Skill730 repo starsupdated 11d ago
linkedin-influencer-discovery
This skill discovers top LinkedIn influencers by filtering a database of 3.6M+ profiles using the Apify influencer-filter-api-scraper actor. Use it to identify and contact influencers in specific topics, countries, and follower ranges for outreach, partnership, or research campaigns, with optional email availability filtering and cost estimates per query.
Install in Claude Code
Copygit clone --depth 1 https://github.com/gooseworks-ai/goose-skills /tmp/linkedin-influencer-discovery && cp -r /tmp/linkedin-influencer-discovery/skills/capabilities/linkedin-influencer-discovery ~/.claude/skills/linkedin-influencer-discoveryThen start a new Claude Code session; the skill loads automatically.
Definition
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`. ```bash # 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
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