Agentic Workflows: The Future of Data Acquisition

David Martin Riveros
2 min readOct 1, 2024

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An agent half human , half machine rising her hand and getting ready to do the job.

In the evolving landscape of digital business, staying ahead means not just leveraging latest technologies but also pioneering new methodologies.

One such approach gaining traction is what I like to call the “Agentic Workflow”. This isn’t just about automation; it’s about empowering systems to act with purpose, initiative, and strategic intent. At its heart lies web scraping.

What is Agentic Workflow?

Imagine a workflow where your tools don’t just perform tasks but make informed decisions, adapt to new data, and evolve over time. This is the essence of an agentic workflow. Tools within this workflow are ‘agentic’ because they exhibit behaviors traditionally thought of as requiring human-like agency — decision-making, learning from data, and adjusting strategies.

Why Web Scraping?

Web scraping is the backbone of this workflow. Here’s why:

  • Real-time Data: Gather the latest market trends, competitor moves, or consumer feedback instantly.
  • Scalability: Automate the collection of large datasets from multiple sources without human intervention.
  • Customization: Tailor scraping to your unique business needs, targeting specific data points relevant to your strategies.

Implementing an Agentic Workflow

To implement this workflow, start by defining clear objectives. What data do you need, and how will it benefit your decision-making? Then, develop or integrate scraping tools that can:

  • Extract data efficiently from web sources.
  • Analyze this data in real-time or near real-time.
  • Feedback into your decision-making processes or directly into action-oriented systems.

The Impact on Business

The adoption of an agentic workflow through web scraping can revolutionize your business intelligence and operational efficiency:

  • Enhanced Decision Making: With up-to-the-minute data, decisions are based on the most current insights.
  • Operational Agility: Systems that adapt on-the-fly can respond to business changes or market disruptions faster.
  • Innovative Edge: By automating data-intensive processes, your team can focus on strategy and innovation.

The agentic workflow isn’t just a leap forward in technology; it’s a shift in how we think about business operations. By treating our tools as agents capable of independent action and learning, we’re not just optimizing processes; we’re redefining what’s possible in the digital age.

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David Martin Riveros
David Martin Riveros

Written by David Martin Riveros

CEO & Founder of Icebergdata | Entrepreneur | Serial Web Scraping Expert | Business Intelligence & Data Analytics | Speaker | Board Member

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