Why wrap Firecrawl in an OpenClaw skill
Even if you already have generic web tools, a dedicated Firecrawl-oriented skill is valuable because it captures when to use Firecrawl, how to keep prompts tight, what output shape to return, and what safety rules to follow. In other words, the skill becomes the operating memory for your web research workflow.
This is especially helpful when the workflow repeats across competitor monitoring, market research, directory extraction, QA checks, or browser-assisted data collection.
What Interact adds
Firecrawl's Interact flow lets you scrape a page first, keep the browser state attached to that scrape, then send focused follow-up actions such as clicking buttons, filling a field, navigating deeper, or extracting dynamic content.
The high-level setup
- Create a workspace skill folder, for example
skills/firecrawl-operator/ - Add a
SKILL.mdthat explains when the agent should use Firecrawl - Store your Firecrawl API key in your environment or secret management layer
- Add a helper script if you want reusable scrape and interact calls
- Keep the skill opinionated about output structure and cleanup
A good SKILL.md contract
The skill should not just say "use Firecrawl". It should explain the workflow. For example:
Use this skill when a task needs structured web research, website scraping, or dynamic browser interaction that normal fetch tools cannot handle. Preferred pattern: 1. Scrape the URL and capture the scrapeId 2. Use small, single-purpose interact prompts 3. Return structured notes, not raw logs 4. Stop the interact session when finished 5. Escalate if the task would submit sensitive data or trigger irreversible actions
That kind of instruction dramatically improves consistency. It prevents the agent from turning one web task into a messy bundle of oversized prompts and brittle output.
How the new Interact flow works
- Call
POST /v2/scrapeand capture the returnedscrapeId - Call
POST /v2/scrape/{scrapeId}/interactwith a prompt or code - Reuse the same session for the next small action so state carries over
- End with
DELETE /v2/scrape/{scrapeId}/interact
The important design choice is to keep prompts small and sequential. "Search for the pricing page" is a good interact prompt. "Search the whole site, compare all plans, summarize the positioning, and create a CRM record" is too much for one step.
A minimal example flow
# 1. Scrape the page
POST /v2/scrape
# 2. Ask for one action at a time
POST /v2/scrape/{scrapeId}/interact
{ "prompt": "Open the pricing page" }
POST /v2/scrape/{scrapeId}/interact
{ "prompt": "Extract the plan names, prices, and main differentiators" }
# 3. Stop the session
DELETE /v2/scrape/{scrapeId}/interactBest use cases for OpenClaw + Firecrawl
- →Competitor pricing and launch tracking across dynamic pages
- →Lead research where profile data is spread across multiple live tabs
- →QA checks on public websites, docs portals, sign-up flows, or changelogs
- →Structured research pipelines where the agent needs browser state between steps
Guardrails to keep
| Do this | Avoid this |
|---|---|
| Break work into small interact calls | Huge multi-goal prompts with no checkpoints |
| Return structured notes or JSON-ready fields | Dumping browser logs straight into user-facing output |
| Stop the session when finished | Leaving long-lived sessions open without a reason |
| Require review before logins, purchases, or submissions | Letting autonomous flows perform sensitive actions silently |
Operator tip
Treat Interact as a stateful browser step, not a magic do-everything prompt. The smaller the step, the more useful and dependable the workflow becomes.