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Overview

The LinkedIn Scraper Agent Node is designed to interact with LinkedIn data efficiently. This node allows you to:

  • Search for and scrape LinkedIn posts, profiles, and companies.
  • Utilize various tools to enhance data retrieval and processing.
  • Automate LinkedIn data scraping tasks using natural language prompts.

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Configuration Parameters

To set up the LinkedIn Scraper Agent Node, configure the following parameters:

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Node Configuration

  • Prompt:

    Define the task the agent should perform on LinkedIn. For example,

    Search for companies in finance.

    Find profiles of software engineers in New York.

  • Tools:

    Select the tools available for the LinkedIn Agent to use. These tools help the agent perform specific tasks on LinkedIn.

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Expected Inputs and Outputs

  • Inputs:

    • The node accepts input data that can be referenced within the prompt.

  • Outputs:

    • output: The final result of the agent’s operations on LinkedIn.
    • conversation: A detailed log of the agent’s process and actions.

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Use Case Examples

  1. Recruitment Automation:

    Use the agent to find potential candidates by scraping profiles that match specific job criteria.

  2. Market Research:

    Automate the collection of data about companies in a particular industry to inform business strategies.

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Error Handling and Troubleshooting

  • Prompt Formatting:

    Ensure that the prompt is correctly formatted and references the input data accurately.

  • Tool Selection:

    Verify that the appropriate tools are selected for the tasks you want to perform.

If you encounter issues not covered in this documentation, please contact our support team for assistance.

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