Ecommerce data for competitive intelligence

Ecommerce proxies are primarily used to scrape price data, but they are versatile and can also collect various publicly available information in bulk. They enable you to analyze customer reviews, study competitor product descriptions, and gather marketing data to help you compete effectively with other online sellers.

Proxies are essential for ecommerce scraping because major online stores typically don't want to share their data openly. If they detect a scraping bot, they'll block its IP address. Fortunately, scrapers can use multiple proxies. So, if one IP is blocked, the scraper quickly switches to another, ensuring continuous access to the data you need. In cases where online stores employ advanced anti-bot systems, you can also utilize unblocking solutions to overcome their defenses and access the desired data.

Generally yes, as long as you follow a few simple rules:

• Only access public data, not private or restricted information. Stick to product pages, search results, etc.

• Don't overload sites with an excessive number of automated requests. Use throttling, delays, and proxies to scrape responsibly.

• Respect robots.txt rules and any opt-out requests from sites.

• Don't share scraped data with third parties or republish it without permission. Personal use is safest.

• Store and protect any scraped data securely.

As long as you scrape ethically, don't disrupt sites, and use the data appropriately, web scraping ecommerce stores is legal in most countries.

Proxies can help avoid this by

• Masking scraper IP addresses to prevent blocks. Sites see the proxy IP instead.

• Rotating through many IPs to distribute requests.

• Targeting locations to access geo-restricted content and pricing.

• Scaling up requests across many proxy IPs for larger data collection.

So proxies act as an extra layer to keep scrapers undetected. Scrapers get the data, proxies keep them safe. Using both together is ideal for robust scraping at scale.

There are many business use cases for collected ecommerce data:

• Competitor price and product research for market analysis.

• Tracking price history and fluctuations to optimize pricing.

• Monitoring high-demand items and inventory levels.

• Analyzing product reviews and sentiment for marketing.

• Researching SEO keywords and search ranking performance.

• Gathering retailer product catalogs for lead generation.

Ecommerce data powers everything from competitive intelligence to price optimization and inventory planning. The applications are nearly endless.

Our proxies are compatible with all major scraping tools and languages like Python, Java, Node.js, etc. We provide code snippets and documentation to help you get up and running quickly. If you have a complex infrastructure, our technical team can assist with custom integrations. If you need assistance with the setup, please don't hesitate to contact us.