KVETOiQ, a web scraping and data extraction company, has announced an expansion of its managed services tailored for small businesses, mid-sized companies, and large enterprises across the United States and international markets. The move aims to provide organizations with a practical alternative to building internal scraping operations, offering a structured, sample-first delivery process that aligns with specific business needs.
According to Pradip Valand, CEO of KVETOiQ, the company's approach is designed to accommodate varying requirements. "A growing company may need a focused dataset to validate an opportunity, while a large enterprise may require millions of records from multiple sources," he said. "We design the collection process around the actual business requirement instead of forcing every client into the same model."
The expanded services cover a spectrum from focused projects for startups, such as competitor research and lead data collection, to complex enterprise programs involving high-volume extraction, custom schemas, and API delivery. Mid-sized companies can benefit from scheduled collection and structured delivery for pricing analysis, catalog monitoring, and market research. This flexible structure allows clients to start with immediate data needs and expand as requirements evolve.
KVETOiQ emphasizes a requirements-led approach, working with clients to define the business purpose, target sources, exact fields, collection frequency, delivery format, and validation rules before development begins. Clients can review a sample dataset before full production, ensuring the data aligns with their intended use. The company's operating principle is "sample first, validate continuously and maintain proactively."
The service supports data-intensive industries including ecommerce, retail, grocery, travel, hospitality, finance, legal, healthcare, and pharmaceuticals. For instance, ecommerce businesses can leverage price monitoring, product matching, and review analysis, while healthcare organizations can collect medicine listings and clinical research records, with careful review to avoid protected personal information.
KVETOiQ's capabilities include web scraping, enterprise web crawling, custom extraction, API development, AI-powered extraction, live and scheduled crawling, mobile app scraping, and AI training data collection. Data can be delivered in CSV, Excel, JSON, or via custom APIs, with options for one-time, scheduled, or near real-time delivery. Supported platforms include Amazon, Walmart, Shopify, TikTok Shop, Flipkart, eBay, Etsy, Best Buy, Wayfair, Alibaba, AliExpress, Wish, and Newegg.
Reliability is a key focus, as websites frequently change structures and access controls. KVETOiQ applies project-specific checks such as required-field validation, duplicate detection, and format normalization. For recurring projects, monitoring helps identify structural changes and maintain data continuity, ensuring clients receive usable data without managing technical disruptions.
Since its founding in August 2021, KVETOiQ reports serving over 200 clients across 45 markets, processing over 250 million records, and mapping data from more than 120 platforms. Headquartered in Ahmedabad, India, the company focuses on U.S. organizations requiring structured web data for ecommerce, competitive monitoring, market research, and AI development. Clients can start with a requirements discussion and sample dataset before full production. Learn more about KVETOiQ's managed web scraping and data extraction services.
