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 expanded service model provides 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 wide range of projects, from focused datasets for specific business needs to complex enterprise programs involving multiple sources, high data volumes, recurring delivery, and ongoing crawler maintenance. Each project is planned around the client's required sources, fields, formats, update frequency, and business objective. 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 company's approach is designed to scale with the client's needs. For small businesses and startups, KVETOiQ can support projects such as competitor research, lead data collection, product monitoring, local market analysis, and initial dataset development. Mid-sized companies may require scheduled collection, broader source coverage, and structured delivery into existing workflows, which KVETOiQ facilitates through recurring data pipelines for pricing analysis, catalog monitoring, customer review analysis, and market research. Large enterprises often need extensive source mapping, custom schemas, high-volume extraction, API delivery, and continuous source monitoring, all of which KVETOiQ manages to reduce the burden on internal engineering and data departments.
KVETOiQ emphasizes a requirements-led approach. Before development begins, the company works to establish the business purpose of the data, the websites or platforms to be covered, the exact fields to be extracted, the required collection frequency, the expected data format and delivery method, validation rules, and processes for managing future source changes. This helps prevent clients from receiving large amounts of data that do not match their intended use. Clients can review a sample dataset before full production begins, and the approved sample serves as the reference structure for development, validation, and delivery.
The company serves data-intensive industries, including ecommerce and retail, where structured web data supports price monitoring, product matching, catalog analysis, digital shelf measurement, seller monitoring, review analysis, and inventory tracking. Grocery, restaurant, food delivery, and quick commerce businesses can collect product availability, menu listings, delivery coverage, promotions, location data, and assortment changes. Travel and hospitality companies can monitor accommodation listings, room availability, airfare, travel packages, customer reviews, and destination trends. Finance, legal, and investment organizations can collect publicly available company records, market information, regulatory documents, financial news, and alternative data signals. Healthcare and pharmaceutical businesses can use carefully scoped public-source extraction for medicine listings, product information, clinical research records, provider directories, and market analysis, with requirements reviewed to avoid intentional collection of protected or non-public personal information.
KVETOiQ's managed capabilities include web scraping, enterprise web crawling, custom data extraction, web scraping API development, AI-powered data extraction, live and scheduled crawling, mobile app data scraping, AI training data collection, ecommerce and marketplace scraping, and industry-specific web data pipelines. Data can be delivered in formats such as CSV, Excel, JSON, or via a custom API, with delivery arranged as one-time, scheduled recurring, or near real-time updates according to project feasibility. Supported platforms include Amazon, Walmart, Shopify stores, TikTok Shop, Flipkart, eBay, Etsy, Best Buy, Wayfair, Alibaba, AliExpress, Wish, and Newegg.
Reliability is a key focus. Websites regularly change page structures, loading methods, pagination, product attributes, and access controls, which can lead to incomplete or incorrectly mapped data if not monitored. KVETOiQ applies project-specific checks such as required-field validation, duplicate detection, data-type consistency, format normalization, source-level review, and unexpected-value detection. For recurring projects, monitoring helps identify structural changes and extraction results that fall outside the expected schema, allowing ongoing maintenance to adjust the crawler and protect continuity.
Since beginning operations in August 2021, KVETOiQ reports serving more than 200 clients, covering over 45 markets, processing more than 250 million records, and mapping data from more than 120 platforms. The company's primary commercial focus includes U.S. organizations that require structured web data for ecommerce operations, competitive monitoring, market research, artificial intelligence development, and other data-driven applications. Businesses can begin with a requirements discussion and sample dataset before moving into complete production. To learn more about KVETOiQ's managed web scraping and data extraction services, visit https://kvetoiq.com/.
