datasets

Get Real-Time, Accurate Web Datasets

Get access to datasets that are always being updated and are very accurate. These datasets that 3i Data Scraping delivers were acquired using unique crawling frameworks, which let you get real-time insights, make decisions faster, monitor your competitors, and distribute data in a way that meets the needs of your business and industry.

E-commerce Datasets

Our E-commerce Datasets give you structured, high-volume product information from major platforms including Amazon, Walmart, eBay, Rakuten, Shopee, Etsy, Lazada, Allegro, Flipkart, Zalando, and Shopify stores. This includes listings, prices, variants, availability, ratings, and seller details. These datasets are meant to help with market research, comparing your business to others, analyzing your product range, and changing prices based on demand. Businesses can easily watch market changes, keep an eye on their competitors, and find useful retail insights when they collect data on a large scale, normalize it for consistency, and make it available in a variety of formats.

Food Delivery Datasets

Food Delivery Datasets give you a clear picture of how restaurants work on platforms like DoorDash, Uber Eats, Grubhub, Deliveroo, Zomato, Swiggy, and Postmates. The datasets have information about menus, item prices, types of food, delivery fees, discounts, ratings, and how available items are in different places. This data is useful for food businesses, aggregators, and analysts since it helps them figure out market demand, pricing trends, partner performance, and trends in different parts of the country. Structured delivery makes it easy to add to analytics, dashboards, and decision-making tools.

Grocery & Supermarket Datasets

Our Grocery and Supermarket Datasets collect a lot of information about products from US stores including Instacart, Walmart Grocery, Kroger, Whole Foods, Target, etc. The information includes SKUs, categories, prices, sales, stock levels, and brand positioning. Retailers, CPG businesses, and analysts can use these datasets to keep records on price changes, follow changes in product variety, figure out how well promotions work, and learn about consumer preferences in different areas. All datasets have been cleaned, organized, and set up for analysis that can be scaled up.

Travel & Hotel Datasets

Travel and Hotel Datasets combine structured travel and hotel data from websites including Expedia, Booking.com, Airbnb, Hotels.com, and TripAdvisor. The datasets provide information about room prices, availability, amenities, ratings, reviews, and location. This data is useful for travel companies and analysts since it helps them predict demand, figure out prices, compare competitors, and analyze destinations. Regular updates make sure that everything is correct and up to date, even when travel seasons and market conditions change.

Real Estate Property Datasets

Our Real Estate Property Datasets give you accurate information about the housing and rental markets from sites like Zillow, Realtor.com, Redfin, and Trulia. The information contains property listings, pricing, rent estimates, amenities, geographical information, and trends from the past. These databases allow investors, brokers, and analysts to figure out how the market is moving, compare communities, monitor price changes, and find new opportunities. Data is standardized and improved so that it can be easily included in research, analytics, and reporting workflows.

Quick Commerce & FMCG Datasets

Quick Commerce and FMCG Datasets give you real-time information about fast-moving consumer goods and rapid delivery marketplaces on platforms including Gopuff, Amazon Fresh, Instacart Express, etc. The datasets include information about product prices, availability, shipping schedules, deals, and brand presence. This data is made for FMCG businesses, retailers, and supply chain teams. It lets you make quick decisions, analyze demand, track promotions, and compare your business to your competitors in fast-moving marketplaces.

Restaurant Datasets

Restaurant Datasets delivers tons of information about multiple restaurants by leveraging sites like Yelp, Google Maps, OpenTable, and TripAdvisor. The information includes restaurant profiles, menus, prices, hours of operation, types of food, ratings, and reviews from customers. These datasets enable organizations to figure out what customers want, keep an eye on their brand's reputation, compare themselves to their competitors, and find holes in the market. The data is in structured formats, which makes it good for analytics, location intelligence, and performance monitoring.

Social Media Datasets

Our Social Media Datasets collect public data from platforms including Instagram, X (Twitter), Facebook, Reddit, LinkedIn, and TikTok. The datasets include posts, comments, engagement metrics, hashtags, trends, and user interactions. This data is used for brand monitoring, sentiment analysis, and trend identification. It helps businesses understand how their audience behaves, keep track of how well their campaigns are doing, and find new discussions that are starting. The data is set up so that it may be easily used in analytics and AI models.

Government and Public Sector Datasets

Government & Public Sector Datasets give you organized access to data that is already available to the public, such as from Data.gov, the Census Bureau, the BLS, and the CDC. The datasets have information about demographics, the economy, jobs, health, and infrastructure. This data is useful for research institutes, businesses, and government officials since it helps with analysis, reporting, and making predictions. All datasets come from trusted sources, are standardized, and are sent in forms that are ready for analysis so that insights are always consistent and dependable.

