Bright Data’s datasets are created using proprietary technology to collect public web data at scale, resulting in accurate, complete, and fresh insights. The PitchBook Companies Information dataset provides detailed profiles of global businesses, including company URLs, social handles, founding year, operational status, employee data, and financial details like deal types, funding rounds, and investments. Tailored for investors, analysts, and corporate strategists, this dataset supports due diligence, competitive analysis, and market trend evaluation. Customize your dataset using smart filters or choose full coverage to access key data points, including patent activity, research reports, and more. Get your PitchBook dataset today!

Real estate datasets from various websites cover all major real estate data points including: property type, size, location, price, bedrooms, baths, address, history, images, and much more. Popular use cases include: forecast housing demand, analyze price fluctuations, improve customer satisfaction, see past prices to monitor market trends, and more.

Booking Listings – Free Cancellation 🏨✈️

Booking Listings is a structured snapshot of accommodation offers worldwide as listed on Booking.com. This subset contains only properties that offer free cancellation, enabling analysts and data scientists to study flexible‑booking behaviour, derive pricing strategies, and build recommendation or revenue‑management systems.

Highlights

75 k hotels & apartments across 84 countries Rich pricing & availability metadata (final vs. original… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/Booking.com-Listings.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

Bright Data’s retail data collector is uniquely crafted to enable your digital commerce business gain a competitive edge by collecting key data sets, including: - Pricing - Competitive landscape - Special offers - Customer reviews - Pictures and videos - Seller ratings - Consumer search trends - Search engine results for products, stores and websites - Competitor advertisement scanning

This data enables you to be dynamic and adapt to real-time market realities and trends.

Dataset Card for "BrightData/Goodreads-Books"

  Dataset Summary

Explore a collection of millions of books with the Goodreads dataset, comprising over 6.3M structured records and 14 data fields updated and refreshed regularly. Each entry includes all major data points such as URLs, book IDs, titles, authors, ratings, number of ratings, reviews, summaries, genres, publication dates, author details and prices. For a complete list of data points, please refer to the full "Data… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/Goodreads-Books.

Dataset Card for "BrightData/Wikipedia-Articles"

  Dataset Summary

Explore a collection of millions of Wikipedia articles with the Wikipedia dataset, comprising over 1.23M structured records and 10 data fields updated and refreshed regularly. Each entry includes all major data points such as timestamp, URLs, article titles, raw and cataloged text, images, "see also" references, external links, and a structured table of contents. For a complete list of data points, please… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/Wikipedia-Articles.

This dataset offers a comprehensive collection of ZoomInfo company data, providing an in-depth view of businesses across various industries. It includes key attributes such as company name, description, revenue, employee count, industry, leadership details, financial metrics, and much more. With subsets available by industry and company size, this dataset enables businesses to access and analyze valuable B2B information tailored to their needs. Users can leverage this dataset for competitive intelligence, lead generation, and market analysis. The data can help identify high-value prospects, track business growth, and enrich CRM systems with detailed company profiles and firmographic information. Whether you are looking to enhance your investment strategy or improve your sales targeting, this dataset serves as a crucial resource for driving informed decisions and staying ahead in the market.

Dataset Card for "BrightData/IMDb-Media"

  Dataset Summary

Explore feature films, TV series, episodes, mini-series, documentaries, and more with this IMDb dataset, comprising over 249K structured records and 32 data fields updated and refreshed regularly. Each entry includes all major data points such as timestamp, title, URLs, release date, IMDb rating, reviews, awards, origin, category/genre, budget, cast, director, images, videos and more. For a complete list of data… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/IMDb-Media.

Bright Data’s datasets are created by utilizing proprietary technology for retrieving public web data at scale, resulting in fresh, complete, and accurate datasets. CrunchBase datasets provide unique insights into the latest industry trends. They enable the tracking of company growth, identifying key businesses and professionals, tracking employee movement between companies, as well as enabling more efficient competitive intelligence. Easily define your Crunchbase dataset using our smart filter capabilities, enabling you to customize pre-existing datasets, ensuring the data received fits your business needs. Bright Data’s Crunchbase company data includes over 2.8 million company profiles, with subsets available by industry, region, and any other parameters according to your requirements. There are over 70 data points per company, including overview, details, news, financials, investors, products, people, and more. Choose between full coverage or a subset. Get your Crunchbase dataset Today!

Gain a complete view of the real estate market with our Zillow datasets. Track price trends, rental/sale status, and price per square foot with the Zillow Price History dataset and explore detailed listings with prices, locations, and features using the Zillow Properties Listing dataset. Over 134M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Zpid
City
State
Home Status
Street Address
Zipcode
Home Type
Living Area Value
Bedrooms
Bathrooms
Price
Property Type
Date Sold
Annual Homeowners Insurance
Price Per Square Foot
Rent Zestimate
Tax Assessed Value
Zestimate
Home Values
Lot Area
Lot Area Unit
Living Area
Living Area Units
Property Tax Rate
Page View Count
Favorite Count
Time On Zillow
Time Zone
Abbreviated Address
Brokerage Name
And much more

