Access Dun & Bradstreet Data Affordably via Apify

Antonello Zanini· August 17, 2026 View original

Key takeaways

  • Apify provides a cost-effective way to access Dun & Bradstreet data.
  • Users can build custom APIs for D&B data without enterprise contracts.
  • This data is valuable for AI applications and various business workflows.
  • Both technical and non-technical users can leverage this solution.

Who benefits

SalesMarketingFinancial ServicesAI DevelopmentBusiness Intelligence

Summary

Apify offers a method to build an affordable API for accessing Dun & Bradstreet data, with or without code, making it usable for AI applications and workflows without needing an enterprise contract.

Businesses often require access to comprehensive company data, such as that provided by Dun & Bradstreet, for various applications including AI-driven workflows. Traditionally, obtaining this data involves securing expensive enterprise contracts. Apify presents an alternative solution, enabling users to construct a custom API for D&B data access. This approach significantly reduces costs and offers flexibility, allowing both technical and non-technical users to integrate valuable business intelligence into their AI applications and operational processes.

Why it matters

Gaining cost-effective access to high-quality business data like D&B is crucial for enhancing AI models, market analysis, sales intelligence, and strategic decision-making without prohibitive expenses.

How to implement this in your domain

  1. 1Explore Apify's platform capabilities for data extraction and API creation.
  2. 2Identify specific Dun & Bradstreet data points relevant to your business needs.
  3. 3Utilize Apify's tools to build a custom data extraction workflow for D&B.
  4. 4Integrate the newly created API into your AI applications or business intelligence systems.
  5. 5Monitor data quality and update extraction processes as needed.

Original post by Antonello Zanini

"Build an affordable D&B API with Apify - with or without code - and use it in AI applications and workflows."

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Originally posted by Antonello Zanini on X · view source

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