Scaling Product Price Monitoring with MrScraper and LunaProxy

When you're monitoring thousands of product listings across multiple e-commerce websites, speed and accuracy matter — but so does privacy.

That’s exactly why MrScraper partners with LunaProxy to power high-volume price monitoring for clients in the e-commerce and market intelligence space.

The Challenge: Scraping Without Getting Filter related content

Large e-commerce platforms like Amazon, Walmart, and Shopee have advanced anti-bot systems. They can filter IPs, show CAPTCHAs, or serve misleading content when they detect scraping behavior.

Even if you're using a scraper that works well locally, running it at scale without the right proxy infrastructure usually leads to:

• IP address shows network abnormality

• Incomplete data

• Slower performance

That’s where LunaProxy comes in.

The Solution: MrScraper + LunaProxy Integration

MrScraper automates the data collection process with features like headless browsing, dynamic content rendering, and built-in scheduling. But it needs powerful residential IP rotation to avoid detection.

By integrating LunaProxy into its scraping flows, MrScraper gains access to:

• A large pool of rotating residential proxies

• IPs from real devices, reducing the chance of filters

• Location-specific IPs (helpful for local pricing data) 

• Smooth, scalable performance even under heavy loads

This combination lets users scrape product titles, prices, ratings, and availability from multiple marketplaces — reliably and at scale.

Use Case: Competitive Pricing Intelligence for a Retail Brand

One of MrScraper’s clients is a global electronics retailer. They needed daily price updates from 30+ e-commerce websites to adjust their own listings and stay competitive.

Here’s how they use MrScraper and LunaProxy together:

• Targeting Sites: They define target URLs for competitor product listings.

• Scheduling: MrScraper runs daily scraping jobs at off-peak hours. 

• Proxy Rotation: LunaProxy rotates IPs to avoid filters and detect region-based price changes.

• Data Output: Scraped data is cleaned, structured, and sent to a price optimization dashboard. 

Result? The retailer updates pricing faster than their competitors, capturing more sales while staying within profit margins.

Why It Works

The strength of this setup comes from the seamless combination of MrScraper’s scraping automation and LunaProxy’s robust residential IP infrastructure.

For tech teams: It removes the need to manage proxies manually. 

For business users: It delivers reliable data without headaches.

Conlcusion

If your business depends on accurate web data — whether it’s for pricing, content monitoring, or market research — pairing a scraping engine like MrScraper with a proxy network like LunaProxy is a game-changer.

You get clean data, fewer bans, and more manage over your scraping operations.