3 Best Data Extraction Software and Buyers’ Guide
UiPath Robotic Process Automation
Fully-featured Extensible tool Automates web or desktop application. Best for individual developers Small professional teams Education and training purposes Configure software robots
AI-Powered visual web scraping tool Extract data from websites without writing code Powerful Very easy to use Experienced & inexperienced users Provides two different scraping modes Smart Mode Flowchart Mode
Easily extract data from websites to computer No programming or scripting knowledge required Extract data from product listings/eCommerce websites Yellow pages Real estate listings Social networks Forums
Data Extraction Software
Data Extraction Software can assist in understanding customer actions. The software automates data collection from websites and sources. It makes it helpful in helpful organizing, storing, retrieving, and using it to research and analyze customers.
Find the right data extraction software can be challenging for small businesses. Knowing which features are needed and fully realizing its benefits will help you purchase the right software for your business.
Data extraction software assist businesses to scrape data from a website/server. The data could be images, email addresses, URLs, phone numbers, etc.
The software can help acquire data regarding the market, customers, and the economy’s general state every day, week or month. It can extract various data, ranging from financial data like stock prices and bonds to contact information like email IDs, phone numbers and social media profiles).
The data extraction process has the following steps:
- Load data from the source page
- Transform source page for the extraction process
- Identify appearing elements like images, email IDs.
- Filter elements
- Export of the final data to output format such as Excel, Word.
- Schedule extraction feature in Octoparse
Features of Data Extraction Software
Email address extraction: Getting email addresses from data files, web pages, or email account.
Web data extraction: Collecting content structures in the form of product catalogues, URLs, search results, etc., from websites and store in the company database.
Schedule extraction: Setting intervals once a day, quarter or month to scrape the most recent data which the tool detects updates or new content.
IP address extraction: Extracting IP addresses from files, URLs, folders, and text snippets.
Image extraction: Extracting images of sizes and types, including pictures, graphics and photos, from a text file.
Phone number extraction: Extracting phone numbers from web pages and text files to use an inbuilt logic that filters out the required information to use a comma, colon, or another character based on preference.
Import/export: Importing data from tables and lists from websites, then export into various formats like Microsoft Excel or Word.
Data handling: Organizing and collecting data to store it in the cloud or on a server.
Advantages of Data Extraction Software
Extracting organic search and their results data for competition analysis: The tool can pull data, like meta keywords tags, title tags, and backlinks, from competitor websites. The data permits to do a competitor analysis of keywords driving traffic to a website, content categories that attract links and user engagement, and the kind of resources you need to rank your site.
Enhances lead generation: “Generating traffic and leads” was the top marketing challenge for 63 per cent of marketers in 2018. Data extraction tools can increase the process by extracting primary data like email IDs, contact information, etc., based on chosen criteria.
Considerations while Buying Data Extraction Software
Increasing data needs scalability: The data requirements will increase over time, so the solution should get the appropriate future business expansion. A desktop as a service (DaaS) software is ideal for startups and small businesses. It lets you scale up without having to invest a lot on hardware. DaaS also permits to quickly update and upgrade at a relatively low cost than a traditional workstation infrastructure.
Mass data extraction requires a robust engine: The engine used for the data extraction process should manage the entire process: sorting, filtering and making advanced extraction algorithm. It should also accommodate HTML structure changes, build a proper workflow for the operation, log and track failures, and be resilient to changes and updates.
The data interface is essential: A graphical user interface (GUI) is vital for extracting data from visual sources such as websites. GUI lets you separate editing from viewing and gives a high degree of ease when configuring and removing the data. If your tools lack GUI, it’ll be easy to create a direct relationship between the content you see and the HTML code or configuration files.