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A comprehensive guide to web crawling with WebHarvy

Tina . 2024-07-12

In the era of big data, web crawlers have become an important tool for obtaining Internet information. Although writing crawler code is a common method, using visual tools such as WebHarvy can greatly simplify the data scraping process. WebHarvy is a powerful visual web crawler tool suitable for users without programming skills. This article will introduce how to use WebHarvy for web crawling in detail.


What is WebHarvy?


WebHarvy is an easy-to-use visual crawler tool that allows users to crawl web data with simple clicks without programming. It supports extracting information from various websites, such as product data, news, comments, etc., and is suitable for various data scraping needs.


Main features of WebHarvy


- Automated data scraping: You can configure crawler rules with a mouse click to automatically crawl web data.

- Support multi-page crawling: Automatically flip through pages to crawl data to ensure complete information.

- Built-in browser: Preview and test crawler results directly in the software.

- Multiple export formats: Support exporting data to multiple formats such as CSV, XML, JSON, etc. for further processing.


Use WebHarvy to implement crawler crawling


Step 1: Download and install WebHarvy


First, visit WebHarvy official website to download and install the latest version of the software.


Step 2: Configure crawling rules


1. Start WebHarvy: Open the software and enter the built-in browser.


2. Navigate to the target website: Enter the URL of the target website in the built-in browser and navigate to the page where you need to crawl data.


3. Select data elements: By clicking on data elements on the page (such as product name, price, picture, etc.), WebHarvy will automatically identify and highlight similar elements.


4. Configure page turning rules: If you need to crawl multiple pages of data, click the "Next Page" button on the page, and WebHarvy will automatically record the page turning rules.


Step 3: Start crawling data


After completing the data element selection and paging rule configuration, click the "Start" button, WebHarvy will automatically perform the data crawling task and display the real-time progress.


Step 4: Export crawled data


After the data crawling is completed, users can choose to export the data to multiple formats, such as CSV, XML, JSON, etc., to facilitate further data analysis and processing.


Advantages and limitations


Advantages

- No programming required: Suitable for users without programming experience, the configuration can be completed through simple clicks.


- Efficient and fast: High degree of automation, fast crawling speed, and support for multi-page crawling.


- Multi-function integration: Built-in browser, data preview and multiple export formats to improve user experience.


Limitations

- Complex data processing: For crawling tasks that require complex data processing and custom logic, programming tools may be required to implement.


- Website compatibility: Some websites with dynamically loaded content may not be fully compatible and require manual adjustment of crawling rules.


WebHarvy provides a simple and efficient data crawling solution for users who do not have programming skills. Through its powerful visual configuration and automated crawling functions, users can quickly obtain the required web data to meet various data crawling needs. Whether you are a beginner or a professional who needs a quick solution, WebHarvy is a tool worth recommending.


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