Local businesses form the foundation of many economies. From independent service providers to growing regional companies, small and local businesses represent a large share of potential customers, partners, and opportunities.

The Local Business Database from Lead For Business provides structured information on local companies along with professional contact details connected to those businesses. The dataset helps organizations identify local companies, understand what they do, and connect with the professionals responsible for running them.

Rather than offering a simple list of businesses, the dataset combines business contact data with company information and location details. This allows teams to identify companies operating within specific areas and focus outreach on businesses that match their target market.

Organizations commonly use this dataset as a local business email list, a small business database, or a local business leads dataset when researching markets or building prospect lists.

Geographic Coverage

The dataset includes businesses operating across multiple cities, regions, and local markets.

Companies are associated with location information that allows users to identify businesses within specific geographic areas.

Typical geographic attributes included in the dataset may cover:

cities states or provinces regions postal areas

This location-based structure allows organizations to focus on companies operating within specific cities or local markets.

For example, a company expanding its services to a new city may use the dataset to identify businesses operating within that region and begin outreach to potential customers or partners.

Industry Representation

Local businesses operate across a wide range of industries, and the dataset reflects this diversity.

Common sectors represented include:

Professional services Retail businesses Healthcare and wellness Construction and home services Hospitality and tourism Education and training Marketing and advertising agencies Technology and IT services Automotive services Local service providers

Because business contacts are linked with company attributes, users can easily focus on specific industries or analyze businesses across sectors.

For example, a marketing agency may focus on retail and ecommerce businesses, while a technology provider may target professional services firms.

Data Fields Included

Each record combines business contact information with company and location details.

Business Contact Information

First Name Last Name Job Title Business Email Address LinkedIn Profile URL Company Name Company Domain Country City

Company Information

Company Name Website Domain Industry Employee Count Revenue Range Headquarters Location Company Description Founded Year

Location and Business Attributes

Company Size Business Category Geographic Region

These attributes help organizations understand both the company and the professionals working within it.

How Organizations Use This Dataset

Local business datasets are used by many types of organizations.

Sales Prospecting

Sales teams often target local businesses when introducing products or services. Access to business contacts allows them to reach companies within specific regions.

Local Marketing Campaigns

Marketing teams running regional campaigns may use the dataset to identify businesses operating within specific cities or markets.

Partnership Development

Companies seeking partnerships with local service providers or regional businesses can use the dataset to identify potential partners.

Market Research

Researchers may analyze business listings to understand how companies are distributed across local markets and industries.

Recruitment Research

Recruitment teams sometimes use company databases to identify small businesses operating in specific regions.

Because of these uses, the dataset is often searched as a business listing database, a local company database, or a small business contact list.

Data Sources and Organization

The dataset is compiled using information gathered from publicly available professional and business sources including:

company websites business directories professional profiles public business records

Collected information is structured and standardized so it can be easily used in CRM systems, analytics platforms, or internal prospecting tools.

This structured format helps ensure that businesses and contacts are represented consistently across the dataset.

Dataset Updates

Local business environments evolve as companies open, close, or change their operations.

To maintain relevance, the dataset is reviewed and refreshed periodically through update cycles that may include:

monthly updates quarterly dataset refreshes periodic record revisions

These updates help ensure that business listings and contact information remain useful over time.

Compliance

The dataset is maintained with attention to widely recognized data protection and marke...

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

CrunchBase is the free database of technology companies, people, and investors that anyone can edit.

Data

There is currently a bulk download but there is an API with home page at http://www.crunchbase.com/help/api.

The API provides JSON representations of the data found on CrunchBase. The API currently supports three actions: "show", "search", and "list", which are each described below.

The "v/1/" components of the URLs below refer to the current version of the API, which is 1.

Show Entity

To retrieve information about a specific entity on CrunchBase, use a URL of the form:

http://api.crunchbase.com/v/1/{namespace}/{permalink}.js

The available namespaces are:

• company
• person
• financial-organization
• product
• service-provider

{permalink} referrers to an entity's permalink as seen in the URL for its regular CrunchBase page.

