Note: This template is for self-hosted n8n instances only You can use this workflow to fully automate website content monitoring and change detection on a weekly basis—even when there’s no native node for scraping or structured comparison. It uses an AI-powered scraper, structured data extraction, and integrates Google Sheets, Drive, Docs, and email for seamless tracking and reporting. Main Use Cases - Monitor and report changes to websites (e.g., pricing, content, headings, FAQs) over time - Automate web audits, compliance checks, or competitive benchmarking - Generate detailed change logs and share them automatically with stakeholders How it works The workflow operates as a scheduled process, organized into these stages: 1. Initialization & Configuration - Triggers weekly (or manually) and initializes key variables: Google Drive folder, spreadsheet IDs, notification emails, and test mode. 2. Input Retrieval - Reads the list of URLs to be monitored from a Google Sheet. 3. Web Scraping & Structuring - For each URL, an AI agent uses Bright Data's scrapeasmarkdown tool to extract the full web page content. - The workflow then parses this content into a well-structured JSON, capturing elements like metadata, headings, pricing, navigation, calls to action, contacts, banners, and FAQs. 4. Saving Current Week’s Results - The structured JSON is saved to Google Drive as the current week’s snapshot for each monitored URL. - The Google Sheet is updated with file references for traceability. 5. Comparison with Previous Snapshot - If a prior week’s file exists, it is downloaded and parsed. - The workflow compares the current and previous JSON snapshots, detecting and categorizing all substantive content changes (e.g., new/updated plans, FAQ edits, contact info modifications). - Optionally, in test mode, mock changes are introduced for demo and validation purposes. 6. Change Report Generation & Delivery - A rich Markdown-formatted changelog is generated, summarizing the detected changes, and then converted to HTML. - The changelog is uploaded to Google Docs and linked back to the tracking sheet. - An HTML email with the full report and relevant links is sent to recipients. --- Summary Flow: 1. Schedule/workflow trigger → initialize variables 2. Read URL list from spreadsheet 3. For each URL: - Scrape & structure as JSON - Save to Drive, update tracking sheet - If previous week exists: - Download & parse previous - Compare, generate changelog - Convert to HTML, save to Docs, update Sheet - Email results --- Benefits: - Fully automated website change tracking with end-to-end reporting - Adaptable and extensible for any set of monitored pages and content types - Easy integration with Google Workspace tools for collaboration and storage - Minimal manual intervention required after initial setup
