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Influencer Discovery via Apify

Find, compare and summarise social media influencers using Apify scrapers, with public-data limits

Stars
49,023
Licence
MIT
Files
2 files

What it does

Once installed, the agent can help you find and compare influencers on Instagram, Facebook, YouTube and TikTok. It picks a suitable Apify scraper (a paid cloud data-collection service), asks you about output format and result count, then runs a bundled Node.js script that pulls public profile and post data into a chat summary, CSV or JSON file. It also reminds the agent to treat follower and like counts as weak evidence of authenticity, not proof.

Great for

  • Brand or agency teams building a shortlist of creators for a campaign
  • Marketers comparing public engagement metrics across platforms
  • Developers who already use Apify and want a guided influencer data pull

Skip it if

  • Verifying an influencer's real audience, demographics or fraud: the skill itself says public counts cannot prove this, and scraped ratios should not be used to accuse anyone
  • Collecting private group data or personal contact details for unsolicited outreach, which the skill says not to do
  • Running large jobs without checking cost: Apify runs are billed and --max-items only limits downloaded output, not remote work

Try asking

  • “Find 20 fitness YouTube creators with public subscriber counts for a spring campaign”
  • “Compare recent engagement on the Instagram profiles of five skincare influencers”
  • “Export a CSV of TikTok creators who post about sustainable fashion”
  • “Summarise the top five Facebook pages in the home-baking niche in chat”
Step-by-step guide: how to use Influencer Discovery via ApifyInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the MIT licence and an attribution note.

    apify-influencer-discovery.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip apify-influencer-discovery.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip apify-influencer-discovery.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Start with a small input limit to test the Actor and check the cost before scaling up
  • Define your brief, date window and sample size first, and record the date metrics were pulled
  • Keep the .env file private and never paste the token into chat

What's inside

  • reference/scripts/run_actor.js
  • SKILL.md

Redistributed unmodified from sickn33/agentic-awesome-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.