Extract product details from search result URLs with MrScraper and Google Sheets

Description

This n8n template automates the extraction of structured product data from search results pages — using a pre-built list of search/listing URLs stored in Google Sheets as the starting point. Instead of crawling a domain from scratch, this workflow picks up exactly where your research left off: you bring the URLs, it brings the data.

Perfect for price monitoring, product research, competitor analysis, or building any kind of structured product database from e-commerce or directory sites.

How It Works

• Phase 1 – Load Search Page URLs: The workflow reads your pre-prepared list of search or listing page URLs directly from a Google Sheets tab. This gives you full control over which pages get scraped without any crawling step.
• Phase 2 – Scrape Listing Pages: Each URL is looped through the Listing Agent, which navigates the search results page and extracts all individual product/detail page URLs. Duplicates are automatically removed.
• Phase 3 – Scrape Detail Pages: Every detail URL is then processed by the General Agent, which extracts structured fields such as title, price, description, attributes, and more. Nested JSON is automatically flattened into clean, spreadsheet-ready rows.
• Phase 4 – Export & Notify: All scraped records are appended or upserted into a Google Sheets output tab. A Gmail notification is sent on completion with a run summary.

How to Set Up

1. Create 2 scrapers in your MrScraper account:

• Listing Agent Scraper (for extracting detail URLs from search/listing pages)
• General Agent Scraper (for extracting structured data from each detail page)
• Copy the scraperId for each — you'll need these in n8n.

2. Enable AI Scraper API access in your MrScraper account settings.

3. Prepare your Google Sheet with search URLs:

• Create a sheet with a column containing the listing/search page URLs you want to scrape
• This is your input — add as many URLs as needed

4. Add your credentials in n8n:

• MrScraper API token
• Google Sheets OAuth2 (for both input and output sheets)
• Gmail OAuth2

5. Configure the "Get List Search Page" node:

• Connect to the spreadsheet and sheet tab containing your input URLs

6. Configure the Listing Agent node:

• Enter your Listing scraperId
• Adjust maxPages based on how many result pages to scrape per URL

7. Configure the General Agent node:

• Enter your General scraperId

8. Configure the output Google Sheets node:

• Enter your output spreadsheet and sheet tab URL
• Set a unique match key (recommended: url) for upsert to avoid duplicates on re-runs

9. Configure Gmail:

• Set recipient email, subject line, and message body for your run notification

Requirements

• MrScraper account with API access enabled
• Google Sheets (OAuth2 connected) — one sheet for input URLs, one for output data
• Gmail (OAuth2 connected)

Good to Know

• Unlike a full crawl workflow, this template is input-driven — you control exactly which pages are scraped by managing your Google Sheets input list.
• You can run this on a schedule and simply add new URLs to the input sheet whenever you want fresh data scraped.
• The Flatten Object node handles deeply nested JSON automatically, so most sites won't require any manual field mapping.
• Use upsert mode with a unique key in the output sheet to safely re-run the workflow without creating duplicate rows.

Customising This Workflow

• Scheduled monitoring: Replace the manual trigger with a Schedule Trigger and keep your input sheet updated to run automated price or availability checks.
• Multi-category tracking: Organise your input sheet by category or source site and add a Filter node to process specific subsets on each run.
• Add data enrichment: Insert an AI node after Phase 3 to summarise descriptions, classify products, or translate content before saving to Sheets.
• Slack or webhook alerts: Swap the Gmail node for a Slack or webhook notification if you prefer real-time alerts in a different channel.