute and money — Having a large model drive the browser on every run can cost roughly single-digit to tens of US dollars per heavy session (tokens, tools, long context). After you record once, repeat work does not call the model—replay is much faster and near-zero LLM cost for those steps.
2. Verify once, run the same way every time — During recording you confirm the flow works; later, replay executes the saved steps deterministically. You avoid asking the AI to “do it again” on every run, which hurts consistency and raises hallucination risk.

What you can automate (record once, replay many times — follow each site’s terms and local law):

🚀 Real-world cases — already recorded, ready to run

These scripts are registered in registry.json. Run any of them instantly — no re-recording, no tokens.

#rpa-list                          ← see all registered tasks
#rpa-run:amazonbestseller          ← run one directly
python3 rpa_manager.py run <name>  ← or via CLI

📖 Full case gallery & videos → README.md

When to use

Quick start (after install)

#rpa-list
#rpa-run:your-task-name

Full protocol, state machine, two-line signup (task name + capability A–G/N), deps-check / deps-install, record-step JSON, progressive probing, and selector strength (composite CSS — container + tag / attributes / :has(); avoid bare h3) live in the locale file below.

Output

Generated file is ordinary Python (rpa/*.py) — runs standalone with python3, editable, no OpenClaw dependency at replay time.

Scope

Browser — goto, click, fill, select_option, scroll, wait, snapshot, extract_text, dom_inspect.
HTTP API — api_call (httpx GET/POST, key embedding, save_response_to); independent of the browser page.
Local files — merge_files (concatenate Desktop files); extract_text writes to disk; patch rpa/*.py for folder / file ops after recording.
Excel / Word — excel_write (openpyxl, multi-sheet, dynamic rows from JSON or another file); word_write (python-docx, paragraphs + tables); no Microsoft apps required.
Computed logic — python_snippet injects arbitrary Python into the generated script; executed and validated at record time.
Out of scope — large ETL, databases, heavy OS automation.

Recommended sites

Good fits — predictable structure, works well out of the box:

Not recommended — likely to break or require manual intervention:

Tip: on a new site, start with goto + snapshot to confirm the page structure is readable before building a full flow.

Mandatory: load the correct instruction file

1. Read config.json in this skill directory. If it does not exist, read config.example.json (same shape; default locale is en-US).

2. Read the "locale" field. Allowed values: zh-CN and en-US (repository default in config.example.json: en-US).

3. Immediately use the Read tool to load the full skill body:

   • zh-CN → SKILL.zh-CN.md
   • en-US → SKILL.en-US.md

4. Follow only that file for state machine, triggers, record-step JSON, onboarding text, and user-facing replies.

5. Reply to the user in the active locale’s language:

   • zh-CN → Simplified Chinese for agent messages (user may still type English).
   • en-US → English for agent messages (user may still type Chinese).

Changing language

• Copy config.example.json → config.json if needed (python3 scripts/bootstrap_config.py), then edit "locale", or
• Run: python3 scripts/set_locale.py en-US / python3 scripts/set_locale.py zh-CN (creates config.json from the example when missing).

After a locale change, the agent should re-read the matching SKILL.*.md in a new turn or session. See README.md in this directory for the full workflow.

ClawHub / discovery

• SKILL.md (this file): short router + when to use + quick start for listings like ClawHub.
• SKILL.zh-CN.md / SKILL.en-US.md: full onboarding, recording, RUN/LIST, and anti-timeout rules.
• Scenario docs: Amazon Best Sellers · Airbnb Price Tracker · AP Reconciliation EN · AP Reconciliation CN · Auto-login.

Relative paths

When the loaded file references playwright-templates.md, synthesis-prompt.md, or rpa_manager.py, resolve paths relative to this skill directory (parent of SKILL.md).