KVETOiQ, a web scraping and data extraction company, has announced the expansion of its managed services for small businesses, mid-sized companies, and large enterprises across the United States and international markets. The expanded model provides organizations with a structured way to collect and maintain publicly available web data without building internal scraping operations.
The company supports projects ranging from focused datasets to complex enterprise programs involving multiple sources, high data volumes, and recurring delivery. Every project is tailored to the client's required sources, fields, formats, and update frequency, with a sample-first delivery process.
"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 focused projects such as competitor research, lead data collection, product monitoring, and local market analysis. Mid-sized companies can benefit from scheduled collection, broader source coverage, and structured delivery for pricing analysis, catalog monitoring, and market research. Large enterprises may require extensive source mapping, custom schemas, high-volume extraction, and API delivery, which KVETOiQ manages to reduce the burden on internal engineering teams.
The company approaches web scraping as a business data service, establishing the business purpose, source coverage, exact fields, collection frequency, data format, validation rules, and source change management before development. Clients can review a sample dataset before full production, ensuring the data matches their intended use.
KVETOiQ serves data-intensive industries including ecommerce, retail, grocery, travel, finance, healthcare, and more. For ecommerce, structured data supports price monitoring, product matching, and catalog analysis. Grocery and delivery businesses can collect product availability and menu listings. Travel companies can monitor accommodation listings and pricing. Finance and legal organizations can gather company records and regulatory documents.
Capabilities include web scraping, enterprise web crawling, custom data extraction, web scraping API development, AI-powered extraction, and mobile app data scraping. Data can be delivered in CSV, Excel, JSON, or via custom API, with one-time, scheduled, or near real-time delivery options. Supported platforms include Amazon, Walmart, Shopify, Flipkart, and more.
Reliability is ensured through project-specific checks such as required-field validation, duplicate detection, data-type consistency, and format normalization. For recurring projects, monitoring identifies structural changes and extraction issues, with ongoing maintenance to protect continuity.
Since 2021, KVETOiQ reports serving over 200 clients, covering more than 45 markets, processing over 250 million records, and mapping data from over 120 platforms. The company is headquartered in Ahmedabad, India, and focuses on U.S. organizations that require structured web data for ecommerce, competitive monitoring, market research, and AI development.
Businesses can start with a requirements discussion and sample dataset before full production, ensuring a cost-effective and scalable approach to web data collection.
