Credit Repair Cloud Automation Workflow

Title: Zapier + Make.com Automation for Credit Repair Cloud (CRC) – Webhook + Data Processing

Description:

I am looking for an experienced automation specialist to build a Zapier → Make.com workflow for Credit Repair Cloud (CRC).

The goal is to keep Zapier minimal (trigger only) and handle ALL processing logic inside Make.com.

Scope of Work:

1. Zapier Setup
- Use CRC trigger (Credit Report Imported)
- Send data via Webhooks by Zapier (POST)
- Deliver structured JSON payload to Make.com webhook

2. Make.com Scenario (CORE FOCUS)
You will build the full processing system inside Make.com, including:

- Custom Webhook (entry point)
- Parsing structured JSON data
- Handling credit reports with MULTIPLE tradelines (accounts)

REQUIRED LOGIC (must be implemented clearly):

- Use Iterator to loop through each tradeline/account
- Apply Filters based on conditions (status, balance, dates, etc.)
- Use Routers to send data into different paths/actions
- Process and structure outputs for downstream actions

3. Data Handling
- Clean and structured JSON (client info, report data, accounts array)
- Ability to handle multiple accounts per report dynamically
- No hardcoding — must be scalable

4. Testing
- End-to-end testing with sample data
- Confirm all accounts are processed correctly
- Ensure no data is skipped or lost

5. Optional (Preferred)
- Basic error handling / retry logic
- Clean, documented scenario for future edits

IMPORTANT:
Please explain in your proposal:
- How you will loop through tradelines (Iterator)
- How you will apply conditions (Filters)
- How you will route outcomes (Router)

If you do not explain this clearly, your proposal will not be considered.

Ideal Candidate:
- Strong experience with Make.com (Integromat)
- Experience with webhooks and JSON processing
- Understands iterators, filters, and routers deeply
- Bonus: Experience with CRM or credit data workflows

Budget: Open to proposals
Timeline: Fast turnaround preferred

Looking for someone who can build a clean, scalable, and reliable system.