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Use Agno Agents and Brightdata to collect, process, and scale access to public web data for building, running, and scaling web data operations. 

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.brightdata import BrightDataTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

# Example 1: Include specific BrightData functions for web scraping
scraping_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[
        BrightDataTools(include_tools=["web_scraper", "serp_google", "serp_amazon"])
    ],
    markdown=True,
)

# Example 2: Exclude screenshot functions for performance
no_screenshot_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[BrightDataTools(exclude_tools=["screenshot_generator"])],
    markdown=True,
)

# Example 3: Full BrightData functionality (default)
agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[BrightDataTools()],
    markdown=True,
)

# Example 1: Scrape a webpage as Markdown

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "Scrape this webpage as markdown: https://docs.agno.com/introduction",
    )

    # Example 2: Take a screenshot of a webpage
    # agent.print_response(
    #     "Take a screenshot of this webpage: https://docs.agno.com/introduction",
    # )

    # response = agent.run_response
    # if response.images:
    #     save_base64_data(response.images[0].content, "tmp/agno_screenshot.png")

    # Add a new SERP API zone: https://brightdata.com/cp/zones/new
    # Example 3: Search using Google
    # agent.print_response(
    #     "Search Google for 'Python web scraping best practices' and give me the top 5 results",
    # )

    # Example 4: Get structured data from Amazon product
    # agent.print_response(
    #     "Get detailed product information from this Amazon product: https://www.amazon.com/dp/B0D2Q9397Y?th=1&psc=1",
    # )

    # Example 5: Get LinkedIn profile data
    # agent.print_response(
    #     "Search for Satya Nadella on LinkedIn and give me a summary of his profile"
    # )

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python brightdata_tools.py
For details, see Brightdata cookbook.