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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.

The English summary is being prepared. Showing the original description.

Works withLinkedIn

Run score Not tested

See how to install

Files included (3)

  • SKILL.md1.9 KB
  • scripts/scrape_linkedin_posts.py9.3 KB
  • skill.meta.json281 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

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/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

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)

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