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What is Diggernaut?

Diggernaut is a comprehensive cloud platform tailored for web scraping, data extraction, and various ETL (Extract, Transform, Load) tasks. Resellers often encounter difficulties in retrieving data from suppliers in user-friendly formats such as Excel or CSV, leading to the necessity of manually gathering information from supplier sites. By utilizing a small automated tool known as a digger, users can effectively scrape data from numerous websites, normalize it, and securely store it in the cloud. Once the scraping process is finished, users can download their data in formats like CSV, XLS, or JSON, or they can access it via our Rest API. This versatile tool allows for the acquisition of product pricing, essential details, customer reviews, and ratings from retail platforms. Moreover, it facilitates the collection of various event-related data from different locations around the world, headlines from various news outlets, and reports from government entities such as police and fire departments, along with access to legal documents. By streamlining the data gathering process, Diggernaut empowers users across multiple industries to enhance their operational efficiency. This makes Diggernaut an invaluable resource for anyone looking to improve their data management capabilities.

What is AgentQL?

Forget the limitations of unreliable XPath or DOM selectors; AgentQL utilizes AI technology to accurately identify elements, effortlessly adapting to any modifications on websites. By leveraging natural language, you can specify the exact elements you need based on their significance instead of depending on fragile coding structures. This innovative tool offers results customized to your requirements while ensuring reliable performance for consistent results. To embark on your journey, download our Chrome extension, which facilitates a seamless web scraping experience. Extracting data from a multitude of websites becomes effortless, and you can enhance your security with a personalized API key, allowing you to harness the full potential of AgentQL while protecting your applications. Start by crafting your first query, a simple approach to define the data or web elements you wish to gather. Furthermore, explore the AgentQL SDK, which empowers you to automate tasks with ease. This potent combination enables you to swiftly collect essential data, greatly improving your analytics and insights. With AgentQL, revolutionizing your interaction with web data is more accessible than ever, making it an essential asset for any professional focused on data-driven decision-making. Embrace the future of web data extraction and unlock new possibilities for your projects.

Media

Media

Integrations Supported

Google Chrome

Integrations Supported

Google Chrome

API Availability

Has API

API Availability

Has API

Pricing Information

$9.99 per month
Free Trial Offered?
Free Version

Pricing Information

$99 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Diggernaut

Date Founded

2016

Company Location

United States

Company Website

www.diggernaut.com

Company Facts

Organization Name

AgentQL

Company Website

www.agentql.com

Categories and Features

Data Extraction

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

Categories and 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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