> ## Documentation Index > Fetch the complete documentation index at: https://docs.unstructured.io/llms.txt > Use this file to discover all available pages before exploring further. # Extract tables as HTML ## Task You want to get, save, or show the contents of elements that are represented as HTML, such as tables that are embedded in a PDF document. ## Approach Extract the contents of an element's `text_as_html` JSON object, which is nested inside of its parent `metadata` object. ## To run this example You will need a document that is one of the document types that can output the `text_as_html` JSON object. For the list of applicable document types, see the entries in the table at the beginning of [Partitioning](/open-source/core-functionality/partitioning) where "Table Support" is "Yes." This example uses a PDF file with an embedded table. ## Code For the [Unstructured Ingest Python library](/open-source/ingestion/python-ingest), you can use the standard Python [json.load](https://docs.python.org/3/library/json.html#json.load) function to load into a Python dictionary the contents of a JSON file that the Ingest Python library outputs after the processing is complete. ```python Python theme={null} import json, os, webbrowser def get_tables_as_html( input_json_file_path: str, output_html_dir_path: str ): with open(input_json_file_path, 'r') as file: file_elements = json.load(file) # Provide some minimal CSS for better table readability. table_css = "" for element in file_elements: if "text_as_html" in element["metadata"]: # Surround the element's HTML with basic and tags, and add the minimal CSS. html_string = f"{table_css}{element["metadata"]["text_as_html"]}" # Save the element's HTML to a local file. save_path = f"{output_html_dir_path}/{element["element_id"]}.html" file = open(save_path, 'w') file.write(html_string) file.close() # View the locally saved file in the local default web browser. webbrowser.open_new(f"file:///{os.getcwd()}/{save_path}") if __name__ == "__main__": # Source: https://github.com/Unstructured-IO/unstructured-ingest/blob/main/example-docs/pdf/embedded-images-tables.pdf # Specify where to get the local file, relative to this .py file, and # where to store the retrieved HTML, relative to this .py file. get_tables_as_html( input_json_file_path="local-ingest-output/embedded-images-tables.json", output_html_dir_path="local-ingest-output/html/" ) ```