Stop collecting data manually. Our custom data scraping service extracts exactly what you need — from any public website — clean, structured, and delivered on your schedule.
Custom Scrapers Delivered
Data Accuracy Rate
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Businesses Served
Custom data scraping is a tailored web data extraction service built around your exact requirements. Unlike generic scraping tools, we design each scraper for your specific target websites, data fields, update frequency, and delivery format — handling all technical complexity on your end.
Businesses use web scraping to automate competitor monitoring, pricing intelligence, lead generation, market research, and content aggregation — replacing slow, error-prone manual data collection with a reliable, continuously running data pipeline.
Every custom data scraping project is scoped around your exact targets, data points, and business workflow — not repurposed from a generic template.
We handle scraper development, anti-bot bypass, proxy management, and maintenance. You receive clean data — nothing else to configure.
When target websites change layout or add new protections, our team fixes the pipeline automatically — before it affects your data delivery.
Choose the delivery model that fits your team — fully managed custom scraping, API-based extraction, or ready-to-use datasets. All three use the same infrastructure and quality standards.
We build a fully managed scraper designed for your specific targets, data fields, and delivery schedule. You share requirements — we handle everything else from development to ongoing maintenance.
Connect our scraping API to extract live data on demand — no scraper to build or host. Handle CAPTCHA, JavaScript rendering, and proxy rotation through a single integration point.
Need data now? Browse pre-built datasets across e-commerce, grocery, travel, and real estate. Download immediately in CSV or JSON — no scraping setup, no wait time.
Our web scraping service is purpose-built for each vertical — not the same generic scraper applied to every industry.
Extract product prices, availability, titles, SKUs, images, and reviews from Amazon, Flipkart, Walmart, and 100+ online stores. Used by D2C brands and marketplaces for pricing intelligence and catalog management.
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Real-time inventory, pricing, and delivery slot data from Blinkit, Zepto, Instamart, and Dunzo. Built for demand forecasting, competitive pricing, and supply chain analytics in fast-moving q-commerce markets.
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SKU-level pricing, promotions, stock availability, and product data from BigBasket, Kroger, Tesco, and regional grocery chains. Helps FMCG brands and retail teams track competitive positioning in real time.
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Menu data, pricing, ratings, delivery fees, and restaurant rankings from Swiggy, Zomato, DoorDash, and Uber Eats. Used for competitive benchmarking, menu analysis, and demand pattern research.
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Menu items, pricing, operating hours, customer reviews, and location data from Google, Yelp, Zomato, and TripAdvisor. Helps hospitality brands monitor reputation and benchmark competitors at scale.
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Hotel rates, flight fares, OTA pricing, availability, and traveler reviews from Booking.com, Airbnb, MakeMyTrip, and Expedia. Powers dynamic pricing strategies for travel brands and hospitality businesses.
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Property listings, rental yields, price history, and market trends from Zillow, MagicBricks, 99acres, and global portals. Used by proptech platforms and investment teams for market analysis and pricing models.
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Public posts, engagement metrics, profile data, hashtag trends, and sentiment signals from social platforms. Used for brand monitoring, influencer research, and competitive social intelligence.
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Content catalogs, subscription pricing, viewer ratings, and availability data from Netflix, Prime Video, Disney+, and Hotstar. Helps OTT platforms and media companies benchmark content and pricing strategies.
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Alcohol prices, product listings, brand data, online liquor delivery data, and area-wise market insights from liquor retailers, delivery apps, and alcohol marketplaces. Used by beverage brands and research firms for price monitoring, competitor tracking, and market analysis.
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Share your requirements — we handle every technical detail and deliver clean, structured data on your schedule.
Tell us your target websites, required data fields, delivery format, and update frequency. We review, ask any necessary questions, and share a scoping plan within 24 hours — no commitment required to start.
Our engineers develop a custom data scraper with anti-bot bypass, proxy rotation, CAPTCHA solving, and JavaScript rendering configured specifically for your targets — then test thoroughly before any delivery.
Get AI-validated JSON, CSV, or API-delivered data on your defined schedule. Ongoing pipeline monitoring means your data keeps arriving reliably — even when target websites change or update their structure.
Backed by years of real-world scraping experience, WebDataInsights provides accurate, scalable, and custom data extraction services designed around your business needs.
Data Accuracy
Every data record passes multi-layer AI validation — null checks, deduplication, and consistency scoring — before delivery. Our accuracy standard is measured on every project, not stated as an aspiration.
Typical Delivery Time
Most custom data scraping projects are scoped, built, and tested within 48 to 72 hours of receiving your requirements. Complex, multi-source projects get a clear timeline agreed upfront — no surprises.
GDPR & CCPA Compliant
Our web scraping services only process publicly available data, respect robots.txt guidelines, and never collect personally identifiable information. Compliance documentation is available on request.
Custom data scraping is a tailored web data extraction service built around your specific business requirements — target websites, data fields, delivery format, and update schedule. Unlike off-the-shelf scraping tools, a custom scraper handles complex sites, anti-bot systems, and JavaScript rendering, and delivers exactly the structured data your workflow needs — with no manual effort on your side.
Web scraping is the automated extraction of structured data from public websites. A web scraper sends requests to target pages, parses the HTML or JavaScript-rendered content, and extracts specific data fields — such as prices, product names, reviews, or property listings — into a structured format like JSON or CSV. Businesses use web scraping to automate competitor monitoring, market research, and pricing intelligence at scale.
Yes, when done responsibly. WebDataInsights only collects publicly available web data, respects robots.txt guidelines, and never extracts personally identifiable information (PII). Our web scraping services are designed to be GDPR and CCPA compliant — with full audit documentation available on request for clients in regulated industries.
Most custom data scraping projects are scoped, built, and tested within 48 to 72 hours of receiving your requirements. Complex, multi-source, or high-volume projects may take slightly longer. Our team provides a clear timeline during the initial scoping conversation — no guesswork and no hidden delays.
WebDataInsights provides custom data scraping services for e-commerce, quick commerce, grocery, food delivery, restaurants, travel, real estate, social media, and OTT & streaming industries. Each service is purpose-built around that vertical's data structure, platform challenges, and business use case — not a generic scraper applied uniformly.
We deliver scraped data in JSON, CSV, Excel, REST API, and webhooks. Cloud integrations including AWS S3, Google BigQuery, and Google Sheets are also available. Delivery format and update schedule are agreed at the start of every project — so data arrives exactly where your team needs it, in the format you already use.
WebDataInsights can extract publicly available data from e-commerce websites, marketplaces, quick commerce platforms, restaurant and food delivery apps, travel portals, real estate websites, social media platforms, OTT & streaming services, directories, review websites, and many other industry-specific sources. Our custom scraping solutions are designed to adapt to dynamic content, JavaScript-heavy pages, and evolving website structures.
Businesses use custom web scraping services to automate data collection, reduce manual research, and gain access to large-scale market intelligence. Common use cases include competitor price monitoring, product catalog tracking, market research, lead generation, brand monitoring, trend analysis, inventory tracking, and business intelligence reporting. Automated data extraction helps organizations make faster and more informed decisions using accurate, up-to-date data.
Yes. WebDataInsights specializes in building custom web scraping solutions for unique business requirements. If your target website, marketplace, directory, or platform is not listed on our website, our team can analyze the source, define the required data fields, and develop a tailored extraction workflow that matches your delivery and update requirements.
Tell us what you need — we'll deliver a free sample dataset and scoping plan within 24 hours. No credit card, no commitment.
Get a custom quote within 15 minutes.