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Scrape recent posts from LinkedIn profiles using Apify.
Passed 18 of 22 test cases with the skill, and 4 of 22 without it.
and 14 more in the full report
16 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
What environment variable name is automatically inspected by the post scraper to obtain the necessary Apify credential?
| Checked | Without skill | With skill |
|---|---|---|
| Names APIFY_API_TOKEN as the environment variable | Missed | Passed |
The instructions your model reads when the skill loads.
Scrape recent posts from specific LinkedIn profiles using the Apify harvestapi/linkedin-profile-posts actor.
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
| 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 |
~$2 per 1,000 posts scraped. The script prints a cost estimate before running.
test cases passed, vs 4 / 22 without
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