skills/athina-ai/goose-skills/linkedin-influencer-discovery

linkedin-influencer-discovery

SKILL.md

LinkedIn Influencer Discovery

Discover top LinkedIn influencers by topic, country, and follower count using the Apify powerai/influencer-filter-api-scraper actor. Queries a database of 3.6M+ influencer profiles filtered to those with LinkedIn presence.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.

# Find top AI influencers with LinkedIn profiles
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
  --topic "artificial intelligence" --max-results 50 --output summary

# Find SaaS influencers in the US
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
  --topic "saas" --country "United States of America" --output summary

# Find marketing influencers with email available
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
  --topic "marketing" --has-email --max-results 100

# Filter to a specific follower range
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
  --topic "fintech" --min-followers 10000 --max-followers 500000 --output summary

CLI Reference

Flag Default Description
--topic required Topic to search (e.g. "artificial intelligence", "saas", "marketing")
--category none Category filter (e.g. "technology", "business", "lifestyle")
--country none Country (e.g. "United States of America", "United Kingdom")
--language English Language filter
--min-followers 0 Minimum follower count (client-side filter)
--max-followers 0 (unlimited) Maximum follower count (client-side filter)
--has-email false Only return influencers with an email address
--max-results 100 Max influencers to discover (up to 1000)
--output json Output format: json or summary
--token env var Apify token (prefer APIFY_API_TOKEN env var)
--timeout 600 Max seconds to wait for Apify run

Cost

~$0.01 per result. 100 influencers ~ $1.00. The script prints a cost estimate before running.

Output Fields

Each influencer result includes (when available):

  • full_name - Display name
  • username - Social media handle
  • biography - Bio text
  • follower_count - Total followers (across platforms)
  • following_count - Following count
  • main_topic - Primary topic/niche
  • topics - List of associated topics
  • category_name - Category classification
  • linkedin_url - LinkedIn profile URL
  • has_email - Whether email is available
  • external_url - Website URLs
  • country, city - Location
  • is_verified - Verification status

Notes

  • Results are sorted by follower count (descending) by default
  • The actor queries a pre-indexed database, not live LinkedIn search
  • Follower counts are across all platforms, not LinkedIn-specific
  • The --min-followers and --max-followers flags filter client-side after results return
  • For detailed LinkedIn profile enrichment after discovery, chain with get-linkedin-profile
  • For post analysis, chain with linkedin-profile-post-scraper
Weekly Installs
8
GitHub Stars
340
First Seen
Mar 14, 2026
Installed on
opencode7
gemini-cli7
antigravity7
claude-code7
github-copilot7
codex7