linkedin-profile-post-scraper
Scrape recent posts from LinkedIn profiles using Apify. Use when you need to monitor what specific people are posting on LinkedIn, track founder/exec activity, or gather LinkedIn content for competitive intelligence.
Best use case
linkedin-profile-post-scraper is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Scrape recent posts from LinkedIn profiles using Apify. Use when you need to monitor what specific people are posting on LinkedIn, track founder/exec activity, or gather LinkedIn content for competitive intelligence.
Teams using linkedin-profile-post-scraper should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/linkedin-profile-post-scraper/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How linkedin-profile-post-scraper Compares
| Feature / Agent | linkedin-profile-post-scraper | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Scrape recent posts from LinkedIn profiles using Apify. Use when you need to monitor what specific people are posting on LinkedIn, track founder/exec activity, or gather LinkedIn content for competitive intelligence.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# LinkedIn Profile Post Scraper Scrape recent posts from specific LinkedIn profiles using the Apify `harvestapi/linkedin-profile-posts` actor. ## Quick Start Requires `APIFY_API_TOKEN` env var (or `--token` flag). Install dependency: `pip install requests`. ```bash # Scrape recent posts from a profile python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \ --profiles "https://www.linkedin.com/in/marcelsantilli" --max-posts 10 # Multiple profiles with keyword filtering python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \ --profiles "https://www.linkedin.com/in/person1,https://www.linkedin.com/in/person2" \ --keywords "AI,growth" --days 30 # Summary table python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \ --profiles "https://www.linkedin.com/in/marcelsantilli" --output summary ``` ## CLI Reference | Flag | Default | Description | |------|---------|-------------| | `--profiles` | *required* | LinkedIn profile URL(s), comma-separated | | `--max-posts` | 20 | Max posts to scrape per profile | | `--keywords` | none | Keywords to filter (comma-separated, OR logic) | | `--days` | 30 | Only include posts from last N days | | `--output` | json | Output format: `json` or `summary` | | `--token` | env var | Apify token (prefer `APIFY_API_TOKEN` env var) | | `--timeout` | 300 | Max seconds to wait for the Apify run | ## Cost ~$2 per 1,000 posts scraped. The script prints a cost estimate before running. ## Notes - No native date filtering — dates are filtered client-side on `postedAt`/`postedDate` - Profile URLs must be full LinkedIn URLs (e.g. `https://www.linkedin.com/in/username`)
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