We Gave a Local LLM Live Web Access. Here’s How

brew install ollama brew services start ollama 

ollama pull qwen3 ollama show qwen3:latest 

 Model architecture qwen3 parameters 8.2B context length 40960 embedding length 4096 quantization Q4_K_M Capabilities completion tools thinking 

python3 -m venv .venv source .venv/bin/activate 

pip install python-dotenv requests 

ZENROWS_API_KEY=your_key_here 

pip install ollmcp 

{ "mcpServers": { "zenrows": { "command": "sh", "args": ["-c", "set -a && . ./.env && set +a && exec npx -y @zenrows/mcp"] } } } 

ollmcp --servers-json zenrows-mcp.json --model qwen3:latest 

Found server in config: zenrows Connecting to server: zenrows Successfully connected to zenrows with 62 tool(s) and 3 prompt(s) and 1 resource(s)/template(s) ╭──────────────────────────── 🔧 Available Tools ────────────────────────────╮ │ ✓ zenrows.scrape ✓ zenrows.extract │ │ ✓ zenrows.batch_create ✓ zenrows.batch_status │ ... │ ✓ zenrows.browser_switch_tab ✓ zenrows.browser_batch │ ╰─────────────────────────── 62/62 tools enabled ────────────────────────────╯ ╭───────────────────────────────────────────────╮ │ Current model: qwen3:latest (ollama) │ │ Capabilities: 🔧 Tools │ 💭 Thinking (medium) │ ╰───────────────────────────────────────────────╯ 

from dotenv import load_dotenv load_dotenv() import asyncio import json import os import ollama from mcp import ClientSession, StdioServerParameters from mcp.client.stdio import stdio_client SERVER = StdioServerParameters( command="npx", args=["-y", "@zenrows/mcp"], env=dict(os.environ), ) MODEL = "qwen3:latest" # give the model enough context to read the whole tool result OPTIONS = {"num_ctx": 16384} QUESTION = "Extract the page heading from https://www.scrapingcourse.com/antibot-challenge." ALLOWED_ARGS = {"url"} async def main(): async with stdio_client(SERVER) as (read, write): async with ClientSession(read, write) as session: await session.initialize() listed = await session.list_tools() tools = [ {"type": "function", "function": { "name": t.name, "description": t.description, "parameters": t.input_schema, }} for t in listed.tools if t.name == "extract" ] messages = [{"role": "user", "content": QUESTION}] reply = ollama.chat(model=MODEL, messages=messages, tools=tools, options=OPTIONS) messages.append(reply["message"]) for call in reply["message"].get("tool_calls") or []: args = {k: v for k, v in call.function.arguments.items() if k in ALLOWED_ARGS} print("calling", call.function.name, args) result = await session.call_tool(call.function.name, args) text = result.content[0].text print("result:", text[:300]) # pass the model only the parsed fields from the response  data = json.loads(text).get("data") messages.append({"role": "tool", "content": json.dumps(data)}) print(ollama.chat(model=MODEL, messages=messages, tools=tools, options=OPTIONS)["message"]["content"]) asyncio.run(main()) 

python3 agent.py 

Using existing API key from env (secrets dir: /Users/user/.zenrows) Zenrows MCP server running on stdio (secrets dir: /Users/user/.zenrows) calling extract {'url': 'https://www.scrapingcourse.com/antibot-challenge'} result: {"ok":true,"mode":"auto","empty":false,"data":{"challenge_result":{"message":"You bypassed the Antibot challenge! :D","status":"bypassed"},"page":{"challenge_type":"antibot","title":"Antibot Challenge"}}} The page heading (h1) from the URL is: **Antibot Challenge** This is the title extracted from the webpage, which also happens to be the name of the antibot challenge page. 

import requests r = requests.get("https://www.scrapingcourse.com/antibot-challenge") print(r.status_code, len(r.text)) 

python3 without_zenrows.py 

403 5517 

curl -sI https://www.indeed.com | grep -iE "^(server|date):" 

date: Wed, 21 Oct 2026 08:15:02 GMT server: cloudflare 

QUESTION = "List the company names and job titles from https://www.indeed.com/jobs?q=data+analyst&l=Austin%2C+TX." 

python3 cloudflare_site.py 

Using existing API key from env (secrets dir: /Users/user/.zenrows) Zenrows MCP server running on stdio (secrets dir: /Users/user/.zenrows) calling extract {'url': 'https://www.indeed.com/jobs?q=data+analyst&l=Austin%2C+TX'} result: {"ok":true,"mode":"auto","empty":false,"data":{"job_listings":[{"benefits":null,"company_logo_url":null,"company_name":"Paywall Bypass","detail_url":"/rc/clk?jk=1d9d5ad6081ee5e0&bb=0Jmy1L_Rym9Qr_CYZLvqO-iSA0EMSX-Z6TVgVMeYzV9VdW2jJoxc32S2GChQtdu5Qm9Zo3b5B6zKmWui0wMrKaTa7wukcUUmE83DPPtvU-K-2B_k_liBF0N Here are the company names and job titles from the Indeed search results in Austin, TX: 1. **Paywall Bypass** - Data Analyst 2. **Visa U.S.A. Inc.** - Data & Insights Analyst 3. **Texas Department of Transportation** - Data Analyst IV 4. **Austin Community College** - Analyst, Institutional Research (Hourly) 5. **Austin Community College** - Analyst, Human Resources Data 6. **University of Texas at Austin** - Data Analyst, College of Liberal Arts 7. **Steck Systems** - Data Analyst 8. **Apple** - Business Insights Analyst, Apple Store Online Operations 9. **Google** - Business Data Analyst II, Google Global Infrastructure, Strategy and Operations 10. **Google** - Business Data Analyst II, Google Global Infrastructure, Strategy and Operations 11. **University of Texas at Austin** - Senior Data Analyst 12. **The University of St. Augustine for Health...** - Institutional Research Analyst 13. **Ericsson** - Data Analyst Strategy and Operations 14. **Texas Department of Transportation** - Business Analyst II 15. **SHI International Corporation** - Associate Analytics Engineer - Data & Visualization 16. **Health & Human Services Comm** - Data Analyst V Let me know if you'd like additional details like locations or salary information!