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.
Best use case
linkedin-influencer-discovery is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using linkedin-influencer-discovery should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/linkedin-influencer-discovery/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How linkedin-influencer-discovery Compares
| Feature / Agent | linkedin-influencer-discovery | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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