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Bardeen AI's Data Crawling Technology Enables Intelligent Structuring of Web Information

2025-09-05 1.6 K

Bardeen AI's web data collection solution uses advanced visual localization technology to break through the limitations of traditional crawler tools. Its technical implementation is based on the elemental feature recognition algorithm. Users only need to point and click the target data area on the webpage, and the system can automatically establish the DOM tree mapping relationship and accurately extract semi-structured data such as tables and lists. The function is specially designed with professional mechanisms such as intelligent page flip detection, AJAX request simulation, anti-crawler evasion, etc. It supports complex scenarios such as Gmail contact export and LinkedIn profile collection. Test data show that compared with traditional crawler tools, the program shortens the data collection and configuration time from an average of 45 minutes to 3 minutes, and reduces the error rate by 82%. The collection results can be directly docked to collaboration platforms such as Notion and Airtable, forming a complete data acquisition-organization-application closed loop.

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