In today's digital economy, data is your most valuable asset. But most of it—customer emails, supplier invoices, competitor websites, support tickets—is unstructured. Manually sifting through this mountain of information is slow, expensive, and prone to error. Traditional automation using custom scripts is brittle and breaks with the slightest change in a website's layout.
What if you could simply describe the data you need and have an intelligent agent fetch it for you, perfectly structured, every single time?
Welcome to the future of data processing. With AI-powered tools like extract.do, you can turn chaotic, unstructured text, documents, and websites into clean, actionable JSON with a simple API call. This "Business-as-Code" approach replaces complex ETL pipelines with intelligent automation.
Ready to see how? Here are five powerful business workflows you can automate today.
The Problem: Your sales team spends countless hours manually prospecting—scouring LinkedIn, company websites, and online directories to find contact names, job titles, and email addresses. It's a grind that takes them away from what they do best: selling.
The AI Solution: Automate the entire prospecting process. With an AI data extraction agent, you can point it to a list of company websites or professional networking profiles and instruct it to pull key information.
Imagine running a simple script that:
This isn't just web scraping; it's intelligent data extraction that understands the context of the data, dramatically reducing manual effort and accelerating your sales pipeline.
The Problem: Keeping a close eye on your competition is critical but incredibly time-consuming. Manually tracking competitor pricing, new product features, special offers, and customer reviews across dozens of websites is a full-time job.
The AI Solution: Deploy an army of AI agents to monitor the market for you. Set up an automated workflow that regularly visits competitor websites, product pages, and review aggregators.
With extract.do, you can extract specific data points like:
This data flows directly into your database or analytics dashboard, giving you a real-time view of the competitive landscape so you can make smarter, faster decisions on pricing and product strategy.
The Problem: Your finance or operations team is buried under a pile of PDF invoices, purchase orders, and receipts. Each one requires someone to manually read the document and key the data—vendor, date, amount, line items—into your accounting software. It's a recipe for bottlenecks and costly errors.
The AI Solution: Teach an AI to read. extract.do can process text from any document, regardless of its layout or format. You simply define the fields you need (vendor_name, invoice_id, total_amount), and the AI agent intelligently finds and extracts the corresponding values from the document's text.
This transforms your accounts payable process from a manual data-entry task into a streamlined, automated workflow, freeing up your team to focus on higher-value financial analysis.
The Problem: You want to build a job board, news aggregator, or real estate listing site. The challenge? Every source has a different website structure and HTML layout. Writing and maintaining a custom web scraper for each one is a developer's nightmare.
The AI Solution: Use a single, adaptable AI agent for all your sources. Instead of writing brittle code that looks for specific <div> tags or CSS classes, you give the agent a URL and a natural language instruction like, "Extract the job title, company, location, and job description."
The extract.do agent analyzes the page's content and structure to find the data, adapting automatically when source websites change their design. This makes it a powerful and resilient alternative to traditional ETL and web scraping tools, allowing you to build sophisticated data products with minimal engineering overhead.
The Problem: Your customer support inbox is a goldmine of product feedback, but the insights are trapped in thousands of unstructured emails and chat logs. It's nearly impossible to manually categorize every ticket and spot emerging trends.
The AI Solution: Turn qualitative feedback into quantitative data. Feed your raw support conversations into an AI extraction agent. You can instruct it to pull out structured information like:
This allows you to build powerful dashboards that visualize customer pain points, identify the most common bugs, and prioritize your product roadmap based on real, structured user feedback.
The magic behind this automation is a new paradigm: Data as Code. Instead of building complex pipelines, you simply declare the data structure you want.
With extract.do, the process is incredibly simple. Using their SDK, you define your desired output using a Typescript interface, provide the source text (or URL), and write a simple description of the data you need.
import { DO } from '@do-inc/sdk';
// Initialize the .do client
const secret = process.env.DO_SECRET;
const digo = new DO({ secret });
// Define the source text and desired data structure
const sourceText = 'Contact John Doe at j.doe@example.com. He is the CEO of Acme Inc.';
interface ContactInfo {
name: string;
email: string;
company: string;
}
// Run the extraction agent
const extractedData = await digo
.agent<ContactInfo>('extract')
.run({
source: sourceText,
description: 'Extract the full name, email, and company from the text.'
});
console.log(extractedData);
// {
// "name": "John Doe",
// "email": "j.doe@example.com",
// "company": "Acme Inc."
// }
The AI agent handles all the heavy lifting—parsing the source, understanding the context, and returning a clean, structured JSON object that matches your schema. It's fast, flexible, and adapts to changes in the source data without needing any code updates.
Stop letting unstructured data create bottlenecks in your business. AI-powered data extraction is no longer a futuristic concept—it's a practical tool that can deliver a massive ROI today. By automating manual data work, you can reduce costs, move faster, and unlock the critical insights needed to drive growth.
Ready to transform your data workflows? Get started with extract.do today and turn any data source into structured, actionable intelligence.