Also, you can append a callback query param to have the result passed to a callback method of your choice. Examples

api.crunchbase.com/v/1/company/facebook.js
api.crunchbase.com/v/1/person/brad-fitzpatrick.js
api.crunchbase.com/v/1/financial-organization/accel-partners.js?callback=callme

Search Queries

To retrieve a list entities that match a given search query, use URLs of the form:

http://api.crunchbase.com/v/1/search.js?query={keyword(s)}

Openness

Licensing Policy page says that material is under a Creative Commons Attribution license.

For many sales and business development teams, phone outreach remains one of the fastest ways to start real conversations with potential customers. The challenge is not the outreach itself — it is finding reliable phone numbers connected to real companies and professionals.

The US Phone Number Database from Lead For Business helps solve that problem by providing structured business phone contacts linked with company information across the United States. Instead of working with disconnected phone lists, organizations gain access to phone numbers associated with identifiable businesses and professional roles.

The dataset combines business phone numbers, direct dials, and company intelligence, allowing teams to understand who they are contacting and the organization they represent. This additional context helps companies focus their outreach on businesses that match their target market.

Many organizations use the dataset as a phone number list USA, a US business phone numbers database, or a B2B phone leads USA dataset when building prospect lists or conducting outreach campaigns.

Coverage Across the United States

The database includes business phone contacts associated with companies located across the United States.

Coverage spans businesses operating in major economic regions including:

Northeast Midwest South West

Large business hubs such as New York, Los Angeles, Chicago, Houston, San Francisco, Dallas, and Atlanta are strongly represented in the dataset.

This nationwide coverage allows organizations to explore opportunities across different industries and geographic markets. Users can filter records by state, city, region, or industry to focus their outreach on specific business environments.

For example, a software company expanding its sales team may focus on technology companies in California and New York, while a logistics provider may target companies across manufacturing hubs in the Midwest.

Industry Representation

Businesses included in the dataset operate across a wide range of industries within the US economy.

Common sectors represented include:

Technology and Software Financial Services and Fintech Healthcare and Life Sciences Manufacturing and Industrial Services Retail and Ecommerce Marketing and Advertising Professional and Consulting Services Logistics and Transportation Construction and Real Estate Education and Training

Because phone contacts are connected with company attributes, users can identify companies operating in specific sectors or compare businesses across industries.

This flexibility allows teams to tailor outreach strategies based on industry, company size, or geographic location.

Data Fields Included

Each record combines business phone contacts with company information to provide additional context about the organization.

Contact Information

First Name Last Name Job Title Business Phone Number Direct Dial (when available) LinkedIn Profile URL Company Name Company Domain Country City

Company Information

Company Name Website Domain Industry Employee Count Revenue Range Headquarters Location Company Description Founded Year

Additional Attributes

Company Size Business Category Geographic Region

These fields allow organizations to understand both the contact and the company associated with the phone number.

Common Use Cases

Organizations rely on business phone data for a variety of practical purposes.

B2B Sales Prospecting

Sales teams frequently use business phone contacts to reach professionals inside target companies and introduce their products or services.

Direct Outreach Campaigns

Phone outreach allows teams to connect quickly with potential customers and decision makers across industries.

Business Development

Companies exploring partnerships or collaboration opportunities often begin by identifying businesses and contacting them directly.

Recruitment Research

Recruitment teams sometimes use company contact information when researching organizations within specific industries.

Market and Industry Research

Researchers may analyze company contact datasets to understand how businesses are distributed across sectors and geographic markets.

Because of these uses, the dataset is often searched as direct dials USA, verified US phone numbers, or a business phone number database USA.

Data Sources and Structure

The dataset is compiled using information gathered from publicly available professional and business sources including:

company websites business directories professional profiles public corporate records

Collected data is structured and standardized so it can be easily used within CRM systems, sales platforms, analytics tools, and internal prospecting workflows.

Maintaining consistent formatting helps ensure that company and contact information can be integrated smoothly into existing systems.

Dataset Updates

Business environments change frequently as companies grow, move locations, or update their teams.

To maintain usefulness o...

