Social Media Data Extraction Skill

Overview

This skill enables Claude to extract public data from Instagram, TikTok, and Reddit for trend analysis, content research, competitor monitoring, and audience insights — powered by the Apify platform.

🔗 Sign up for Apify here: https://www.apify.com/?fpr=dx06p

What This Skill Does

• Extract public posts, hashtags, and profiles from Instagram
• Scrape trending videos, comments, and creator stats from TikTok
• Pull posts, threads, comments, and subreddit data from Reddit
• Aggregate data across platforms for unified trend analysis
• Output structured JSON data ready for analysis, dashboards, or export

Step 1 — Get Your Apify API Token

1. Go to https://www.apify.com/?fpr=dx06p and create a free account
2. Once logged in, navigate to Settings → Integrations
   • Direct link: https://console.apify.com/account/integrations
3. Copy your Personal API Token — format: apify_api_xxxxxxxxxxxxxxxx
4. Store it as an environment variable:

   export APIFY_TOKEN=apify_api_xxxxxxxxxxxxxxxx
   

Free tier includes $5/month of free compute — enough for regular trend monitoring runs.

Step 2 — Install the Apify Client

npm install apify-client

Dedicated Actors by Platform

Instagram

TikTok

Reddit

Examples

Extract Instagram Posts by Hashtag

import ApifyClient from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor("apify/instagram-hashtag-scraper").call({
  hashtags: ["trending", "viral", "fyp"],
  resultsLimit: 50
});

const { items } = await run.dataset().getData();

// Each item contains:
// { id, shortCode, caption, likesCount, commentsCount,
//   timestamp, ownerUsername, url, hashtags[] }

console.log(`Extracted ${items.length} posts`);

Extract TikTok Trending Videos by Hashtag

const run = await client.actor("apify/tiktok-hashtag-scraper").call({
  hashtags: ["trending", "lifehack"],
  resultsPerPage: 30,
  shouldDownloadVideos: false
});

const { items } = await run.dataset().getData();

// Each item contains:
// { id, text, createTime, authorMeta, musicMeta,
//   diggCount, shareCount, playCount, commentCount }