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Parsera

parsera

Parsera is a lightweight Python library for scraping websites using large language models (LLMs).

Acciones
2
Triggers
0
Autenticación
OAuth gestionado
No
Información técnica: el detalle de parámetros, schemas y triggers de esta página está pensado para equipos de integración. Si solo necesitas saber si tu herramienta favorita está disponible, basta con ver la lista de acciones.

Acciones disponibles (2)

Cada acción es una operación que el agente puede ejecutar contra este conector. Haz clic en una acción para ver sus parámetros.

Extract MarkdownPARSERA_EXTRACT_MARKDOWNAcción

Tool to extract markdown content from a file or url.

Parámetros de entrada

  • urlstring

    URL of the page to extract markdown from.

  • file_pathstring

    Local path to the document file to be uploaded for extraction.

Parámetros de salida

  • dataobjectObligatorio

    Data from the action execution

  • errorstring

    Error if any occurred during the execution of the action

  • successfulbooleanObligatorio

    Whether or not the action execution was successful or not

Parse Content with ParseraPARSERA_PARSE_CONTENTAcción

Tool to parse and extract structured data from provided html or text. use after obtaining raw content.

Parámetros de entrada

  • promptstring

    Prompt instructions for parsing.

  • contentstringObligatorio

    The raw content or document to be parsed.

  • optionsobject

    Additional parsing options as a JSON object.

  • attributesobject

    Attributes or instructions to guide parsing (e.g., filter by invoice type).

  • content_typestringObligatorio

    The MIME type or type identifier of the content (e.g., 'text/html', 'application/pdf').

  • output_formatstringenum

    Desired format of the parsed output.

    jsonxml

Parámetros de salida

  • dataobjectObligatorio

    Data from the action execution

  • errorstring

    Error if any occurred during the execution of the action

  • successfulbooleanObligatorio

    Whether or not the action execution was successful or not