• 50K+ SaaS Companies • Founders & CEO's Contact Info (extra fees may apply) • 15+ Data Points for Each Company • Funding Rounds • Product Category and Subcategory • 100% Fresh Data (Update Weekly) • Human Researched and Verified • Multiple Filters Available • Customer Support • Real-Time Verified Data • Delivery Within 24/48 Hours

Our cutting-edge SAAS lead generation solution is here to help you discover high-quality leads and drive your business forward. LFBBD appears on selected Datarade top lists ranking the best data providers, including Best +8 Company Data APIs to use in 2023. We recommend using the Saas data for Marketing, Data Enrichment, and Market Research.

Our SAAS Lead Generation Service is your strategic partner in obtaining high-quality data that can supercharge your sales funnel. Get the List of SaaS Companies Worldwide with Their Funding History and Targeted database of recently funded SaaS leads.

Organizations often need reliable information about companies operating across different industries and regions. Whether the goal is sales outreach, partnership development, or market research, having access to structured company data can significantly improve how teams identify and evaluate potential opportunities.

The B2B Company Database from Lead For Business provides detailed company profiles together with business contact information. The dataset helps organizations identify companies, understand what they do, and connect with professionals working within those organizations.

Instead of offering a simple list of businesses, the dataset combines company intelligence with business contact records. This structure allows users to explore company attributes such as industry, company size, and geographic location while also accessing the relevant contacts associated with those companies.

Organizations commonly use the dataset as a company database, B2B company list, or business contact database when building prospect lists or analyzing industries.

Dataset Coverage

The dataset includes companies operating across multiple industries and geographic regions.

Businesses represented range from small organizations to large enterprises operating in global markets.

Users can filter records using attributes such as:

industry

company size

geographic location

business category

This flexibility allows teams to focus on companies that match their ideal customer profile.

For example, a software company may focus on technology firms, while a consulting organization may analyze companies operating within manufacturing or financial services.

Because of this structure, the dataset is frequently used as a B2B company dataset or business database for market exploration.

Industry Representation

Companies included in the dataset operate across a wide variety of sectors.

Common industries represented include:

Technology and Software Financial Services and Fintech Healthcare and Life Sciences Manufacturing and Industrial Services Retail and Ecommerce Marketing and Advertising Professional and Consulting Services Logistics and Transportation Education and Training Media and Telecommunications

Industry segmentation allows organizations to identify companies operating in specific markets or compare businesses across sectors.

Data Fields Included

Each record contains structured company information along with business contact attributes.

Company Information

Company Name Website Domain Industry Employee Count Revenue Range Headquarters Location Company Description Founded Year

Business Contact Information

First Name Last Name Job Title Business Email Address LinkedIn Profile URL Company Name Country City

Additional Attributes

Company Size Business Category Geographic Region

These fields allow organizations to analyze companies and identify professionals working within those organizations.

Common Use Cases

Organizations use company databases for several business purposes.

Sales Prospecting

Sales teams frequently rely on company datasets to identify organizations that match their target market and reach professionals responsible for purchasing decisions.

B2B Marketing

Marketing teams may use company information to build targeted campaigns aimed at businesses within specific industries.

Market Research

Researchers and analysts often use company datasets to analyze how businesses are distributed across sectors and regions.

Partnership Discovery

Companies exploring strategic partnerships may use the dataset to identify organizations aligned with their business goals.

Recruitment Research

Recruitment teams sometimes use company databases to identify organizations operating in specific industries or geographic markets.

Because of these uses, the dataset is often searched as a B2B sales database, contact information database, or business contact database.

Data Sources and Structure

The dataset is compiled using information gathered from publicly available professional and business sources including:

company websites

professional profiles

business directories

public corporate records

Collected information is standardized and structured so it can be easily used in CRM systems, analytics platforms, or internal prospecting workflows.

This consistent structure ensures that company profiles and business contacts can be integrated into existing business systems.

Dataset Updates

Businesses evolve constantly as companies grow, merge, relocate, or update their leadership teams.

To maintain relevance, the dataset is reviewed and refreshed periodically through update cycles that may include:

monthly updates

quarterly dataset refreshes

periodic record revisions

These updates help ensure that company information remains accurate and useful for business analysis.

Compliance

The dataset is maintained with attention to widely recognized data protection and marketing regulations including:

GDPR CCPA CA...

