The Best Large-Scale Datasets for Research and Machine

In the era of big data, the quality and size of your dataset can determine the success of your machine learning, NLP, or business intelligence project. At Crawlfeeds, we understand the value of scale, structure, and real-world relevance. That’s why we’ve curated a powerful collection of large-scale datasets, each exceeding 2 million records, across industries including real estate, e-commerce, news, and customer feedback.

Whether you're building a sentiment analysis engine, training recommendation systems, analyzing real estate markets, or running deep learning models on public opinion — these datasets offer the diversity, volume, and richness required for serious research.

🏡 Real Estate & Housing Datasets

Real estate data is foundational for use cases in property valuation, market forecasting, urban planning, and investment analysis. These datasets provide highly detailed listings data, ideal for researchers, startups, proptech firms, and financial analysts.

1. Trulia Real Estate Property Listings Dataset

This dataset includes millions of listings from Trulia with data points like location, price, property type, area, amenities, and listing status. Ideal for:

Real estate price prediction models
Neighborhood clustering and segmentation
Geographic trend analysis
Construction demand forecasting

2. Redfin USA Properties Dataset

Covers residential and commercial properties across the U.S., including price history, square footage, ZIP codes, and market trends.

Use for real estate comps modeling
Build investment analysis dashboards

3. Housing Data from Homes.com

Structured housing data with millions of records focusing on attributes like listing dates, local markets, home types, and more.

Enables risk modeling for mortgage lenders
Valuable for government housing departments & economists

🌍 E-Commerce Product Datasets

With e-commerce booming, product datasets are indispensable for market intelligence, dynamic pricing engines, product matching, and consumer behavior analytics. Departments in retail, AI product development, and operations use these datasets to gain a competitive edge.

4. Flipkart Products Dataset

Detailed product listings from Flipkart across electronics, fashion, home appliances, and more. Includes product name, price, availability, ratings, and reviews.

Useful for catalog classification and recommender systems

5. Walmart Basic Product Details Dataset

Over 2 million product entries including pricing, inventory status, and SKU-level identifiers.

Perfect for building price tracking tools

6. Target Products Dataset

Comprehensive dataset from Target's online catalog, supporting product taxonomy mapping, pricing models, and recommendation engines.

Helps streamline retail operations and fulfillment predictions

7. Otto German Products Database

Ideal for European market researchers, this dataset covers categories, brand data, specifications, and descriptions from Otto.de.

8. Electronics and Accessories Dataset

Multi-brand, multi-retailer dataset focused on electronics SKUs and accessories — perfect for price monitoring or feature-based product classification.

9. Home Depot Products Dataset

Extensive coverage of tools, home improvement items, and appliances. Use it for:

Building product search engines
Analyzing retail availability
Market basket analysis
Optimizing supply chain logistics

📰 News & Media Datasets

News datasets power text classification, summarization, event detection, and media bias detection tools. Media tech firms, research labs, and LLM developers find these datasets particularly valuable.

10. BBC Latest News Dataset (2021)

Well-structured dataset of articles, headlines, categories, and publish dates. Excellent for topic modeling, summarization, and time-series trend analysis.

11. Fox News Dataset

Massive archive of Fox News articles with metadata and full text. Useful for:

Bias detection
News classification
LLM fine-tuning on current events

📈 Customer Reviews & Feedback

Review datasets are critical for building sentiment engines, AI assistants, and consumer insights dashboards. Marketing, product, and AI/NLP teams regularly rely on large-scale review data for actionable intelligence.

12. Trustpilot Reviews Dataset (1 Million+ Records)

Authentic customer reviews across businesses and industries. Includes ratings, review text, date, and reviewer metadata. Use cases include:

Sentiment analysis
Aspect-based opinion mining
Voice-of-customer dashboards
Chatbot training for customer support

13. New York Hotels Reviews Dataset from TripAdvisor

Detailed reviews from real travelers on over 2,000+ hotels. Valuable for:

Hospitality experience modeling
Review summarization
Hotel ranking systems
Training travel recommender AI

🧠 How Different Teams Benefit from These Datasets

Data Science & AI Teams: Use massive structured datasets to train models, fine-tune LLMs, or run A/B evaluations
Marketing Teams: Analyze reviews and customer feedback to understand brand perception and improve messaging
Product Managers: Benchmark features, study competitor catalogs, or analyze customer pain points
Academic Researchers: Use real-world data to support papers, economic modeling, and machine learning benchmarks
Government & Policy Analysts: Apply real estate and housing datasets to model affordability, urban density, and zoning trends

✨ Why Use Crawlfeeds for Research Datasets?

Volume: Most datasets contain millions of real-world records
Structure: Delivered in clean CSV/JSON formats, ready for pipelines
Diversity: Industries include real estate, news, retail, and travel
Customization: Need filters or regular updates? We offer custom dataset requests

✉️ Ready to Explore More?

These datasets are just a small sample of what’s available. You can browse our full collection and request custom datasets tailored to your research or product needs.

🔗 Explore All Datasets

📧 Request a Custom Dataset

Whether you're building models, publishing research, or benchmarking algorithms — these large datasets from Crawlfeeds will help you scale faster and smarter.