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.

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

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Access our extensive Reddit datasets that provide detailed information on posts, communities (subreddits), and user engagement. Gain insights into post performance, user comments, community statistics, and content trends with our ethically sourced data. Free samples are available for evaluation. 3M+ 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:

Post ID, Title & URL Post Description & Date Username of Poster Upvotes & Comment Count Community Name, URL & Description Community Member Count Attached Photos & Videos Full Post Comments Related Posts Post Karma Post Tags And more

The commercial centre is anticipated to arrive at USD 886.03 Million in 2025 and is required to develop to USD 4369.4 Million by 2035, recording a CAGR of 17.3% over the figure time frame.

Metric	Value
Market Size (2025E)	USD 886.03 Million
Market Value (2035F)	USD 4369.4 Million
CAGR (2025 to 2035)	17.3%

Country-wise Insights

Country	CAGR (2025 to 2035)
USA	24.5%

Country	CAGR (2025 to 2035)
UK	23.8%

Country	CAGR (2025 to 2035)
European Union (EU)	24.0%

Country	CAGR (2025 to 2035)
Japan	24.3%

Country	CAGR (2025 to 2035)
South Korea	24.6%

Competitive Outlook

Company Name	Estimated Market Share (%)
Bright Data (formerly Luminati)	15-20%
ScrapeHero	12-16%
Apify	10-14%
Oxylabs	8-12%
DataDome	6-10%
Other Companies (combined)	35-45%

Bright Horizons Family Solutions reported $732M in Sales Revenues for its fiscal quarter ending in June of 2025. Data for Bright Horizons Family Solutions | BFAM - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last October in 2025.

Bright Horizons Family Solutions reported $550.68M in Cost of Sales for its fiscal quarter ending in June of 2025. Data for Bright Horizons Family Solutions | BFAM - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last October in 2025.

Bright Horizons Family Solutions reported $182.55M in Gross Profit on Sales for its fiscal quarter ending in June of 2025. Data for Bright Horizons Family Solutions | BFAM - Gross Profit On Sales including historical, tables and charts were last updated by Trading Economics this last October in 2025.

Price-To-Sales-Ratio Time Series for Bright Smart Securities & Commodities Group Ltd. Bright Smart Securities & Commodities Group Limited, an investment holding company, provides financial services in Hong Kong. It operates through three segments: Securities Broking, Commodities and Futures Broking, and Bullion Trading. The company offers broking services in traded securities, commodities, and future contracts; margin and IPO financing services; trading services in traded bullion contracts; leveraged foreign exchange trading services; administrative services; and asset management services. It also engages in the production and broadcast of finance programs. Bright Smart Securities & Commodities Group Limited was founded in 1995 and is headquartered in Central, Hong Kong.

Bright Ads UAB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

Enterprise-Value-To-Sales-Ratio Time Series for Bright Horizons Family Solutions Inc. Bright Horizons Family Solutions Inc. provides early education and childcare, back-up care, educational advisory, and other workplace solutions services for employers and families in the United States, Puerto Rico, the United Kingdom, the Netherlands, Australia, and India. The company operates in three segments: Full Service Center-Based Child Care, Back-Up Care, and Educational Advisory services. The Full Service Center-Based Child Care segment offers traditional center-based early education and child care, preschool, and elementary education services. The Back-Up Care segment provides center-based back-up child care, in-home child and senior care, school-age programs, camps, tutoring, pet care, and self-sourced reimbursed care services, as well as sittercity, an online marketplace for families and caregivers through early education and child care centers, school-age programs and in-home care providers, the back-up care network, and other providers. The Educational Advisory services segment offers tuition assistance and student loan repayment program management, workforce education, and related educational consulting services, as well as college admissions and college financial advisory services. The company was formerly known as Bright Horizons Solutions Corp. and changed its name to Bright Horizons Family Solutions Inc. in July 2012. Bright Horizons Family Solutions Inc. was founded in 1986 and is headquartered in Newton, Massachusetts.

MB "Bright Solutions" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

Access our extensive Facebook datasets that provide detailed information on public posts, pages, and user engagement. Gain insights into post performance, audience interactions, page details, and content trends with our ethically sourced data. Free samples are available for evaluation. Over 940M 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:

Post ID Post Content & URL Date Posted Hashtags Number of Comments Number of Shares Likes & Reaction Counts (by type) Video View Count Page Name & Category Page Followers & Likes Page Verification Status Page Website & Contact Info Is Sponsored Post Attachments (Images/Videos) External Link Data And much more

Bright House Sales Llc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

MB Bright humanity financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

UAB "Bright medical" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

EOD Stock: A Strong Financial Position and Bright Future

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Use our Yelp dataset to discover and review local businesses, such as restaurants, bars, cafes, hotels, and more. The Yelp dataset is a complementary dataset to the Yelp businesses overview and includes full information on each review filled on a business. Datapoints include:timestamp, business_id, review_author, rating, date, content, review_image, reactions, replies and more.

Access detailed insights with our Instagram datasets, featuring follower counts, verified status, account types, and engagement scores. Explore post information including URLs, descriptions, hashtags, comments, likes, media, posting dates, locations, and reel URLs. Perfect for understanding user engagement and content trends to drive informed decisions and optimize your social media strategies. Over 750M 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:

Account Fbid Id Followers Posts Count Is Business Account Is Professional Account Is Verified Avg Engagement External Url Biography Business Category Name Category Name Post Hashtags Following Posts Profile Image Link Profile URL Profile Name Highlights Count Highlights Full Name Is Private Bio Hashtags URL Is Joined Recently And much more