Building the Infrastructure Behind TikTok Shop — Link Previews, Metadata, and Monetization
Introduction
TikTok Shop integrates commerce directly into a high-velocity content platform. Behind the scenes, it relies on link previews, metadata scraping, smart routing, and affiliate tracking to convert views into transactions.
In this article, we'll reverse-engineer the core technical components needed to build a TikTok Shop-style experience for any content-to-commerce platform.
What You’ll Learn
How TikTok generates link previews for products
How metadata drives in-app routing and previews
How affiliate tracking and monetization layers are structured
How to build this infrastructure using Node.js, Postgres, and n8n
Part 1: System Overview
Key components:
Content Post → Smart Product Link → Metadata Scraper → Preview Generator → Routing Layer → Checkout Engine → Analytics Tracker
Each click or view needs to:
Resolve preview metadata
Track user journey
Maintain session integrity from content → cart
Step-by-Step: Build the Core Infrastructure
Step 1: Create Product URLs With Metadata
Each product should have a canonical URL that embeds open graph tags:
<meta property="og:title" content="Glow Serum by Skinkraft" />
<meta property="og:image" content="https://cdn.example.com/product-123.jpg" />
<meta property="og:description" content="Hydrating glow serum for dry skin. 15% Vitamin C." />
<meta property="product:price" content="19.99" />
This ensures the preview renders when pasted into TikTok, WhatsApp, or iMessage.
Step 2: Build a Link Preview Scraper
Use Node.js with
cheerio
orplaywright
Extract Open Graph and Twitter card metadata
const axios = require('axios');
const cheerio = require('cheerio');
async function getMetadata(url) {
const { data } = await axios.get(url);
const $ = cheerio.load(data);
return {
title: $('meta[property="og:title"]').attr('content'),
description: $('meta[property="og:description"]').attr('content'),
image: $('meta[property="og:image"]').attr('content')
};
}
Step 3: Store Link Metadata in a Database
Use Postgres or Supabase:
CREATE TABLE link_previews (
id SERIAL PRIMARY KEY,
url TEXT,
title TEXT,
image TEXT,
description TEXT,
price NUMERIC,
affiliate_id TEXT,
created_at TIMESTAMP DEFAULT NOW()
);
Store affiliate codes and campaign metadata for attribution.
Step 4: Generate Short Links With Embedded Metadata
Use a shortlink generator (e.g., yourdomain.com/p/abc123
) that:
Looks up the metadata record
Redirects to final product page with affiliate parameters
Optional logic:
Redirect based on region or language
Redirect to TikTok in-app browser vs. external checkout
Step 5: Embed Smart Routing and Attribution
Use UTM parameters and cookies for session persistence:
utm_source=tiktok&utm_medium=video&utm_campaign=glow-serum
Set a session cookie or local storage object with affiliate_id
, product_id
, and source
.
Step 6: Add Checkout and Revenue Tracking
Connect checkout engine (Shopify, Stripe Checkout, or custom) to include:
Product ID
Affiliate code
Channel (TikTok, Instagram)
Log transactions to a separate table:
CREATE TABLE sales (
id SERIAL PRIMARY KEY,
product_id TEXT,
affiliate_id TEXT,
channel TEXT,
amount NUMERIC,
created_at TIMESTAMP DEFAULT NOW()
);
Step 7: Real-Time Analytics Dashboard
Use Supabase, Metabase, or Retool to monitor:
Most viewed product previews
Highest converting influencers
Click-to-purchase conversion rates
Revenue by channel
Bonus: In-App Preview Cards
Render inline product cards based on metadata response
Format using React or Web Components
Cache common metadata calls using Redis
Conclusion
TikTok Shop runs on metadata. With the right scraping, routing, and attribution infrastructure, you can replicate its seamless product preview and purchase experience.
Smart links, open graph tags, affiliate attribution, and checkout session stitching form the foundation of any content-commerce loop.