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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.

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Published by gooseworks-ai ↗gooseworks-ai/goose-skills

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SKILL.md

name: linkedin-profile-post-scraperdescription: >  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.

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.

# Scrape recent posts from a profile
python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
  --profiles "https://www.linkedin.com/in/example-person" --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/example-person" --output summary

CLI Reference

FlagDefaultDescription
--profilesrequiredLinkedIn profile URL(s), comma-separated
--max-posts20Max posts to scrape per profile
--keywordsnoneKeywords to filter (comma-separated, OR logic)
--days30Only include posts from last N days
--outputjsonOutput format: json or summary
--tokenenv varApify token (prefer APIFY_API_TOKEN env var)
--timeout300Max 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)