GMB-Looker Review Tracker Integration

@Microlent

This looks straightforward at first, but in my experience there’s usually a key detail that can cause issues later. I’ve handled similar projects before and can outline a practical approach for you. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/Microlent Let me know if you I'd like me to walk you through the plan. – Rajesh Rolen

@Mayurisalgat13

Hello, I can build a lightweight Google Business Profile reviews connector/middleware that pulls review data into Looker Studio with scheduled refresh and clear documentation. I have experience with Google APIs, OAuth authentication, data connectors, Apps Script/Python middleware, REST APIs, reporting pipelines, and dashboard-ready data modelling. For this project, I would focus on keeping the setup simple, reliable, and easy for non-technical users to re-authenticate when needed. I can implement this either as a native-style Looker Studio connector or a small middleware service using Python/Apps Script, depending on your preferred hosting and maintenance approach. Before starting, I would like to confirm your Google Business Profile account structure, number of locations, preferred deployment option, and whether flagged status is already available from your review workflow or needs to be managed separately. Best Regards, Mayuri Google API & Dashboard Automation Specialist

@lalitdeveloper7

Hi I can build a lightweight integration that pulls reviews from all your Google Business Profiles into Looker Studio, including review text, star rating, review date, reviewer information, and status indicators such as whether a review has been replied to or flagged. The solution can be implemented as a custom Looker Studio connector or a simple middleware service using Python or Google Apps Script, with automated refresh scheduling and straightforward re-authentication for non-technical users. You will receive the complete source code, deployment documentation, re-authentication instructions, and a sample Looker Studio report/schema demonstrating all required fields and filters. The solution will be designed to be reusable across multiple brands and easy to maintain. Please let me know further. Thanks.

@rajc6h6

You need a custom Looker Studio connector to track Google Business reviews and highlight unreplied comments—I build these exact API bridges. I write Python and Apps Script daily to build automated data pipelines. As an Analytics Engineer who founded an analytics platform (Synlitics), I regularly integrate external APIs and format data schemas specifically for seamless Looker Studio reporting. I can build a Google Apps Script connector that simplifies the OAuth flow for your team and surfaces the exact "Replied" and "Flagged" fields you need within 48 hours. Roughly how many Google Business Profile locations will this connector need to pull data from?

@mubashir021

I understand the importance of seamlessly integrating your Google Business Profile reviews into Looker Studio for efficient management and analysis. I propose developing a lightweight custom ORM bridge that utilizes the Google My Business API to extract and stream the necessary review data, including full text, star rating, timestamp, and reviewer details. Additionally, I will implement the action flags for 'Replied' and 'Flagged' statuses, allowing you to create dashboards that highlight reviews needing attention. My approach will involve creating a native-style Looker Studio connector or a simple middleware service using Python or Apps Script, ensuring it's user-friendly for your non-technical teammates to manage re-authentication. I will also provide comprehensive documentation, including a deployment guide and a sample Looker Studio report that showcases the required fields. With my expertise in API development, data integration, and visualization, I am confident in delivering a robust solution that meets your needs. Let's work together to enhance your review management process and ensure your team can easily utilize the data for better decision-making.

@rakhshanz3

With nearly two decades of diverse experience in the software engineering field, particularly in API Development, Python, and Software Architecture, I am confident that I would excel in this project. Throughout my career, I've tackled various complex problems and developed cutting-edge solutions to support businesses across different domains like voice agents for customer support, data extraction tools, and workflow automation systems - all the skills that are highly relevant to your project. Moreover, as a former CTO of an AI startup, I understand the importance of clear documentation and simplicity in setup process especially for non-technical users. You can rely on me to produce clean and concise guides that will allow for easy reauthentication if token expires and smooth redeployment or handover process when necessary. In addition, I will leverage my teaching background to make sure the guides are user-friendly at every level of technical knowledge without compromising on quality or details. Hire me today and get ready for a thorough job done right the first time!

@manishcomp123

I'd be delighted to help you integrate GMB-Looker Review Tracker. Here's a proposal for a custom solution that meets your requirements. To streamline review data from Google My Business into Looker Studio, I recommend developing a lightweight middleware service using Python or Google Apps Script. This service will authenticate once and then schedule automatic updates using the Google My Business API. It will pull all reviews, including full text, star rating, timestamp, and reviewer details, and surface two additional action flags: whether a review has been replied to and whether it has been flagged. The solution will be designed to be user-friendly, allowing non-technical teammates to easily re-authenticate if necessary. I'll ensure seamless integration with Looker Studio, making it simple to build dashboards that instantly show which comments need attention. Best regards, Manish S. Can you provide more details about the expected volume of reviews and the desired refresh rate for the data updates?

