Goose-skills linkedin-influencer-discovery

install

source · Clone the upstream repo

git clone https://github.com/gooseworks-ai/goose-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/gooseworks-ai/goose-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/capabilities/linkedin-influencer-discovery" ~/.claude/skills/gooseworks-ai-goose-skills-linkedin-influencer-discovery && rm -rf "$T"

manifest: skills/capabilities/linkedin-influencer-discovery/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

# 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