KVETOiQ, a web scraping and data extraction company headquartered in Ahmedabad, India, has expanded its managed services to better serve U.S. businesses, offering scalable solutions for small startups, mid-sized companies, and large enterprises. The announcement highlights a shift from one-off scraping scripts to a managed, outcome-oriented approach that prioritizes business requirements over technical execution.
The expanded service model addresses a common dilemma: basic scraping tools often fail when websites change, while building an in-house operation demands significant developer time, infrastructure, and maintenance. KVETOiQ offers a managed alternative that can grow with a client's needs, from focused projects like competitor research and lead generation to complex enterprise programs involving millions of records from multiple sources.
According to Pradip Valand, CEO of KVETOiQ, "Web scraping requirements are different for every business. 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." This flexibility is central to the company's approach, which starts with defining the business purpose, target sources, exact fields, update frequency, and delivery format before any code is written.
A key feature of KVETOiQ's service is the sample-first process. Clients review a sample dataset before full production begins, ensuring the extracted data matches their intended use. This reduces the risk of delivering large volumes of irrelevant information. The company also applies validation rules, such as required-field checks, duplicate detection, and unexpected-value alerts, to maintain data quality.
For recurring projects, KVETOiQ provides continuous monitoring to detect structural changes in websites, which can otherwise break scrapers. "A scraper that works once is not necessarily a reliable data pipeline," Valand noted. "Websites regularly change page structures, loading methods, pagination, and access controls. Our monitoring and maintenance help protect data continuity."
The company supports data-intensive industries including ecommerce, retail, grocery, travel, hospitality, finance, legal, healthcare, and pharmaceuticals. For example, ecommerce businesses can use price monitoring, product matching, and review analysis, while travel companies can monitor accommodation listings and airfare trends. KVETOiQ also serves real estate, automotive, media, and AI companies with industry-specific schemas.
KVETOiQ's capabilities extend to web scraping APIs, AI-powered extraction, mobile app scraping, and AI training data collection. Data can be delivered in CSV, Excel, JSON, or via a custom API, with one-time, scheduled, or near-real-time options. The company supports platforms such as Amazon, Walmart, Shopify, TikTok Shop, Flipkart, eBay, Etsy, Best Buy, Wayfair, Alibaba, AliExpress, Wish, and Newegg.
Since its founding in August 2021, KVETOiQ reports serving over 200 clients, covering 45 markets, processing more than 250 million records, and mapping data from over 120 platforms. This track record positions the company as a reliable partner for businesses seeking managed access to public web data.
The expansion is particularly targeted at U.S. organizations that need structured data for ecommerce operations, competitive monitoring, market research, and AI development. By offering a sample-first, requirements-led process, KVETOiQ aims to make professional scraping accessible at every stage of business growth.
Learn more about KVETOiQ's managed web scraping and data extraction services.
