Content Classification and Intent Tagging with Web Scraper and Google Sheets - Automated Workflow

Overview

This workflow automates the process of scraping website content, classifying it by category, and tagging intent using the Web Scraper integration. It organizes the enriched data directly into Google Sheets, enabling streamlined content analysis and strategic decision-making.

How It Works

1. The Web Scraper node extracts raw content from specified websites.

2. The Content Classifier node categorizes the scraped content into predefined topics.

3. The Intent Tagger node assigns intent labels based on content context.

4. The Google Sheets node organizes and stores the categorized and tagged data for easy access and analysis.

Use Cases

• Digital marketing teams analyzing competitor website content for targeted campaigns.

• Content strategists organizing large volumes of web data by topic and user intent.

• Market researchers compiling and classifying online information for trend analysis.

Setup Requirements

• OAuth authentication for Web Scraper to access target websites.

• Google Sheets API credentials for data storage.

• URLs of the websites to scrape.

• Make a copy of this Google Sheets template: https://docs.google.com/spreadsheets/d/1QoxJXvpr75MZlM2ePkiX4ZhopomGcds2tMOgl_-Twg0/edit?gid=0#gid=0

• Destination Google Sheets URL for output data.