KVETOiQ Expands Managed Web Scraping Services to Support U.S. Businesses

KVETOiQ, a web scraping and data extraction company headquartered in Ahmedabad, India, has announced the expansion of its managed web scraping services for small businesses, mid-sized companies, and large enterprises across the United States and international markets. The company aims to provide organizations with a practical way to collect, structure, and maintain publicly available web data without the need to build an internal scraping operation.

The expanded service model is designed to accommodate a wide range of project scopes, from focused datasets to complex enterprise programs involving multiple sources, high data volumes, and recurring delivery. KVETOiQ emphasizes a requirements-led approach, where each project is planned around the client's specific sources, fields, formats, update frequency, and business objectives. This flexible structure allows businesses to start with the data they need now and scale up as their requirements evolve.

“Web scraping requirements are different for every business,” said Pradip Valand, CEO of KVETOiQ. “A growing company may need a focused dataset to validate an opportunity, while a large enterprise may require millions of records from multiple sources. We design the collection process around the actual business requirement instead of forcing every client into the same model.”

For small businesses and startups, KVETOiQ supports projects such as competitor research, lead data collection, product monitoring, and local market analysis. Mid-sized companies may require scheduled collection and broader source coverage for pricing analysis, catalog monitoring, and market research. Large enterprises can benefit from extensive source mapping, custom schemas, high-volume extraction, API delivery, and continuous source monitoring, helping to reduce the burden on internal engineering and data departments.

KVETOiQ operates on a sample-first principle, where clients can review a sample dataset before full production begins. This ensures the data aligns with their intended use. The company also emphasizes reliability beyond initial delivery, with project-specific checks such as required-field validation, duplicate detection, and data-type consistency. For recurring projects, monitoring helps identify structural changes and extraction results that fall outside the expected schema, allowing for proactive maintenance.

The company serves data-intensive industries including ecommerce, retail, grocery, travel, hospitality, finance, legal, healthcare, and more. It supports data extraction from platforms such as Amazon, Walmart, Shopify stores, TikTok Shop, Flipkart, eBay, Etsy, Best Buy, Wayfair, Alibaba, AliExpress, Wish, and Newegg. Data can be delivered in formats like CSV, Excel, and JSON, or through a custom API, with one-time, scheduled, or near real-time delivery options.

Since its founding in August 2021, KVETOiQ reports serving over 200 clients, covering more than 45 markets, processing over 250 million records, and mapping data from more than 120 platforms. The company's expansion aims to make professional web scraping services accessible to businesses at different stages of growth, providing a managed alternative to building and maintaining internal scraping infrastructure.

For U.S. businesses looking to leverage structured web data for competitive monitoring, market research, or AI development, KVETOiQ offers a comprehensive solution. By combining flexible project scoping with managed technical delivery, the company positions itself as a reliable partner for organizations seeking scalable and dependable access to publicly available web data. Learn more about KVETOiQ's managed web scraping and data extraction services at https://kvetoiq.com/.