Automated Feedback Aggregator Development

@technologiesit

My name is Vimal Kumar and I am an experienced Full Stack Developer with over a decade of experience. I have undertaken and successfully completed over 100 projects, many of which bear uncanny similarities to your project description. From API Development and Integrations to Website Maintenance & Support, I have demonstrated my ability to consistently deliver projects on time, within budget and at the highest quality. And it's not just my ability to complete projects that makes me the best fit for your job - it's my commitment to adding value to your business. I believe in building scalable, secure solutions that provide long-term support and help businesses grow. This aligns with your need for a fault-tolerant tool that can easily incorporate or remove platforms. So not only will I build the automated feedback aggregator you need, but you can count on me to ensure it's adaptable and future-proof. The distinctive feature of my candidacy lies in my capacity to turn your vision into a reality. That's no small feat with a project as intricate as yours, but with 10+ years in the industry, I've learned a thing or two about digital transformation and leveraging technology smartly. Let’s work together to make your customer feedback aggregation a source of growth and results for your restaurant outlets

@NEHABHAT92

With over a decade of hands-on experience in web and mobile development, I bring a myriad of skills perfectly suited for your project. My expertise ranges from API integrations, automated testing to data aggregation - all elements crucial for constructing the automated feedback aggregator you need. In addition, my well-versed understanding of app authentification, use of specific stacks such as Claude Desktop with MCP / browser-control or Playwright / Puppeteer and comprehensive approach to troubleshooting make me adept at handling the complexities of your task. I fully comprehend the significance of a production-grade tool that not only aggregates data but also ensures fault-tolerance and streamlines slack usage. Having built several custom CRM's before I understand the layering structure required for segregated modules and an idempotent workflow. This results in smooth addition or deletion of platforms with minimum disruption to existing systems. Additionally, I understand the importance of maintaining consistency across data reports and can ensure a seamless integration between various platforms including Swiggy/Zomato/EazyDiner/Magicpin/Google. To add on, I'm well acquainted with a variety of gateways (including Google Business Profile's owner access) and have plenty experiences withMaster Google Sheets and Slack integration.I am happy to provide any additional samples similar to your requests of complete software solutions delivered to clients. I look forwar

@akkiwadhwa1995

Hi, I can build a production-grade daily feedback aggregation system for your restaurant outlets with modular platform connectors, fault isolation, automated reporting, and Slack delivery workflows. I’m the founder of JustMetrically, a platform focused on large-scale scraping, AI enrichment, automation pipelines, and reporting systems. The solution will include: Playwright/browser-automation with persistent cookie-session reuse Modular per-platform architecture for Swiggy, Zomato, Google, Magicpin, etc. Daily scheduled execution at 9 AM IST Incremental/idempotent processing Retry handling with exponential backoff Per-platform fault isolation Slack alerting with detailed failure logs Pipeline features: Review extraction from public and authenticated dashboards Sentiment + category classification Urgent review detection Google Sheets append-only integration via service account Automated PDF summary generation Slack posting with urgent alerts Tech stack: Python + Playwright/Puppeteer Google Sheets API Slack API/webhooks PDF generation pipeline Config-driven modular architecture You’ll receive: Fully documented codebase Deployment/setup guide Configurable keyword/tag system Monitoring and logging support Easy onboarding for new platforms I have strong experience building resilient scraping and automation systems handling authenticated dashboards, dynamic websites, and scheduled reporting workflows. Ready to start immediately after kickoff details are shared.

@mahads31

As a freelancer with extensive experience in PHP and software architecture, I have forged a reputation for myself as someone who is both meticulous and innovative, traits that are vital for the Automated Feedback Aggregator that you need to be built. I can incorporate your specified tech stack of Claude Desktop with MCP/Playwright/Puppeteer into the system design, ensuring that important modules like HTTP scraping, scheduling, task updates via APIs, modular changes and others tie together seamlessly for smooth platform functionality. My proficiency extends beyond code; it encompasses architecture creation like designing the automation workflow. As mentioned, my work approach is deeply rooted in innovation. This means bringing more than what's asked to your worktable. For instance, I can integrate analysis tools into your aggregator system to create more robust reviews' classification - an added feature for a detailed analysis of customer sentiment which could greatly benefit your business. In my profession, scalability is a tenet and that aligns perfectly with the aims of this project: I can build not just a functional but also future-proof system. By choosing me, you’re investing in a thoughtful and comprehensive approach to software development.

