Spot Workplace Discrimination Patterns with AI

Automated workflow: Spot Workplace Discrimination Patterns with AI. This workflow integrates 12 different services: stickyNote, httpRequest, code, chainLlm, merge. It contains 49 nodes and follows best practices for error handling and security.

Integrations Used (2)

Workflow Structure (26 nodes)
100%
Manual Trigger
When clicking โ€˜Test workflowโ€™
Set
SET company_name
Set
Define dictionary of demographic keys
Http Request
ScrapingBee Search Glassdoor
Html
Extract company url path
Http Request
ScrapingBee GET company page contents
Html
Extract reviews page url path
Http Request
ScrapingBee GET Glassdoor Reviews Content
Html
Extract Overall Review Summary
Html
Extract Demographics Module
No Op
Extract overall ratings and distribution percentages
No Op
OpenAI Chat Model2
Set
Define contributions to variance
Set
Set variance and std_dev
Code
Calculate P-Scores
Set
Sort Effect Sizes
No Op
Text Analysis of Bias Data
Quick Chart
QuickChart Bar Chart
No Op
OpenAI Chat Model
No Op
Extract demographic distributions
No Op
OpenAI Chat Model1
Merge
Merge
Set
Calculate Z-Scores and Effect Sizes
Code
Format dataset for scatterplot
Set
Specify additional parameters for scatterplot
Http Request
Quickchart Scatterplot
Node Types:
trigger
default
logic
transform
http
code
Requires credentials

Prerequisites

Required Credentials (2)

Http Query Auth

Used by: ScrapingBee Search Glassdoor, ScrapingBee GET company page contents +1 more

Docs

OpenAI

Used by: OpenAI Chat Model1, OpenAI Chat Model2 +1 more

Docs

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~45 min
Score: 75/100
Custom Code
Conditional Logic
5 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json
{
  "id": "vzU9QRZsHcyRsord",
  "meta": {
    "instanceId": "workflow-40ead628",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:43.524000",
    "updatedAt": "2025-09-29T07:07:43.524081",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Spot Workplace Discrimination Patterns with AI",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...

Workflow Details

Nodes
38
Trigger
Manual
Source
community
Added
Sep 29, 2025

Need Help?

Check out the official n8n documentation for detailed guides.

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