Media & Entertainment Datasets

US sites including IMDb, Netflix trends, YouTube, Spotify, and Hulu all send their content intelligence to Media and Entertainment Datasets. The information contains titles, genres, ratings, release dates, popularity scores, and measures of how engaged the audience is. Studios, marketers, and analysts may use these datasets to learn about how well content is doing, what audiences like, and what the market is doing. Structured distribution makes it easy to employ in research for the entertainment business, analytics, and recommendation systems.

Automotive Datasets

Automotive Datasets give you complete information about the automobile market from sites like CarGurus, Autotrader, Cars.com, and Edmunds. The files include information about new and used cars for sale, their prices, features, mileage, dealer information, and reviews. This data is useful for dealers, marketplaces, and analysts since it helps with pricing benchmarking, inventory analysis, demand forecasts, and competitive research. Clean, standardized datasets make sure that all geographies and vehicle types are the same.

Financial Services Datasets

Our Financial Services Datasets gather organized financial and market data from sources like Nasdaq, NYSE, SEC filings, and financial platforms. The datasets provide information about corporate fundamentals, market indicators, filings, price trends, and rules. This data is useful for analysts, fintech companies, and research teams since it helps with risk assessment, investment analysis, compliance monitoring, and market intelligence. Data is sent in standard forms that are good for advanced analytics.

Recruitment and HR Datasets

Recruitment and HR Datasets get information about hiring and the workforce from sites like LinkedIn, Indeed, Glassdoor, and Monster. The databases contain job advertisements, income ranges, skills demand, firm hiring activities, and trends in candidates. This data is useful for HR teams, recruiters, and analysts because it lets them do things like talent mapping, compensation benchmarking, and labor market analysis. Structured delivery makes sure that it works with HR analytics tools and dashboards.

Retail Banking & FinTech Datasets

Retail Banking and FinTech Datasets give you organized information about financial goods and digital services from US banks like Chase, Bank of America, Wells Fargo, PayPal, and Square. The information covers things like product offerings, pricing, features, signs of user uptake, and market positioning. These statistics allow fintech companies, analysts, and consultants to compare services, keep an eye on new ideas, and look at the competitive landscape in the changing financial ecosystem.

Supply Chain & Logistics Datasets

Supply chain and logistics platforms including UPS, FedEx, USPS, and key freight networks provide operational intelligence through Supply Chain and Logistics Datasets. The files contain information about tracking shipments, transit times, delivery performance, route statistics, and logistics trends. This data is made for businesses and supply chain teams. It helps with efficiency analysis, risk management, performance benchmarking, and logistics optimization across complicated distribution networks.
Why work with us

Why Choose 3i Data Scraping?

Tailored Solutions

We deliver customized web scraping services to fulfill your particular business requirements.

Scalable Infrastructure

Our systems handle large-scale data extractions from complex and dynamic websites seamlessly.

High Data Accuracy

We ensure clean, reliable, and structured data for informed data-driven decision-making.

Compliance-Driven Approach

Our data scraping solutions follow ethical, secured, and legally compliant practices.

Timely Delivery

Get accurate, ready-to-use data delivered within agreed timelines, every time.

Ongoing Support

Continuous monitoring, updates, and maintenance to ensure uninterrupted data flow.

What Clients Say About Us

Our working process

Data Extraction Process: From Planning to Launch

We offer complete data scraping services, from figuring out what you need to delivering structured data, so you can make smart business decisions based on accurate, timely, and reliable data.

01
Requirement Analysis

Requirement Analysis

We initiate by understanding your exact data requirements, goals, preferred formats, and delivery frequency to design a customized and scalable data extraction plan.

02

Evaluating Target Websites

Our team thoroughly monitors competitor websites for structure, complexity, and compliance requirements to ensure smooth, accurate, and ethical data extraction processes.

Evaluating Target Websites
03
Developing Custom Scrapers

Developing Custom Scrapers

We develop robust, tailored data scrapers using advanced technologies and extract precise, high-quality data from dynamic and complex websites efficiently and securely.

04

Delivering Structured Data

Extracted data is cleaned, formatted, and delivered in structured formats like CSV, JSON, or Excel, ready for analysis and seamless business integration.

Delivering Structured Data
05
Maintenance & Support

Maintenance & Support

We continuously monitor scraper performance, update scripts for website changes, and provide ongoing support to ensure uninterrupted, consistent, and reliable data delivery.

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