@AbdullahLasharii

I’ll build a fault-tolerant automation system that collects restaurant reviews from multiple platforms, classifies them, syncs them to Google Sheets, and posts daily PDF summaries to Slack with reliable monitoring and platform-level isolation. ➡️ My work process: ➤ 1. System Planning Review platform access, outlet structure, authentication flow, and reporting requirements. ➤ 2. Review Extraction Build modular scraping workflows using Playwright/Puppeteer, MCP/browser automation, APIs, and cookie-session reuse for authenticated dashboards. ➤ 3. Classification & Processing Implement sentiment analysis, keyword-based tagging, urgent-review detection, and standardized formatting. ➤ 4. Google Sheets Integration Create append-only Google Sheets automation using secure service-account authentication. ➤ 5. PDF & Slack Automation Generate daily PDF summaries with analytics and automate Slack posting with urgent-review alerts. ➤ 6. Monitoring & Reliability Add retry logic, failure alerts, logging, and per-platform fault isolation so one failure never blocks the full workflow. ➡️ Why choose me: ✅ Rising Star ⭐ freelancer with strong automation and integration expertise ✅ Completed similar automation projects on this platform; clients can review related feedback in my profile reviews ✅ Detail-focused workflow with strong emphasis on reliability and monitoring  Risk-Free : Full refund if my work doesn’t meet your expectations Regards, Abdullah Lashari

@growwithgdp

✅ I’ll build a production-grade automated feedback aggregation system using Playwright/Puppeteer + Google Sheets + Slack integration with modular, fault-isolated architecture for each review platform. ✅ Includes authenticated dashboard scraping, sentiment/tag classification, urgent-review alerts, PDF report generation, retry logic, scheduled automation, and secure session/cookie reuse handling. ✅ Delivery includes clean documented code, deployment/setup support, monitoring alerts, scalable platform modules, and a ready-to-run workflow for daily restaurant review reporting.

@maisamraza1996

Hey, This is interesting, but I want to be upfront: automation engineering and data pipelines aren't my primary lane. My background is mobile app development (5+ years Android, currently Flutter). That said, the foundation you need—API integration, Google/Slack APIs, error handling, retry logic, service-account auth—I've built all that before. The gap is web scraping at scale and the orchestration layer (scheduling, monitoring, per-platform fault isolation). Here's my honest take: I could probably build this with Playwright + Node.js. The architecture would be solid (modular scrapers, error isolation, idempotent writes). But you'd be hiring someone to learn the automation/data-pipeline specifics on your project. What I'd genuinely suggest: find a backend engineer or automation specialist with shipping experience on similar projects. They'll already know Airflow, Dagster, or equivalent—things that make this easier at scale and more reliable in production. If you need the mobile side of this later (companion app, etc.), I'm your person. But for the data-pipeline core, you want a specialist. Cheers, Maisam

@manoval09

Hi, Building a daily feedback pipeline that reliably ingests, deduplicates, and delivers a clean summary — without babysitting — is exactly the kind of automation that breaks in subtle ways if the scheduling and error handling aren't done right from the start. My approach: a Python-based scheduler (APScheduler or a cron-triggered script) that pulls from your feedback sources via their APIs, normalizes records into a lightweight SQLite or Postgres schema, and outputs a daily digest. I'd use `pandas` for deduplication and aggregation logic, with structured logging via `loguru` so failures surface immediately rather than silently dropping records. If multiple sources are involved, each gets its own adapter class so adding new ones later doesn't touch the core pipeline. Before writing a single line, I'd want to confirm two things: which platforms are the feedback sources (Zendesk, Typeform, email, something custom?), and what the delivery target looks like — Slack webhook, email report, or a dashboard endpoint. Can you share the complete spec? That'll let me give you a concrete day-one deliverable and a realistic scope for $1,500. Best regards, Val

@ahtishamulhaque1

In a world that's increasingly driven by data, my skills and experience empower me to rise to the occasion and provide you with the automation solution you need for your daily customer feedback aggregation. With 6+ years of hands-on experience in automation, PHP, software architecture, and web scraping, I have the perfect amalgamation of technical knowledge and practical know-how to tackle your unique project. A crucial aspect of this project is the ability to pull reviews from various platforms while ensuring fault tolerance and platform isolation. My proficiency in automation technologies like Playwright, Puppeteer combined with my extensive experience in utilizing APIs and HTML scraping for public sources like Google Maps will facilitate effective data extraction from all your source platforms irrespective of their login requirements. Another reason for my suitability is my familiarity with Claude Desktop, MCP/browser-control as well as my ability to adapt and use alternate technologies like Playwright/Puppeteer effectively. Being well-versed in building scalable backend systems using Laravel and .NET, I guarantee clean code, efficient architecture, and an optimally performing product that aligns perfectly with your expectations. Alongside building modules that can be easily added or removed as per your requirement, I also prioritize system security and idempotence to ensure your data is safe.