@nikhilsingh8983

Hi, I can build this Google Business Profile to Looker Studio connector for you. I'll handle the API authentication, review ingestion with all required fields, the replied and flagged action flags, and scheduled auto-refresh. The setup will be documented clearly so non-technical teammates can re-authenticate without any developer help.

@venvk

Hi! This is a well-scoped task and I can deliver exactly what you described. My approach: • Python middleware service that authenticates with Google My Business API via OAuth2 and pulls all reviews across every location — full text, star rating, timestamp, reviewer details, replied status, and flagged status • Data lands in Google Sheets (simplest for non-technical re-auth) or BigQuery if you prefer scale • Looker Studio connects natively to either — no custom connector needed, keeping setup minimal • Scheduled refresh via Cloud Scheduler or Apps Script trigger, fully automatic after initial setup • Re-authentication flow documented step-by-step so any teammate can handle a token expiry without touching code Deliverables: • Full source code with comments • Deployment guide (step-by-step, non-technical friendly) • Re-auth guide • Sample Looker Studio schema with Replied / Flagged filters ready to use Relevant background: I build production async Python services and API integrations (Binance, Revolut, Telegram, VK). I'm comfortable with Google APIs and OAuth2 flows.

@sebastianb462

I recently assisted a client with a similar setup, ensuring their application ran seamlessly on the new environment without disrupting existing workflows. I can help you achieve your goal of seamlessly integrating Google Business Profile reviews into Looker Studio. By developing a lightweight custom ORM bridge using the Google My Business API, I'll ensure every review is accurately streamed with key fields like full text, star rating, timestamp, and reviewer details. Implementing action flags to indicate reply status and flags, the dataset will enable instant attention to comments needing action. This structured, detail-focused approach guarantees a clean, professional, and user-friendly solution for your dashboard needs. This is exactly the kind of project where a structured, detail-focused approach makes all the difference, and that’s what I bring. Regards, Sebastian

@khushboo69

You need a scheduled pipeline that pulls every review from multiple Google Business Profile locations into Looker Studio — including replied/flagged status flags — and keeps it fresh automatically without requiring technical intervention when tokens expire. Here's exactly what I'd build: **Stack:** Python (Cloud Function or Apps Script trigger) → Google My Business API v4.9 → BigQuery staging table → Looker Studio Community Connector (JavaScript/Apps Script) Fields covered: review text, star rating, timestamp, reviewer name/photo, `hasReply` boolean, `flagged` boolean. Comparable work: Built a similar GBP → BigQuery → Looker pipeline for a 47-location retail chain last year — handled OAuth refresh invisibly via a Service Account fallback. **Plan:** - Days 1–3: OAuth setup, API wrapper, BigQuery schema - Days 4–7: Scheduled refresh + action flags logic - Days 8–11: Looker Studio connector + sample dashboard - Days 12–14: Docs, re-auth guide, handoff Deployment guide will be written for non-technical teammates — step-by-step screenshots included. **One question:** Are your GBP locations under a single Google account/agency, or spread across multiple owner accounts? This determines the authentication architecture before I write a single line. Ready to start immediately — shall we schedule a 15-minute call today?

@atonf0abdulAzz

Hi, You need a Python middleware that pulls GBP reviews into Looker Studio with Replied/Flagged flags for dashboard filtering. My approach: → Google My Business API (official Python library) → OAuth2 with simple token refresh for non-technical teammates → Scheduled auto-updates + Google Sheets bridge (more stable than a native Looker connector) → Fields: full text, rating, timestamp, reviewer details, replied & flagged flags Deliverables: clean source code, deployment guide, sample schema. Question: how many GBP locations? This affects API quota and refresh strategy. Delivery: 3-4 days after confirmation. Abdoul Aziz

@NithinKumar2021

Your Google Business Profiles are scattered across locations, and pulling reviews manually into Looker Studio is a real bottleneck — I can fix that with a clean, lightweight solution. I'll build a Python service using the Google My Business API to fetch reviews (full text, star rating, timestamp, reviewer details) from all your profiles, with the two action flags you mentioned, and stream them into Looker Studio via a custom connector with scheduled auto-refresh. I've built similar API-to-BI pipelines with 15 years of Python, REST API, and data integration experience — the ORM bridge will be well-documented and easy to extend. Two quick questions: How many Google Business Profiles do you have, and do you want historical reviews synced or only new ones going forward?