Step 2: Connect the Data Source

Define the URL that the scraping agent will use as its input.

1. Open 🛠 Define Scrape Source.
2. Set assignments → url to https://www.theverge.com/reviews.
3. Confirm the flow continues from 🛠 Define Scrape Source to 🤖 Bright Data Crawl Agent.

Step 3: Set Up the AI Crawling and Parsing Stack

Configure the AI agent, tools, and parsers that fetch and structure product launch data.

1. Open 🤖 Bright Data Crawl Agent and set text to =Use Bright Data Web Unlocker to scrape the latest product titles, release dates, and brief summaries from the following url.URL: {{ $json.url }}.
2. Ensure 🤖 Bright Data Crawl Agent uses MCP Tool Connector as the tool and OpenAI Dialogue Engine as the language model.
3. Open MCP Tool Connector and set toolName to scrape_as_markdown, operation to executeTool, and toolParameters to ={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}.
4. Credential Required: Connect your mcpClientApi credentials in MCP Tool Connector.
5. Credential Required: Connect your openAiApi credentials in OpenAI Dialogue Engine.
6. Open Auto-Repair Output Parser and confirm it connects to OpenAI Parser Model and Structured JSON Parser.
7. Credential Required: Connect your openAiApi credentials in OpenAI Parser Model (used by Auto-Repair Output Parser).

Step 4: Parse Items and Send Product Alerts

Transform the AI output into review items and send alerts via email.

1. Open 🧾 Parse Review Items and keep the jsCode as provided to map each review into individual items.
2. Confirm the flow: 🤖 Bright Data Crawl Agent → 🧾 Parse Review Items → 📤 Send Product Alert Email.
3. Open 📤 Send Product Alert Email and set sendTo to [YOUR_EMAIL].
4. Set subject to =🆕 New Product Review: {{ $json.title }}.
5. Set message to =🚀 New Product Launch Spotted!📦 Product: {{ $json.title }}🗓 Release Date: {{ $json.release_date }}📝 Summary: {{ $json.summary }}🔗 Read Full Review → {{ $json.url }} and keep emailType as text.
6. Credential Required: Connect your gmailOAuth2 credentials in 📤 Send Product Alert Email.

Step 5: Log Results to Google Sheets

Append each review item to a tracking spreadsheet after the alert is sent.

1. Open 📊 Append Review Log Sheet and set operation to append.
2. Set documentId to [YOUR_ID] and sheetName to gid=0 (Sheet1).
3. Map columns using the expressions:
   URL → ={{ $('🧾 Parse Review Items').item.json.url }}
   TItle → ={{ $('🧾 Parse Review Items').item.json.title }}
   Summary → ={{ $('🧾 Parse Review Items').item.json.summary }}
   Release date → ={{ $('🧾 Parse Review Items').item.json.release_date }}
4. Credential Required: Connect your googleSheetsOAuth2Api credentials in 📊 Append Review Log Sheet.
5. Ensure the flow continues from 📤 Send Product Alert Email to 📊 Append Review Log Sheet.

Step 6: Test and Activate Your Workflow

Validate that each step executes correctly before turning on the schedule.

1. Click Execute Workflow to run the full chain from ⏰ Morning Schedule Trigger to 📊 Append Review Log Sheet.
2. Confirm that 📤 Send Product Alert Email sends an email with populated {{ $json.title }}, {{ $json.release_date }}, {{ $json.summary }}, and {{ $json.url }}.
3. Check that 📊 Append Review Log Sheet adds a new row with the mapped fields.
4. If everything looks correct, toggle the workflow Active to enable the daily schedule.