Lection

Introduction to Lection

Lection is an AI-powered web scraping agent that runs in your browser. It lets users specify what to extract using natural language, then automatically builds the scraper—no coding required. The system is designed to capture structured data from websites that load in the browser and to remove manual steps such as clicking through pages or copying tables.

Teams in operations, research, growth, procurement, data, and compliance can use Lection to standardize and automate recurring web data collection. Outputs are delivered in common formats and can be routed into existing workflows and tools.

Key Takeaways

• Natural-language instructions generate scrapers without code
• Cloud scheduling enables 24/7 runs without keeping a browser open
• Handles pagination and infinite scroll on long or dynamic pages
• Deep link trawling follows links to capture nested or detail-page data
• Built-in data validation and smart error handling improve reliability
• Export to CSV, Excel, JSON, or directly to Google Sheets
• Integrates with Zapier, Make, and n8n for automated workflows
• Interactive automation can search, fill forms, and orchestrate multi-step tasks

How Lection Works

Lection operates as a browser-based agent. Users open a target website, describe the data they need in natural language, and Lection translates that intent into a structured extraction plan. It can interact with the page—searching, filling forms, and selecting from dropdowns—to reach the relevant content.

For larger collections, Lection automates pagination and scrolling, and it can follow links to detail pages to assemble complete datasets. Data validation checks help ensure consistent output, and smart retries handle transient network or page changes.

Extractions can be scheduled to run in the cloud so data stays current without manual involvement. Results are delivered to Google Sheets or exported as CSV, Excel, or JSON, and can connect to Zapier, Make, and n8n for downstream automation. The product roadmap includes a REST API, file downloading, and data change detection.

Core Benefits and Applications

Lection centralizes web data collection so teams can reduce manual effort, standardize structures, and keep datasets fresh with scheduled extractions. It is suitable for dynamic sites, listings, directories, and pages that require navigation or form inputs.

Typical applications include:

• Supply chain monitoring: Track supplier certifications, price changes, and inventory signals across vendor portals.
• Regulatory compliance monitoring: Detect policy updates and deadlines on government and regulatory sites.
• Competitive intelligence: Monitor pricing, feature announcements, and positioning across company sites and press releases.
• Lead generation and prospecting: Extract contacts and company attributes from directories and listings, then export cleaned leads.
• Financial data analysis: Capture fundamentals, filing links, and watchlists from investor and market sites to keep dashboards updated.
• Talent sourcing and recruitment: Aggregate candidate profiles, skills, and locations from job boards and portfolios.
• Data pipeline development: Mirror structured content from developer resources and API docs for downstream processing.
• Academic research and citations: Pull abstracts, citations, and datasets into sortable tables for review and collaboration.
• Real estate market research: Track listings, comps, and rent changes with scheduled refreshes and structured outputs.