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Title: Zapier + [login to view URL] Automation for Credit Repair Cloud (CRC) – Webhook + Data Processing Description: I am looking for an experienced automation specialist to build a Zapier → [login to view URL] 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 [login to view URL] webhook 2. [login to view URL] Scenario (CORE FOCUS) You will build the full processing system inside [login to view URL], 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 [login to view URL] (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.
Project ID: 40414713
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