The global proxy server software market is experiencing robust growth, driven by increasing demand for secure and private internet access, enhanced data privacy regulations, and the expansion of businesses operating across international borders. The market size in 2025 is estimated at $2.5 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected from 2025 to 2033. This signifies a substantial market expansion to an estimated $7.8 billion by 2033. Several key factors contribute to this growth trajectory. The rise of cloud-based solutions offers scalability and cost-effectiveness, attracting both large enterprises and SMEs. Furthermore, the increasing sophistication of cyber threats necessitates robust security measures, boosting demand for advanced proxy server software. The market is segmented by deployment (cloud-based and on-premises) and application (large enterprises and SMEs), with the cloud-based segment experiencing faster growth due to its flexibility and ease of management. Regional variations exist, with North America and Europe currently holding significant market share, driven by high technological adoption and stringent data privacy regulations. However, the Asia-Pacific region shows strong growth potential due to rapid digitalization and increasing internet penetration. Despite the positive outlook, challenges remain. Concerns about data security and the potential for misuse of proxy servers act as restraints on market growth. Nevertheless, ongoing technological innovations and increased awareness of data privacy are expected to mitigate these challenges. The competitive landscape is dynamic, with established players like Psiphon and HMA VPN alongside emerging providers constantly vying for market share. Innovation in areas such as anonymization techniques, speed optimization, and enhanced security features will define future success. Furthermore, strategic partnerships and acquisitions are likely to reshape the market structure in the coming years. The increasing integration of proxy server software into broader cybersecurity solutions will also play a crucial role in shaping market trends. Overall, the market for proxy server software is poised for sustained growth, driven by increasing demand for secure and private online access, making it an attractive investment opportunity for businesses operating in the cybersecurity and IT infrastructure domains.

The global proxy server software market is experiencing robust growth, driven by increasing demand for secure and anonymous internet access across various industries. The market size in 2025 is estimated at $5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. The rising adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both large enterprises and SMEs. Furthermore, stringent data privacy regulations and the increasing need to bypass geographical restrictions are significantly boosting market expansion. The proliferation of mobile devices and the growing reliance on internet-based applications contribute further to the demand for efficient and secure proxy server solutions. Emerging trends like the integration of AI and machine learning for enhanced security and performance are shaping market dynamics. However, challenges such as security vulnerabilities associated with proxy servers and the complexity of managing large-scale deployments act as restraints on market growth. The market is segmented by deployment type (cloud-based and on-premises) and application (large enterprises and SMEs), offering diverse opportunities for vendors. North America and Europe currently hold significant market share due to early adoption and well-established IT infrastructure; however, Asia Pacific is projected to witness substantial growth in the coming years, driven by increasing digitalization and expanding internet penetration. The competitive landscape features a mix of established players and emerging companies offering diverse solutions. Key players are constantly innovating to enhance their product offerings and expand their market reach. This includes focusing on advanced features like enhanced security protocols, improved performance optimization, and better integration with other enterprise software. The increasing adoption of hybrid cloud models further contributes to the market's dynamism, requiring vendors to offer flexible solutions adaptable to various deployment environments. The forecast period of 2025-2033 promises further expansion, with a significant increase in market value projected, driven by continuous technological advancements and evolving user needs for secure and efficient internet access.

Use our TikTok Shop dataset to extract detailed e-commerce insights, including product names, prices, discounts, seller details, product descriptions, categories, customer ratings, and reviews. You may purchase the entire dataset or a customized subset tailored to your needs. Popular use cases include trend analysis, pricing optimization, customer behavior studies, and marketing strategy refinement. The TikTok Shop dataset includes key data points: product performance metrics, user engagement, customer reviews, and more. Unlock the potential of TikTok's shopping platform today with our comprehensive dataset!

Gain extensive insights with our Amazon datasets, encompassing detailed product information including pricing, reviews, ratings, brand names, product categories, sellers, ASINs, images, and much more. Ideal for market researchers, data analysts, and eCommerce professionals looking to excel in the competitive online marketplace. Over 425M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Title Asin Main Image Brand Name Description Availability Subcategory Categories Parent Asin Type Product Type Name Model Number Manufacturer Color Size Date First Available Released Model Year Item Model Number Part Number Price Total Reviews Total Ratings Average Rating Features Best Sellers Rank Subcategory Buybox Buybox Seller Id Buybox Is Amazon Images Product URL And more

Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

The Google Shopping dataset is perfect for obtaining detailed product information worldwide. Easily filter by product title, seller, price, and other factors to find the exact data you need. The Google Shopping dataset includes key data points such as URL, product ID, title, description, rating, reviews count, images, seller name, delivery price, return policy, item price, total price, specifications, related items, and more.

The Balenciaga dataset offers a comprehensive collection of data regarding products offered by the esteemed Balenciaga brand. It includes essential attributes such as product name, description, and seller information, enabling businesses and analysts to gain insights into the fashion offerings from Balenciaga. The dataset captures pricing information with attributes such as initial price, final price, and currency, allowing businesses to analyze pricing trends and evaluate the pricing strategies employed by Balenciaga. Additionally, the availability status, indicated by the "in_stock" attribute, provides valuable information for inventory management and customer service purposes.

Pinterest dataset contains 109M records and 13 different attributes. Use our Pinterest profiles dataset (public data) to extract business and non-business insights from complete public profiles and filter by followers, boards amount, or locations. Tailor your dataset to suit your specific requirements, whether you need the complete dataset or a customized subset.

Explore our comprehensive Shein US database containing a wide range of products, including fashion, electronics, home goods, and more. Gain valuable insights into product details, ratings, reviews, pricing, availability, and related information. Obtain a comprehensive overview of the Shein US database, empowering you to outshine your eCommerce and retail competitors. Our dataset contains an extensive range of products, providing detailed information and prices. Discover the major data points available in our Shein US database: Product Name Price Discount Product Description Materials Product Image SKU (Stock Keeping Unit) Low on Stock and more!