Frequently Asked Questions

We extract product titles, descriptions, prices, images, SKUs, inventory levels, customer ratings, reviews, seller information, and promotional data from platforms like Amazon, Walmart, Flipkart, Myntra, Sephora, and many others.

It enables you to monitor competitor pricing in real time, track product availability, gather customer sentiment from reviews, discover market trends, and optimize your own pricing and product strategies.

We support all major platforms including Amazon, Walmart, Flipkart, Myntra, Sephora, eBay, Shopify stores, and any other publicly accessible e-commerce website globally.

Yes. We offer dedicated Price Monitoring and Dynamic Pricing services — automatically tracking price changes across competitors and feeding data into your pricing engine to help you stay competitive.

Product Matching maps identical or similar products across different sellers or platforms, allowing you to benchmark pricing, detect MAP violations, and ensure accurate competitive comparisons.

Yes. We offer pre-built, structured eCommerce Product Datasets for platforms like Amazon, Walmart, Myntra, Flipkart, and Sephora — available for immediate download or delivery.

We extract menu items, item descriptions, prices, restaurant ratings, delivery fees, estimated delivery times, promotional offers, nutritional information, and customer reviews from major food delivery platforms.

We support Zomato, Swiggy, Grubhub, Uber Eats, DoorDash, Talabat, Menulog, FoodPanda, and other regional and global food delivery apps.

Restaurants can benchmark their pricing and menu offerings against competitors. Aggregators and analysts can track delivery trends, consumer preferences, and market demand across cuisines and geographies.

Yes. We provide pre-structured datasets from Zomato, Swiggy, Grubhub, Uber Eats, Talabat, and Menulog — covering menus, pricing, and restaurant listings — available for download or delivery.

Yes. Our Food Delivery Data Scraping service includes extraction of nutritional data such as calorie counts, allergen details, and dietary labels — useful for health-focused apps and research.

We extract product names, prices, promotional discounts, stock availability, brand information, weight/volume, nutritional data, and customer reviews from online grocery platforms and supermarket websites.

We support Blinkit, Zepto, BigBasket, Amazon Fresh, Walmart Grocery, Kroger, Safeway, ASDA, Tesco, Sainsbury's, and many other regional grocery and supermarket chains globally.

It helps retailers monitor competitor pricing, identify out-of-stock opportunities, track promotional campaigns, understand consumer preferences, and optimize their own inventory and pricing strategies.

Yes. Pre-built grocery datasets are available for Blinkit, Zepto, Kroger, ASDA, Walmart Grocery, Safeway, and Sainsbury's — with data on pricing, availability, and promotions.

Yes. Our Promotional Data Extraction service continuously monitors discount offers, coupon campaigns, and seasonal promotions across grocery platforms — helping businesses respond quickly to market changes.

Quick Commerce data scraping collects real-time data from rapid-delivery platforms (10–30 minute delivery services) including product availability, pricing, delivery slots, and order volumes from apps like Zepto, Blinkit, Amazon Fresh, and BigBasket.

FMCG brands need real-time visibility into how their products are priced, displayed, and available on quick commerce shelves — to detect stockouts, competitor promotions, and pricing inconsistencies across regions.

We cover Zepto, Blinkit, Amazon Fresh, BigBasket, Tesco, and other regional q-commerce platforms across India, the UK, the US, and the Middle East.

Yes. Our real-time Product Availability Tracking service monitors stock levels across multiple quick commerce platforms simultaneously, alerting you to stockouts or inventory changes.

Yes. We offer pre-built Quick Commerce Datasets from Zepto, Blinkit, Amazon Fresh, BigBasket, and Tesco — structured and ready for immediate analysis.

We extract menu items, pricing, cuisine types, operating hours, customer reviews, ratings, delivery options, promotions, chef specials, and competitor strategies from restaurant websites and listing platforms.

It helps you benchmark menus and pricing against competitors, track customer sentiment, identify popular dishes, monitor competitor promotions, and optimize your own offerings to improve profitability.

Yes. We scrape data from Zomato, Grubhub, Yelp, OpenTable, Menulog, TripAdvisor, and other restaurant listing and review platforms in addition to individual restaurant websites.

Yes. Our Restaurant Data Intelligence service goes beyond raw extraction — delivering structured insights on competitive pricing, menu trends, promotional patterns, and customer ratings for strategic decision-making.

Yes. We offer pre-built restaurant datasets from platforms like Grubhub, Menulog, Zomato, and Coco's Kitchen — including menu data, pricing, and customer feedback.

We extract flight schedules, airfare pricing, hotel availability and rates, car rental options, tourist attraction listings, travel package details, and customer reviews from travel platforms and OTAs.

