Automatically Scrape Make.com Job Board with GPT-5-mini Summaries & Email Digest

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Built by Julian Kaiser Julian Kaiser
Created on June 13, 2026

Description

Automatically Scrape Make.com Job Board with GPT-5-mini Summaries & Email Digest

Overview

Who is this for?
Make.com consultants, automation specialists, and freelancers who want to catch new client opportunities without manually checking the forum.

What problem does it solve?
Scrolling through forum posts to find jobs wastes time. This automation finds new postings, uses AI to summarize what clients need, and emails you a clean digest.

How it works:
Runs on schedule → scrapes the Make.com professional services forum → filters jobs from last 7 days → AI summarizes each posting → sends formatted email digest.

Use Cases

Freelancers: Get daily job alerts without forum browsing, respond to opportunities faster
Agencies: Keep sales teams informed of potential clients needing Make.com expertise
Job Seekers: Track contract and full-time positions requiring Make.com skills

Detailed Workflow

Scraping: HTTP module pulls HTML from the Make.com forum job board

Parsing: Extracts job titles, dates, authors, and thread links

Filtering: Only jobs posted within last 7 days pass through (configurable)

AI Processing: GPT-5-mini analyzes each post to extract:
Project type
Key requirements
Complexity level
Budget/timeline (if mentioned)

Email Generation: Aggregates summaries into organized HTML email with direct links

Delivery: Sends via SMTP to your inbox

Setup Steps

Time: ~10 minutes

Requirements:
OpenRouter API key (get one here)
SMTP credentials (Gmail, SendGrid, etc.)

Steps:

Import template
Add OpenRouter API key in "OpenRouter Chat Model" node
Configure SMTP settings in "Send email" node
Update recipient email address
Set schedule (recommended: daily at 8 AM)
Run test to verify

Customization Tips

Change date range: Modify filter from 7 days to X days: {{now - X days}}

Keyword filtering: Add filter module to only show jobs mentioning "API", "Shopify", etc.

AI detail level: Edit prompt for shorter/longer summaries

Multiple recipients: Add comma-separated emails in Send Email node

Different AI model: Switch to Gemini or Claude in OpenRouter settings

Team notifications: Add Slack/Discord webhook instead of email

Nodes Used (7)

Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
Code
n8n-nodes-base.code
HTML
n8n-nodes-base.html
HTTP Request
n8n-nodes-base.httpRequest
OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter
Send Email
n8n-nodes-base.emailSend
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured