AI-powered web agent that autonomously extracts structured data from websites at scale. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.
An AI that automatically extracts structured data from any website — point it at a site and get organized, usable data back.
Reworkd AI provides an autonomous web agent platform designed to extract structured data from websites without requiring manual scraping scripts or complex configuration. The platform uses AI to understand web page layouts, navigate through multi-page workflows, and pull out the specific data points users need — all through a simple natural language interface where you describe what data you want.
The core product revolves around intelligent web scraping that adapts to different website structures automatically. Unlike traditional scrapers that break when a site changes its HTML, Reworkd's AI agents understand the semantic meaning of page elements and can adjust their extraction logic accordingly. Users specify their data requirements in plain English, and the agent figures out how to navigate to the right pages, handle pagination, deal with dynamic content loading, and extract the requested fields.
Reworkd supports bulk extraction workflows where agents can process hundreds or thousands of URLs, extracting consistent structured data from each. The platform handles common challenges like rate limiting, CAPTCHA navigation, and authentication flows. Results are delivered as clean structured data in formats like CSV, JSON, or directly into databases and spreadsheets.
The platform is particularly useful for lead generation, market research, competitive intelligence, and building datasets from publicly available web data. Enterprise users leverage it for monitoring competitor pricing, aggregating job listings, collecting real estate data, and building training datasets for ML models. The API allows integration into existing data pipelines for automated, recurring extraction jobs.
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Describe what data you need in plain English and the AI agent determines how to extract it from any website, adapting to different layouts automatically.
Use Case:
Extracting product names, prices, and specifications from e-commerce sites without writing CSS selectors.
Agents autonomously handle pagination, infinite scroll, category browsing, and multi-step workflows to collect complete datasets.
Use Case:
Scraping all job listings from a career site that spans hundreds of paginated results pages.
Process hundreds of URLs in parallel with consistent data extraction schemas applied across all pages.
Use Case:
Extracting company information from a list of 500 LinkedIn company pages for sales prospecting.
AI understands semantic page structure rather than relying on fixed selectors, making extractions resilient to website design changes.
Use Case:
Maintaining reliable price monitoring across retail sites that frequently update their frontend.
Export extracted data as CSV, JSON, or push directly to Google Sheets, databases, and downstream APIs.
Use Case:
Feeding extracted market research data directly into a CRM or analytics dashboard.
RESTful API for embedding extraction capabilities into automated pipelines with scheduling and webhook support.
Use Case:
Running nightly competitor price extraction jobs that feed into a pricing optimization system.
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View Pricing Options →Lead generation by extracting contact information from business directories
Competitive price monitoring across e-commerce platforms
Building research datasets from publicly available web data
Real estate listing aggregation from multiple property sites
We believe in transparent reviews. Here's what Reworkd AI doesn't handle well:
Reworkd uses AI to understand the semantic meaning of page elements rather than relying on fixed CSS selectors or XPaths. When a site updates its design, the agent adapts its extraction logic automatically based on the content structure rather than specific HTML patterns.
Yes, Reworkd agents run in a full browser environment that executes JavaScript, waits for dynamic content to load, and interacts with SPAs just like a human user would. This includes handling infinite scroll, lazy loading, and AJAX-driven content.
Traditional scrapers require you to write code specifying exactly which elements to extract. Reworkd uses AI to understand your data requirements in natural language and figures out the extraction logic automatically, making it much faster to set up and more resilient to changes.
Yes, the Pro and Enterprise plans support scheduling extractions on daily, weekly, or custom intervals. Results can be automatically delivered via webhooks, email, or pushed to connected databases and spreadsheets.
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