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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Diggernaut serves as a cloud-based platform designed for web scraping, data extraction, and other ETL (Extract, Transform, Load) processes. For resellers who face challenges obtaining data from their suppliers in accessible formats like Excel or CSV, manual data collection from supplier websites becomes a necessity. By simply setting up a digger, a small automated tool, users can efficiently scrape data from various websites, standardize it, and store it in the cloud. After the scraping is completed, users have the option to download their data in formats such as CSV, XLS, or JSON, or even access it through our Rest API. This tool enables the collection of product pricing, relevant information, reviews, and ratings from retail websites. Additionally, it allows users to gather diverse event-related information occurring in various global locations, headlines from multiple news agencies, and government reports from departments like police and fire services, as well as access to legal documents. Ultimately, Diggernaut simplifies the data acquisition process across a wide range of sectors.

Description

NuExtract is an advanced tool designed for extracting structured data from various document formats, such as text files, scanned images, PDFs, PowerPoints, spreadsheets, among others, while accommodating multiple languages and mixed-language inputs. It generates output in JSON format that adheres to user-specified templates, incorporating verification and handling of null values to reduce inaccuracies. Users can initiate extraction tasks by crafting a template through either specifying the fields they want or importing existing formats; they can enhance precision by including example documents and expected outputs in the example set. The NuExtract Platform boasts a user-friendly interface for template creation, extraction testing in a sandbox environment, managing teaching examples, and adjusting parameters like model temperature and document rasterization DPI. After completion of validation, projects can be executed through a RESTful API endpoint, enabling real-time processing of documents. This seamless integration allows users to efficiently manage their data extraction needs, enhancing both productivity and accuracy in their workflows.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hugging Face
JSON
Microsoft Excel
Microsoft PowerPoint
Qwen

Integrations

Hugging Face
JSON
Microsoft Excel
Microsoft PowerPoint
Qwen

Pricing Details

$9.99 per month
Free Trial
Free Version

Pricing Details

$5 per 1M tokens
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Diggernaut

Founded

2016

Country

United States

Website

www.diggernaut.com

Vendor Details

Company Name

NuExtract

Country

United States

Website

nuextract.ai/

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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