Agent skill
linkedin-influencer-discovery
Discover top LinkedIn influencers and voices by topic, industry, follower count, and country.
Filed under LinkedIn and social and Calls, demos and discovery.
From edupegoretti/fluidz-skills · 116 skills · 0 · pushed 2026-03-11
What it does when it runs
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.
Read from the skill and the 2 files bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.
- Keys and connectors you must supply
- APIFY_API_TOKEN
- Hosts it reaches
- api.apify.com
- Tool permissions it declares
- No
allowed-toolsin the frontmatter. It does act, so it runs under whatever permissions your session already grants. - Actions present in the files
- shellnetwork
Install it
View source on GitHub ↗git clone --depth 1 --filter=blob:none --sparse https://github.com/edupegoretti/fluidz-skills.git /tmp/fluidz-skills git -C /tmp/fluidz-skills sparse-checkout set "skills/capabilities/linkedin-influencer-discovery" mkdir -p ~/.claude/skills/linkedin-influencer-discovery cp -R "/tmp/fluidz-skills/skills/capabilities/linkedin-influencer-discovery/." ~/.claude/skills/linkedin-influencer-discovery/
Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗
The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.
Before you install: this skill will not complete its job on a bare agent. It needs APIFY_API_TOKEN, which you have to obtain separately.
The skill
Source on GitHub ↗Reproduced in full from edupegoretti/fluidz-skills/blob/a2cf697e2e8ec2ea517d85496e2d5c7f5dc44cd3/skills/capabilities/linkedin-influencer-discovery/SKILL.md, which is licensed MIT (repository). 424 words, 10 headings.
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 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 LinkedIn profile enrichment after discovery, chain with
get-linkedin-profile - For post analysis, chain with
linkedin-profile-post-scraper
Files bundled with it
These load only when the skill asks for them, so they cost nothing until it runs.
Other skills for the same job
Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.
- influencer-marketing by coreyhaines31 · 45,947
- linkedin-ads by OpenClaudia · 664
- linkedin-content by OpenClaudia · 664
- linkedin-authority-builder by BrianRWagner · 403
- linkedin-profile-optimizer by BrianRWagner · 403
- community-discovery by shawnpang · 308
- discovery by louisblythe · 136
- linkedin-ads by thatrebeccarae · 119
Need help setting it up?
This page tells you what linkedin-influencer-discovery does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.
Book a call →The directory stays free. There is nothing gated behind this.