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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The Batch Data Collector is a Chrome Extension designed to maximize the capabilities of your browser. By crafting a recipe and establishing a batch program, you can observe your computer carry out your directives efficiently and, most importantly, automatically. True to its name, Batch Data Collector excels at gathering data and formatting it in your preferred style, whether that be in Excel spreadsheets, CSV files, or JSON format. Its user-friendly design and unmatched versatility add to its appeal. While we refrain from claiming it as the most powerful scraper available, the results will speak for themselves. The interface has been completely overhauled to resemble the familiar layout of Excel, allowing users to visually arrange their final output with ease. Capturing the necessary web elements is facilitated by an intuitive point-and-click guide. Moreover, Batch Data Collector features a template area that provides options for both standard and intricate tasks, empowering you to delegate the heavy lifting to us. After setting everything in motion, you can simply relax and observe as the progress bar inches toward completion. The convenience and efficiency of this tool make it an invaluable asset for data collection tasks.

Description

Data serves as the fundamental asset for all digital transformation efforts. Numerous initiatives encounter obstacles due to the misconception that data quality and availability are guaranteed. Yet, the stark truth is that obtaining relevant data often proves to be challenging, costly, and disruptive. The Datumize Data Collector (DDC) functions as a versatile and lightweight middleware designed to extract data from intricate, frequently transient, and legacy data sources. This type of data often remains largely untapped since accessible methods for retrieval are lacking. By enabling organizations to gather data from various sources, DDC also facilitates extensive edge computing capabilities, which can incorporate third-party applications, such as AI models, while seamlessly integrating the output into preferred formats and storage solutions. Ultimately, DDC presents a practical approach for businesses looking to streamline their digital transformation efforts by efficiently collecting essential operational and business data. Its ability to bridge the gap between complex data environments and actionable insights makes it an invaluable tool in today's data-driven landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Chrome

Integrations

Google Chrome

Pricing Details

$49 per month
Free Trial
Free Version

Pricing Details

No price information available.
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

Batch Data Collector

Founded

2010

Country

Italy

Website

www.batchdatacollector.com

Vendor Details

Company Name

Datumize

Founded

2014

Country

Spain

Website

www.datumize.com

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 Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Extraction

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

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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