Nanonets Web Scraper

Nanonets applies AI and OCR to unstructured data capture, extracting structured information from web pages, documents, and emails automatically.

Overview

Nanonets builds AI workflows that extract structured data from unstructured sources — web pages, PDFs, emails, and images. Its models learn from a few examples to capture fields like prices, names, and tables, then run at scale with human-in-the-loop review for edge cases. While known for document AI, its web-scraping workflows capture product data, listings, and competitor information with the same pipeline. Operations teams use Nanonets to automate data entry that crosses web and document boundaries.

Nanonets is strongest where web extraction meets document chaos: businesses that pull data from sites and then process PDFs, emails, and scans in the same workflow. Its AI learns field extraction from a few labeled examples, handling tables, invoices, and unstructured pages with equal fluency, and human-in-the-loop review keeps accuracy high on edge cases. The workflow builder adds approvals and integrations so extraction results flow into business systems rather than spreadsheets. API-first design means developers embed extraction directly into applications. For operations and finance teams automating data entry that spans web and document sources, Nanonets consolidates what would otherwise be two vendors and a manual bridge — and the few-shot training keeps model setup practical for non-ML teams.

Key Features

• AI extraction of structured fields from web pages and documents
• OCR for scanned PDFs, invoices, and image-based data
• Few-shot model training from small example sets
• Human-in-the-loop review queues for validation
• Workflows with approvals, integrations, and API triggers
• Exports to spreadsheets, databases, and business systems

Pricing

Nanonets offers a free trial with starter credits, then pay-as-you-go and subscription pricing based on pages processed and workflows deployed. Enterprise plans add custom model training, volume discounts, and dedicated support.

Who Is It For

It is built for operations, finance, and data teams that extract information from both web pages and documents as part of one process. It is especially effective where OCR and scraping needs overlap.

FAQ

Is Nanonets free to use?

Nanonets provides a free trial with starter credits to test extraction accuracy on your own data. Production workflows are priced by processing volume, with pay-as-you-go options for variable usage.

Does Nanonets offer an API?

Yes. API-first design is central to Nanonets: developers trigger extraction, retrieve structured results, and embed models into applications and backend workflows programmatically.

How does Nanonets compare to alternatives?

Compared with pure web scrapers, Nanonets adds document AI and OCR for mixed-source workflows. Versus manual data entry, it cuts processing time dramatically while keeping human review for accuracy-critical fields.