This dataset, "Global Companies from Wikidata", is a curated collection of 3,579 global companies with information sourced from Wikidata.

Key Features of the Dataset:

• Source: Data is extracted directly from Wikidata, a free, open, and structured database.
• Methodology: SPARQL queries were used to retrieve detailed information, including company properties, labels, and descriptions, followed by filtering for completeness.
• Curation: Only companies with full information across selected attributes were included.

Dataset Columns:

• wikidata_uri: The unique identifier for each company in Wikidata.
• company name: The official name of the company.
• description: A brief description of the company.
• country: The country where the company is based.
• instance of: The classification of the company (e.g., organization type).
• inception: The year the company was founded.
• official website: The official URL of the company’s website.
• industry: The primary industry in which the company operates.
• founded by: The individual(s) or entity that founded the company.

This dataset contains the owner information for all the accounts listed in the Business License Dataset, and is sorted by Account Number. To identify the owner of a business, you will need the account number or legal name, which may be obtained from theBusiness Licenses dataset: https://data.cityofchicago.org/dataset/Business-Licenses/r5kz-chrr. Data Owner: Business Affairs & Consumer Protection. Time Period: 2002 to present. Frequency: Data is updated daily.

LSEG's Company Data offers an extensive portfolio of content about companies including estimates, filings and ESG. Browse the catalogue.

Use our Owler companies dataset, a sales intelligence and business information research company, to map your ecosystem, and find market trends and investment opportunities. Access a database of competitors, revenue, employees, and funding for any company. Depending on your needs, you may purchase the entire dataset or a customized subset. The Owler companies information dataset offers public information on all companies listed in Owler. The dataset includes all major data points: Company size Revenue News Key executives Location Website and more. Freshness configuration: monthly refreshes refresh rate of up to 8 million records a month

Complete dataset: Free Laptop info's 0 incidents, security score trends, compliance status, and comparative benchmarks against 637 industry peers.

MongoDB, Inc. provides general purpose database platform worldwide. The company offers MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premise, or in a hybrid environment; MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB. It also provides professional services comprising consulting and training. The company was formerly known as 10gen, Inc. and changed its name to MongoDB, Inc. in August 2013. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York.

The Adventure Works dataset is a comprehensive and widely used sample database provided by Microsoft for educational and testing purposes. It's designed to represent a fictional company, Adventure Works Cycles, which is a global manufacturer of bicycles and related products. The dataset is often used for learning and practicing various data management, analysis, and reporting skills.

Key Features of the Adventure Works Dataset:

1. Company Overview: - Industry: Bicycle manufacturing - Operations: Global presence with various departments such as sales, production, and human resources.

2. Data Structure: - Tables: The dataset includes a variety of tables, typically organized into categories such as: - Sales: Information about sales orders, products, and customer details. - Production: Data on manufacturing processes, inventory, and product specifications. - Human Resources: Employee details, departments, and job roles. - Purchasing: Vendor information and purchase orders.

3. Sample Tables: - Sales.SalesOrderHeader: Contains information about sales orders, including order dates, customer IDs, and total amounts. - Sales.SalesOrderDetail: Details of individual items within each sales order, such as product ID, quantity, and unit price. - Production.Product: Information about the products being manufactured, including product names, categories, and prices. - Production.ProductCategory: Data on product categories, such as bicycles and accessories. - Person.Person: Contains personal information about employees and contacts, including names and addresses. - Purchasing.Vendor: Information on vendors that supply the company with materials.

4. Usage: - Training and Education: It's widely used for teaching SQL, data analysis, and database management. - Testing and Demonstrations: Useful for testing software features and demonstrating data-related functionalities.

5. Tools: - The dataset is often used with Microsoft SQL Server, but it's also compatible with other relational database systems.

The Adventure Works dataset provides a rich and realistic environment for practicing a range of data-related tasks, from querying and reporting to data modeling and analysis.

💰 AI Company & Startup Funding Database

38 verified deals · $155B+ total capital · 28 companies · 27 columns — Every major AI funding round, from DeepMind's acquisition to OpenAI's $40B

📌 Why This Dataset Matters

In 2025, AI captured ~50% of all global venture capital — $202B total. A single sector is consuming half of all startup investment on Earth.

