Block 1 - Load Competitor URLs
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.3
This workflow is provided as-is. Please review and test before using in production.
How it Works This workflow automates competitive price intelligence using Bright Data's enterprise web scraping API. On a scheduled basis (default: daily at 9 AM), the sys...
n8n-nodes-base.set, n8n-nodes-base.splitinbatches, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-base.if, n8n-nodes-base.slack
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Daniel Shashko.
Original n8n.io sourceThis workflow automates competitive price intelligence using Bright Data's enterprise web scraping API. On a scheduled basis (default: daily at 9 AM), the system loops through configured competitor product URLs, triggers Bright Data's web scraper to extract real-time pricing data from each site, and intelligently compares competitor prices against your current pricing.
The workflow handles the full scraping lifecycle: it sends scraping requests to Bright Data, waits for completion, fetches the scraped product data, and parses prices from various formats and website structures. All pricing data is automatically logged to Google Sheets for historical tracking and trend analysis. When a competitor's price drops below yours by more than the configured threshold (e.g., 10% cheaper), the system immediately sends detailed alerts via Slack and email to your pricing team with actionable intelligence.
At the end of each monitoring run, the workflow generates a comprehensive daily summary report that aggregates all competitor data, calculates average price differences, identifies the lowest and highest competitors, and provides a complete competitive landscape view. This eliminates hours of manual competitor research and enables data-driven pricing decisions in real-time.
Setup time: Approx. 30-40 minutes (Bright Data configuration, credential setup, competitor URL configuration)
Requirements:
Sign up for Bright Data and create a web scraping dataset (use e-commerce template for product data)
Obtain your Bright Data API token and dataset ID from the dashboard
Configure these nodes:
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.
| Workflow | Competitive price monitoring & alerts with Bright Data, Sheets & Slack |
|---|---|
| Complexity | advanced |
| Nodes | 29 |
| Categories | Market Research |
| Author | Daniel Shashko |
| Published | 19 Oct 2025 |
Use the JSON export at /data/workflows/9903/9903.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How it Works This workflow automates competitive price intelligence using Bright Data's enterprise web scraping API. On a scheduled basis (default: daily at 9 AM), the sys...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research use case.