What is Business Listings Data? Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Business Listings Data?
Business Listings Data refers to a collection of information about various businesses, including their name, address, phone number, website, hours of operation, and other relevant details. Often used by online directories, search engines, and platforms, this data provides accurate and timely information to users seeking local businesses. It helps businesses increase their online visibility and allows consumers to find and connect with the right businesses easily.
What are Examples of Business Listings Data?
Examples of business listings data include datasets offering insights into business details and local presence. Key examples include:
- Business Name: The official name of the business.
- Address: Physical address, including street, city, and zip code.
- Contact Information: Phone numbers, email addresses, and website URLs.
- Category and Industry: Classification of the business by type and sector.
Consider a business directory like Yelp, which provides business listings data. You can discover details such as the name of a restaurant, its address, phone number, operating hours, website link, and customer reviews. This information is essential for marketing research and lead generation.
Best Business Listings Databases, Datasets & API
The best business listings datasets provide detailed and accurate information on local and global businesses, making them valuable for directories and analytics. This curated list features the top datasets and APIs, selected for quality, accuracy, and trusted providers where you can buy business listings data.
Consumer Review Data & Ratings, Business Listings Data from Yelp | Real-Time API
Coresignal | Business Listings Data | Company Data | Global / 71M+ Records / Largest Professional Network / Updated Daily
WebAutomation Google Maps Company data | USA Business Listings Data | Google Places | 60M+ Companies Enriched with Emails
Business Listings Data | Listings data for businesses (physical address, phone number, websites, Hours of operation, etc)
Global POI Data | 56M+ POIs | Business Listings | POI for Maps
Point-of-Interest (POI) Data | Global Coverage | 250M Business Listings Data with Custom On-Demand Attributes
US Business Listings Data | Capabilities of US Industrial Contract Manufacturers | Verified Medium & SMB Contact Data
Business Listings Datasets | 3,4 million companies in Vietnam | Bulk delivery in CSV | GDPR proof & up-to-date
Business Listings Database (Google My Business Databases)
Airbnb.com Data | Airbnb Listings | Airbnb Occupancy Rate | Active Listings | Travel & Tourism Daily Rate
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Top Business Listings Data Providers & Companies
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Coresignal
CoverageUSAUK+247VCoresignal has strong demographic and firmographic datasets both on quality and volume while keeping the data as fresh as it can be. We've been using Coresignal for years and we can only speak highly about the product and team behind it. Highly recommended.
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SafeGraph
CoverageUSAUK+248VWe are using safegraph data to research on the foot traffic of airports in the U.S. We find it very helpful with lots of documentation. The customer support is awesome. You can post in the slack channel and got a response very quickly
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McGRAW
CoverageUSAUK+248VWe have been working with McGRAW for over two years, and their real estate investment data has been crucial to our marketing efforts. Their excellent customer support and timely insights have greatly improved our campaign effectiveness, leading to multiple property contracts. Thanks to McGRAW, we are confident utilizing their data in our marketing and sales efforts to sell our remaining units. We look forward to continuing our partnership with their data team.
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dataplor
CoverageUSAUK+247VMy firm decided to make the switch over to dataplor from a manual data collection effort once we saw measurable lift in accuracy, coverage, and cost-savings. Their resolution was far beyond what we could achieve on our own, and we no longer had to juggle the labor-intensive process of duplicates, new places, and pulling in updates. We now have a reliable stream of data in difficult markets that is high-fidelity and always current. And because they are global, adding new datasets is a breeze.
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Predik Data-driven
CoverageUSAUK+247VWe wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
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OpenWeb Ninja
CoverageUSAUK+248VOpenWeb Ninja has been an essential source for our data needs. They have a terrific selection of APIs, are very communicative and responsive, and have solutions for needs of all kinds. Highly recommend them for anyone looking for reliable and comprehensive data APIs!
Popular Use Cases for Business Listings Data
Business listings data is used across industries to improve search visibility and support analysis. Companies use it for directory creation, building local and online directories for business search. It supports market research, B2B data enrichment, email address validation, just to mention a few use cases.
Main Attributes of Business Listings Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The last name (surname) of a contact. | View 627 datasets | |
| String | The first name of a contact. | View 626 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 568 datasets | |
| String | The email address of a company or contact. | View 480 datasets | |
| String | The name of a country. | View 469 datasets | |
| String | The phone number of a contact or organization. | View 450 datasets |
Business Listings Data Use Cases in Detail
Business Listings Data is used in various scenarios:
- Contact Validation: Ensures contact information is accurate and up-to-date.
- Email Marketing: Targets and engages audiences through email campaigns.
- Email Address Validation: Confirms the accuracy and validity of email addresses.
- Email Address Verification: Verifies the authenticity of email addresses to prevent bounce backs.
- B2B Data Enrichment: Enhances business data with additional relevant information.
- Contact Data Enrichment: Completes and improves contact information with additional details.
These use cases are also valuable for small business contact data, B2B email data, and other related information for business analysis and decision-making.
Business Listings Data Attributes
Key attributes of Business Listings Data include:
| Attribute | Description |
|---|---|
| Business Name | The official name of the business. |
| Address | Physical location, including street, city, and postal code. |
| Contact Information | Phone numbers, email addresses, and website URLs. |
| Category and Industry | Type of business and its industry classification. |
| Operating Hours | Details on the business’s hours of operation. |
These attributes provide a thorough overview of a business’s profile and operational details.
How is Business Listings Data Collected?
Business Listings Data is gathered through multiple methods:
- Direct Submissions: Businesses submit their information to online directories and search engines.
- Third-Party Providers: Data is obtained from companies specializing in data aggregation.
- Public Records: Information from government and public databases.
Why is Business Listings Data Important?
Business Listings Data is critical for several reasons:
- Visibility: Enhances online presence for businesses.
- Consumer Connection: Helps consumers find and contact businesses effortlessly.
- Marketing: Supports targeted marketing efforts.
- Research: Assists in market and business research.
- Lead Generation: Facilitates the identification of business leads.
Frequently Asked Questions
How is the Quality of Business Listings Data Maintained?
The quality of Business Listings Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Business Listings Data Updated?
The update frequency for Business Listings Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Business Listings Data Secure?
The security of Business Listings Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Business Listings Data Delivered?
Business Listings Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Business Listings Data.
How Much Does Business Listings Data Cost?
The cost of Business Listings Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Business Listings Data for your needs.
What Are Similar Data Types to Business Listings Data?
Business Listings Data is similar to other data types, such as B2B Email Data, Small Business Contact Data, CEO Contact Data, Healthcare Contact Data, and Nursing Data. These related categories are often used together for applications like Location Planning.
