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Guide

Social Media Data Extraction: The Complete Guide 2025

January 5, 2026
9 min read
S
By SociaVault Team
Social MediaData ExtractionAPIWeb ScrapingComplete Guide

Social Media Data Extraction: The Complete Guide

Social media platforms hold massive amounts of data. Profiles, posts, comments, followers, engagement metrics—valuable data for marketing, research, and product development.

But getting that data? That's where it gets complicated.

This guide covers everything: what data exists, how to get it, legal considerations, and practical code examples.

What Data Can You Extract?

User Profiles

Every platform stores:

  • Basic info: Username, display name, bio, profile picture
  • Metrics: Followers, following, post count
  • Verification: Blue checkmarks, business accounts
  • Metadata: Account creation date, location, links

Content

  • Posts/Videos: Text, media URLs, captions
  • Engagement: Likes, comments, shares, views
  • Timestamps: When content was posted
  • Hashtags/Mentions: Tags and user mentions

Engagement Data

  • Comments: Text, author, timestamp, replies
  • Reactions: Like types, emoji reactions
  • Shares/Reposts: Who shared, when

Network Data

  • Followers: List of accounts following a user
  • Following: List of accounts a user follows
  • Connections: Mutual follows, relationships

Platform-by-Platform Breakdown

TikTok

Data TypeAvailabilityMethod
Profiles✅ EasyAPI
Videos✅ EasyAPI
Comments✅ EasyAPI
Followers⚠️ LimitedAPI (first 200)
Analytics❌ PrivateBusiness API only
// Get TikTok profile
const profile = await fetch(
  'https://api.sociavault.com/v1/scrape/tiktok/profile?username=charlidamelio',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

console.log({
  username: profile.data.username,
  followers: profile.data.follower_count,
  likes: profile.data.like_count,
  videos: profile.data.video_count
});

Instagram

Data TypeAvailabilityMethod
Public profiles✅ EasyAPI
Public posts✅ EasyAPI
Reels✅ EasyAPI
Comments✅ EasyAPI
Stories⚠️ LimitedRequires login
Private accounts❌ NoNot accessible
// Get Instagram profile
const profile = await fetch(
  'https://api.sociavault.com/v1/scrape/instagram/profile?username=natgeo',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

// Get recent posts
const posts = await fetch(
  'https://api.sociavault.com/v1/scrape/instagram/posts?username=natgeo&count=20',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

YouTube

Data TypeAvailabilityMethod
Channels✅ EasyAPI
Videos✅ EasyAPI
Comments✅ EasyAPI
Transcripts✅ EasyAPI
Analytics⚠️ LimitedCreator Studio only
// Get YouTube channel
const channel = await fetch(
  'https://api.sociavault.com/v1/scrape/youtube/channel?channelId=UCX6OQ3DkcsbYNE6H8uQQuVA',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

// Get video transcript (great for AI/RAG)
const transcript = await fetch(
  'https://api.sociavault.com/v1/scrape/youtube/transcript?videoId=dQw4w9WgXcQ',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

Twitter/X

Data TypeAvailabilityMethod
Profiles✅ AvailableAPI
Tweets✅ AvailableAPI
Replies✅ AvailableAPI
Followers⚠️ LimitedPaginated
Analytics❌ NoNot accessible
// Get Twitter user
const user = await fetch(
  'https://api.sociavault.com/v1/scrape/twitter/user?username=elonmusk',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

// Search tweets
const tweets = await fetch(
  'https://api.sociavault.com/v1/scrape/twitter/search?query=AI startups&count=50',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

LinkedIn

Data TypeAvailabilityMethod
Public profiles⚠️ LimitedAPI
Companies✅ AvailableAPI
Posts⚠️ LimitedAPI
Connections❌ NoPrivate

Reddit

Data TypeAvailabilityMethod
Profiles✅ EasyAPI
Posts✅ EasyAPI
Comments✅ EasyAPI
Subreddits✅ EasyAPI
Upvotes✅ EasyAPI
// Get subreddit posts
const posts = await fetch(
  'https://api.sociavault.com/v1/scrape/reddit/posts?subreddit=programming&sort=hot&count=50',
  { headers: { 'Authorization': `Bearer ${API_KEY}` } }
).then(r => r.json());

Extraction Methods

1. Official APIs

Pros:

  • Legal and sanctioned
  • Stable endpoints
  • Good documentation

Cons:

  • Expensive (Twitter: $100/mo+)
  • Limited access
  • Strict rate limits
  • Long approval processes

Pros:

  • One API for all platforms
  • No approval wait
  • Affordable pricing
  • Handles complexity for you

