ScrapeStorm

What is ScrapeStorm?

ScrapeStorm is an AI-powered web scraping tool designed to extract data from websites without the need for manual coding. Developed by a former Google crawler team, it offers various features such as intelligent data identification, visual click operations, simulation operations, and multiple data export methods including Excel, CSV, TXT, HTML, and database formats like MySQL, MongoDB, SQL Server, and PostgreSQL. The tool also provides enterprise scraping services with features like scheduling, IP rotation, automatic export, and file download. Users can conveniently access ScrapeStorm on Windows, Mac, and Linux systems with automatic cloud storage for scraping tasks to prevent data loss.

Who created ScrapeStorm?

ScrapeStorm, an AI-powered web scraping tool, was created by a team of ex-Google crawlers. It was launched on June 17, 2021, offering users the ability to extract data from websites without any coding requirements. The tool's founder is not specifically mentioned in the provided information. ScrapeStorm provides intelligent data identification, visual click operations, multiple data export options, enterprise scraping services, and cloud account support for seamless usage across different platforms.

What is ScrapeStorm used for?

• Intelligent identification of data with no manual operation required
• Visual click operation with easy-to-use interface
• Multiple data export methods supported
• Powerful features for enterprise scraping services
• Cloud account for convenient storage and access
• Support for all operating systems
• Streamlining data extraction and saving time
• User-friendly interface with visual click operations
• Simulation operations for various interactions like text input and scrolling
• Automatic cloud storage for scraping tasks
• Automated identification of list data, tabular data, and pagination buttons without manual setting of rules
• Visual click operations for easy data extraction
• Simulation operations like inputting text, clicking, moving the mouse, and more
• Multiple data export methods including Excel, CSV, TXT, HTML, and database formats
• Enterprise scraping services with features like scheduling, IP rotation, and automatic export
• Cloud storage for convenient access from any computer
• Support for Windows, Mac, and Linux operating systems
• Automatically saved scraping tasks to the cloud server
• AI technology to simplify and automate data extraction process
• Intelligent identification of data without manual operation
• Visual click operation for easy use
• Simulation operations like input text, click, move mouse
• Multiple data export methods including Excel, CSV, HTML, etc.
• Powerful scraping capabilities for enterprise needs
• Cloud account for convenient and fast access
• Support for all operating systems: Windows, Mac, Linux
• Web Data Scraping made easier with AI technology
• Scheduling, IP rotation, and automatic export features
• No coding needed, suitable for individuals, teams, and enterprises
• Automatically identifying List Data, Tabular Data, and Pagination Buttons
• Visual click operation with Flowchart Mode for generating scraping rules
• Simulation Operations such as inputting text, clicking, moving mouse, etc.
• Multiple data export methods including Excel, CSV, TXT, HTML, databases
• Cloud account for convenient access and storage of scraping tasks
• Intelligent data identification using AI algorithms
• User-friendly interface for easy data extraction
• Saves time by streamlining the data extraction process
• Automated data extraction from websites without manual coding
• Intelligent identification of various types of data like lists, forms, links, images, prices, phone numbers, and emails
• Visual click operations with a user-friendly interface
• Simulation operations such as text input, clicking, mouse movement, scrolling, etc.
• Support for multiple data export formats including Excel, CSV, TXT, HTML, and various databases
• Convenient cloud storage for scraping tasks
• Cross-platform support for Windows, Mac, and Linux operating systems
• Easy access from any computer using cloud account synchronization
• AI-powered technology to streamline and automate the web scraping process
• Automated data extraction from websites without coding
• Intelligent identification of various types of data such as lists, forms, links, images, prices, phone numbers, and emails
• Visual click operations for easy scraping rule generation
• Support for multiple data export methods including Excel, CSV, TXT, HTML, and various database formats
• Cloud storage for storing scraping tasks and easy access from any computer
• Automated scraping tasks saving time and streamlining the extraction process
• User-friendly interface with Flowchart Mode for generating complex scraping rules
• AI technology to automate and simplify the data extraction process

Who is ScrapeStorm for?

• Data Analysts
• Researchers
• Marketing professionals
• Business analysts
• Content managers
• Recruiters
• Sales professionals
• Journalists
• Web Developers
• Professionals in data analysis
• Market Researchers
• E-commerce business owners
• SEO specialists

How to use ScrapeStorm?

To use Scrapestorm effectively, follow these step-by-step instructions:

1. Download and Install: Start by downloading Scrapestorm from the official website and install it on your computer following the provided instructions.

2. Open the Program: Launch Scrapestorm by double-clicking on the application icon. The user-friendly interface will appear, allowing you to begin your scraping tasks.

3. Create a New Task: Click on the "New Task" button to set up a new scraping project. Choose the type of task you want to perform, such as web data extraction or screen scraping.

4. Enter the Website URL: Input the URL of the website you want to scrape data from into the designated field. Make sure to specify the data fields you are interested in capturing.

5. Set up Data Extraction Rules: Define the data extraction rules by pointing and clicking on the elements you want to scrape on the website. This can include text, images, links, and more.

6. Run the Task: Once you have configured the data extraction rules, initiate the scraping task by clicking on the "Run" button. Scrapestorm will start collecting the specified data from the website.

7. Review and Export Data: After the scraping process is complete, review the extracted data to ensure accuracy. You can then export the data in various formats like CSV, Excel, or JSON.

8. Schedule Tasks (Optional): If needed, you can schedule scraping tasks to run automatically at specified times using the scheduling feature provided by Scrapestorm.

9. Save and Exit: Remember to save your project to access it later and exit the application when you have completed your scraping tasks.

By following these steps, you can effectively utilize Scrapestorm for web scraping and data extraction purposes.