Browser Use + Groq: Intelligent Web Research & Product Comparison
Browser Use enables AI models to autonomously browse the web and extract information through natural language instructions. Combined with Groq's fast inference speeds, you can build research agents that deliver comprehensive insights in seconds.
Key Features:
- Autonomous Browsing: AI navigates websites and clicks links without pre-programmed scripts
- Natural Language: Describe research tasks—the AI figures out how to execute them
- Multi-Source Comparison: Gather and compare information across different websites automatically
- Real-Time Data: Access live information beyond any LLM's training cutoff
- Fast Execution: Groq's 500+ tokens/second enables rapid decision-making
Quick Start
1. Install required packages:
bash
pip install openai python-dotenv2. Get your API keys:
- Groq: console.groq.com/keys
- Browser Use: browser-use.com
bash
export GROQ_API_KEY="your-groq-api-key"
export BROWSER_USE_API_KEY="your-browser-use-api-key"3. Create your first web research agent:
python
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.groq.com/api/openai/v1",
api_key=os.getenv("GROQ_API_KEY"),
timeout=300
)
tools = [{
"type": "mcp",
"server_url": "https://api.browser-use.com/mcp/",
"server_label": "browseruse",
"require_approval": "never",
"headers": {"X-Browser-Use-API-Key": os.getenv("BROWSER_USE_API_KEY")}
}]
response = client.responses.create(
model="openai/gpt-oss-120b",
input="What's the current price of Google stock?",
instructions="Use browseruse tools to find accurate, up-to-date information. Keep tasks focused and fast.",
tools=tools,
temperature=0.3,
top_p=0.8,
timeout=300
)
print(response.output_text)Advanced Examples
Product Comparison
Compare products across multiple retailers:
python
response = client.responses.create(
model="openai/gpt-oss-120b",
input="""Compare iPhone 16 Pro across:
- Apple.com
- Amazon.com
- Best Buy
For each: price, availability, promotions, shipping""",
tools=tools,
temperature=0.3
)
print(response.output_text)Competitive Analysis
Monitor competitors:
python
companies = ["OpenAI", "Anthropic", "Mistral AI"]
for company in companies:
response = client.responses.create(
model="openai/gpt-oss-120b",
input=f"""Research {company}:
- Latest product announcements
- Pricing information
- Recent news
- Key differentiators""",
tools=tools,
temperature=0.3
)
print(f"\n{company}:\n{response.output_text}")Real-Time Market Data
Get current financial information:
python
stocks = ["GOOGL", "MSFT", "NVDA"]
for ticker in stocks:
response = client.responses.create(
model="openai/gpt-oss-120b",
input=f"Get current stock price, daily change, and 52-week high/low for {ticker}",
tools=tools,
temperature=0.3
)
print(f"{ticker}: {response.output_text}")Available Browser Use Tools
| Tool | Description |
|---|---|
browser_task | Execute complex browsing tasks with natural language |
get_browser_task_status | Check status of running browser tasks |
create_session | Start new browser session with persistent state |
navigate_to_url | Direct navigation to specific URLs |
extract_data | Extract specific data from web pages |
interact_with_page | Click, type, and interact with page elements |
Challenge: Build an automated deal finder that monitors shopping sites, compares prices, tracks changes, and alerts you when the best deals appear!