tiktok-influencer-finder
Find TikTok influencers using Apify's Influencer Discovery Agent. Use when the user wants to discover TikTok creators or influencers in any niche.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill tiktok-influencer-finder- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads tiktok-influencer-finder automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
TikTok Influencer Finder
Search for TikTok influencers matching a specific niche using Apify's Influencer Discovery Agent.
Quick Start
Requires requests and either GOOSEWORKS_API_KEY or APIFY_API_TOKEN env var.
# Basic search
python3 skills/tiktok-influencer-finder/scripts/find_influencers.py \
--description "fitness coaches for women over 40"
# With follower filters
python3 skills/tiktok-influencer-finder/scripts/find_influencers.py \
--description "AI and tech reviewers" \
--min-followers 10000 --max-followers 500000
# Summary table output
python3 skills/tiktok-influencer-finder/scripts/find_influencers.py \
--description "vegan cooking creators" --output summary
# CSV export
python3 skills/tiktok-influencer-finder/scripts/find_influencers.py \
--description "sustainable fashion" --output csv
Step 1: Gather Criteria
Before running the search, ask the user for their filtering criteria. Collect ALL of the following:
- Niche/Description: What type of influencer? (use $ARGUMENTS if provided, otherwise ask)
- Minimum follower count: e.g. 5K, 10K, 50K
- Maximum follower count: e.g. 50K, 100K, 500K
- Location filter: e.g. US only, US + Canada, any English-speaking country
- Sub-niche preferences: Any specific content focus within the broader niche
Ask all 5 criteria in a single question to minimize back-and-forth. Provide sensible default options but always allow custom input.
Step 2: Run the Search
Compose a detailed --description combining the user's niche, content style preferences, and target audience. Be specific and descriptive.
python3 skills/tiktok-influencer-finder/scripts/find_influencers.py \
--description "fitness coaches targeting women over 40, focus on home workouts and healthy aging" \
--min-followers 5000 --max-followers 500000 \
--min-fit 0.6 \
--output json
The script uses apify~influencer-discovery-agent actor. It routes through the GooseWorks proxy when GOOSEWORKS_API_KEY is set, or directly to Apify when APIFY_API_TOKEN is set.
Step 3: Filter Results
After receiving results, apply the user's criteria:
- Remove profiles below minimum follower count
- Remove profiles above maximum follower count
- Remove profiles outside the specified location(s)
- Remove profiles that don't match the sub-niche (use the
fitscore andfitDescriptionto judge relevance; generally exclude fit < 0.6) - Sort remaining results by fit score (descending), then by follower count (descending)
Step 4: Present Results
Present filtered results in a clean markdown table:
| Creator | Handle | Followers | Engagement | Location | Focus | Fit Score |
Include:
- Clickable TikTok profile links
- Follower count formatted readably (e.g. 46.3K)
- Engagement rate as percentage
- Brief description of their content focus
- The AI-generated fit score
After the table, include:
- Total profiles analyzed vs profiles matching criteria
- A note if very few results matched (suggest adjusting criteria)
- Offer to run another search with different keywords or adjusted criteria
CLI Reference
| Flag | Default | Description |
|---|---|---|
--description | required | Describe the type of influencer to find |
--keywords | 5 | Number of search keywords to generate (max 5) |
--profiles-per-keyword | 10 | Profiles per keyword (max 10) |
--min-followers | none | Minimum follower count filter |
--max-followers | none | Maximum follower count filter |
--min-fit | 0.0 | Minimum fit score (0.0-1.0) |
--output | json | Output format: json, csv, summary |
--token | env var | Apify token (overrides env vars) |
--timeout | 300 | Max seconds for Apify run |
Notes
- This skill searches TikTok specifically. If the user wants other platforms, let them know this is TikTok-only and suggest alternatives.
- Engagement rates above 100% can occur when viral posts drive disproportionate interaction relative to follower count.
- The influencer discovery agent may take 1-3 minutes to complete depending on search breadth.
FAQ
What does the tiktok-influencer-finder skill do?
Find TikTok influencers using Apify's Influencer Discovery Agent. Use when the user wants to discover TikTok creators or influencers in any niche.
How do I install tiktok-influencer-finder?
Run npx skills add https://github.com/gooseworks-ai/goose-skills --skill tiktok-influencer-finder in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/tiktok-influencer-finder/ (personal) or .claude/skills/tiktok-influencer-finder/ (project).
Which AI agents can use tiktok-influencer-finder?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is tiktok-influencer-finder safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains tiktok-influencer-finder?
It is published by gooseworks-ai in gooseworks-ai/goose-skills. It has 42 recorded installs.
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