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linkedin-influencer-discovery

linkedin-influencer-discovery

github.com/gooseworks-aiMarketing & growth1.3k53 installsUpdated 3d ago
Repository

About linkedin-influencer-discovery

A command-line skill for finding LinkedIn influencers by topic, country, and follower count through an Apify actor. It queries a pre-indexed profile database and sorts results by cross-platform follower count.

Key features

  1. 01Filter by topic, category, and country
  2. 02Set follower-count bounds
  3. 03Filter for profiles with email
  4. 04Return JSON or summary output
  5. 05Estimate run cost before execution

Use cases

  1. 01Find LinkedIn creators in a niche
  2. 02Build a country-specific influencer list
  3. 03Identify creators with contact emails

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gooseworks-ai/goose-skills --skill linkedin-influencer-discovery

After installing, type/linkedin-influencer-discoveryin Claude Code to confirm it loaded.

Bundled filesscripts/discover_influencers.pyskill.meta.json

Details

From the project README

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

FlagDefaultDescription
--topicrequiredTopic to search (e.g. "artificial intelligence", "saas", "marketing")
--categorynoneCategory filter (e.g. "technology", "business", "lifestyle")
--countrynoneCountry (e.g. "United States of America", "United Kingdom")
--languageEnglishLanguage filter
--min-followers0Minimum follower count (client-side filter)
--max-followers0 (unlimited)Maximum follower count (client-side filter)
--has-emailfalseOnly return influencers with an email address
--max-results100Max influencers to discover (up to 1000)
--outputjsonOutput format: json or summary
--tokenenv varApify token (prefer APIFY_API_TOKEN env var)
--timeout600Max 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

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