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

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...

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

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.

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.

Flexible pricing available to meet all your business needs. Available for transactional orders or full licensing.

Data Fields Include: -Business Owner/Contact -Employee Size -Email -Ethnic Group of Contact Person -Executives by Title -Fax Number -Gender of Contact Person -Headquarters/Branches -Home-Based Businesses -Minority Owner Businesses -NAICS code -Professional Specialties -Sales Volume -SIC code -Small Business Owners -Square Footage -Telephone Numbers -UCC Indicator -Website Address -Year Established

B2B Contact Data B2B Marketing Data B2B Email Data CEO Contact Data Small Business Contact Data

• 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.

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.

The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

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.

The past five years have seen the US database and directory publishing industry upended by rapid digital disruption and the overwhelming dominance of free search engines and social media platforms. As consumers shifted en masse to digital channels like Google and Facebook, both of which offer real-time business listings and user-generated reviews for free, traditional directory publishers found their core value proposition swiftly eroded. Print circulation plummeted, distribution volumes collapsed and consolidation intensified, with many smaller businesses exiting through acquisition or closure. Even as publishers accelerated their transition to digital platforms and experimented with new business models, revenue continued a steady decline, sinking at a CAGR of 8.5% and expected to reach $3.3 billion in 2026, when revenue will fall by an estimated 10.0%. A defining trend during this period has been the persistent contraction in profitability as publishers grappled with dual pressures: shrinking advertising streams and rising compliance and technology costs. The commoditization of business information, coupled with the need to heavily invest in digital tools, automation and compliance with evolving data privacy regulations, has kept industry profit on a downward trajectory. Directory publishers also faced the challenge of supporting costly print infrastructure even as digital revenues lagged, resulting in operational inefficiencies. While some operators focused on niche B2B databases and premium data services for enterprise clients, overall profitability weakened as companies struggled to differentiate themselves from tech giants and absorb mounting regulatory expenses. Looking forward, the industry faces a continued shakeout as voice search and conversational AI platforms further displace traditional directory models and state data privacy laws create new financial and operational burdens. Smart strategies will include deepening specialization around curated B2B databases, leveraging blockchain for verified business data and monetizing API licensing to serve industry clients who demand accuracy and integration. Large incumbents are expected to pursue automation and compliance-driven efficiencies, while smaller publishers will likely consolidate or shift to highly specialized niches. Over the next five years, revenue is forecast to fall at a CAGR of 10.4%, reaching $1.9 billion in 2031, with profitability projected to erode further as competition intensifies and compliance costs increase.

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

The Business Lookup provides public information related to all current active accounts and five years of closed accounts for business licenses, excise tax accounts, and reseller permits issued by the Washington State Department of Revenue (DOR). It allows for search by business name, trade name, owners and officers, reseller permit number, unified business identifier (UBI), license number, street address, city, state, county, and endorsements issued through DOR's Business Licensing Service.

Dataset

This dataset was created by Vukašin Višković

Contents

Abstract copyright UK Data Service and data collection copyright owner.

The Annual Respondents Database X (ARDx) has been created to allow users of Annual Respondents Database (ARD) (held at the UK Data Archive under SN 6644) to continue analysis even though the Annual Business Inquiry (ABI) which was used to create ARD ceased in 2008. ARDx contains harmonised variables from 1997 to 2020.

ARDx is created from two ONS surveys, the Annual Business Inquiry (ABI; 1998-2008, held at the UK Data Archive under SN 6644) and the Annual Business Survey (ABS; 2009 onwards, held at the UK Data Archive under SN 7451). The ABI has an employment survey (ABI1) and a second survey for financial information (ABI2). ABS only collects financial data, and so is supplemented with employment data from the Business Register and Employment Survey (BRES; 2009 onwards, held at the UK Data Archive under SN 7463).

ARDx consists of six types of files: 'respondent files' which have reported and derived information from survey questionnaire responses; and 'universe files' which contain limited information on all business that are within scope of the ABI/ABS. These files are provided at both the Reporting Unit and Local Unit levels. There are also 'register panel' and "capital stock" files.

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

For the fifth edition (December 2023), ARDx Version 4.0 for 1997-2020 has been provided, replacing Version 3. Coverage has thus been expanded to include 1997 and 2015-2020.

Note to users
Due to the limited nature of the documentation available for ARDx, users are advised to consult the documentation for the Annual Business Survey (UK Data Archive SN 7451) for detailed information about the data.

For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.

Main Topics:

The variables included in ARDx are of two different types:

• IDBR-based information about the local unit or reporting unit, such as ownership, type of business, employment or turnover from tax records, and weights
• respondent data, indicated by 'wq' followed by a question number e.g. wq100

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.

Abstract copyright UK Data Service and data collection copyright owner.

The Research into the Barriers to Take-up and Use of Business Support, 2011 study was a one-off survey concerned with the barriers to the take up of formal external assistance, the reasons for such barriers and whether there is evidence of market failure, and the extent of latent demand for business support services. The research differentiates between: (i) non users of external assistance; (ii) users of private sector external assistance such as from accountants, solicitors, consultants, and trade associations; and (iii) users of public sector business assistance such as from Business Link, UK Trade and Investment, and local authorities.

The research was based on a CATI telephone survey of the owner-managers of Small and Medium-sized Enterprises (SMEs) in England undertaken in March 2011.

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.


Main Topics:

The survey included questions relating to the following topics:

• business profile
• challenges and problems to growth and business development
• use of external sources of information and advice over the last three years
• non-users of external assistance
• growth performance and ambitions

The data files also include the following variables for the respondent companies:

• Enterprise Reference Numbers for nearly half of the companies
• broad Standard Industrial Classification codes
• urban-rural indicators
• geographical variables, including region, county, town, and postcode