@nmau4669

Hi, I can build this as a modular daily feedback aggregator with reliable collectors and clean reporting. I would create separate platform modules for Swiggy, Zomato, Google/GBP, and any other confirmed source, using API/public scraping where available and Playwright/session reuse for authenticated dashboards. The pipeline would normalize reviews, classify sentiment/category, flag urgent feedback, append to Google Sheets, generate a daily PDF summary, and post it to Slack. The key part is reliability: per-platform fault isolation, clear logs, retries, configurable keywords, and Slack alerts so one failing dashboard does not block the whole run. I recently built portal automation with authenticated sessions and Excel/PDF-ready exports, so this matches my strengths. I can deliver the core production-ready version in 5 days after access and final platform list are confirmed.

@vertechsolutions

Hi, I can fix your Automated Feedback Aggregator Development I've solved this exact problem many times. Here is what I will do: Build a modular, platform-wise automation using Claude Desktop + MCP/browser control for login dashboards and API-based fetch for Google Maps. Set up sentiment/category tagging, urgent-flag detection, and append-only Google Sheets with stable headers. Create fault-isolated daily scheduling, PDF generation, Slack posting, retries, and alerts with full logs. 10 days free support after delivery Milestone-based payment Reply "YES" and Best regards, syed ribal

@ArasakaSystems

Ross here from Arasaka Systems, hope you’re doing well. I can help with building your scheduled daily-data tool for aggregating customer reviews across multiple platforms. It’s great to see such a clear focus on creating a clean, professional, integrated, and high performing solution. I’ve completed similar automation projects involving data extraction from protected and public sources combined with analysis and reporting. Your emphasis on idempotent, fault-tolerant automation with per-platform isolation is well understood and aligns perfectly with best practices. Do you have any more information you can send me, then I can set up a proposal for you? I offer expertise in automation engineering using tools like Playwright, Google Sheets API, and Slack integrations to deliver scalable, monitored workflows. It would be a pleasure to be of assistance. Regards, Ross, Arasaka Systems

@aaronrobs

⭐ONLY PAY IF YOU’RE IMPRESSED⭐ With extensive experience building automation tools for data aggregation, we specialize in customer feedback systems like yours. How we can help: - Seamlessly extract reviews from public and login-protected platforms - Classify sentiment and tag categories accurately - Append daily data to Google Sheets reliably - Generate and share PDF summaries on Slack automatically Core Deliverables: • Modular, production-grade tool with fault isolation • Daily 9 AM IST scheduled run • Real-time Slack alerts for failures & urgent reviews Approach: 1. Use Claude Desktop MCP / Playwright for authenticated scraping 2. Implement idempotent, monitored data pipelines 3. Apply keyword & sentiment analysis for tagging 4. Automate PDF generation & Slack integration Committed to high-quality results aligned with your goals. Looking forward to discussing this project further. Kind regards, Aaron Roberts Happy Screen Solutions

@viktoria82

Hope you’re having a good day. I checked your “Automated Feedback Aggregator Development” project and understand that you need a production-grade multi-platform automation system that reliably aggregates restaurant feedback data, classifies reviews, synchronizes structured reporting into Google Sheets, and delivers actionable summaries through Slack with strong fault isolation and monitoring. I have experience building browser-automation systems using Playwright/Puppeteer, authenticated scraping workflows, Google Sheets integrations, Slack automation, scheduled reporting pipelines, and resilient data-processing architectures. I can help build a modular automation framework with per-platform isolation, retry handling, sentiment/tag classification, PDF summary generation, Slack alerting, and scalable connector-based architecture so future platform additions or removals remain simple and maintainable while ensuring daily reliability and operational visibility.

@jss13

Hi, I build production-grade automation systems using n8n + OpenAI + Google Sheets — exactly the stack needed for your daily feedback aggregator. Here's my approach: ? DATA EXTRACTION • Google Maps/GMB — via API (clean, reliable) • Swiggy/Zomato/Magicpin partner dashboards — via session-based scraping with cookie reuse • Modular design — adding/removing a platform is a single-file change • Per-platform fault isolation — one failure never blocks others ? CLASSIFICATION • Sentiment: Positive/Neutral/Negative via OpenAI • Category tags: Food/Delivery/Packaging/Pricing — keyword-based, configurable • Urgent flag: rating ≤2 or keywords like refund, stale, missing auto-flagged ? GOOGLE SHEETS • Service-account authentication — no OAuth prompts • Append-only, idempotent runs • Consistent headers, run date column ? PDF + SLACK • Daily PDF: total reviews, avg rating, sentiment split, top 5 negative verbatim • Auto-post to Slack channel at 9:00 AM IST • Urgent review alert with @channel ping ⚠️ MONITORING • Failure alerts: timestamp, platform, stage, full error • 3 retries with exponential backoff • Zero-results detection

