Skill1.3k repo starsupdated 6d ago

linkedin-profile-post-scraper

This skill extracts recent posts from LinkedIn profiles using the Apify LinkedIn scraper actor, supporting multiple profiles, keyword filtering, and date-range restrictions. Use it to gather and analyze LinkedIn content at scale when researching individuals, monitoring thought leaders, or collecting posts for competitive intelligence.

View source Repository: goose-skills

Install in Claude Code

Copy

git clone --depth 1 https://github.com/gooseworks-ai/goose-skills /tmp/linkedin-profile-post-scraper && cp -r /tmp/linkedin-profile-post-scraper/skills/capabilities/linkedin-profile-post-scraper ~/.claude/skills/linkedin-profile-post-scraper

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# 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`)