> ## Documentation Index
> Fetch the complete documentation index at: https://docs.spongecake.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Linkedin Prospecting

> Example of using sponge cake to prospect on linkedin

### Overview

This guide walks you through an example of using **Spongecake** to prospect on LinkedIn. It covers how to:

* Automate interactions with LinkedIn.
* Handle scrolling and stopping conditions in an action prompt
* Handle user inputs and security checks.
* Use handlers to manage agent statuses.

<AccordionGroup>
  <Accordion icon="code" title="Complete Code Example">
    ```python theme={null}
    # linkedin_example.py
    import logging
    from time import sleep
    from dotenv import load_dotenv
    from spongecake import Desktop, AgentStatus
    import subprocess

    # Configure logging - most logs in the SDK are INFO level logs
    logging.basicConfig(
        level=logging.INFO,
        format='%(levelname)s - %(message)s'
    )

    load_dotenv()

    result = [None]

    # -------------------------
    # Handlers for desktop agent statuses
    # -------------------------

    def complete_handler(data):
            """COMPLETE -- Handle successful task data (just print out success message in this case)"""
            print("\n✅ Task completed successfully!")
            result[0] = data
        
    def needs_input_handler(messages):
        """NEEDS_INPUT -- Get input from the user, and pass it back to `action`"""
        for msg in messages:
            if hasattr(msg, "content"):
                text_parts = [part.text for part in msg.content if hasattr(part, "text")]
                print(f"\n💬 Agent asks: {' '.join(text_parts)}")

        user_says = input("Enter your response (or 'exit'/'quit'): ").strip()
        if user_says.lower() in ("exit", "quit"):
            print("Exiting as per user request.")
            result[0] = None  # Just return None when user exits
            return None  # Return None to indicate no further action
        return user_says  # Return the user input to continue

    def needs_safety_check_handler(safety_checks, pending_call):
        """NEEDS_SAFETY_CHECK -- Have the user acknowledge the safety checks, and pass it back to `action`"""
        print("\n")
        for check in safety_checks:
            if hasattr(check, "message"):
                print(f"☢️  Pending Safety Check: {check.message}")

        print("🔔 Please acknowledge the safety check(s) in order to proceed with the computer call.")
        ack = input("Type 'ack' to confirm, or 'exit'/'quit': ").strip().lower()
        if ack in ("exit", "quit"):
            print("Exiting as per user request.")
            result[0] = None  # Just return None when user exits
            return False  # Don't proceed
        if ack == "ack":
            print("Acknowledged. Proceeding with the computer call...")
            return True  # Proceed with the call
        return False  # Don't proceed by default
        
    def error_handler(error_message):
        """ERROR -- Handle errors (just print it out in this case)"""
        print(f"😱 ERROR: {error_message}")
        result[0] = None  # Just return None on error


    # -------------------------
    # Main
    # -------------------------

    def main():
        # Start up an isolated desktop. Edit desktop name, and docker_image if needed
        desktop = Desktop(name="newdesktop")
        container = desktop.start()
        print("🍰 spongecake container started:", container)
        print("...\n")

        # Open VNC connection to see the desktop, password is 'secret' (only works on mac)
        try:
            print('Attempting to open VNC connection to view Mac desktop, password is "secret"...')
            subprocess.run(["open", f"vnc://localhost:{desktop.vnc_port}"], check=True)
        except Exception as e:
            print(f"❌ Failed to open VNC connection: {e}")

        
        try:
            print(
                "\n👾 Performing desktop action... see output_image.png to see screenshots "
                "OR connect to the VNC server to view actions in real time"
            )

            
            user_prompt = f"""
                # AGENT INSTRUCTIONS #
                Go to www.linkedin.com/sales/search/people?savedSearchId=1864334412 [REPLACE WITH YOUR OWN LINKEDIN SEARCH/PROSPECTING URL]

                For everyone on this page, ALWAYS strictly return who is a marketing director in this JSON format: 
                marketing_directors: [
                'name': '',
                'title': '',
                ]

                A marketing director should ALWAYS be returned if: 
                - They have the words 'Marketing' and 'Director' in their title in any order. It's ok if other words are in their title
                AND 
                - We have mutual connections which you can see at the bottom of a person's profile (you NEVER have to click)

                # INTERACTION INSTRUCTIONS # 
                You are ALWAYS TO SCROLL DOWN. NEVER CLICK AND NEVER SCROLL UP
                When you have extracted EVERY marketing director, ALWAYS before you scroll down, ALWAYS output the current marketing_directors object in a JSON format, and ask the user if things look correct 

                # STOPPING CONDITION # 
                You are STRICTLY ONLY done until you have seen the pagination element at the bottom of the page 'e.g., 1 2 3 4 5 6 ...'. NEVER CLICK ON THESE PAGES - YOU ARE FINISHED WITH YOUR TASK WHEN YOU SEE THESE 
                ALWAYS RETURN strictly the marketing_directors object in a JSON format

            """

            auto_mode = False
            # If auto_mode is enabled, use the ignore_safety_and_input flag
            if auto_mode:
                status, data = desktop.action(input_text=user_prompt, ignore_safety_and_input=True)
                # In auto mode, we should get a COMPLETE or ERROR status directly
                if status == AgentStatus.ERROR:
                    print(f"❌ error in auto mode: {data}")
                result[0] = data
            else:
                # ACTION: Start the action chain with the initial command and all handlers
                status, data = desktop.action(
                    input_text=user_prompt,
                    complete_handler=complete_handler,
                    needs_input_handler=needs_input_handler,
                    needs_safety_check_handler=needs_safety_check_handler,
                    error_handler=error_handler
                )

            # Show final results
            final_result = result[0]
            if final_result is None:
                print("\n⛔️ Task was interrupted or encountered an error\n")
            elif hasattr(final_result, "output_text"):
                print(f"📩 Result: {final_result.output_text}\n")
            else:
                print("Done.\n")
        except Exception as e:
            print(f"❌ An error occurred: {e}")
            print("\nExiting gracefully...")

        # Clean up the container. Optionally, leave the container running and connect to it again when needed. 
        # print("Stopping and removing container...")
        # desktop.stop()
        print("🍰")


    if __name__ == "__main__":
        main()
    ```
  </Accordion>
</AccordionGroup>

### Notes on Prompting

* You can request responses in a specific JSON format.
* Keep agent reasoning simple—provide clear context and examples to help decisions become automatic. This improves performance.
  * Example for returning LinkedIn prospects:
  ```
  ALWAYS return a marketing director if their title includes both 'Marketing' and 'Director' (in any order). Other words in the title are okay.
  ```
* On large pages (like Sales Navigator searches), scrolling can be challenging. Clearly instruct the agent how to scroll, e.g.:
  ```
  ALWAYS SCROLL DOWN. NEVER CLICK OR SCROLL UP.
  ```
* For broader tasks (e.g., "find the best sales leads"), include a clear stopping condition. For instance:
  ```
  You're ONLY finished when you see the pagination at the bottom (e.g., '1 2 3 4 5 6...'). NEVER CLICK ON THESE—once visible, your task is complete.
  ```
