Hystruct

Extract structured data from any website through simple conversation

Your team needs product listings, job postings, or financial data from the web. Instead of writing scrapers, your AI agent uses Hystruct's schema-driven extraction to pull structured data from any page. Just describe what you need, and clean, organized data arrives in seconds.

Chosen by 800+ global brands across industries

Schema-driven web extraction

Your AI agent connects to Hystruct's AI-powered extraction engine, transforming unstructured web pages into clean, schema-defined data sets through natural conversation.

List Active Webhooks

A developer asks which webhooks are configured for data delivery. The agent calls Hystruct's List All Webhooks endpoint, retrieves every configured webhook with its URL and status, and presents the complete list for review or troubleshooting.

Extract Product Listings

A product analyst needs competitor pricing from an e-commerce site. Through Hystruct's schema-based extraction, the agent pulls product names, prices, ratings, and availability from the target page and delivers structured results ready for analysis.

Scrape Job Postings

An HR team wants to monitor competitor hiring. The agent uses Hystruct to extract job titles, locations, departments, and posting dates from career pages, returning structured data that reveals workforce expansion patterns.

Collect Financial Data

A research analyst needs quarterly figures from a public company page. Hystruct's predefined financial schemas let the agent extract revenue, earnings, and key metrics into a clean format without custom parser development.

Monitor Webhook Status

When extraction results are not arriving, the agent queries all webhooks and checks their configuration. It identifies misconfigured endpoints, reports missing URLs, and helps the team debug data pipeline issues through conversation.

Audit Data Pipelines

Before scaling extraction operations, the team needs a full picture of their webhook infrastructure. The agent retrieves all webhooks, groups them by destination, and provides a summary that highlights any redundancies or gaps in the data delivery chain.

Hystruct

Use Cases

Web data without the engineering

From competitive intelligence to market research, see how AI agents powered by Hystruct deliver structured web data through conversation instead of code.

Competitive Price Monitoring Without Custom Scrapers

A category manager asks 'What are the top 10 products on CompetitorX and their prices?' Your AI Agent uses Hystruct's e-commerce schema to extract product names, prices, and availability from the competitor's catalog page and returns a structured table. The category manager gets actionable pricing intelligence without involving the engineering team or writing a line of code.

Talent Market Research via Job Board Extraction

A recruiting lead wants to understand what roles competitors are hiring for. They share a career page URL. Your AI Agent applies Hystruct's job listing schema, extracts titles, locations, departments, and experience levels, and presents the data in an organized breakdown. The recruiter spots hiring trends and adjusts their own strategy accordingly.

Webhook Infrastructure Audits for Data Ops Teams

A data engineer asks the agent to review all active Hystruct webhooks. The agent retrieves the complete webhook list, groups them by endpoint destination, and flags any that appear misconfigured or duplicated. The engineer resolves pipeline issues in minutes instead of manually checking each webhook in the dashboard.

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FAQs

Frequently Asked Questions

How does Hystruct extract structured data from web pages?

Hystruct uses AI-driven parsing with predefined schemas for common data types like e-commerce products, job listings, real estate, and financial data. You select a website and data type, and Hystruct's engine identifies and extracts the relevant fields into a structured format. No CSS selectors or XPath expressions needed.

What data schemas does Hystruct support out of the box?

Hystruct provides predefined schemas for e-commerce product listings, job postings, real estate listings, financial data, and more. Custom schemas are available on enterprise plans, letting you define exactly which fields to extract from any web page structure.

What credentials does Tars need to connect Hystruct?

Tars requires your Hystruct API key, found in your Hystruct dashboard under settings. This key authenticates all API requests including webhook management and data extraction operations. No additional tokens or OAuth flows are involved.

Does Tars store the extracted web data?

No. Tars queries Hystruct in real time during conversations. Extracted data is used only to formulate the response. For persistent storage, configure Hystruct webhooks to deliver extracted data to your own database or data warehouse. Tars does not maintain separate copies.

Can Hystruct extract data from JavaScript-heavy single-page applications?

Yes. Hystruct renders pages using a full browser engine before extraction, so content loaded via JavaScript, AJAX calls, or dynamic rendering is captured. This means SPAs and modern web frameworks are handled the same as traditional HTML pages.

How is Hystruct different from building custom scrapers with BeautifulSoup or Scrapy?

Custom scrapers require writing and maintaining code, handling site structure changes, and managing infrastructure. Hystruct's AI-driven approach adapts to page layouts automatically using schemas, requires no code, and works through a simple API call. Through Tars, it becomes a conversational tool anyone on your team can use.

What happens if the target website changes its page structure?

Hystruct's AI extraction adapts to layout changes more gracefully than rule-based scrapers. Since it understands data types semantically rather than relying on fixed CSS selectors, it can often handle structural changes without manual intervention. For significant redesigns, schemas may need updating.

Can I use webhooks to automatically deliver extracted data to my systems?

Yes. Hystruct supports webhook configuration to push extracted data to your preferred endpoints as soon as extraction completes. The agent can list and review all configured webhooks, helping you audit your data delivery pipeline without accessing the Hystruct dashboard directly.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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