A powerful skill for searching and extracting LinkedIn posts, engagement metrics, and author data via the Apify platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-search-posts
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install linkedin-search-posts using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LinkedIn Post Search?
This skill provides a seamless interface for AI agents to query LinkedIn content using the harvestapi/linkedin-post-search actor. By integrating this into Openclaw Skills, developers can programmatically retrieve post text, author details, and media assets based on complex search queries or specific profile filters. It is designed to bridge the gap between social media activity and automated data analysis, allowing for real-time monitoring of professional discourse.
The tool handles the complexities of LinkedIn's search infrastructure, supporting boolean operators and various sorting methods. Whether you are tracking brand mentions or gathering industry insights, this skill ensures that the data is delivered in a structured, actionable JSON format, ready for further processing by LLMs or database ingestion.
LinkedIn Post Search Use Cases
- Monitor industry-specific keywords to stay ahead of market trends.
- Track competitor activity by filtering for specific company public identifiers.
- Conduct lead generation by identifying users engaging with relevant professional topics.
- Perform sentiment analysis on posts and comments related to a specific product launch.
- Archive historical post data from thought leaders for research and content curation.
How LinkedIn Post Search Works
- The agent receives a request containing search queries or specific author filters.
- A POST request is dispatched to the Apify API to trigger the LinkedIn search actor using the provided token.
- The system monitors the run status by polling the Apify run ID until the scraping process is marked as succeeded.
- Once the data is ready, the skill fetches the dataset containing all scraped items.
- The results are parsed and returned as a structured list of posts, including metadata like engagement counts and author profiles.
LinkedIn Post Search Setup
To use this skill, you must have an active Apify account and an API token. Configure the environment variable in your configuration file as follows:
# Configure in openclaw.json
# skills.entries.linkedin-search-posts.env
APIFY_API_TOKEN=your_apify_api_token_here
You can test the connectivity using a standard curl command:
curl --request POST \
--url "https://api.apify.com/v2/acts/harvestapi~linkedin-post-search/runs?token=$APIFY_API_TOKEN" \
--header 'Content-Type: application/json' \
--data '{"searchQueries": ["Openclaw Skills"], "maxPosts": 10}'
LinkedIn Post Search Data Schema & Taxonomy
The skill returns a JSON array where each object represents a post or engagement item. The schema is organized as follows:
| Property | Description |
|---|---|
id |
Unique identifier for the LinkedIn post. |
content |
The full text content of the post. |
author |
Object containing name, publicIdentifier, and linkedinUrl. |
engagement |
Counters for likes, comments, and shares. |
postedAt |
Object containing the ISO date and timestamp. |
postImages |
An array of URLs for images included in the post. |
type |
Indicates if the item is a post, reaction, or comment. |
LinkedIn Post Search Advanced Features
- Boolean search operator support within the searchQueries array for complex logic.
- Deep scraping options to include reactions and comments as individual data points.
- Author-specific targeting using public identifiers, profile URLs, or internal LinkedIn IDs.
- Flexible pagination control via maxPosts or scrapePages parameters.
- Time-restricted searches ranging from the last 24 hours to the past year to ensure data freshness within Openclaw Skills.
SKILL.md
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