KVETOiQ, a web scraping and data extraction company, has announced the expansion of its managed web scraping services to cater to small businesses, mid-sized companies, and large enterprises across the United States and international markets. This move 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 expanded service model is designed to support both focused projects requiring specific datasets and complex enterprise programs involving multiple sources, high data volumes, recurring delivery, and ongoing crawler maintenance. Each project is tailored to the client's required sources, fields, formats, update frequency, and business objective, ensuring that the service aligns with actual needs.
"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."
The company's goal is to make professional web scraping services accessible at different stages of business growth while maintaining a structured, sample-first delivery process. This approach allows businesses to evaluate the usefulness of the data before expanding the project, reducing the risk of investing in data that does not meet their 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 supports through recurring web data pipelines for pricing analysis, catalog monitoring, customer review analysis, market research, and operational reporting.
Large enterprises often need more extensive source mapping, custom schemas, high-volume extraction, API delivery, validation rules, and continuous source monitoring. KVETOiQ develops managed crawling systems around these requirements, helping to reduce the burden on internal engineering and data departments.
This flexible delivery structure allows businesses to start with the data they currently need and expand source coverage, frequency, and volume as their requirements evolve. The company approaches web scraping as a business data service rather than a one-time technical script, focusing on business outcomes from the start.
Before development begins, KVETOiQ works to establish the business purpose of the data, the websites or platforms to be covered, the exact fields to extract, the required collection frequency, the expected data format and delivery method, validation rules for quality, and processes for managing future source changes. Clients can review a sample dataset before full production, which then serves as the reference structure for development, validation, and delivery.
KVETOiQ supports data-intensive industries such as ecommerce and retail, grocery and food delivery, travel and hospitality, finance and legal, healthcare and pharmaceuticals, real estate, automotive, media, and artificial intelligence. The company's capabilities include web scraping services, 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, and JSON, or through a custom API, with one-time, scheduled, or near real-time delivery options. 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 for KVETOiQ. Websites regularly change their structures, 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 adjust the crawler to maintain 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 is headquartered in Ahmedabad, India, and focuses on 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 production. To learn more about KVETOiQ's managed web scraping and data extraction services, visit https://kvetoiq.com/.
