Social media drives restaurant discovery more than Yelp ever did. TikTok made "Dubai chocolate" a global sensation overnight. Instagram decides which restaurants have lines around the block. A single viral food video can turn a local spot into a destination.

If you run a restaurant, food brand, or hospitality business, you need to know: What are competitors posting? Which food trends are exploding? Who are the local food influencers worth partnering with?

Here's how to answer all of that with data.

Monitor Competitor Restaurants

Track how competitor restaurants perform on social media:

const API_KEY = process.env.SOCIAVAULT_API_KEY;
const BASE = 'https://api.sociavault.com/v1/scrape';
const headers = { 'X-API-Key': API_KEY };

async function compareRestaurants(handles) {
  const results = [];

  for (const handle of handles) {
    // Instagram profile
    const profileRes = await fetch(
      `${BASE}/instagram/profile?handle=${encodeURIComponent(handle)}`,
      { headers }
    );
    const profile = (await profileRes.json()).data;

    // Recent posts
    const postsRes = await fetch(
      `${BASE}/instagram/posts?handle=${encodeURIComponent(handle)}`,
      { headers }
    );
    const posts = (await postsRes.json()).data || [];

    const avgLikes = posts.reduce((sum, p) => sum + (p.like_count || 0), 0) / Math.max(posts.length, 1);
    const avgComments = posts.reduce((sum, p) => sum + (p.comment_count || 0), 0) / Math.max(posts.length, 1);

    results.push({
      handle,
      followers: profile?.follower_count || 0,
      posts: profile?.media_count || 0,
      avgLikes: Math.round(avgLikes),
      avgComments: Math.round(avgComments),
      bio: profile?.biography || '',
      website: profile?.external_url || ''
    });

    await new Promise(r => setTimeout(r, 1000));
  }

  console.log('\nRestaurant Social Media Comparison:');
  console.table(results.map(r => ({
    Restaurant: `@${r.handle}`,
    Followers: r.followers.toLocaleString(),
    'Avg Likes': r.avgLikes.toLocaleString(),
    'Avg Comments': r.avgComments,
    'ER %': ((r.avgLikes + r.avgComments) / Math.max(r.followers, 1) * 100).toFixed(2)
  })));

  return results;
}

// Example: Compare pizza restaurants in NYC
compareRestaurants([
  'joesPizzaNYC',
  'princestpizza',
  'lucalibrooklyn',
  'difara_pizza'
]);

Track Food Trends on TikTok

TikTok creates food trends faster than any other platform. Monitor what's gaining traction:

async function trackFoodTrends(keywords) {
  const trends = [];

  for (const keyword of keywords) {
    const res = await fetch(
      `${BASE}/tiktok/search/videos?query=${encodeURIComponent(keyword)}`,
      { headers }
    );
    const videos = (await res.json()).data || [];

    const totalViews = videos.reduce((sum, v) => sum + (v.stats?.playCount || 0), 0);
    const avgLikes = videos.reduce((sum, v) => sum + (v.stats?.diggCount || 0), 0) / Math.max(videos.length, 1);

    trends.push({
      keyword,
      videoCount: videos.length,
      totalViews,
      avgLikes: Math.round(avgLikes),
      topCreator: videos[0] ? (videos[0].author?.uniqueId || 'unknown') : 'N/A'
    });

    await new Promise(r => setTimeout(r, 1000));
  }

  trends.sort((a, b) => b.totalViews - a.totalViews);

  console.log('\nFood Trend Report:');
  console.table(trends.map(t => ({
    Trend: t.keyword,
    Videos: t.videoCount,
    'Total Views': t.totalViews.toLocaleString(),
    'Avg Likes': t.avgLikes.toLocaleString(),
    'Top Creator': `@${t.topCreator}`
  })));

  return trends;
}

// Track current food trends
trackFoodTrends([
  'dubai chocolate bar',
  'birria tacos',
  'croissant recipe',
  'bento box lunch',
  'korean corn dog',
  'cottage cheese recipes',
  'protein ice cream',
  'smash burger',
  'matcha latte art',
  'sourdough bread'
]);

Why This Matters for Restaurants

When a food trend is blowing up on TikTok, restaurants that add it to their menu (and post about it) get free exposure. Track trends weekly and you'll always know what to put on your specials board.

