DataHen

DataHen, developed by DataHen Canada Inc., is a customizable data-collection platform and service that aims to streamline and standardize the process of gathering and cleansing web data. According to the vendor, DataHen empowers enterprises of all sizes with clean structured data, making it a potentially valuable tool for data scientists, data engineers, data analysts, marketing professionals, business intelligence professionals, eCommerce companies, and SAAS companies.

Key Features

Web Scraping: DataHen offers a highly customizable and scalable platform and services for enterprise web scraping. According to the vendor, it can handle difficult web scraping scenarios that other tools may struggle with, and it ensures data cleanliness by allowing users to define data schemas. Clean data can be exported in various formats such as CSV, JSON, or through APIs.

API Integrations: DataHen allows users to integrate with multiple external APIs to collect data in a standardized form. The platform provides a highly customizable code-based platform for API integration scenarios, according to the vendor. It can handle complex integration scenarios that other tools may not be able to handle, and it ensures data cleanliness by defining data schemas. Clean data can be exported in various formats.

ETL Processes: With DataHen, users can process, clean, and structure data according to specific needs. The platform offers a highly customizable code-based platform for ETL scenarios, according to the vendor. It can handle challenging transformation scenarios that other tools may struggle with, and it ensures data cleanliness by defining data schemas. Clean data can be exported in various formats.

Business Intelligence Connectivity: DataHen enables users to connect their preferred Business Intelligence tools to clean structured web data. The platform provides full API access to interact with collected data and platform functionalities. According to the vendor, users can connect tools like Google Data Studio, Tableau, Microsoft Power BI, or other tools via APIs and connectors. Data from disparate web data sources can be consolidated into a single place for easy ingestion.

Data Services: DataHen offers full data-collection services or assistance in setting up on the platform. Users can benefit from custom web scraping services to obtain clean structured web scraped data. Custom API integrations are available to push and pull data to third-party APIs. Custom ETL services are provided to obtain clean structured data according to specific requirements. Business Intelligence services are also available to connect clean structured web data to preferred BI tools.

Data Platform: DataHen provides a self-service platform for coding, scaling, and maintaining data collection processes. Users can easily code, deploy, and maintain web scraping, API integrations, and ETL processes. The platform allows users to scale data-collection processes to handle millions of page requests with ease, according to the vendor. Data can be exported in various formats such as JSON, CSV, etc. Access to the DataHen Store for ready-made scripts and templates is also provided.