Business Directory Data Extraction

Business directories contain company names, categories, locations, services, websites, and other publicly displayed information that can support market research, business research, supplier research, and directory analysis.

Worth Web Scraping provides custom business directory data scraping services for selected directories, local business websites, industry platforms, and other online sources.

The dataset can be designed around the businesses, categories, locations, and public fields required for your project.

Request a Data Collection Project

Businesses often need information from online sources to support research, analysis, monitoring, reporting, and internal data systems.

Worth Web Scraping provides custom business directory data scraping for selected directories and listing sources, returning the publicly displayed business information as a structured dataset.

The service can be configured around the websites, fields, volume, frequency, and output format defined for your project.

Collect structured profiles from selected business directories and websites.

Depending on the source and project requirements, data can include:

• Business name
• Business URL
• Category
• Description
• Address
• City
• State or region
• Country
• Website
• Business phone number where displayed

Collect businesses by selected categories and industries.

Depending on the source and project requirements, data can include:

• Business
• Category
• Subcategory
• Industry
• Services
• Location
• Directory URL

Collect selected businesses by geography.

Depending on the source and project requirements, data can include:

• Business name
• Address
• City
• Region
• Postal code where displayed
• Country
• Latitude/longitude where publicly displayed
• Website

Collect business contact information that directory listings publicly show.

Publicly listed business information can include:

• Business phone number where listed
• Website
• Contact page
• Address
• Public business profile links

Which fields are available depends on what each source publicly lists and on the defined project scope.

Collect the average rating and review count that selected directories display for a business.

Depending on the source and project requirements, data can include:

• Average rating
• Number of reviews
• Business

Collect listing-level information from selected directory platforms.

Depending on the source and project requirements, data can include:

• Listing title
• Listing URL
• Business
• Category
• Location
• Services
• Public attributes

Different projects require different levels of collection. Some need a defined dataset once, while others require selected information to be refreshed regularly.

Common requirements include:

Collect businesses from selected directories.

Build business datasets by geography.

Collect companies by category or industry.

Collect selected business and service information.

A reliable collection project requires more than reading individual pages. Sources can contain different layouts, pagination, categories, fields, links, and update patterns.

Our workflow can include:

1. Source Identification — You provide the websites, pages, directories, products, categories, or other source requirements.
2. Data Field Definition — We define the exact fields required for the final dataset.
3. Collection Workflow — A workflow is designed around the selected website structures and project scope.
4. Data Collection — Required information is collected from the specified online sources.
5. Data Structuring — Collected information is organized into a consistent dataset.
6. Data Cleaning & Validation — Where required, duplicates, inconsistent formats, missing values, and other data-quality issues can be reviewed.
7. Data Delivery — The completed data is delivered in the format required by your workflow.
8. Maintenance & Refresh — Recurring projects can be refreshed as source data changes.

A one-time project can be useful when you need a defined dataset for a specific research, database, analysis, or business requirement.

Common uses include:

• Market research
• Business directory creation
• Supplier research
• Local business research
• Industry database creation

Recurring collection is useful when selected information changes over time and your business requires refreshed data.

The collection frequency, sources, fields, and delivery method can be defined around the project requirements.

Collected information can be organized around the way your business uses data.

Possible delivery formats include:

• CSV
• Excel
• JSON
• API
• Database

The final structure can be defined around the fields, source requirements, and downstream use.

Use structured data for market, product, company, or industry research.

Use selected datasets for competitor and market analysis.

Use relevant company, directory, product, or market information for research workflows.

Use structured web datasets in databases, applications, APIs, dashboards, and analytics.

Use recurring data collection to maintain selected internal datasets.

Information spread across multiple online sources can be difficult and time-consuming to collect manually.

A structured process can help businesses:

• Reduce manual directory research
• Collect businesses across selected categories and locations
• Create structured company datasets
• Support market and supplier research
• Standardize directory information
• Build reusable business databases

The exact outcome depends on the selected sources, data fields, project scale, collection frequency, and intended use.

Tell us which directories or business websites you need data from, the categories and locations you want to cover, the fields required, and your preferred delivery format.

We can review your requirements and determine an appropriate data collection approach for your project.

Request a Data Collection Project