Thought: I need to execute the steps in the provided BEGIN...END block. First, I will navigate to the Amazon website. Then, I will type "wireless earbuds" into the search bar and submit the search. After waiting for the search results to load, I will click on the first search result. Finally, I will extract the title, price, and description of the product and return them in a JSON format.

Action: scraping_browser_navigate
Action Input: {"url": "https://www.amazon.com"}
Observation: {'status': 'OK'}
Thought: Now I need to type "wireless earbuds" into the search bar.
Action: scraping_browser_type
Action Input: {"selector": "input[name='field-keywords']", "text": "wireless earbuds"}
Observation: {'status': 'OK'}
Thought: Now I need to click the submit button to start the search.
Action: scraping_browser_click
Action Input: {"selector": "input[type='submit']"}
Observation: {'status': 'OK'}
Thought: Now I need to wait for the search results to load.
Action: scraping_browser_wait_for
Action Input: {"selector": "div[data-component-type='s-search-result']"}
Observation: {'status': 'OK'}
Thought: Now I need to click on the first search result.
Action: scraping_browser_click
Action Input: {"selector": "div[data-component-type='s-search-result'] a.a-link-normal"}
Observation: {'status': 'OK'}
Thought: Now I need to wait for the product page to load.
Action: scraping_browser_wait_for
Action Input: {"selector": "#productTitle"}
Observation: {'status': 'OK'}
Thought: Now I need to get the product title.
Action: scraping_browser_get_text
Action Input: {"selector": "#productTitle"}
Observation: {'status': 'OK', 'text': 'TOZO T6 True Wireless Earbuds Bluetooth 5.3 Headphones Wireless Earphones IPX8 Waterproof Stereo Sound 
Headsets with Wireless Charging Case Black'}
Thought: Now I need to get the product price.
Action: scraping_browser_get_text
Action Input: {"selector": ".a-price .a-offscreen"}
Observation: {'status': 'OK', 'text': '$25.49'}
Thought: Now I need to get the product description.
Action: scraping_browser_get_text
Action Input: {"selector": "#feature-bullets"}
Observation: {'status': 'OK', 'text': '[\n    "\\ud83d\\udca8[Hi-Fi Stereo Sound Quality]: TOZO T6 Offers a truly authentic sound and powerful bass performance with 10 mm large size speaker driver - the drive area is 1.77 times than the normal drive area.",\n    "\\ud83d\\udca8[Bluetooth 5.3 Technology]: Adopt the advanced Bluetooth 5.3 technology. TOZO T6 Support HSP, HFP, A2DP, AVRCP, which greatly improve the transmission speed and providing you with a low-latency listening experience.",\n    "\\ud83d\\udca8[One step pairing]: Pick up 2 Headsets from Charging box They will connect each other automatically, then only one step easily enter mobile phone Bluetooth setting to pair the earbuds.",\n    "\\ud83d\\udca8[IPX8 Waterproof]: Earbuds and charging case inner Nano-coating makes it possible to waterproof for 1 meters deep for 30 minutes. Waterproof and sweatproof latest technology can effectively prevent from the damage of the splash by sweat and raindrops.",\n    "\\ud83d\\udca8[Charge on the go]: TOZO T6 wireless earbuds can last for over 6 hours’ playtime from a single charge and 30 extra hours in the compact charging case. Charging case support wireless charging and Type-C charging. Providing convenient charging way with no strings attached."\n]'}    
Thought: I have successfully extracted the title, price, and description of the product. Now I need to return them in a JSON format.
Final Answer: {"title": "TOZO T6 True Wireless Earbuds Bluetooth 5.3 Headphones Wireless Earphones IPX8 Waterproof Stereo Sound Headsets with 
Wireless Charging Case Black", "price": "$25.49", "description": "[\n    \"\\ud83d\\udca8[Hi-Fi Stereo Sound Quality]: TOZO T6 Offers a truly 
authentic sound and powerful bass performance with 10 mm large size speaker driver - the drive area is 1.77 times than the normal drive area.\",\n    \"\\ud83d\\udca8[Bluetooth 5.3 Technology]: Adopt the advanced Bluetooth 5.3 technology. TOZO T6 Support HSP, HFP, A2DP, AVRCP, which 
greatly improve the transmission speed and providing you with a low-latency listening experience.\",\n    \"\\ud83d\\udca8[One step pairing]: 
Pick up 2 Headsets from Charging box They will connect each other automatically, then only one step easily enter mobile phone Bluetooth setting to pair the earbuds.\",\n    \"\\ud83d\\udca8[IPX8 Waterproof]: Earbuds and charging case inner Nano-coating makes it possible to waterproof for 1 meters deep for 30 minutes. Waterproof and sweatproof latest technology can effectively prevent from the damage of the splash by sweat 
and raindrops.\",\n    \"\\ud83d\\udca8[Charge on the go]: TOZO T6 wireless earbuds can last for over 6 hours’ playtime from a single charge and 30 extra hours in the compact charging case. Charging case support wireless charging and Type-C charging. Providing convenient charging way with no strings attached.\"\n]"}

