No wait, no upfront costs: How Zyte transformed its data delivery business with AI
Zyte has just launched a service that reshapes how businesses source web data feeds. With zero setup fees and a scalable, on-demand model, companies can now add data sources from any website without traditional wait times or high upfront costs.
This unique service is a game-changer for businesses that rely on web data to drive growth. It allows them to scale their data sources quickly without hefty upfront investments.
Traditional data sourcing is leaving companies behind the competition
When companies need specific data from particular sources, they often commission custom-coded feeds, which come with two primary obstacles: high upfront costs and delayed deployment. Each new website adds an expensive setup fee, creating a financial barrier that slows progress and limits growth potential.
This setup leads to:
Speed limitations that prevent timely market insights and hinder data-driven decision-making.
Cost barriers, which reduce the ability to scale. Companies are forced to limit the number of sites they can draw from, compromising the breadth of their insights.
Faced with these challenges, many businesses struggle to achieve full-spectrum visibility from the web data they need. The question remains: How can companies source data from more sites at scale without escalating their costs?
Current solutions are still limited
Companies currently have three main approaches to web data collection, each with its strengths and drawbacks:
Pre-scraped data vendors provide quick, cost-effective access to data, eliminating the need for setup. However, these vendors generally lack customization and focus on popular sites with fixed data points, making it challenging to gather niche data.
Custom feed services deliver fresh, on-demand data with quality assurance, allowing companies to extract data from any site or data point. While these services offer flexibility, they require significant setup time, incur upfront costs, and add a per-site fee, making scaling economically challenging.
In-house scraping solutions give companies full control and provide customization options similar to custom feed services. However, they involve high maintenance costs. Managing anti-ban measures, compliance, and specialized labor increases expenses and operational complexity, limiting speed and scalability.
The ideal solution would enable businesses to quickly and affordably acquire high-quality, customized data feeds from any site without high setup fees or operational overhead.
Zyte’s new AI-powered solution brings the ideal into reach.
Zyte’s new AI-driven offering combines the best features of traditional methods while avoiding their pitfalls. Zyte’s patented AI technology is designed to scale, allowing companies to add websites to their data feeds within hours with no setup fees for standard formats.
Here’s what makes it different: Zyte’s engineers use AI to transform web pages into data feeds. This AI-driven data transformation process begins with AI-based automation, followed by optional customization and quality assurance from Zyte’s in-house team.
Zyte’s machine learning models are optimized for efficiency. They handle common data types like product and article pages, while a human-in-the-loop QA layer ensures precision and quality for each site.
Furthermore, Zyte’s proprietary AI system is benchmarked to perform with better-than-human accuracy, reducing costs and boosting speed.
By leveraging this proprietary AI technology, Zyte removes many of the barriers companies face when scaling their data collection, making data from hundreds of websites accessible and cost-effective in ways that were previously out of reach.
A redefined data solution with zero setup fees
The decision to offer Zyte’s data service with zero setup fees for standard data types underscores Zyte’s commitment to removing economic barriers to web data. Instead of requiring heavy initial investments, Zyte enables businesses to access more data with less risk of investing too much money in a data feed that may not be profitable, enabling faster scaling and broader insights.
This impact is already evident: Companies are expanding from monitoring a few websites to hundreds, using Zyte’s scalable, low-cost feeds. With instant access to high-quality data, e-commerce, real estate, news, and AI businesses are rapidly extending their data capabilities.
Start expanding your data feeds with Zyte
Interested in how Zyte’s new data service can fuel your growth? Explore our latest AI-driven solutions and scale your web data collection quickly.
FAQ
What is Zyte’s new service, and how does it benefit businesses?
Zyte’s new service reshapes how businesses access web data feeds by providing a scalable, on-demand model with zero setup fees for standard data types. Companies can now source data from any website quickly and affordably, without high upfront costs or long wait times, enabling them to expand their data sources rapidly.
Why is traditional data sourcing limiting for companies?
Traditional methods often involve high setup fees and extended deployment times. These costs and delays limit the number of sites companies can draw data from, restricting their ability to gain timely insights and scale their data initiatives effectively.
How does Zyte’s AI-powered extraction differ from other data sourcing methods?
Zyte’s AI-driven approach combines automation with engineering oversight to turn web pages into data feeds without setup fees. This model bypasses the economic and time barriers of traditional solutions, allowing businesses to add new data sources within hours, not weeks.
How does Zyte ensure the quality and accuracy of its data feeds?
Zyte combines AI-based automation with human-in-the-loop quality assurance. Their machine learning models handle common data types, and Zyte’s QA layer ensures data precision and reliability, benchmarking the system for better-than-human accuracy.
How does Zyte’s service help businesses gain a competitive edge?
By reducing setup time and costs, Zyte’s service allows businesses to source data more quickly and from a broader range of sites. This enables faster insights, more data-driven decisions, and the flexibility to pivot or scale as needed, ultimately giving them a market advantage.