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_markdowntool 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:
- Schedule/workflow trigger → initialize variables
- Read URL list from spreadsheet
- 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
Automated Website Change Monitoring with Bright Data, GPT-4, and Google Workspace
This n8n workflow provides a robust solution for monitoring website changes, analyzing them with AI, and notifying relevant stakeholders. It leverages Bright Data for web scraping, OpenAI's GPT-4 for content analysis, and Google Workspace (Sheets, Drive, Gmail, Docs) for data management and communication.
What it does
This workflow automates the following steps:
- Triggers on a Schedule: The workflow starts at predefined intervals to check for website changes.
- Scrapes Website Data: It uses a Bright Data collector to scrape the content of specified websites.
- Processes Scraped Data: The scraped data is transformed and prepared for analysis.
- Checks for Changes: It compares the newly scraped content with previously stored versions to identify significant changes.
- Analyzes Changes with AI: If changes are detected, the workflow utilizes an OpenAI GPT-4 chat model to summarize and analyze the nature of the changes.
- Generates Reports: The AI-generated analysis is formatted into a human-readable report.
- Stores Data in Google Sheets: Detailed change logs and analysis results are recorded in a Google Sheet.
- Creates Google Docs: Comprehensive reports are generated and stored as Google Docs in Google Drive.
- Sends Email Notifications: Stakeholders are notified via Gmail about detected changes and provided with a summary and a link to the detailed report.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Bright Data Account: With a configured web scraping collector.
- OpenAI API Key: For accessing GPT-4.
- Google Workspace Account:
- Google Sheets: To store website change logs.
- Google Drive: To store generated reports.
- Gmail: For sending email notifications.
- Google Docs: For creating detailed reports.
- n8n Credentials: Configured for Bright Data, OpenAI, and Google (OAuth 2.0 for Google services).
Setup/Usage
- Import the Workflow: Download the JSON provided and import it into your n8n instance.
- Configure Credentials:
- Set up your Bright Data credential.
- Set up your OpenAI credential with your API key.
- Set up your Google OAuth 2.0 credential, ensuring it has access to Google Sheets, Drive, Docs, and Gmail.
- Customize Nodes:
- Schedule Trigger (839): Adjust the schedule to your desired monitoring frequency.
- Bright Data Collector: Configure with the specific websites you want to monitor and the collector ID.
- Google Sheets (18): Specify the Spreadsheet ID and sheet name for logging changes.
- OpenAI Chat Model (1153): Customize the prompt for GPT-4 to refine the change analysis.
- Google Docs (495): Configure the parent folder in Google Drive where reports should be saved.
- Gmail (356): Set the recipient email addresses, subject line, and email body content.
- Activate the Workflow: Once configured, activate the workflow to start monitoring.
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