Cloud Natural Language API Connector Overview Stay organized with collections Save and categorize content based on your preferences.

The Workflows connector defines the built-in functions that can be used to access other Google Cloud products within a workflow.

This page provides an overview of the individual connector. There is no need to import or load connector libraries in a workflowconnectors work out of the box when used in a call step.

Cloud Natural Language API

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations, to developers. To learn more, see the Cloud Natural Language API documentation.

Cloud Natural Language connector sample

YAML

# This workflow demonstrates how to use the Cloud Language connector:
# Analyze and classify text samples and log the results
# Expected output: "SUCCESS"
- init:
    assign:
      - docType: "PLAIN_TEXT"
- analyze_entities:
    call: googleapis.language.v1.documents.analyzeEntities
    args:
      body:
        document:
          type: ${docType}
          language: "en"
          content: "Eiffel Tower"
        encodingType: "UTF8"
    result: response_analyze
- log_analyze_result:
    call: sys.log
    args:
      data: ${response_analyze}
      severity: "INFO"
- classify_text:
    call: googleapis.language.v1.documents.analyzeSentiment
    args:
      body:
        document:
          type: ${docType}
          language: "en"
          content: "I love Workflows!"
        encodingType: "UTF8"
    result: response_classify
- log_classify_result:
    call: sys.log
    args:
      data: ${response_classify}
      severity: "INFO"
- the_end:
    return: "SUCCESS"

JSON

[
  {
    "init": {
      "assign": [
        {
          "docType": "PLAIN_TEXT"
        }
      ]
    }
  },
  {
    "analyze_entities": {
      "call": "googleapis.language.v1.documents.analyzeEntities",
      "args": {
        "body": {
          "document": {
            "type": "${docType}",
            "language": "en",
            "content": "Eiffel Tower"
          },
          "encodingType": "UTF8"
        }
      },
      "result": "response_analyze"
    }
  },
  {
    "log_analyze_result": {
      "call": "sys.log",
      "args": {
        "data": "${response_analyze}",
        "severity": "INFO"
      }
    }
  },
  {
    "classify_text": {
      "call": "googleapis.language.v1.documents.analyzeSentiment",
      "args": {
        "body": {
          "document": {
            "type": "${docType}",
            "language": "en",
            "content": "I love Workflows!"
          },
          "encodingType": "UTF8"
        }
      },
      "result": "response_classify"
    }
  },
  {
    "log_classify_result": {
      "call": "sys.log",
      "args": {
        "data": "${response_classify}",
        "severity": "INFO"
      }
    }
  },
  {
    "the_end": {
      "return": "SUCCESS"
    }
  }
]

Module: googleapis.language.v1.documents

Functions
`analyzeEntities`	Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.
`analyzeEntitySentiment`	Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
`analyzeSentiment`	Analyzes the sentiment of the provided text.
`analyzeSyntax`	Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
`annotateText`	A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.
`classifyText`	Classifies a document into categories.

Module: googleapis.language.v1beta2.documents

Functions
`analyzeEntities`	Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.
`analyzeEntitySentiment`	Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
`analyzeSentiment`	Analyzes the sentiment of the provided text.
`analyzeSyntax`	Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
`annotateText`	A convenience method that provides all syntax, sentiment, entity, and classification features in one call.
`classifyText`	Classifies a document into categories.

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Last updated 2026-08-11 UTC.

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Cloud Natural Language API Connector Overview Stay organized with collections Save and categorize content based on your preferences.