KVETOiQ, a web scraping and data extraction company headquartered in Ahmedabad, India, has announced the expansion of its managed web scraping services for businesses across the United States and international markets. The expanded service model 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 company supports a range of projects, from focused datasets for startups to complex enterprise programs involving multiple sources, high data volumes, and recurring delivery. Each project is tailored to the client's specific requirements, including sources, fields, formats, update frequency, and business objectives. The process emphasizes a sample-first approach, allowing clients to review a sample dataset before full production begins.
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."
The expansion addresses a common challenge for businesses: deciding whether to use basic scraping tools, which can become unreliable as websites change, or building an internal operation that requires significant technical resources. KVETOiQ offers a managed alternative that can scale with the client's needs. For small businesses and startups, the company supports projects such as competitor research, lead data collection, and product monitoring. Mid-sized companies can benefit from scheduled collection and structured delivery for pricing analysis, catalog monitoring, and market research. Large enterprises can leverage high-volume extraction, custom schemas, and continuous source monitoring to reduce the burden on internal engineering teams.
KVETOiQ's approach is built around business outcomes, with a focus on requirements-led planning. Before development, the company works with clients to establish the business purpose of the data, the websites to be covered, exact fields to extract, collection frequency, delivery format, validation rules, and processes for managing future source changes. This helps prevent clients from receiving data that does not match their intended use.
The company serves data-intensive industries such as ecommerce, retail, grocery, travel, hospitality, finance, legal, healthcare, and more. For ecommerce, structured web data can support price monitoring, product matching, and review analysis. In travel, monitoring accommodation listings and availability is crucial. Financial organizations can collect public records and market information. Healthcare businesses can use carefully scoped public-source extraction for medicine listings and provider directories, while ensuring compliance with privacy regulations.
KVETOiQ's capabilities include web scraping, enterprise web crawling, custom data extraction, API development, AI-powered extraction, and mobile app scraping. Data can be delivered in CSV, Excel, or JSON formats, or through a custom API, with options for one-time, scheduled, or near real-time delivery. The company supports data extraction from platforms like Amazon, Walmart, Shopify, TikTok Shop, Flipkart, eBay, Etsy, Best Buy, Wayfair, Alibaba, AliExpress, Wish, and Newegg.
Reliability is a key focus. Websites frequently change their structure, which can disrupt data collection. KVETOiQ applies validation checks such as required-field validation, duplicate detection, and format normalization. For recurring projects, monitoring helps identify structural changes, and ongoing maintenance adjusts the crawler to maintain continuity.
Since its founding in August 2021, KVETOiQ reports serving more than 200 clients, covering over 45 markets, processing over 250 million records, and mapping data from more than 120 platforms. The company's expansion is positioned to help U.S. businesses gain structured access to web data for ecommerce, competitive monitoring, market research, and AI development. Businesses can start with a requirements discussion and sample dataset before moving to full production. For more information, visit KVETOiQ's website.
