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Google Page Entity Extraction Template

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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.

Workflow Overview

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.

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.

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.

  1. 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.

Statistics

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Quick Info

Categories
Webhook Triggered
Medium Workflow
Complexity
medium

Tags

medium
webhook
respondtowebhook
api
integration
sticky note
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