Cons:

  • Costs per request
  • Dependent on provider
// One API for everything
const platforms = ['tiktok', 'instagram', 'youtube', 'twitter'];

const profiles = await Promise.all(
  platforms.map(platform =>
    fetch(`https://api.sociavault.com/v1/scrape/${platform}/profile?username=creator123`, {
      headers: { 'Authorization': `Bearer ${API_KEY}` }
    }).then(r => r.json())
  )
);

3. Web Scraping

Pros:

  • Full control
  • No API costs

Cons:

  • Breaks constantly
  • Legal gray area
  • Resource intensive
  • Requires maintenance

See our Web Scraping vs API comparison.

4. Browser Extensions

Pros:

  • Visual interface
  • Works with your session

Cons:

  • Manual process
  • Doesn't scale
  • Limited features

Python Implementation

import os
import requests
from typing import Dict, List, Optional
from dataclasses import dataclass
from datetime import datetime

API_KEY = os.getenv('SOCIAVAULT_API_KEY')
API_BASE = 'https://api.sociavault.com/v1/scrape'

@dataclass
class Profile:
    platform: str
    username: str
    name: str
    followers: int
    following: int
    posts: int
    bio: str
    avatar_url: str
    
class SocialDataExtractor:
    def __init__(self, api_key: str):
        self.api_key = api_key
        self.headers = {'Authorization': f'Bearer {api_key}'}
    
    def get_profile(self, platform: str, username: str) -> Profile:
        response = requests.get(
            f'{API_BASE}/{platform}/profile',
            params={'username': username},
            headers=self.headers
        )
        response.raise_for_status()
        data = response.json()['data']
        
        return Profile(
            platform=platform,
            username=username,
            name=data.get('nickname') or data.get('full_name') or data.get('name', ''),
            followers=data.get('follower_count') or data.get('followers', 0),
            following=data.get('following_count') or data.get('following', 0),
            posts=data.get('video_count') or data.get('posts_count', 0),
            bio=data.get('bio') or data.get('description', ''),
            avatar_url=data.get('avatar_url') or data.get('profile_pic_url', '')
        )
    
    def get_posts(self, platform: str, username: str, count: int = 20) -> List[Dict]:
        endpoint = 'videos' if platform == 'tiktok' else 'posts'
        
        response = requests.get(
            f'{API_BASE}/{platform}/{endpoint}',
            params={'username': username, 'count': count},
            headers=self.headers
        )
        response.raise_for_status()
        return response.json()['data'].get('posts') or response.json()['data'].get('videos', [])
    
    def search(self, platform: str, query: str, count: int = 50) -> List[Dict]:
        response = requests.get(
            f'{API_BASE}/{platform}/search',
            params={'query': query, 'count': count},
            headers=self.headers
        )
        response.raise_for_status()
        return response.json()['data']

# Usage
extractor = SocialDataExtractor(API_KEY)

# Get profile
profile = extractor.get_profile('tiktok', 'charlidamelio')
print(f"{profile.name}: {profile.followers:,} followers")

# Get recent posts
posts = extractor.get_posts('instagram', 'natgeo', count=10)
for post in posts:
    print(f"- {post['like_count']:,} likes: {post['caption'][:50]}...")

JavaScript/TypeScript Implementation

interface Profile {
  platform: string;
  username: string;
  name: string;
  followers: number;
  following: number;
  posts: number;
  bio: string;
  avatarUrl: string;
}

interface Post {
  id: string;
  caption: string;
  likeCount: number;
  commentCount: number;
  timestamp: string;
  mediaUrl: string;
}

class SocialDataExtractor {
  private apiKey: string;
  private baseUrl = 'https://api.sociavault.com/v1/scrape';
  
  constructor(apiKey: string) {
    this.apiKey = apiKey;
  }
  
  private async fetch<T>(endpoint: string, params: Record<string, string>): Promise<T> {
    const url = new URL(`${this.baseUrl}${endpoint}`);
    Object.entries(params).forEach(([k, v]) => url.searchParams.set(k, v));
    
    const response = await fetch(url.toString(), {
      headers: { 'Authorization': `Bearer ${this.apiKey}` }
    });
    
    if (!response.ok) {
      throw new Error(`API error: ${response.status}`);
    }
    
    const json = await response.json();
    return json.data;
  }
  
  async getProfile(platform: string, username: string): Promise<Profile> {
    const data = await this.fetch<any>(`/${platform}/profile`, { username });
    
