Scrapfly Automation
This skill automates Scrapfly operations using Composio's toolkit via Rube MCP.
Install
npx promptshop add scrapfly-automationDetails
What This Skill Does
This skill automates Scrapfly operations using Composio's toolkit via Rube MCP. It is designed for users who need to programmatically interact with Scrapfly for web scraping and data extraction workflows. The skill ensures proper setup, tool discovery, and execution while adhering to schema compliance.
When to Use
- Automate web scraping tasks.
- Integrate Scrapfly into existing systems.
- Dynamically configure scraping parameters.
- Monitor website data changes.
- Orchestrate complex scraping workflows.
- Build custom web scraping solutions.
Key Features
- Automates Scrapfly via Rube MCP.
- Discovers available tools and schemas.
- Manages Scrapfly connections.
- Executes tools with schema validation.
- Provides a structured workflow pattern.
- Handles connection and schema pitfalls.
Scrapfly Automation via Rube MCP
Automate Scrapfly operations through Composio's Scrapfly toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/scrapfly
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Scrapfly connection via RUBE_MANAGE_CONNECTIONS with toolkit scrapfly Always call RUBE_SEARCH_TOOLS first to get current tool schemas
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit scrapfly If connection is not ACTIVE, follow the returned auth link to complete setup Confirm connection status shows ACTIVE before running any workflows
Tool Discovery
Always discover available tools before executing workflows:
RUBE_SEARCH_TOOLS queries: [{use_case: "Scrapfly operations", known_fields: ""}] session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
Core Workflow Pattern
Step 1: Discover Available Tools
RUBE_SEARCH_TOOLS queries: [{use_case: "your specific Scrapfly task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["scrapfly"] session_id: "your_session_id"
Step 3: Execute Tools
RUBE_MULTI_EXECUTE_TOOL tools: [{ tool_slug: "TOOL_SLUG_FROM_SEARCH", arguments: {/ schema-compliant args from search results /} }] memory: {} session_id: "your_session_id"
Known Pitfalls
Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools Schema compliance: Use exact field names and types from the search results Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({}) Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows Pagination: Check responses for pagination tokens and continue fetching until complete
Quick Reference
| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with Scrapfly-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit scrapfly |
| Execute | RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs |
| Bulk ops | RUBE_REMOTE_WORKBENCH with run_composio_tool() |
| Full schema | RUBE_GET_TOOL_SCHEMAS for tools with schemaRef |