diff --git a/docs/assets/project_overview_diagram.fig b/docs/assets/project_overview_diagram.fig new file mode 100644 index 00000000..c5fa03d4 Binary files /dev/null and b/docs/assets/project_overview_diagram.fig differ diff --git a/docs/assets/project_overview_diagram.png b/docs/assets/project_overview_diagram.png new file mode 100644 index 00000000..cf4d2a18 Binary files /dev/null and b/docs/assets/project_overview_diagram.png differ diff --git a/docs/source/introduction/overview.rst b/docs/source/introduction/overview.rst index 46ed21a5..43901011 100644 --- a/docs/source/introduction/overview.rst +++ b/docs/source/introduction/overview.rst @@ -18,3 +18,14 @@ Flexibility and Adaptability ^^^^^^^^^^^^^^^^^^^^^^^^^^^ Traditional web scraping tools often rely on fixed patterns or manual configuration to extract data from web pages. ScrapegraphAI, leveraging the power of LLMs, adapts to changes in website structures, reducing the need for constant developer intervention. This flexibility ensures that scrapers remain functional even when website layouts change. + + +Overview +======== +With ScrapegraphAI you first construct a pipeline of steps you want to execute by combining nodes into a graph. +Executing the graph takes care of all the steps that are often part of scraping: fetching, parsing etc... +Finally the scraped and processed data gets fed to an LLM which generates a response. + +.. image:: ../../assets/project_overview_diagram.png + :align: center + :alt: ScrapegraphAI Overview \ No newline at end of file