WebHarvy: Point. Click. Scrape.
WebHarvy is a visual web scraping tool for Windows that lets anyone extract data from websites without writing a single line of code. Instead of dealing with selectors, XPath, or scripts, users simply point and click on the data they want to capture - names, prices, images, links, reviews, or any other content - and WebHarvy automatically detects the underlying pattern so it can pull the same type of data from every similar page or listing on the site.
No Coding, No Subscription
WebHarvy is sold as a one-time purchase, pay once and use it for as long as you like, with no recurring monthly fees. A free trial is available to test it before buying.
AI-Powered Scraping (New in v8)
The latest version adds native support for AI/LLM-based extraction. WebHarvy can connect to cloud AI providers (OpenAI, Anthropic, Gemini) or local LLMs (via Ollama, LM Studio) to extract data and insights from unstructured content, generating summaries, running sentiment analysis, or applying custom data transformations, in addition to traditional pattern-based scraping.
Core Capabilities
Intelligent Pattern Detection: Automatically identifies repeating data patterns (lists, tables) on a page, so scraping tabular or list-based content typically needs no manual configuration.
Handles Pagination: Supports infinite scroll, "load more" buttons, numbered page links, and URL lists to scrape data spread across multiple pages.
Keyword-Based Scraping: Automatically submits lists of search keywords into site search forms and scrapes results for each keyword combination.
Category Scraping: Follows links to similar pages or listings (categories/subcategories) using a single configuration.
Login & CAPTCHA Support: Can log into websites using saved credentials and pause for manual CAPTCHA solving before resuming automatically.
JavaScript & Dynamic Content: Renders pages like a real browser, so it works with JavaScript and AJAX-heavy sites; also supports running custom JavaScript to interact with or modify pages before scraping.
Browser Automation: Can click links, select dropdown options, input text, scroll pages, and open popups as part of a scraping workflow.
Image Scraping: Downloads images or extracts image URLs, including multiple images from e-commerce product pages.
Regular Expressions: Applies regex on text or HTML source for precise, flexible data selection.
Proxy & VPN Support: Offers single or rotating proxy server support (plus VPN compatibility) to scrape anonymously and reduce the risk of being blocked.
Scheduling: Built-in scheduler runs scraping configurations automatically at set intervals for continuously fresh data.
Cloud Deployment: Runs on Amazon AWS, Microsoft Azure, and other cloud platforms supporting Windows VMs with Remote Desktop, enabling 24/7 unattended scraping.
Export Options
Scraped data can be exported to Excel, CSV, JSON, XML, or TSV files, or saved directly to a MySQL, SQL Server, or Oracle database.
Who Uses It
WebHarvy is used across use cases including e-commerce product data extraction (Amazon, eBay, Walmart), real estate listings (Zillow, Realtor.com, Trulia), sports betting odds and stats, job listings (Indeed, Glassdoor, Dice), B2B lead generation from directories, academic/scientific research data, and event exhibitor information from trade shows.
Average Rating: 4.7/5.0
Total Reviews: 9
How Do G2 Users Rate WebHarvy?
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Has the product been a good partner in doing business?: 9.6/10 (Category avg: 9.1/10)
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Consolidation: 9.6/10 (Category avg: 8.9/10)
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Data Structuring: 10.0/10 (Category avg: 9.1/10)
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Diverse Extraction Points: 9.2/10 (Category avg: 8.9/10)
Who Is the Company Behind WebHarvy?
Who Uses This Product?
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Company Size: 80% Small, 10% Medium
What Do G2 Reviewers Say About WebHarvy?
AI-generated summary from verified user reviews
Pros
- Users commend the responsive customer support of WebHarvy, making data scraping easy and effective.
- Users find WebHarvy's ease of use exceptional, enabling effortless data scraping and seamless integration with Excel.
- Users find WebHarvy's easy setup beneficial, allowing for quick implementation and user-friendly operation.
- Users appreciate the scraping efficiency of WebHarvy, finding it easy to extract and analyze data from websites.
- Users value the excellent customer service from WebHarvy, enhancing their overall experience with the product.
Cons
- Users find the difficult learning curve at the beginning challenging, impacting their overall experience with WebHarvy.
- Users express concerns over insufficient information in outdated tutorials, which hinder effective use of WebHarvy.
- Users find the learning curve steep initially, which can hinder early adoption of WebHarvy.
- Users note that the only downside is the slow performance, although data accuracy remains impressive.
What Are G2 Users Discussing About WebHarvy?