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Analyze Reddit competitor sentiment with Bright Data and GPT-5.4

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1. Workflow Overview

Analyze Reddit sentiment around competitor brands using Bright Data URL based scraping and GPT 5.4. This workflow Reads competitor post URLs from Google Sheets, scrapes Reddit posts via URL using B...

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.googlesheets, n8n-nodes-base.httprequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.if, n8n-nodes-base.gmail

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Analyze Reddit competitor sentiment with Bright Data and GPT-5.4
Workflow name
Analyze Reddit competitor sentiment with Bright Data and GPT-5.4

Analyze Reddit sentiment around competitor brands using Bright Data URL-based scraping and GPT-5.4.

This workflow Reads competitor post URLs from Google Sheets, scrapes Reddit posts via URL using Bright Data's Reddit Posts API, and uses GPT-5.4 to map sentiment distribution. The AI calculates positive, neutral, and negative sentiment percentages, extracts top complaints and praises, identifies vulnerability areas, and scores the competitive opportunity (0-100). High-opportunity brands trigger alerts to the strategy team.

How it works:

  1. Weekly schedule trigger runs on Monday at 8 AM.
  2. Reads the 'competitor_brands' sheet (columns: brand_name, url, industry).
  3. Sends each URL to Bright Data for Reddit post discovery.
  4. Validates the Bright Data API response.
  5. GPT-5.4 analyzes sentiment distribution and identifies competitive opportunities.
  6. Parses AI output and merges with original brand data.
  7. Filters by AI confidence (>= 0.7).
  8. Brands with competitive_opportunity_score >= 70 trigger email alerts and go to 'high_opportunity_brands'.
  9. Lower-scoring brands go to 'competitor_sentiment'.
  10. Low-confidence results go to 'low_confidence_sentiment'.

Setup:

  • Create a Google Sheet with a 'competitor_brands' tab containing columns: brand_name, url, industry.
  • Create output tabs: high_opportunity_brands, competitor_sentiment, low_confidence_sentiment.
  • Configure Bright Data API credentials as HTTP Header Auth (Bearer token).
  • Connect OpenAI, Google Sheets, and Gmail OAuth2 credentials.

Requirements:

  • Bright Data API account (~$0.003-0.005 per URL scrape).
  • OpenAI API account (GPT-5.4 costs ~$0.003-0.008 per call).
  • Google Sheets OAuth2 credentials.
  • Gmail OAuth2 credentials.

Notes:

  • Track competitive_opportunity_score over time to spot widening vulnerabilities.
  • Use the vulnerability_areas field to inform your product positioning and messaging.
  • Combine with your own product monitoring (Template 21) for a complete competitive picture.

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 - Weekly Competitor Sentiment Scan

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

Block 2 - Read Competitor Brands Sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 3 - Scrape Reddit Posts

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 4 - Validate BD Response

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

Block 5 - Analyze Competitor Sentiment

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 6 - GPT-5.4 Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1

Block 7 - Parse AI Output

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

Block 8 - IF Confidence >= 0.7

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

Block 9 - Email Opportunity Alert

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.1

Block 10 - Append High Opportunity Brands

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 11 - Append Competitor Sentiment

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 12 - Append Low Confidence

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 13 - Calculate Vulnerability Index

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

Block 14 - Route by Score Level

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.2

Block 15 - Sticky Note

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

Block 16 - Sticky Note1

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

Block 17 - Sticky Note2

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

Block 18 - Sticky Note3

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

3. Summary Table

Workflow Analyze Reddit competitor sentiment with Bright Data and GPT-5.4
Complexity advanced
Nodes 18
Categories Market Research, AI Summarization
Author Yaron Been
Published 12 Mar 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/14015/14015.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 Analyze Reddit competitor sentiment with Bright Data and GPT-5.4 do?

Analyze Reddit sentiment around competitor brands using Bright Data URL based scraping and GPT 5.4. This workflow Reads competitor post URLs from Google Sheets, scrapes Reddit posts via URL using B...

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.