ScraperAPI has expanded its web data offering after acquiring Traject Data, bringing web scraping infrastructure and managed data products under one business.
The expansion targets organisations that need structured public web data for AI systems, automated decision-making and market analysis. ScraperAPI has historically focused on tools for developers and technical teams to collect public web data at scale, processing billions of requests each month.
Under the broader offering, customers can continue using scraping tools to build their own workflows or use managed data services that deliver ready-to-use information. The combined business is intended to reduce the need for customers to stitch together multiple providers or manage data quality issues themselves.
The move comes as businesses expand their use of AI across functions and seek current external information to support those systems. ScraperAPI cited IBM research showing that data preparation can account for 50% to 70% of a data project's time and effort.
AI monitoring
As part of the expansion, ScraperAPI has added AI search monitoring across ChatGPT, Perplexity, Gemini and Google AI Overviews. The tools are designed to help organisations track how their brands, products and competitors appear in AI-generated answers.
The addition reflects a broader shift in search and discovery, as companies look beyond traditional search engine rankings to visibility in AI-generated responses. The monitoring offering sits alongside integrations that allow AI applications and agents to access live public web data.
ScraperAPI says it has more than 40,000 active brands and developers so far this year and serves customers in more than 150 countries. The business is part of saas.group.
Customer impact
ScraperAPI cited customer Sigil as an example of the commercial impact of data reliability. According to the company, Sigil recovered USD $4 million in Amazon revenue and saved the equivalent of more than two engineers' time after improving the reliability of the web data used in its pricing intelligence work.
The acquisition also expands ScraperAPI's reach beyond technical users. Traject Data has focused on helping customers turn public web data into finished datasets and insights, rather than requiring them to manage proxies, scraping tools or collection infrastructure themselves.
Traject Data's existing products and services will continue to support customers during the integration. Over time, ScraperAPI plans to bring the platforms together under a single access point.
Simon Ernst-Sunne, Chief Executive Officer of ScraperAPI, outlined the company's view of how AI is changing demand for external data.
"AI is fundamentally changing the role web data plays inside businesses. It's no longer something used primarily by developers for specific projects - it's increasingly becoming an essential input into AI systems, automated decisions and day-to-day operations. But it has also raised the cost of using AI and receiving inaccurate data. As more organisations rely on AI to understand markets and make decisions, the quality of the data behind those systems becomes critical. That creates a much bigger need for reliable public web data, and bringing ScraperAPI and Traject Data together puts us in a position to meet it," said Ernst-Sunne.
Heather Wold, Group Product Manager at ScraperAPI, said the two businesses combine different parts of the web data workflow.
"We've spent years at Traject Data helping businesses turn public web data into something they can actually use. ScraperAPI has built real depth in web data collection, and pairing that with the scale we already operate at means we can serve more sources and more complex use cases than either of us could alone. As AI raises the bar for how much clean web data companies need, that combination matters," said Wold.