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This project is a next-generation web scraping platform that allows users to define scraping workflows visually without writing code.
spider-flow is a powerful, no-code web scraping platform. It empowers users to build, execute, and manage web scraping tasks through an intuitive graphical interface, democratizing access to data collection from the web.
Traditional web scraping requires programming skills, making it inaccessible to non-developers and time-consuming for simple tasks. This platform eliminates the need for coding.
Design complex scraping tasks using a drag-and-drop visual interface.
Schedule scraping jobs to run automatically at specified intervals.
Support for exporting collected data in various formats like CSV, JSON, Excel, etc.
spider-flow can be utilized across a wide range of scenarios where extracting information from websites is required, including but not limited to:
Automatically collect pricing, product details, and customer reviews from e-commerce sites for competitive analysis.
Gain insights into market trends and competitor strategies without manual data entry.
Aggregate news articles, blog posts, or research papers from various online sources based on keywords or topics.
Efficiently build content libraries or perform large-scale text analysis.
Extract information like contact details, business profiles, or job listings from directories and professional networking sites.
Automate the process of building targeted lead lists or datasets.
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