This dataset tracks every major funding round in the AI industry from verified public sources. CB Insights charges $50K/year for this data. PitchBook charges $25K. This is the free alternative.

📊 Data Sources (All Public & Verifiable)

📋 Column Descriptions (27 columns)

🏆 Headline Numbers

🧪 Analysis Ideas

1. AI Funding Explosion Timeline — Visualize the exponential growth from $0.5B (2014) to $107B (2025)
2. Valuation Trajectory Charts — Plot OpenAI, Anthropic, xAI valuation over time
3. Investor Network Graph — Who co-invests with whom? (SoftBank, a16z, Microsoft, Nvidia)
4. Foundation Models vs. Applications — Where does the money go?
5. Revenue Multiples Analysis — Valuation/Revenue ratios across companies
6. Geographic Concentration — Why does SF have 79% of all AI funding?
7. Open Source vs. Closed — Do open-source AI companies raise differently?
8. The Power Law — How concentrated is AI funding? (Top 5 = 82% of capital)
9. CEO Profiles — Founder backgrounds and their fundraising success
10. Profitability Gap — Which AI companies are actually making money?
11. The Microsoft/Google/Amazon Effect — How strategic investors shape the market
12. IPO Pipeline — Which companies are most likely to IPO next?

🏷️ Tags

artificial intelligence startup funding venture capital business economics data visualization finance technology 2024 2025

📝 Data Notes

• Every deal is real and publicly verified from multiple sources
• Dataset focuses on the most significant deals (generally $65M+), not every small round
• Revenue figures are estimates from public reports (not audited financials)
• Valuation figures represent the round's terms; secondary market values may differ
• Some companies appear multiple times (one row per funding round)
• amount_usd_millions = 0 for Palantir's direct listing (no new capital raised)
• xAI figures reflect reported amounts; Elon Musk has disputed some figures publicly
• Employee counts are approximate and reflect the time of the deal

📜 License

CC-BY-4.0 — Free to use with attribution. Please cite original sources for academic work.

This dataset is the free alternative to $50K/year CB Insights subscriptions. If it helps you, upvote! 👍

Company Intelligence Name and Websites - Company Website and Alternative Domains.
Address - Standardized headquarter Address, City, Region, Zip Code, and Country LAT / LONG - Used for Geo Location Locations - Additional office locations of the business Phone - Standardized headquarter phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, Twitter, Yelp, Instagram Type - Headquarters, Branch, Local Only Description - detailed overview of the company business model and pursuit. Industry - Standardized Industries to segment companies by their most notable contributions Sector - 20 industry groupings Specialties - Non industry details shared by the company to better understand what they do SIC Code - 839 industry classifications and their definitions Revenue - Annual revenue from 1M to over 1B Employee - Number of Employees at the company

Similar Companies - used to identify competitors Funding - for start up data IP Address - from the hosted website Affiliated Companies - company hierarchy

Get Industry Wise Data with fully verified from Bizprospex. We guaranty a 100% accuracy data or data sheet. Visit today and click To Download free samples of Industry wise Data sheets.

Elevate B2B outreach with DataCaptive's precise 98M+ geo-targeted B2B contact data. Unlock growth opportunities effortlessly.

Data about power company service areas and their announcements about outages are critical for the effective coordination of resources after disasters, and also for building community and neighborhood resilience. As part of the 2015 White House Mapathon, the Department of Energy's Office of Electricity created a national geospatial database of power company service areas with pointers to public outage information (eg, through Twitter, web sites, and toll-free telephone numbers).

Mapathon participants researched public outage information state by state, and populated a lookup table so that disaster-impacted residents, tourists, first responders and relief volunteers can easily get to the information they need on scope and estimated restore times for power outages. This project benefited from participation of private and public sector folks who need this data for their work, and of third party app developers such as Red Cross and The Weather Channel who will incorporate this data into the information services they offer their users.

Our range of investment data feed services provides you with access to the fund data you need when you need it. Find the right company funding data and explore 100s of dataset & databases.