Find Local Food Influencers

Food influencers drive real foot traffic. Find the ones in your area:

async function findFoodInfluencers(city) {
  const searchTerms = [
    `${city} food`,
    `${city} restaurants`,
    `${city} foodie`,
    `best eats ${city}`
  ];

  const creators = [];

  for (const term of searchTerms) {
    const res = await fetch(
      `${BASE}/tiktok/search/users?query=${encodeURIComponent(term)}`,
      { headers }
    );
    const users = (await res.json()).data || [];

    for (const user of users.slice(0, 5)) {
      const handle = user.uniqueId || user.unique_id;
      
      // Check if already in list
      if (creators.some(c => c.handle === handle)) continue;

      const profileRes = await fetch(
        `${BASE}/tiktok/profile?handle=${encodeURIComponent(handle)}`,
        { headers }
      );
      const profile = (await profileRes.json()).data;
      if (!profile) continue;

      const followers = profile.stats?.followerCount || 0;
      if (followers < 1000) continue;

      creators.push({
        handle,
        name: profile.user?.nickname,
        followers,
        likes: profile.stats?.heartCount || 0,
        videos: profile.stats?.videoCount || 0,
        bio: profile.user?.signature || '',
        searchTerm: term
      });

      await new Promise(r => setTimeout(r, 800));
    }
  }

  creators.sort((a, b) => b.followers - a.followers);

  console.log(`\nFood Influencers — ${city}:`);
  creators.forEach(c => {
    console.log(`  @${c.handle} — ${c.followers.toLocaleString()} followers | ${c.videos} videos`);
  });

  return creators;
}

// Find food influencers in your city
findFoodInfluencers('Austin');

Food Influencer Tier Guide

Tier	Followers	Best For	Typical Cost
Nano (1K–5K)	Local food bloggers	Free meal + social mention	Comped meal
Micro (5K–25K)	City-level food accounts	Restaurant reviews	$100-300 + meal
Mid (25K–100K)	Regional food influencers	Launch campaigns	$500-2,000
Macro (100K+)	National food creators	Brand awareness	$2,000-10,000

For most restaurants, nano and micro food influencers deliver the best ROI. They have highly local audiences — exactly the people who might actually visit your restaurant.

Analyze What Content Works for Restaurants

async function analyzeRestaurantContent(handle) {
  const res = await fetch(
    `${BASE}/instagram/posts?handle=${encodeURIComponent(handle)}`,
    { headers }
  );
  const posts = (await res.json()).data || [];

  const categories = {
    food_photo: { patterns: ['dish', 'menu', 'special', 'new'], posts: [], avgEng: 0 },
    behind_scenes: { patterns: ['kitchen', 'chef', 'behind', 'making', 'prep'], posts: [], avgEng: 0 },
    customer: { patterns: ['thank', 'review', 'customer', 'guest', 'visit'], posts: [], avgEng: 0 },
    event: { patterns: ['event', 'live', 'tonight', 'weekend', 'happy hour'], posts: [], avgEng: 0 },
    team: { patterns: ['team', 'staff', 'hiring', 'family', 'crew'], posts: [], avgEng: 0 },
  };

  for (const post of posts) {
    const caption = (post.caption?.text || '').toLowerCase();
    const eng = (post.like_count || 0) + (post.comment_count || 0);

    for (const [cat, config] of Object.entries(categories)) {
      if (config.patterns.some(p => caption.includes(p))) {
        config.posts.push({ ...post, engagement: eng });
        break;
      }
    }
  }

  console.log(`\nContent Analysis for @${handle}:`);
  for (const [cat, config] of Object.entries(categories)) {
    if (config.posts.length === 0) continue;
    const avg = config.posts.reduce((s, p) => s + p.engagement, 0) / config.posts.length;
    console.log(`  ${cat}: ${config.posts.length} posts, avg engagement: ${Math.round(avg).toLocaleString()}`);
  }
}

analyzeRestaurantContent('shake_shack');

Restaurant Content That Typically Performs Best

Content Type	Engagement Level	Why It Works
Food close-ups	Very high	People eat with their eyes first
Behind-the-kitchen	High	Authenticity and craft appeal
TikTok recipe reveals	Very high	Shareability and save-worthy
Customer UGC reposts	Medium-high	Social proof
Staff features	Medium	Humanizes the brand
Menu announcements	Medium	Actionable (drives visits)
Event promos	Low-medium	Limited audience interest

Monitor Reviews and Mentions

Track what people are saying about your restaurant across platforms:

import os
import requests
import time

API_KEY = os.environ["SOCIAVAULT_API_KEY"]
BASE = "https://api.sociavault.com/v1/scrape"
HEADERS = {"X-API-Key": API_KEY}

def monitor_restaurant_mentions(restaurant_name, city=""):
    """Search for restaurant mentions across platforms"""
    query = f"{restaurant_name} {city}".strip()
    
    mentions = {"twitter": [], "threads": [], "reddit": []}
    
    # Twitter
    r = requests.get(f"{BASE}/twitter/search", headers=HEADERS, params={"query": query})
    mentions["twitter"] = r.json().get("data", [])
    time.sleep(1)
    
