Make.com (Integromat) or n8n Automation Expert Needed

I’m here to streamline your project, delivering efficient and accurate results with high-quality, consistent data.  Below is my approach to ensure the efficient completion of your task: ➤ 1. Reading City Names from Airtable: I will write a script to fetch city names (e.g., New York, Los Angeles, Chicago) from Airtable using the Airtable API. ➤ 2. Data Request to Claude and ChatGPT: For each city, I will send API requests to both Claude and ChatGPT, asking for their top trekking spots. ➤ 3. Aggregate Responses: After collecting the data, I will merge the results from Claude and ChatGPT into one dataset. ➤ 4. Remove Duplicates: I will filter out any duplicate entries to ensure that only unique trekking spots remain. ➤ 5. Store Data in Airtable: The cleaned data will be stored in Airtable as JSON, ensuring proper formatting for future use. ➤ 6. End-to-End Test: I will perform an end-to-end test with 5 sample cities to ensure the system works smoothly. ➤ 7. Error Reporting & Retry Mechanism: I will implement error handling for failed API calls with alerting and automatic retries, ensuring reliability.  Timeline & Bid: I can complete this task within 5 days. My bid is 6000.  Risk-Free Collaboration: I offer a full refund if my work doesn’t meet your expectations—and you can keep this message as proof. Your satisfaction is my priority. Looking forward to working with you! Best regards, Abdullah Lashari

"I think I am the perfect fit for your project. I will extract city names from Airtable, send data to Claude and Chatgpt for top trekking spots, aggregate the responses, remove duplicates, and store in Airtable as JSON. My expertise includes API integration, data aggregation, and automated testing. While I am new to Freelancer.com, I have vast experience off-site. I’d love to chat more about your project! Regards, Carlo."

I have extensive experience in n8n workflow automation and AI integrations, and I can efficiently build your end-to-end workflow to fetch city names from Airtable, query Claude & ChatGPT, aggregate responses, remove duplicates, and store the final JSON in Airtable. Scope of Work: Fetch city names from Airtable one by one. Query Claude & ChatGPT for top trekking spots. Aggregate & de-duplicate responses. Store results in Airtable as JSON. Implement error handling, retry logic & alerting. End-to-end testing with 5 sample cities. Why Choose Me? ✅ Proven n8n Experience – I can showcase previous workflows. ✅ Expert in AI APIs – Hands-on with Claude, GPT, and Airtable API. ✅ Error Handling & Reliability – Ensuring smooth execution with alerts. ✅ Timely Delivery – Well-structured approach for on-time completion.

I have experience in this projects and i am an artificial intelligence and machine learning student i will be the best for this projects

Hello! ✔Best Matched With Me! ⭐Best Matched Project link I have already developed Whats@app bot integrating by stripe, openAI, Twilio. I can't share cus other track it. Your project’s goal to integrate AI for city-based trekking recommendations is fascinating. I see the importance of seamlessly collating data from Claude and ChatGPT, ensuring accuracy and uniqueness in the listings. A streamlined, error-resilient system that reliably updates and tests itself sounds crucial for success. In a recent project, I integrated similar AI APIs into a dynamic web application, enhancing user engagement significantly. This experience makes me confident in delivering a tailored solution for your needs. 40+ hours/week | 8:00 AM — 10:00 PM, EET | Can start today! Let’s contact and discuss on your project professionally. ?

Proposal: I have extensive experience in AI, process automation, and API integration, making me well-suited for this project. I will: Extract city names from Airtable and process them efficiently. Query Claude and ChatGPT APIs to gather top trekking spots. Aggregate responses, remove duplicates, and format data as JSON. Store the cleaned data back in Airtable. Implement an end-to-end test with sample cities for validation. Add robust error handling, logging, and a retry mechanism for failed API calls. I will complete the setup in my account and share the final working scenario. Looking forward to collaborating!

In my previous role as Head of Technology, I created complex scenarios for all real estate operations. I can create a scenario based on the steps you mentioned and produce a video for you to review. I look forward to working on this project.

Hey, I am a skilled n8n workflow developer. With my expertise in n8n workflow automation and API integrations, I can develop a seamless solution that meets your exact requirements. I understood your requirement and I have done similar projects as this. Scope of Work: ✅ Extract city names from Airtable and process them sequentially. ✅ Query ChatGPT and Claude AI to fetch top trekking spots for each city. ✅ Aggregate responses, remove duplicates, and store the final results in Airtable as structured JSON. ✅ Implement error handling & retry logic to ensure no data loss due to API failures. ✅ Set up real-time monitoring & alerting for failures or inconsistencies. ✅ Conduct an end-to-end test using five sample cities to validate accuracy and reliability. Why Choose Me? ? Extensive experience in n8n workflow automation and API integrations. ? Hands-on expertise with Airtable, OpenAI (ChatGPT), Claude AI, and JSON data processing. ? Strong background in error handling, retries, and real-time monitoring to ensure workflow robustness. ? Commitment to delivering a fully functional, thoroughly tested scenario, which I will share upon completion. I am confident in delivering a high-quality solution that is efficient, scalable, and reliable. Let’s discuss further so I can understand any additional requirements or preferences you may have. If you want to have a look at my previous projects, Please send me a message. I will share the previous example workflows of mine

With 7 years of experience in the field, I am the best fit to complete this project. I have the relevant skills to meet your requirements. How I will be completing this project: - Read city names from Airtable one by one (New York, Los Angeles, Chicago etc) and send data to Claude and Chatgpt for Top Trekking spots - Aggregate the responses from both sources - Remove duplicates and store the final list in Airtable as JSON - Create end-to-end tests with 5 sample cities - Implement error reporting, alerting, and retry mechanisms for failed API calls What tech stack I will be following: - Airtable API for reading city names and storing data - Claude and Chatgpt APIs for fetching Trekking spots information - JSON for data storage - Testing frameworks for creating end-to-end tests - Error handling libraries for error reporting and retry mechanisms I have worked on similar solutions in the past and can deliver the project within the specified timeline. I will complete the tasks in my account and share the scenario with you for review.