To make the highest profit, retailers can change the price of their products based on current market demands. To evaluate the demand, they require fresh and accurate data – here’s where web scraping comes in. Oxylabs offers reliable data gathering solutions that will help you:
Gather fresh data that accurately reflects market situations
Focus on data analysis while we take care of scraper maintenance
Bypass geographical restrictions and get pricing data from any country
Get Oxylabs’ web intelligence collection solutions and see how large-scale data can help build a profitable pricing model.
To implement the dynamic pricing model, companies need to track several internal and external factors simultaneously and in real-time. The factors include stock, shipping costs, competitor activity, consumer behavior, and more.
Competitor, consumer, and stock behavior can rapidly change, making tracking difficult.
How can we help?
With Oxylabs solutions, you can track several factors in real-time and stay on top of the competition.
Having insight into the market's demands allows companies to set dynamic prices and maximize their profit. For example, businesses can detect when interest in a product (or service) surges and, strategically, increase the price at the time.
Creating an effective pricing strategy without keeping track of competitors' prices is challenging.
How can we help?
Our solutions allow you to always maintain a competitive edge while detecting growing interest in products.
A dynamic pricing strategy allows companies to manage product supply more effectively. For example, they can lower the prices for surplus products to sell them out quicker. In addition, companies can use historical data to analyze past trends and stock up products before peaks.
Appropriately pricing surplus products may be difficult without a dedicated tool.
How can we help?
Use our solution to monitor your products to find what and when they should have their prices adjusted accordingly.
E-Commerce Scraper API
Specifically designed to scrape online marketplaces, E-Commerce Scraper API delivers pricing, product information, and other data.
Flexible and customizable
Several delivery options
Build your own web scraping infrastructure and use Residential Proxies for human-like scraping.
Unlimited concurrent sessions
Single back-connect entry
State and city-level targeting
More benefits of E-Commerce Scraper API
Enjoy the easy process with our detailed documentation
Fresh and accurate data
Receive data in seconds with our real-time delivery method
100% success rate
Pay for successful results only
More benefits of Residential Proxies
Get assistance on any web scraping-related matter 24/7
Large Residential IP pool
Make the most of our global 100M+ Residential IP pool
Utilize our flexible and adjustable session control feature
We offers several data gathering solutions for dynamic pricing – learn more to choose the ideal option for your business.
With the services provided by Oxylabs, we managed to find a way to monitor certain sites that we could not monitor before, and, as a result, reach out to more customers and provide them with a better user experience.
Head of Customer Support @ Price2Spy
Oxylabs isn't solely providing web scraping solutions; our goal is to become a dependable business partner. We're proud of the trust our customers place in us for their data collection requirements, and we gladly highlight their positive experiences online.
Receive personalized support from our team of experienced account managers.
Our machine learning-powered proxy management guarantees the best success rates coupled with the shortest response times possible.
Contact our support team through live chat or email, and they'll promptly respond to your queries.
Overcome geographic limitations and access data from various locations seamlessly.
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Guide to Dynamic Pricing and Data Acquisition
Read all about dynamic pricing for e-commerce companies
How to Build Walmart Price Tracker With Python
See how how to track the prices of Walmart products using Python
E-Commerce Scraper API Quick Start Guide
Find out all you need to know about E-Commerce Scraper API
Dynamic pricing is a pricing strategy that allows businesses to set different goods or service prices based on market demands. In a broader perspective, dynamic pricing is part of pricing intelligence, a
process of acquiring and processing data in order to optimize their pricing structure and drive profit growth.
There are several types of dynamic pricing strategies based on different factors:
Group-based – offering discounts for specific groups – e.g., senior citizens;
Time-based – following demand fluctuations throughout the day and adjusting price accordingly;
Cost-plus pricing – selling a product for more than it costs to make it;
Competitor based – analyzing your competitors’ pricing and adjusting your own accordingly;
Value-based pricing– selling products for a price the company feels their customers are willing to pay;
Price skimming – charging the maximum price that customers can afford, then gradually decreasing it.
Bundle pricing strategy – grouping several products and selling them together instead of charging for them separately.
Penetration pricing – a pricing method where a company offers lower product prices than their competitors – usually, upon entering the market – and raising it gradually.
Dynamic pricing engine is a tool that uses data that’s given to it and changes pricing accordingly. These tools are used in the e-commerce sector to reprice products based on market demands – e.g., setting higher prices upon increased demand to make the biggest profit.
In most cases, dynamic pricing raises no legal problems as it’s simply a strategy where prices for goods or services fluctuate based on various factors like demand, time of day, and many others. However, certain forms of dynamic pricing might create ethical concerns or legal issues, especially if they involve price discrimination or unfair practices.
Price scraping has numerous benefits; however, the key ones include competitive analysis, optimized pricing, market intelligence, and strategic planning.
Airlines adjust their prices based on demand, time of booking, seat availability, and seasons or various events.
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