Google Page Entity Extraction Template

Google Page Entity Extraction Template automates the extraction of named entities from web pages using Google's Natural Language API. By sending a URL to the webhook, users receive structured data on entities like people, organizations, and locations, complete with importance scores and metadata. This workflow streamlines data analysis, enhancing content understanding and enabling better insights from web resources.

7/8/2025
6 nodes
Medium
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Categories:
Webhook TriggeredMedium Workflow
Integrations:
RespondToWebhookSticky Note

Target Audience

This workflow is ideal for:
- Content Creators: Individuals or teams who want to extract entities from web pages to enhance their content with relevant information.
- Data Analysts: Professionals looking to analyze web page content for insights on entities like people, organizations, and locations.
- Developers: Those who need to integrate entity extraction capabilities into their applications or services using Google’s Natural Language API.
- Researchers: Academics or industry researchers who require automated tools to gather and analyze data from various web pages.

Problem Solved

This workflow addresses the challenge of extracting named entities (such as people, organizations, and locations) from web pages. Manually identifying and categorizing entities can be time-consuming and prone to error. By automating this process through Google’s Natural Language API, users can efficiently gather structured entity data, saving time and ensuring accuracy.

Workflow Steps

  • Webhook Trigger: The workflow begins when a POST request is sent to the webhook URL with a JSON body containing the URL to analyze.
    2. Fetch Page Contents: The workflow retrieves the HTML content of the specified web page using the provided URL.
    3. Prepare Data for API: The HTML content is cleaned and prepared for the API request, ensuring it is within the size limit of 100,000 characters.
    4. Entity Analysis: The cleaned HTML is sent to Google’s Natural Language API, which analyzes the text and identifies entities.
    5. Respond with Results: Finally, the workflow responds with the detected entities, including their types and salience scores, providing structured data for further use.

    • Customization Guide

    To customize this workflow:
    - API Key: Replace YOUR-GOOGLE-API-KEY with your actual Google Cloud API key to enable the Natural Language API.
    - Webhook URL: After activating the workflow, use the generated webhook URL as your endpoint for sending requests.
    - Input Format: Adjust the JSON body format if you need to include additional parameters or modify the structure.
    - Entity Analysis: You can change the entity analysis settings in the Google API request to focus on specific entity types or adjust the response handling as needed.