Yelp automation

Posted yesterday

Worldwide

Summary

Upwork Job Posting AI Automation Specialist – Yelp Review Auto-Response & Multi-Location Integration Project Overview We are seeking an experienced AI Automation Engineer to build a fully automated Yelp review management system for our restaurant group, Shawarma Guys, which currently operates three restaurant locations. Our goal is to automatically detect every new Yelp review and generate an intelligent AI-powered response that is then posted back to Yelp with minimal or no manual intervention. This is not a basic chatbot project. We are looking for someone experienced with APIs, AI, automation workflows, webhooks, and multi-location business integrations. Business Locations Our Yelp Business accounts include three locations: Shawarma Guys – South Park Shawarma Guys – Mira Mesa Shawarma Guys – La Mesa Each location must operate independently while following the same AI response framework. Project Goals Build an automated system that: Monitors all three Yelp Business pages 24/7 Detects every new review Pulls all review information including: Review text Star rating Customer name Review date Business location Photos (if available) Sends the review into an AI model Generates a personalized response based on our business guidelines Automatically posts the response back to the correct Yelp Business page Prevents duplicate replies Logs every interaction for auditing and reporting Required Features Review Monitoring The system should automatically detect: New reviews Updated reviews (if supported) Edited reviews Review status AI Response Generation Responses should never sound robotic. The AI should: Thank customers appropriately Personalize every reply Reference details mentioned in the review Match our restaurant's tone Avoid repeating responses Handle positive, neutral, and negative reviews differently Be capable of using custom prompts that we provide Maintain brand consistency Response Logic Example behavior: ⭐⭐⭐⭐⭐ Thank the guest. Mention something specific from their review. Invite them back. ⭐⭐⭐⭐ Thank them. Acknowledge any suggestions. Invite another visit. ⭐⭐⭐ Apologize where appropriate. Address concerns professionally. Offer to speak offline if needed. ⭐⭐ / ⭐ Empathize. Apologize. Provide contact information. Attempt service recovery. Avoid arguing. Protect the company's reputation. Multi-Location Support The automation must: Know which Yelp page the review belongs to Respond using the correct business information Support independent prompts if desired Be scalable for future restaurant locations AI Requirements Preferred AI platforms include: OpenAI GPT Anthropic Claude Google Gemini The system should allow prompt editing without requiring code changes. Automation Platforms (Preferred) Experience with one or more of: n8n Make.com Zapier Pipedream Custom API development Python Node.js Yelp Integration Experience with: Yelp Fusion API Yelp Business APIs OAuth authentication API rate limits Webhooks or polling Review response endpoints (if available) Alternative compliant integration methods if Yelp API limitations exist Please explain how you plan to overcome Yelp's automation limitations while staying within Yelp's Terms of Service. Dashboard (Preferred) Bonus if you can create a simple dashboard showing: Reviews awaiting reply AI-generated responses Posted responses Failed replies Error logs Response time Review analytics Sentiment analysis Multi-location filtering Logging Every review should be logged with: Review ID Business Customer Star rating AI response Date received Date responded Success/failure status Error messages Google Sheets, Airtable, Supabase, PostgreSQL, or another database are all acceptable. Future Expansion This project should be designed to support future additions such as: Google Reviews Facebook Reviews TripAdvisor OpenTable Apple Maps Reviews Trustpilot Internal customer feedback AI analytics AI sentiment scoring Monthly reporting Required Experience Please apply only if you have experience with: AI integrations OpenAI API Yelp integrations API development Automation platforms Webhooks OAuth Multi-step workflows Error handling Logging systems Restaurant or hospitality experience is a significant advantage. When Applying Please include: Examples of similar automation projects Yelp or review management experience AI projects you've built Automation platforms you specialize in Estimated timeline Estimated budget Recommended technology stack Whether you would recommend a no-code, low-code, or fully custom solution, and why Deliverables By project completion, we expect: Fully automated review monitoring for all three Yelp locations AI-generated, brand-consistent responses Automatic posting of responses (where supported by Yelp) Centralized logging and audit trail Documentation for maintenance and prompt updates A scalable architecture that can easily support additional locations and review platforms in the future One important note: Yelp does not currently offer a public API that allows third parties to automatically post business owner responses to reviews. An experienced developer should know this. A compliant solution typically involves: Using Yelp's official notifications (email or supported integrations) to detect new reviews. Generating AI responses automatically. Either presenting the response for one-click approval, or using an officially supported business integration if available. If someone tells you they can fully automate posting replies through an undocumented API or browser automation without mentioning Yelp's Terms of Service, that's a red flag. Ask them to explain exactly how they'll implement it while remaining compliant with Yelp's policies.

  • $50.00

    Fixed-price
  • Expert
    Experience Level
  • Remote Job
  • One-time project
    Project Type
Skills and Expertise
Mandatory skills
Automation
Lead Generation
Activity on this job
  • Proposals:20 to 50
  • Last viewed by client:15 hours ago
  • Interviewing:
    2
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Mar 26, 2025
  • USA
    El Cajon4:06 PM
  • $5.3K total spent
    39 hires, 7 active

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