TikTok Shop and Live-Stream Product Data for a Social-Commerce Startup: A TikTok Shop Data Scraping Case Study

The challenge

The client builds a dashboard that helps brands and sellers find trending products and understand what sells through social commerce. Two requests shaped the project. A US researcher asked iWeb Data Scraping for "TikTok live streaming product data to research user preferences." A Vietnamese team asked for "TikTok Shop and Shopee data" and later a Shopee dataset. The startup needed both: what sells on TikTok Shop, and how it compares with a classic marketplace.

• Fast-moving trends. A product can go from unknown to sold out in days after a popular video or live stream.
• Content-led discovery. Products are discovered through videos and live streams, not just search, so product data alone misses part of the story.
• Sales indicators, not sales figures. Listings show "sold" counts or ranges, which need careful interpretation.
• Cross-platform comparison. The same product may sell on TikTok Shop and Shopee at different prices and volumes.

What we built

Step 1: Category and market scope

Together with the client, iWeb Data Scraping selected categories with strong social-commerce activity: beauty and personal care, fashion accessories, home and kitchen gadgets, and phone accessories.

Step 2: Product and shop collection

For each category, collectors captured product title, price, original price, discount, displayed sold count, rating, review count, shop name, shop rating, shipping information and product images.

Step 3: Live-stream product signals

For selected public live streams in scope, the products featured during the stream and their displayed prices were recorded with timestamps. No viewer or personal data was collected.

Step 4: Shopee comparison

In Vietnam, matching products on Shopee were identified by title, brand and image similarity, and their prices and sold counts were collected for comparison.

Step 5: Trend scoring

A trend score combined sold-count growth, review growth and live-stream appearances over seven days, highlighting products gaining momentum.

How it's delivered

The record below is illustrative.

{
  "platform": "tiktok_shop",
  "market": "US",
  "product_id": "TTS-1730048812",
  "title": "Portable Mini Blender, USB Rechargeable",
  "category": "Home & Kitchen > Small Appliances",
  "price_usd": 24.99,
  "original_price_usd": 39.99,
  "sold_display": "12.4K sold",
  "sold_estimate": 12400,
  "rating": 4.6,
  "review_count": 2180,
  "shop_name": "Example Home Store",
  "shop_rating": 4.7,
  "live_stream_appearances_7d": 9,
  "trend_score": 87,
  "collected_at": "2026-10-05"
}

How the product team uses the data each week

• Brands check which competing products are rising and adjust their own live-stream line-ups.
• Sellers compare prices with Shopee before setting TikTok Shop promotions.
• Agencies pitch creators with evidence of which product types perform in live streams.
• Product sourcing teams spot gadgets and beauty items gaining momentum early enough to stock them.

The client also added a weekly "category heat map" that shows which sub-categories are growing fastest on TikTok Shop compared with Shopee, helping brands decide where to invest content budgets.

The outcome

Sold counts are indicators. Displayed counts are rounded and cumulative; growth over time is more useful than a single value.

Live-stream signals add context. Products repeatedly featured in live streams often trend a few days later.

Cross-platform matching reveals pricing strategy. Some sellers price lower on TikTok Shop to win traffic.

Get social-commerce product data

iWeb Data Scraping delivers AI-ready TikTok Shop data scraping and cross-platform comparisons with Shopee, Lazada and Amazon. Tell us your markets and categories, and we will send a sample trending-products dataset.