capabilities

Linkedin Influencer Discovery

Discover 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.

by Athina AI

Run in Gooseworks View skill in Github

Install

Terminal

npx gooseworks install --claude

# Then in your agent:
/gooseworks <prompt> --skill linkedin-influencer-discovery

About This Skill

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 profile enrichment, use the Apify harvestapi/linkedin-profile-scraper actor on the discovered LinkedIn URLs
For post analysis, use the Apify harvestapi/linkedin-profile-posts actor on the discovered LinkedIn URLs

What's included

full_name - Display name

username - Social media handle

biography - Bio text

follower_count - Total followers (across platforms)

following_count - Following count

Meta Ads Analyzer

Diagnose Meta Ads campaign performance using Meta's actual system mechanics — Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue — and produce structured, testable recommendations that avoid judging segments by average CPA instead of marginal efficiency.

ads

Meta Ad Policy Checker

Pre-flight policy check for Meta ads. Takes ad copy plus advertiser context, resolves and fetches the relevant Meta transparency-center policy pages at runtime, and returns a Pass / Fix Required / Block verdict with cited findings and rewrites.

ads

Ad Lead Quality Analyzer

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.