Automated Website Change Monitoring with Bright Data, GPT-4.1 & Google Workspace

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 scrape_as_markdown 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.

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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

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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