Openclaw Full workflow technical feasibility help please
Hi, I have a technical feasibility question about OpenClaw for a full-auto workflow on a VPS.
I want to automate a multi-step web process across 2 web interfaces, with this pattern:
1) Go to site A
2) Navigate through a category / subcategory hierarchy
3) Read dynamic information on the page (e.g. text, result counters, visible values, item metadata)
4) Modify filters / search fields iteratively (multiple attempts) until a target condition is reached (e.g. a result-count range)
5) Derive values using custom business logic (calculations + rules)
6) Go to site B
7) Pre-fill a creation form with the computed data
8) Run a duplicate check before creation (local DB + field normalization + logical unique key)
9) Automatically create the entry if no duplicate is found, otherwise skip + log
Important point: I want the system to be idempotent, robust, and 100% automated in the long run (daily batch runs, no manual intervention).
My specific questions:
- Is OpenClaw suitable as the main browser automation layer for this kind of long, repetitive workflow, or would you recommend using OpenClaw as an orchestrator on top of a custom Playwright script instead?
- Can I easily plug in external logic (Python/Node) for:
- business calculations
- duplicate prevention
- local storage (SQLite/Postgres)
- retry / resume rules
- In terms of reliability on a Linux VPS (Ubuntu):
- session / cookie management
- long-running executions / batch jobs
- recovery after errors (popup, wrong click, timeout, UI changes)
- logs / traces / screenshots
- For a full-auto setup, do you recommend a specific pattern:
- OpenClaw + custom tool
- OpenClaw + Playwright/CDP
- another architecture you have validated
I mainly want to understand what is realistically production-ready (on a VPS) for a strict, deterministic, multi-step workflow.
Thanks.
I want to automate a multi-step web process across 2 web interfaces, with this pattern:
1) Go to site A
2) Navigate through a category / subcategory hierarchy
3) Read dynamic information on the page (e.g. text, result counters, visible values, item metadata)
4) Modify filters / search fields iteratively (multiple attempts) until a target condition is reached (e.g. a result-count range)
5) Derive values using custom business logic (calculations + rules)
6) Go to site B
7) Pre-fill a creation form with the computed data
8) Run a duplicate check before creation (local DB + field normalization + logical unique key)
9) Automatically create the entry if no duplicate is found, otherwise skip + log
Important point: I want the system to be idempotent, robust, and 100% automated in the long run (daily batch runs, no manual intervention).
My specific questions:
- Is OpenClaw suitable as the main browser automation layer for this kind of long, repetitive workflow, or would you recommend using OpenClaw as an orchestrator on top of a custom Playwright script instead?
- Can I easily plug in external logic (Python/Node) for:
- business calculations
- duplicate prevention
- local storage (SQLite/Postgres)
- retry / resume rules
- In terms of reliability on a Linux VPS (Ubuntu):
- session / cookie management
- long-running executions / batch jobs
- recovery after errors (popup, wrong click, timeout, UI changes)
- logs / traces / screenshots
- For a full-auto setup, do you recommend a specific pattern:
- OpenClaw + custom tool
- OpenClaw + Playwright/CDP
- another architecture you have validated
I mainly want to understand what is realistically production-ready (on a VPS) for a strict, deterministic, multi-step workflow.
Thanks.
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