@nagendrababu1144

Hello, I can build your daily customer feedback aggregator as a production-grade automation tool with modular platform connectors, Google Sheets logging, PDF reporting, and Slack alerts. I recommend using **Python/Node.js + Playwright/Puppeteer** for authenticated partner dashboards, with cookie-session reuse, and API/HTML extraction for public sources like Google Maps/GMB where available. The system will be modular so Swiggy, Zomato, Google, Magicpin, EazyDiner, or Dineout can be added/removed with minimal changes. I will deliver: * Daily scheduled run at **9:00 AM IST** * Review extraction for yesterday’s reviews per outlet * Capture outlet, platform, timestamp, customer name, rating, comment, order ID, items, delivery rating, and review URL where available * Sentiment classification: Positive / Neutral / Negative * Configurable category tagging: Food quality, Delivery, Packaging, Pricing, Service, Other * Urgent review flagging based on rating and keywords * Append-only Google Sheet integration with consistent headers * Service-account authentication * Daily PDF summary with total reviews, average rating, sentiment split, top negative reviews, and urgent flags * Slack PDF upload and urgent @channel alert * Failure alerts with timestamp, platform, stage, and full error/stack trace * Retry logic with exponential backoff * Per-platform fault isolation so one failure does not block the full run

@gurpreets058

I’m Gurpreet Singh, a professional freelance developer based in New Delhi, with 10+ years of experience in delivering secure, scalable, and high-performance digital solutions. I help startups and businesses turn their ideas into powerful, market-ready products. ? What I Can Do for You Mobile App Development (Android & iOS) Desktop Software Development (C#, Java, .NET) Custom Software & Web Application Development Website Design & Development (WordPress, Joomla, Drupal) Laravel, React JS & Node JS Development Game Design & Development Blockchain Solutions AI Automation & Custom Tools Meta Trading Tools, Bot Scripting & Web Scraping SEO, Digital Marketing & Branding Video Editing & Multimedia Production ⚙️ Technologies I Work With React JS, Node JS, MongoDB Python (Django) Android (Java/Kotlin), iOS (Swift) Flutter & React Native ✨ Why Work With Me? ✔ 10+ years of proven industry experience ✔ Modern, scalable & cost-effective solutions ✔ Creative and experienced development approach ✔ Transparent communication & smooth workflow ✔ Secure, optimized & future-ready technology ✔ On-time delivery with dedicated support ✔ Flexible pricing (open to discussion) ? Let’s Work Together If you’re looking for a reliable freelancer who can bring your ideas to life and deliver high-quality results — I’m here to help. Let’s build something amazing together ?

@indreshpnk

Hello, I understand you need a **fully automated daily customer feedback aggregator system** that collects reviews from multiple restaurant platforms (Swiggy, Zomato, Google Maps, etc.), classifies them, stores them in Google Sheets, and sends a structured daily PDF summary to Slack. The goal is to build a **production-grade, fault-tolerant automation pipeline** with scheduled execution and per-platform isolation. Here’s what I can provide: • End-to-end automation system using Playwright/Puppeteer (for login-based dashboards) and API-based extraction for Google Business Profile • Smart data pipeline with sentiment classification, category tagging, and urgent review detection using rule-based + NLP logic • Google Sheets integration with service-account authentication + structured daily appends • Automated PDF generation + Slack bot/webhook integration for daily reporting and instant alerting I bring over 4+ years of experience in **web scraping, automation systems, data pipelines, and backend architecture**, with strong expertise in building reliable production-level bots using Python/Node.js, Playwright, and API integrations. Just to clarify a few things: • Do you already have access credentials for Swiggy/Zomato/Magicpin dashboards and Google Business Profile? • Should the system be built in Python or Node.js (for Playwright + automation stack)? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@musas48

I help businesses save time and grow faster using AI automation. I specialise in social media automation, AI chatbots, and lead generation systems that run 24/7 without manual work. What I can do for you: - Automate your social media content daily - Build AI chatbots that answer customers 24/7 - Find and contact potential leads automatically - Set up email follow-up systems I use cutting-edge AI tools including OpenClaw, Gemini, and Cerebras to deliver fast results. My systems save clients 10+ hours per week while growing their online presence. Let's automate your business and free up your time to focus on what matters most.