    # Threads
    r = requests.get(f"{BASE}/threads/search", headers=HEADERS, params={"query": query})
    mentions["threads"] = r.json().get("data", [])
    time.sleep(1)
    
    # Reddit
    r = requests.get(f"{BASE}/reddit/search", headers=HEADERS, params={"query": query})
    mentions["reddit"] = r.json().get("data", [])

    total = sum(len(v) for v in mentions.values())
    print(f"\nMentions for '{query}':")
    print(f"  Twitter: {len(mentions['twitter'])}")
    print(f"  Threads: {len(mentions['threads'])}")
    print(f"  Reddit: {len(mentions['reddit'])}")
    print(f"  Total: {total}")

    # Simple sentiment check
    positive_words = ["amazing", "best", "love", "delicious", "incredible", "perfect", "must try"]
    negative_words = ["terrible", "worst", "awful", "disgusting", "overrated", "never again", "food poisoning"]

    all_texts = []
    for platform, posts in mentions.items():
        for post in posts:
            text = ""
            if platform == "twitter":
                text = post.get("legacy", {}).get("full_text", "") or post.get("full_text", "")
            elif platform == "threads":
                text = post.get("caption", {}).get("text", "") if isinstance(post.get("caption"), dict) else ""
            elif platform == "reddit":
                text = post.get("title", "") + " " + post.get("selftext", "")
            all_texts.append(text.lower())

    pos = sum(1 for t in all_texts if any(w in t for w in positive_words))
    neg = sum(1 for t in all_texts if any(w in t for w in negative_words))
    
    print(f"\n  Sentiment: {pos} positive, {neg} negative, {len(all_texts) - pos - neg} neutral")

    return mentions

monitor_restaurant_mentions("Shake Shack", "NYC")

Weekly Restaurant Competitive Report

Automate a weekly report that covers all your local competitors:

async function weeklyRestaurantReport(competitors) {
  const report = [];

  for (const handle of competitors) {
    const profileRes = await fetch(
      `${BASE}/instagram/profile?handle=${encodeURIComponent(handle)}`,
      { headers }
    );
    const profile = (await profileRes.json()).data;
    
    const postsRes = await fetch(
      `${BASE}/instagram/posts?handle=${encodeURIComponent(handle)}`,
      { headers }
    );
    const posts = (await postsRes.json()).data || [];

    // Get last 7 days of posts (approximate)
    const recentPosts = posts.slice(0, 7);
    const totalEng = recentPosts.reduce(
      (sum, p) => sum + (p.like_count || 0) + (p.comment_count || 0), 0
    );

    report.push({
      restaurant: handle,
      followers: profile?.follower_count || 0,
      postsThisWeek: recentPosts.length,
      totalEngagement: totalEng,
      avgEngPerPost: Math.round(totalEng / Math.max(recentPosts.length, 1)),
      topPostCaption: recentPosts[0]?.caption?.text?.substring(0, 80) || 'N/A'
    });

    await new Promise(r => setTimeout(r, 1500));
  }

  console.log('\n📊 Weekly Restaurant Report');
  console.log(`Generated: ${new Date().toLocaleDateString()}\n`);
  console.table(report.map(r => ({
    Restaurant: `@${r.restaurant}`,
    Followers: r.followers.toLocaleString(),
    'Posts/Week': r.postsThisWeek,
    'Avg Eng': r.avgEngPerPost.toLocaleString()
  })));
}

Restaurant Social Media Intelligence: Track Competitors & Food Trends

Monitor Competitor Restaurants

Track Food Trends on TikTok

Why This Matters for Restaurants

Find Local Food Influencers

Food Influencer Tier Guide

Analyze What Content Works for Restaurants

Restaurant Content That Typically Performs Best

Monitor Reviews and Mentions

Weekly Restaurant Competitive Report

Get Started

Found this helpful?

Ready to Try SociaVault?

Restaurant Social Media Intelligence: Track Competitors & Food Trends

Restaurant Social Media Intelligence: Track Competitors & Food Trends

Monitor Competitor Restaurants

Track Food Trends on TikTok

Why This Matters for Restaurants

Find Local Food Influencers

Food Influencer Tier Guide

Analyze What Content Works for Restaurants

Restaurant Content That Typically Performs Best

Monitor Reviews and Mentions

Weekly Restaurant Competitive Report

Get Started

Related Reading

Found this helpful?

Ready to Try SociaVault?