Scrapegraph-ai/docs

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ScrapGraphAI Roadmap

Short-Term Goals

• Improve the documentation (ReadTheDocs)

  • Issue #102

• Create tutorials for the library

Medium-Term Goals

• Node for handling API requests

• Make scraping more deterministic

  • Create DOM tree of the website
  • HTML tag text embeddings with tags metadata
  • Study tree forks from root node
  • How do we use the tags parameters?

• Create scraping folder with report

  • Folder contains .scrape files, DOM tree files, report
  • Report could be a HTML page with scraping speed, costs, LLM info, scraped content and DOM tree visualization
  • We can use pyecharts with R-markdown

• Scrape multiple pages of the same website

  • Create new node that instantiate multiple graphs at the same time
  • Make graphs run in parallel
  • Scrape only relevant URLs from user prompt
  • Use the multi dimensional DOM tree of the website for retrieval

• Crawler graph

  • Scrape all the URLs with the same domain in all the pages
  • Build many DOM trees and link them together
  • Save the multi dimensional tree in a file

• Compare two DOM trees to assess the similarity

  • Save the DOM tree of the scraped website in a file as a sort of cache to be used to compare with future website structure
  • Create similarity metrics with multiple DOM trees (overall tree? only relevant tags structure?)

• Nodes for handling authentication

  • Use Selenium or Playwright to handle authentication
  • Passes the cookies to the other nodes

• Nodes that attaches to an open browser

  • Use Selenium or Playwright to attach to an open browser
  • Navigate inside the browser and scrape the content

• Nodes for taking screenshots and understanding the page layout

  • Use Selenium or Playwright to take screenshots
  • Use LLM to asses if it is a block-like page, paragraph-like page, etc.
  • Issue #88

Long-Term Goals

• Automatic generation of scraping pipelines from a given prompt

• Create API for the library