Redmart & Fairprice: Quick Commerce Price Intelligence

By Author: iweb Data Scraping
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Quick Commerce Price Intelligence from RedMart and FairPrice
This case study showcases how iWeb Data Scraping empowered a global FMCG brand in Singapore to regain its competitive edge in the Q-commerce space by monitoring prices on RedMart and FairPrice. Through automated grocery price intelligence—scraping product, promo, and availability data daily—the brand gained real-time visibility into competitor moves, flash sales, and SKU-level trends. By tracking prices, stock, and promotions across both platforms, iWeb enabled the brand to respond faster, optimize pricing strategies, and regain market share—all while eliminating manual tracking and unlocking SKU-level pricing intelligence.

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Business Objective
A global FMCG brand operating in Singapore was steadily losing market share on Q-commerce platforms due to uncompetitive pricing across SKUs, lack of real-time visibility into competitor promotions, and a delayed response to time-sensitive RedMart flash sales. Additionally, the brand relied on manual methods to monitor FairPrice listings, resulting in inefficiencies and missed opportunities. ...
... To address these challenges, the brand partnered with iWeb Data Scraping to automate grocery price tracking.

By leveraging RedMart price scraping in Singapore and FairPrice product price monitoring, the company gained access to real-time grocery pricing data in Singapore. This comprehensive Quick Commerce & FMCG Data Extraction Services of RedMart and FairPrice enabled smarter, faster decisions based on accurate, timely data. With iWeb's Quick commerce price intelligence in Singapore, the brand regained pricing competitiveness and responded swiftly to dynamic market shifts.

Platforms Monitored
RedMart (via Lazada)

URL Patterns: lazada.sg/redmart
Scraped Data: Product title, size, image, price, promo labels, availability
FairPrice Online

URL: fairprice.com.sg
Scraped Data: Product price, discount tag, multibuy offers, stock status, reviews
Platforms-Monitored

iWeb Scraping Solution
The data scraping system was designed to:

Run daily scrapes (with option for hourly tracking during sale days)
Normalize SKUs across both platforms
Track multiple variants (pack sizes, flavors, etc.)
Deliver data via API + weekly CSV exports
Integrate with the client’s Power BI dashboard
Sample Data Snapshot
Date Product Platform Price Discount Availability Promo Type
2025-07-08 Milo 3-in-1 (18s) RedMart SGD 6.90 SGD 1.00 In Stock Flash Deal
2025-07-08 Milo 3-in-1 (18s) FairPrice SGD 7.70 SGD 0.50 In Stock Member Price
2025-07-08 Dettol Handwash 500ml RedMart SGD 4.20 None In Stock -
2025-07-08 Dettol Handwash 500ml FairPrice SGD 3.95 SGD 0.25 Out of Stock -
Key Price Trends Identified
FairPrice had more frequent discounts on household items
RedMart offered flash discounts for shorter windows (4–6 hours)
FairPrice showed price consistency, but higher base price
Price swings of up to 15% weekly observed during festival periods

Regional SKU Pricing Differences
While both platforms are national, product availability and discounting varied:

Product Location RedMart Price FairPrice Price
Sunsilk Shampoo 650ml Orchard SGD 8.50 SGD 9.10
Sunsilk Shampoo 650ml Jurong SGD 9.20 SGD 8.80
Ayam Brand Baked Beans Bishan SGD 2.45 SGD 2.40

Business Impact for the Client
Within 30 days of deploying iWeb’s solution:

Detected pricing gaps and adjusted SKUs for 10% lift in conversions
Matched RedMart’s flash sales for top 15 SKUs, maintaining price parity
Set up auto alerts for weekend-only discounts
Reduced manual tracking effort by 95%
Unlocked pricing intelligence for quarterly planning
Challenges Solved
Previous Problem Post-Integration Impact
Manual price audits weekly Daily automated price sync
Missed RedMart flash sales Instant alerts with tracking dashboard
No SKU-level promo history Full weekly & monthly price logs
Fragmented FairPrice product data Unified taxonomy and SKU matching
Technical Architecture
Scraping: Python + Playwright + Mobile View Emulation

Storage: AWS S3 + PostgreSQL

Delivery: REST API + Email CSV exports

Visualization: Power BI + Looker

Technical-Architecture
Ethical-&-Compliant-Scraping
Ethical & Compliant Scraping
Data scraped only from public, non-authenticated pages
Frequency throttled to avoid detection or rate-limiting
No login, checkout, or PII data accessed
Client-specific disclaimer added for internal use

Conclusion
As quick commerce (Q-commerce) gains momentum in Singapore, FMCG brands must adopt a data-driven approach to remain competitive. Leveraging Singapore grocery a price tracking APIs enables real-time insights into market fluctuations. With tools like iWeb Data Scraping for FMCG brands, companies can effortlessly monitor competitor activity and develop a robust Q-commerce competitive pricing strategy . Accurate and timely data allows businesses to execute precise price matching, especially on key platforms like RedMart and FairPrice, where RedMart FairPrice grocery comparison is crucial for gaining consumer attention. Through comprehensive online grocery analytics in Singapore, brands can optimize pricing without compromising profitability—turning data into a strategic edge.

Source>> https://www.iwebdatascraping.com/qcommerce-price-intelligence-redmart-fairprice.php

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