E-COMMERCE
Shopee data scraping service.
Product catalog extraction, price monitoring, and competitor tracking across Shopee's Southeast Asian markets. Singapore, Malaysia, Thailand, Philippines, Vietnam, Indonesia.
The problem.
WHY THIS IS HARDER THAN IT LOOKS
E-commerce brands and marketplace sellers operating on Shopee face a data challenge that does not exist on Western platforms. Shopee operates as separate country stores (SG, MY, TH, PH, VN, ID), each with its own catalog, pricing, and seller ecosystem. Tracking a competitor's pricing across all six markets means navigating six different storefronts with different currencies, categories, and listing formats.
Shopee does not offer a commercial data API for third-party analytics. The seller tools inside Shopee's dashboard show your own metrics but not your competitors'. Market research firms and brand teams that need cross-market competitive data have to collect it manually or build their own infrastructure.
The multi-currency dimension compounds the problem significantly. A product priced in Vietnamese Dong looks completely different from the same product priced in Singapore Dollars, and raw price comparisons across markets are meaningless without normalization. The pipeline I built for this source normalizes all six currencies (SGD, MYR, THB, PHP, VND, IDR) to a common base using daily exchange rates, appending both the original local price and the normalized comparison price. This makes cross-market pricing analysis actually usable, which raw extractions without normalization cannot provide. For the electronics brand I work with, the normalized price view revealed that their Philippine store was consistently 12% cheaper than Singapore after currency adjustment, a gap that was invisible before normalization was in place. Catching that discrepancy let the brand adjust their SEA pricing strategy for the first time with actual data behind it.
For a consumer electronics brand I work with, the pipeline monitors 2,400 SKUs across 5 Shopee country stores daily. It flags price drops, stock changes, new competitor listings, and promotional activity. Before the pipeline, the brand's market team spent 20+ hours per week on manual price checks across markets and still missed changes that happened between checks. The pipeline eliminated that manual work and protected $34,000 in margin in Q1 alone by catching competitive price drops within hours instead of days.
This service builds that same pipeline for your product catalog and your competitive set, across whichever Shopee markets you operate in.
Is this right for you?
GOOD FIT IF ANY OF THESE SOUND LIKE YOU
You sell on Shopee across multiple Southeast Asian markets and need cross-market pricing intelligence
You are a brand monitoring unauthorized resellers or tracking competitor pricing on Shopee
You need catalog data from Shopee for market research and there is no API to pull from
Your team currently checks Shopee prices manually and it takes more than a few hours per week
What you receive.
EXACT FIELDS, DELIVERED IN YOUR FORMAT
Sample record.
{
"product_id":"12345678901",
"product_name":"Samsung Galaxy Buds FE",
"current_price": 89.90,
"currency":"SGD",
"original_price": 129.00,
"discount_percent": 30,
"units_sold":"4.2K sold",
"rating": 4.8,
"review_count": 1247,
"seller_name":"Samsung Official Store",
"stock_status":"in_stock",
"country_store":"SG",
"extracted_at":"2026-04-14T06:00:00Z"
}Straightforward pricing.
SCALE DETERMINES PRICE · NO HIDDEN FEES
Catalog snapshot
One-time extraction of a product catalog or competitive set. Delivered in 3 to 5 days.
- Up to 5,000 products
- Any Shopee country store
- CSV, JSON, or Google Sheet
- Price + seller + stock data
Price monitoring
Daily or twice-daily monitoring with alerting.
- Up to 10,000 SKUs tracked
- Multi-market coverage
- Slack/email price alerts
- Google Sheet dashboard
Enterprise intelligence
Full competitive intelligence across all SEA markets.
- Unlimited SKUs
- Seller ecosystem tracking
- Promotional calendar detection
- Scoping call required
Frequently asked questions.
EVERYTHING YOU NEED TO KNOW
Singapore, Malaysia, Thailand, Philippines, Vietnam, and Indonesia. Each country store is a separate extraction target with its own catalog, pricing, and currency. The pipeline handles the cross-market normalization so you get consistent data regardless of which stores you monitor.
For price monitoring, twice daily is the most common cadence. This catches intra-day price changes and promotional activity. For catalog snapshots, the data is as fresh as the extraction date. For one running client the pipeline monitors 2,400 SKUs daily across 5 markets.
Yes. Seller-level tracking covers their full catalog, pricing patterns, review velocity, and new product launches. This is useful for brands monitoring unauthorized resellers or marketplace sellers tracking competing shops.
Promotional pricing, flash sale prices, and voucher-adjusted prices are all captured separately from the base price. The pipeline flags when a product enters a promotional state and what the effective price is after discounts. For price monitoring clients, promotional events trigger immediate alerts.
Yes. The pipeline can normalize prices to USD, SGD, or any base currency you prefer using daily exchange rates. This makes cross-market comparisons meaningful. Both the local currency price and the normalized price are included in the output.
A one-time catalog snapshot starts at $199 for up to 5,000 products across any Shopee market. Price monitoring starts at $499 per month for up to 10,000 SKUs with daily refresh and alerting. Enterprise intelligence scopes per engagement.
Catalog snapshots deliver in 3 to 5 days. Price monitoring pipelines take about 1 to 2 weeks to set up, including the initial catalog extraction, alert configuration, and dashboard setup. After setup the pipeline runs automatically on schedule.
Yes. Shopee's flash sales, daily voucher drops, and platform-wide campaigns (like Shopee 9.9 or 11.11) all change the effective price a buyer sees. The pipeline captures promotional pricing, countdown timers, and campaign labels separately from the base price, so you can see exactly when a competitor enters or exits a promotional window and what the effective discount was. For brands planning around Shopee's major campaign calendar, this data feeds directly into pricing strategy for the next promotion.