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N8N Tools - LinkedIn Enhanced

Comprehensive LinkedIn Marketing API v2 integration for N8N workflows with B2B marketing and networking features

Posts → Get Posts by Author

AI-generated

Overview

This node operation "Get Posts by Author" retrieves LinkedIn posts created by a specific author, which can be either a person or an organization. It is useful for workflows that need to analyze, monitor, or repurpose content published by a particular LinkedIn user or company. For example, marketers can use it to gather all posts from a thought leader or competitor to track engagement trends, or recruiters might fetch posts from a company to understand their recent updates.

Properties

Name Meaning
Author ID The LinkedIn ID of the author (person or organization) whose posts you want to retrieve.
Max Results Maximum number of posts to return (1 to 100). Defaults to 20.
Start Index The index of the first post to return, used for pagination. Defaults to 0.

Output

The output is a JSON array where each item corresponds to a LinkedIn post authored by the specified author. Each item contains the full post data as returned by the LinkedIn API, including metadata such as post content, timestamps, visibility, and any associated media information.

No binary data output is produced by this operation.

Dependencies

  • Requires an active subscription and valid API key credential for the external N8N Tools API service.
  • Requires OAuth2 authentication credentials for LinkedIn API access.
  • The node internally uses helper classes to interact with LinkedIn's Marketing API v2 endpoints.

Troubleshooting

  • Invalid subscription or API key error: If the node throws an error about invalid subscription or API key, verify that your API key credential is correct and has the necessary permissions.
  • LinkedIn API rate limits: Frequent requests may hit LinkedIn API rate limits; consider adding delays or reducing max results.
  • Incorrect Author ID: Ensure the Author ID is valid and corresponds to a LinkedIn person or organization.
  • Pagination issues: Use Start Index and Max Results properly to paginate through large result sets.

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