SpiderG
SpiderG is an open-source web scraping and data extraction tool. It allows users to easily scrape data from websites without coding through a graphical interface. Key features include point-and-click scraping, proxies androtations, and exporting data to CSV or Excel.
opensource
web-scraping
data-extraction
graphical-interface
pointandclick-scraping
proxies
rotations
export-to-csv
export-to-excel
SpiderG: Open-Source Web Scraping Tool
Find the best web scraping software on Sugggest, including SpiderG, with features like point-and-click scraping, proxies and rotations, and data export to CSV or Excel.
What is SpiderG?
SpiderG is an open-source, graphical web scraping and data extraction tool for Windows, Mac, and Linux. It provides an easy way for anyone to scrape data from websites without needing to write any code.
Some key features of SpiderG include:
- Point-and-click scraping interface - Easily select elements on a web page to scrape text, images, tables, and more without coding.
- Proxies and rotations - SpiderG supports using proxies and randomizes elements like user agents and headers to avoid bot detection.
- Scrape JavaScript pages - Dynamic pages loaded by JavaScript are supported for scraping.
- Export formats - Scraped data can be exported as CSV, Excel, JSON etc for further analysis.
- Extensible - Developers can extend SpiderG by writing plugins in Python to add functionality.
Overall, SpiderG aims to empower non-coders to quickly scrape data from websites for business analysis, research, data science applications. Its intuitive interface and not needing to know a programming language lowers the barrier to web scraping.
SpiderG Features
Features
- Point-and-click web scraping interface
- Proxies and rotations
- Data extraction from websites
- Export data to CSV/Excel
- Web crawler
- Visual sitemap generator
- Browser automation
Pricing
- Open Source
- Free
Pros
No coding required
Easy to use graphical interface
Powerful scraping capabilities
Open source and free
Good for beginners
Cons
Limited to browser automation
Not as customizable as coding a scraper
Steep learning curve for advanced features
Potential legal issues with scraping
Official Links
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