Extract named entities from web pages with Google Natural Language API

Who is this for?

- Content strategists analyzing web page semantic content - SEO professionals conducting entity-based analysis - Data analysts extracting structured data from web pages - Marketers researching competitor content strategies - Researchers organizing and categorizing web content - Anyone needing to automatically extract entities from web pages

What problem is this workflow solving? Manually identifying and categorizing entities (people, organizations, locations, etc.) on web pages is time-consuming and error-prone. This workflow solves this challenge by:

- Automating the extraction of named entities from any web page - Leveraging Google's powerful Natural Language API for accurate entity recognition - Processing web pages through a simple webhook interface - Providing structured entity data that can be used for analysis or further processing - Eliminating hours of manual content analysis and categorization

What this workflow does This workflow creates an automated pipeline between a webhook and Google's Natural Language API to:

1. Receive a URL through a webhook endpoint 2. Fetch the HTML content from the specified URL 3. Clean and prepare the HTML for processing 4. Submit the HTML to Google's Natural Language API for entity analysis 5. Return the structured entity data through the webhook response 6. Extract entities including people, organizations, locations, and more with their salience scores

Setup Prerequisites: - An n8n instance (cloud or self-hosted) - Google Cloud Platform account with Natural Language API enabled - Google API key with access to the Natural Language API

Google Cloud Setup: