EasySpider - An open-source AI-powered visual web crawler tool
EasySpider is an open-source, free, and ad-free visual web crawler. It supports cross-platform operation (Windows, macOS, Linux) and features a graphical interface, allowing users to quickly design web crawlers without writing code...
What is EasySpider?
EasySpider is an open-source, free, and ad-free visual web crawler. It supports cross-platform operation (Windows, macOS, Linux) and features a graphical interface, allowing users to quickly design and execute crawling tasks without writing code. The tool boasts advanced features such as dynamic debugging, custom plugins, CAPTCHA recognition, OCR recognition, and proxy IP support, ensuring both security and flexibility in data collection. EasySpider provides abundant tutorial resources to help users get started quickly.
The main functions of EasySpider
- Visual no-code designBased on drag-and-drop and click operations, users can easily design web crawler tasks without writing code.
- Multiple data typesSupports collecting data such as text, images, PDFs, and JSON.
- Element screenshot and OCR recognitionIt supports taking screenshots of web page elements and recognizing text in images based on OCR technology.
- Dynamic content collectionSupports collecting dynamically loaded content, such as data generated using JavaScript.
- Browser automationIt supports adding browser plugins, executing JavaScript commands, and directly manipulating the browser using Selenium statements.
- Supports multiple browsersIt is compatible with mainstream browsers, such as Chrome and Firefox.
EasySpider project address
- Project official websitehttps://www.easyspider.net/
- GitHub repositoryhttps://github.com/NaiboWang/EasySpider
- Technical Papers: https://dl.acm.org/doi/abs/10.1145/3543873.3587345
How to use EasySpider
- Download and InstallationVisit the EasySpider GitHub page or the project website to download the latest version.
- InstallChoose the appropriate installation package based on your operating system (Windows, macOS, Linux).
- Start softwareAfter installation, launch the EasySpider software.
- Create a new taskAfter launching the software, open the Task Manager. Click the "New Task" button to create a new web crawler task.
- Design a web crawler taskGive the web crawler task a name for easier management later. Enter the URL of the webpage you want to crawl in the task settings.
- Select elementsBased on the graphical interface, right-click on the target element on the webpage (such as product information, news headlines, etc.) and select "Collect Data" or "Select Sub-elements" for operations.
- Set data collection rulesSet collection rules as needed, such as looping through each element or collecting specific fields.
- Save taskAfter completing the design, click the "Save" button to save your web crawler task.
- Debugging and optimizationClicking or double-clicking completed operations automatically marks or performs trial runs, facilitating problem identification and debugging. Based on the debugging results, the data collection rules and processes are optimized to ensure the accuracy and efficiency of data collection.
- Execute the task:
- Manual executionIn the Task Manager, select the task you designed and click the "Execute" button to start collecting data.
- Scheduled execution: Set a timer for the task to run automatically at a specified time.
- Parallel multi-openingSimultaneously start multiple tasks to achieve parallel acquisition of large-scale data.
- Data exportAfter data collection is complete, you can choose to export the data as an Excel, CSV, or TXT file, or write it to a MySQL database. The exported data will be used for further analysis or storage.
Application scenarios of EasySpider
- E-commerce data collectionIt collects product information, prices, and user reviews from e-commerce platforms for use in market research, price monitoring, and competitor analysis.
- News and public opinion monitoringIt collects news, posts, comments, etc. from news websites and social media platforms for use in public opinion monitoring and analysis.
- Academic research and literature collectionIt collects information on papers and research data from academic databases for use in academic research and literature reviews.
- Automated testingAutomated testing of web application functionalities, such as login, registration, and form submission, to ensure the stability and reliability of the application.
- Personal knowledge managementCollect content from websites that interest me and organize it into a personal knowledge base for learning and research.