# How Enervee Uses Web Scraping for Retail Pricing Data to Power Energy-Efficient Shopping ## **About Enervee** Enervee runs an online marketplace platform that helps people buy more energy-efficient appliances and electronics. Guy Champniss, who served as VP of Insight and Outreach at Enervee, described the mission simply: nudge the world to shop efficiently. The company combines data science, behavioral science, and digital marketing to surface the smart choice at the moment of decision. At its heart is the Decision Engine, which analyzes thousands of products to produce the Enervee Score, a 0-to-100 efficiency rating. Utilities, telcos, and retailers run their marketplaces on the platform, which today reaches more than 39 million households across North America and covers 40-plus product categories. ## **Challenge** An energy-efficiency score is only useful next to a price. The Enervee Score persuades a shopper only when it sits beside what the product costs today, at their retailer, and keeping that pricing layer accurate is a large, constant data job: ### **Half a million offers a day:** The Decision Engine processes more than 500,000 product offers daily in the US alone, so shoppers see the most current pricing from the retailers they actually buy from. ### **A moving target:** Prices shift, promotions come and go, products sell out and return, and every retailer presents that information differently. ### **Work outside the core:** Building and maintaining scrapers for a shifting set of retail sites is essential to the product, but it is not the data science and behavioral science that differentiate Enervee. ### **Every hour counts:** Every engineering hour spent babysitting a broken retail scraper is an hour not spent on the Decision Engine itself. Compiling live pricing and availability across a large retailer network, and keeping it accurate enough that a consumer will act on it, was a serious and ongoing job that sat at an awkward distance from Enervee's core engineering. ## **Why PromptCloud** Guy Champniss was clear that the pricing and quality of a good data partner mattered specifically for the projects outside the company's internal engineering focus. The fit came down to four things: ### **Handles the work outside the core:** PromptCloud takes on the data projects that sit outside Enervee's internal engineering schema, exactly the work that competes with core priorities. ### **Quality at competitive pricing:** An excellent quality service at highly competitive pricing, the combination Enervee needed for this kind of collection. ### **Core-team rigor:** The same level of rigor and precision Enervee would expect from its own engineering team. ### **Maintenance absorbed:** When a retailer redesigns its product pages, absorbing that change becomes PromptCloud's problem, not an interruption to Enervee's roadmap. PromptCloud's [managed retail data pipeline](https://www.promptcloud.com/solutions/web-scraping-services/) acquires product and pricing data from a wide set of retailer sites and delivers it as clean, structured data on a set schedule. That lets Enervee treat reliable retail pricing data as something it could simply count on, rather than something it had to constantly defend. ## **Implementation** ### **Where PromptCloud sits in the pipeline** PromptCloud runs the retail data acquisition layer beneath Enervee's in-house Decision Engine: #### **Retailer page collection:** PromptCloud collects prices and availability across a large retailer network, delivered on a set schedule. #### **A structured pricing feed:** That data arrives in a consistent shape the Decision Engine can process the same way every day, so pricing from many retailers is comparable. #### **Layout-change handling:** When a retailer redesigns its product pages, PromptCloud absorbs the change in the background so the pricing feed keeps flowing. ![](https://pwp4.thepatternswp.com/wp-content/uploads/2025/01/quote-black-icon.svg) *PromptCloud provides an excellent quality service at highly competitive pricing for those data projects that sit outside our internal engineering schema. The pricing and quality of service allow our engineers to concentrate on the projects closer to the core of the business, with the security of knowing PromptCloud is servicing these other projects with the same level of rigour and precision we'd expect from our core team.* ##### Guy Champniss ###### VP, Insight & Outreach, Enervee ## **Results** With retail data acquisition handled, Enervee's own engineers could focus on the product that sets the platform apart: ### **Trustworthy pricing beside every score:** Continuous, current pricing and availability across a large retailer network, so the Enervee Score always sits next to a price a shopper can trust. ### **Scale without scraper overhead:** Capacity to process more than half a million product offers a day without dedicating the core engineering team to scraper maintenance. ### **Engineering on the differentiators:** Attention concentrated on the Decision Engine, the Enervee Score, and the behavioral science that make the platform work. ### **Comparable data across retailers:** A consistent data structure feeding the engine, so pricing from many different retailers can be compared on the same terms. ### **Room to grow:** A pipeline that scales across more retailers and regions, supporting a platform that now reaches 39M+ households and 40+ product categories. ## **Get Started** ### **Tired of pricing scrapers that break every time a retailer updates its product pages?** Get clean, structured web data delivered on your cadence from a managed pipeline built around your specific sources and schema. [**Get a free sample dataset**](https://www.promptcloud.com/contact/) • No contracts. • No credit card required. • No scrapers to babysit.