We support Expedia, Booking.com, Airbnb, MakeMyTrip, TripAdvisor, Skyscanner, Kayak, and other major global and regional travel booking and review platforms.

It helps travel agencies monitor competitor pricing, optimize dynamic package pricing, track flight and hotel availability trends, tailor marketing campaigns, and enhance customer experiences with up-to-date information.

Yes. Our Travel Intelligence Services provide structured insights from scraped data — including price trend analysis, destination popularity tracking, and competitive benchmarking — to support strategic planning.

Yes. We provide pre-structured travel datasets from Booking.com, Airbnb, MakeMyTrip, and other platforms — covering hotel rates, availability, reviews, and destination data.

We extract property listings, sale and rental prices, property descriptions, square footage, number of rooms, agent details, neighborhood demographics, market trend data, and buyer/seller reviews from real estate portals.

We support Zillow, Realtor.com, Magicbricks, 99acres, Zapkey, NoBroker, Property.com, and other regional and global real estate listing platforms.

It empowers investors and agents with insights on property price trends, high-demand neighborhoods, emerging investment hotspots, and competitive listings — enabling data-driven investment and sales decisions.

Yes. Our Real Estate Data Intelligence service delivers processed insights from raw scraped data — including market trend analysis, pricing benchmarks, and demographic breakdowns — not just raw data exports.

Yes. Through continuous scraping and price monitoring, we track how rental and sales prices evolve in specific locations — giving you a historical and real-time view of market movements.

We offer ready-made datasets across eCommerce, food delivery, grocery, quick commerce, restaurants, hotels, travel, real estate, OTT/streaming, and liquor & alcohol — all structured and ready for analysis.

All datasets are delivered in clean, structured formats (CSV, JSON, or Excel) — with consistent fields, normalized values, and no raw HTML — ready to plug into your analytics or BI tools.

Dataset freshness depends on the category. High-velocity datasets (pricing, availability) are updated daily or in near real-time, while others are updated weekly or monthly. Exact schedules are available on request.

Yes. You can download free sample datasets directly from our Store Locations and Dataset pages to evaluate data quality and structure before committing to a full dataset.

Absolutely. If our pre-built datasets don't match your exact requirements, we build custom datasets from any public website or platform — with fields, geographies, and update frequencies you specify.

Datasets are typically delivered as CSV, XLSX, or JSON files via secure download link, cloud storage (S3, GDrive), or API endpoint — depending on your preference and volume.

Our Store Location Datasets provide accurate information on physical store locations including addresses, operating hours, contact details, and geographic coordinates — covering grocery stores, supermarkets, fast food chains, gas stations, EV charging stations, pet care stores, and more.

We cover top grocery stores, fast food outlets, supermarkets, gas stations, EV charging stations, alcohol & liquor stores, pet care stores, and fitness & sports locations globally.

It supports site selection, competitive mapping, logistics planning, franchise benchmarking, market research, and hyperlocal marketing campaigns — giving businesses a geographic edge.

Yes. Sample datasets for many store location categories are available as free downloads directly from the Store Location Data section of our website.

Yes. We can scrape and deliver store location data for any specific retail chain, region, or country on request — tailored to your market research needs.

We offer Price Monitoring, Price Comparison, Price Tracking, Dynamic Pricing, Price Optimization, Price Intelligence, and MAP Monitoring — covering the full spectrum of competitive pricing strategy needs.

Minimum Advertised Price (MAP) Monitoring detects when resellers or retailers list your products below the authorized minimum price — protecting your brand value and ensuring fair market competition.

We continuously scrape competitor prices and feed that data into your pricing engine, enabling real-time price adjustments based on competitor moves, demand signals, and stock levels.

It tracks competitor promotional campaigns, discount events, and flash sales in real time — so you can match, respond, or counter competitor promotions at the right moment.

Yes. Our Digital Shelf Analytics service monitors how your products appear on retailer websites — including search ranking, content accuracy, review scores, and availability — helping you optimize your online shelf presence.

Yes. We strictly focus on publicly accessible data and never collect personal, private, or identity-related information. All scraping activities adhere to legal frameworks including GDPR guidelines and platform terms of service where applicable.

Yes. We hold certifications including ISO 9001:2015 (Quality Management) and ISO/IEC 27001:2013 (Information Security Management), reflecting our commitment to quality and data security.

We begin every engagement by signing a Non-Disclosure Agreement (NDA) to protect your ideas, business requirements, and any shared proprietary information throughout the project lifecycle.

No. iWeb Data Scraping's sole focus is on extracting publicly accessible, non-personal data. We explicitly avoid collecting names, emails, phone numbers, or any personally identifiable information (PII).

You can use the 'Check Your Data' feature on our website (:contentReference[oaicite:0]{index=0}) to verify whether any of your data appears in our datasets, in accordance with our Privacy Policy.