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.
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.
To use Scrapestorm effectively, follow these step-by-step instructions:
Download and Install: Start by downloading Scrapestorm from the official website and install it on your computer following the provided instructions.
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.
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.
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.
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.
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.
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.
Schedule Tasks (Optional): If needed, you can schedule scraping tasks to run automatically at specified times using the scheduling feature provided by Scrapestorm.
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.
I love the intuitive interface! As someone who has no coding experience, I found it incredibly easy to set up scraping tasks just by clicking on the elements I need. The AI features that automatically identify data points are a game changer.
Sometimes the AI doesn't perfectly identify the data I want, requiring a bit of manual adjustment. However, it's not a major issue and the overall ease of use compensates for that.
ScrapeStorm helps me extract product data from various e-commerce sites quickly and efficiently. This saves me hours of manual data entry, allowing me to focus more on analysis and strategy.
The scheduling feature is fantastic! I can set it to scrape data while I'm away, and it automatically exports the results to my database. It saves a lot of manual work.
Sometimes the export formats can be a bit tricky to manage if you're not familiar with databases. A little more guidance on that would help.
It allows me to gather competitive pricing data to adjust my strategy in real-time. This gives my business a significant edge in responding to market changes.
The visual click operations are very helpful! I can see exactly what I'm selecting, and it makes the process much more intuitive.
There are times when the IP rotation feature seems to slow down the scraping process, which can be frustrating when I need results quickly.
I scrape data for academic research and ScrapeStorm simplifies the process immensely. It provides reliable data that I can depend on, which enhances the quality of my studies.