from mcp_agent.brightdata_mcp_agent import get_mcp_agent

async def main():
    max_steps = int(os.environ["MAX_MCP_AGENT_STEPS"])
    agent = get_mcp_agent(max_steps)

    query = """
BEGIN
  LET amazon = scraping_browser_navigate("https://www.amazon.com")
  THEN scraping_browser_type("input[name='field-keywords']", "wireless earbuds")
  THEN scraping_browser_click("input[type='submit']")
  THEN scraping_browser_wait_for("div[data-component-type='s-search-result']")
  THEN scraping_browser_click("div[data-component-type='s-search-result'] a.a-link-normal")
  THEN scraping_browser_wait_for("#productTitle")
  LET title = scraping_browser_get_text("#productTitle")
  LET price = scraping_browser_get_text(".a-price .a-offscreen")
  LET description = scraping_browser_get_text("#feature-bullets")

RETURN {
  "title": title,
  "price": price,
  "description": description
}
END
"""

    result = await agent.run(query)
    print("Structured Output:\n", result)

if __name__ == "__main__":
    asyncio.run(main())

from mcp_agent.brightdata_mcp_agent import get_mcp_agent

async def main():
    max_steps = int(os.environ["MAX_MCP_AGENT_STEPS"])
    agent = get_mcp_agent(max_steps)

    query = """
BEGIN
  # Search on Amazon
  scraping_browser_navigate("https://www.amazon.com")
  scraping_browser_type("input[name='field-keywords']", "best wireless earbuds")
  scraping_browser_click("input[type='submit']")
  scraping_browser_wait_for("div[data-component-type='s-search-result']")
  scraping_browser_click("div[data-component-type='s-search-result']")
  scraping_browser_wait_for("#productTitle")

  LET amazon_name = scraping_browser_get_text("#productTitle")
  LET amazon_price = scraping_browser_get_text(".a-price .a-offscreen")
  LET amazon_rating = scraping_browser_get_text("span[data-asin][data-variation] span.a-icon-alt")

  # Search on Walmart
  scraping_browser_navigate("https://www.walmart.com")
  scraping_browser_type("input[name='query']", amazon_name)
  scraping_browser_click("button[type='submit']")
  scraping_browser_wait_for("a[data-type='itemTitles']")
  scraping_browser_click("a[data-type='itemTitles']")
  scraping_browser_wait_for("h1")

  LET walmart_name = scraping_browser_get_text("h1")
  LET walmart_price = scraping_browser_get_text("span[class*='price']")
  LET walmart_rating = scraping_browser_get_text("span[class*='stars']")

  # Logic to choose best deal
  LET best_store = IF(amazon_price < walmart_price, "Amazon", "Walmart")
  LET reason = IF(amazon_price < walmart_price, "Amazon has the lower price", "Walmart has the lower price")

RETURN {
  "amazon_product": {
    "name": amazon_name,
    "price": amazon_price,
    "rating": amazon_rating
  },
  "walmart_product": {
    "name": walmart_name,
    "price": walmart_price,
    "rating": walmart_rating
  },
  "recommendation": {
    "best_store": best_store,
    "reason": reason
  }
}
END
"""

    result = await agent.run(query)
    print("==== Structured Response ====")
    print(result)

if __name__ == "__main__":
    asyncio.run(main())

from mcp_agent.brightdata_mcp_agent import get_mcp_agent

async def main():
    # Load .env if needed
    load_dotenv()

    max_steps = int(os.environ["MAX_MCP_AGENT_STEPS"])

    # Create MCP Agent
    agent = get_mcp_agent(max_steps)

    url = "https://www.zocdoc.com/primary-care-doctors"

    schema = """
    {
        providers[] {
            name,
            specialty,
            rating,
            review_count,
            accepted_insurance[],
            appointments[] {
            date,
            time,
            mode,
            location,
            availability_status
            }
        }
    }
    """

    prompt = f"""
    You are a healthcare data extractor bot.

    Your task is to extract structured provider information and real-time appointment availability from this page:  
    {url}

    Use the schema below to return information on primary care providers available in New York City.  
    Simulate required interactions like location filters, next-week calendar navigation, and selecting virtual visits.

    Schema:
    {schema}

    Output in JSON format only.
    """

    # Run query
    result = await agent.run(
        prompt,
        max_steps=max_steps,
    )
    print(f"\nResult: {result}")