LinkedIn Influencer Discovery
SkillDev toolsDiscover top LinkedIn influencers and voices by topic, industry, follower count, and country. Use when you need to find the top 100 voices in a space, build influencer lists for outreach, or identify thought leaders on LinkedIn.
Use LinkedIn Influencer Discovery in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add LinkedIn Influencer Discovery and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the LinkedIn Influencer Discovery skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by gooseworks-ai/goose-skills in skills/social/capabilities/linkedin-influencer-discovery/SKILL.md and read by Ahel’s review.
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 nameusername- Social media handlebiography- Bio textfollower_count- Total followers (across platforms)following_count- Following countmain_topic- Primary topic/nichetopics- List of associated topicscategory_name- Category classificationlinkedin_url- LinkedIn profile URLhas_email- Whether email is availableexternal_url- Website URLscountry,city- Locationis_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-followersand--max-followersflags filter client-side after results return - For detailed profile enrichment, use the Apify
harvestapi/linkedin-profile-scraperactor on the discovered LinkedIn URLs - For post analysis, use the Apify
harvestapi/linkedin-profile-postsactor on the discovered LinkedIn URLs
Signals
- GitHub stars
- 1k
- Forks
- 211
- Last commit
- Oct 2026
Ahel review
K1binfo
installs-packagesK1binfo
installs-packages (in scripts/discover_influencers.py)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
linkedin-influencer-discovery- Source
- github.com/gooseworks-ai/goose-skills
github.com/gooseworks-ai/goose-skills
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