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Monitor competitor pricing with Firecrawl, Anthropic, Airtable and Slack

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1. Workflow Overview

Quick overview This workflow runs every 6 hours to monitor competitor product pages stored in Airtable, scrape current price and stock with Firecrawl, extract structured pricing with Anthropic, sen...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.airtable, n8n-nodes-base.splitinbatches, n8n-nodes-base.code, n8n-nodes-base.switch, n8n-nodes-base.slack, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Mychel Garzon.

Original n8n.io source

1.1 Workflow description

Title
Monitor competitor pricing with Firecrawl, Anthropic, Airtable and Slack
Workflow name
Monitor competitor pricing with Firecrawl, Anthropic, Airtable and Slack

Quick overview

This workflow runs every 6 hours to monitor competitor product pages stored in Airtable, scrape current price and stock with Firecrawl, extract structured pricing with Anthropic, send priority-based alerts to Slack, and log changes to Google Sheets while syncing the latest values back to Airtable.

How it works

  1. A Schedule trigger fires every 6 hours and fetches your full competitor list from Airtable.
  2. Each record is processed one at a time through a SplitInBatches loop.
  3. Firecrawl scrapes the live product page and returns the content as Markdown.
  4. The Anthropic API extracts structured pricing data (price, currency, stock status) using tool use. A built-in deduplication check skips items where nothing has changed since the last run.
  5. Each item is assigned an alert priority — Critical, High, Medium, Info, or Skip — based on the price delta and stock change thresholds.
  6. Critical and High events trigger an AI-generated countermeasure strategy followed by an immediate Slack alert. Medium events get a lighter Slack notification. Info items pass through silently. Skipped items return directly to the loop.
  7. All actionable events update the Airtable record with the latest price and stock status, and append a timestamped row to Google Sheets for historical trend tracking.

Setup

  1. Connect credentials for Airtable, Firecrawl, Anthropic, Slack, and Google Sheets.
  2. Replace the Airtable Base ID and Table ID with your own and ensure records include fields for Competitor Name, Product Name, Product URL, Last Price, and In Stock.
  3. Set the Slack channel ID in both Slack message steps.
  4. Set the Google Sheets document ID and sheet tab name used for the historical append log.

Requirements

  • Firecrawl API account (for product page scraping)
  • Anthropic API key with access to claude-3-5-sonnet-20241022
  • Airtable base with the required competitor table and fields
  • Slack workspace with a channel configured for alerts
  • Google Sheets document with a pre-created tab for historical logging

Customization

  • Adjust the schedule interval in the Every 6 Hours node to scan more or less frequently.
  • Modify the priority thresholds in Extract Price & Build Delta — currently Critical is ≤ -15%, High is ≤ -5%.
  • Update the Slack message templates in both Slack nodes to match your team's alert format.
  • Extend the Google Sheets columns to capture additional fields such as currency or stock count.

Additional info

  • The deduplication logic compares both price and stock status against the previous run. If neither has changed, the item is skipped entirely and no write operations occur.
  • If Firecrawl fails to return content or the Anthropic API returns no valid price, the item is marked _skip and passed back to the loop without crashing the workflow.
  • The workflow does not include an error trigger node in this version. For production use, consider adding one to catch and log node-level failures.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Every 6 Hours

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - Get Competitor List

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2

Block 3 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 4 - Extract Price & Build Delta

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 5 - Priority Switch Router

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.1

Block 6 - Generate Strategy

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 7 - Immediate Slack Notification

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.2

Block 8 - Standard Slack Log

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.2

Block 9 - Info Log Only

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 10 - Drop Skipped Item

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 11 - Synchronize Active State

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2

Block 12 - Append Historical Sheet Log

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.5

Block 13 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Scrape Product Page

Type / Role
@mendable/n8n-nodes-firecrawl.firecrawl - firecrawl
Config choices
Version 1

3. Summary Table

Workflow Monitor competitor pricing with Firecrawl, Anthropic, Airtable and Slack
Complexity advanced
Nodes 19
Categories Market Research, AI Summarization
Author Mychel Garzon
Published 21 May 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/15893/15893.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Monitor competitor pricing with Firecrawl, Anthropic, Airtable and Slack do?

Quick overview This workflow runs every 6 hours to monitor competitor product pages stored in Airtable, scrape current price and stock with Firecrawl, extract structured pricing with Anthropic, sen...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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, AI Summarization use case.