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About WebHarvy

WebHarvy is a web scraping software from SysNucleus that automates the extraction of data from websites. It provides features like point-and-click data selection, support for multiple data formats, and scheduled scraping so users can easily gather information without coding. The software allows users to extract data from dynamic websites and supports pagination and multiple page scraping. Users can set up their scraping tasks with a simple interface and save data in formats such as CSV, XML, or JSON. Key capabilities: point-and-click data selection dynamic website scraping support for multiple file formats scheduling options easy-to-use interface Best for: data analysts and researchers that need to gather data from various online sources.

WebHarvy Details

Vendor
SysNucleus
Year Launched
2008
Location
India
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English
Users
End Users, Data Analysts, Researchers, Marketing Professionals, Business Owners
Industries Served
Healthcare, Education, Finance, Retail
Tags
Data Extraction Software WebHarvy

WebHarvy's In-App Market Place

Does WebHarvy have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($)

Pros & Cons

  • 1. The software appears to be powerful and capable for data gathering.
  • 2. A money-back guarantee is offered within 15 days if the user is not satisfied.
  • 3. Tutorials are available for configuring data mining projects on many popular websites.
  • 4. Users found the process of setting up a data mining project to be easy.
  • 1. The software may cease to function after a short period, as reported by one user.
  • 2. Customer support can be slow or unresponsive, especially over weekends.
  • 3. Scraping may stop intermittently, requiring users to constantly monitor and resume it.
  • 4. Unattended scraping for large amounts of data is not dependable and may result in data loss.

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