Advice building model for web elements/ browsing specific site

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  • web2text

    Source code for the paper "Web2Text: Deep Structured Boilerplate Removal", full paper @ ECIR'18

    • The only paper and code I’m aware of is in Scala and called https://github.com/dalab/web2text. They originally used a CNN. I think their training data was way to small.

  • pix2struct

    • It is related to document AI. Recently google has released a model pix2struct. Some of the tasks they considered and datasets they used include:

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • blackmaria

    Python package for webscraping in Natural language

    • I have also seen several tools that try to use LLM to do web scraping. I didn't look into the details. https://www.reddit.com/r/MachineLearning/comments/12v0vda/p_i_built_a_tool_that_autogenerates_scrapers_for/ https://github.com/Smyja/blackmaria

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