    return {
      platform,
      username,
      name: data.nickname || data.full_name || data.name || '',
      followers: data.follower_count || data.followers || 0,
      following: data.following_count || data.following || 0,
      posts: data.video_count || data.posts_count || 0,
      bio: data.bio || data.description || '',
      avatarUrl: data.avatar_url || data.profile_pic_url || ''
    };
  }
  
  async getPosts(platform: string, username: string, count = 20): Promise<Post[]> {
    const endpoint = platform === 'tiktok' ? '/videos' : '/posts';
    const data = await this.fetch<any>(`/${platform}${endpoint}`, {
      username,
      count: count.toString()
    });
    
    return (data.posts || data.videos || []).map((post: any) => ({
      id: post.id || post.post_id,
      caption: post.caption || post.description || '',
      likeCount: post.like_count || post.likes || 0,
      commentCount: post.comment_count || post.comments || 0,
      timestamp: post.timestamp || post.created_at,
      mediaUrl: post.url || post.media_url || ''
    }));
  }
  
  async search(platform: string, query: string, count = 50): Promise<any[]> {
    return this.fetch(`/${platform}/search`, { query, count: count.toString() });
  }
}

// Usage
const extractor = new SocialDataExtractor(process.env.SOCIAVAULT_API_KEY!);

const profile = await extractor.getProfile('tiktok', 'charlidamelio');
console.log(`${profile.name}: ${profile.followers.toLocaleString()} followers`);

Common Use Cases

1. Influencer Marketing

Find and vet creators:

def analyze_influencer(username, platforms=['tiktok', 'instagram']):
    results = {}
    
    for platform in platforms:
        profile = extractor.get_profile(platform, username)
        posts = extractor.get_posts(platform, username, count=30)
        
        avg_engagement = sum(p['like_count'] + p['comment_count'] for p in posts) / len(posts)
        engagement_rate = (avg_engagement / profile.followers) * 100 if profile.followers > 0 else 0
        
        results[platform] = {
            'followers': profile.followers,
            'engagement_rate': round(engagement_rate, 2),
            'posting_frequency': calculate_posting_frequency(posts),
            'top_content': get_top_posts(posts, 3)
        }
    
    return results

2. Market Research

Monitor industry trends:

def track_hashtag(hashtag, platform='tiktok', days=7):
    posts = extractor.get_hashtag_posts(platform, hashtag, count=500)
    
    return {
        'total_posts': len(posts),
        'total_views': sum(p.get('view_count', 0) for p in posts),
        'avg_engagement': calculate_avg_engagement(posts),
        'top_creators': get_top_creators(posts),
        'trending_sounds': extract_sounds(posts),
        'peak_posting_times': analyze_timestamps(posts)
    }

3. Competitor Analysis

Compare social performance:

def compare_competitors(usernames):
    results = []
    
    for username in usernames:
        data = {
            'username': username,
            'platforms': {}
        }
        
        for platform in ['tiktok', 'instagram', 'youtube']:
            try:
                profile = extractor.get_profile(platform, username)
                data['platforms'][platform] = {
                    'followers': profile.followers,
                    'posts': profile.posts
                }
            except:
                data['platforms'][platform] = None
        
        results.append(data)
    
    return sorted(results, key=lambda x: sum(
        p['followers'] for p in x['platforms'].values() if p
    ), reverse=True)

4. Content Research

Find what works:

def analyze_top_content(username, platform='instagram'):
    posts = extractor.get_posts(platform, username, count=100)
    
    sorted_posts = sorted(posts, key=lambda p: p['like_count'], reverse=True)
    
    top_posts = sorted_posts[:10]
    
    return {
        'top_posts': top_posts,
        'common_themes': extract_themes(top_posts),
        'optimal_length': avg_caption_length(top_posts),
        'best_hashtags': get_common_hashtags(top_posts),
        'best_posting_times': get_posting_times(top_posts)
    }

What's Generally OK

  • Public data (no login required)
  • Personal/internal use
  • Research with consent
  • Aggregate, anonymized data

What's Risky

  • Private/protected data
  • Violating ToS at scale
  • Reselling personal data
  • Scraping after cease & desist

Best Practices

  1. Respect robots.txt - At least read it
  2. Don't scrape private data - Stick to public info
  3. Rate limit requests - Don't hammer servers
  4. Store responsibly - Follow GDPR/CCPA
  5. Use APIs when available - Safer legally

Getting Started

  1. Sign up at sociavault.com
  2. Get 50 free credits - No credit card required
  3. Test in playground - Try endpoints at dashboard/playground
  4. Build your integration - Use the code examples above

Ready to extract social media data?

Get started at sociavault.com.


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