What is Qwen-Agent?
Alibaba's agent framework built on Qwen 3+ models with Function Calling, MCP, Code Interpreter, and RAG. Ideal for running agents on local Qwen via Ollama or vLLM.
Searching LinkedIn with Qwen-Agent
This integration lets your Qwen-Agent agent search LinkedIn in real time via the Scavio API. The agent gets back structured JSON with job listings, company names, locations, posted dates -- ready for reasoning and decision-making.
Setup
Bash
pip install qwen-agentCode Example
Here is a complete Qwen-Agent agent that searches LinkedIn using Scavio:
Python
# Generic HTTP integration for Qwen-Agent
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v2/google
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"query":"your search query"}
#
# Rows come back under organic_results.
#
# There is no LinkedIn people or post search: LinkedIn retired it upstream. This finds LinkedIn pages through Google. For structured data call POST /api/v1/linkedin/person, /company or /post with a LinkedIn URL, or /api/v1/linkedin/search/jobs for keyword job search.
Full Working Example
A production-ready example with error handling:
Python
# Generic HTTP integration for Qwen-Agent
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v2/google
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"query":"your search query"}
#
# Rows come back under organic_results.
#
# There is no LinkedIn people or post search: LinkedIn retired it upstream. This finds LinkedIn pages through Google. For structured data call POST /api/v1/linkedin/person, /company or /post with a LinkedIn URL, or /api/v1/linkedin/search/jobs for keyword job search.
Pricing
Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your Qwen-Agent integration. Paid plans start at $30/month for higher volumes.