Google Maps Business Data Extraction Tool (A Python tool that extracts business data from Google Maps and stores it in a local database)

@asifalimzd

Hi there, I can build your competitor intelligence app exactly as scoped: Google Maps + delivery app integrations, clean dashboard, CSV/PDF reports, and AI‑powered marketing analysis. What I’ll Deliver: - Dual Google Maps extraction (API + HTML, safe from bans). - Just Eat, Deliveroo, Uber Eats integrations (plus Hungry Panda/Bolt Food if feasible). - Dashboard with postcode/radius setup, API key/token settings. - CSV & PDF reports with AI insights (pricing, sentiment, risks). - Stable Windows .exe (MacOS optional), local DB, bundled dependencies. - Secure delivery: GitHub repo access, malware scan, NDA. Thanks Regards, Asif Ali Zaman

@LiveExperts

Hello, As a professional team with vast, relevant experience in Data Extraction, Geospatial, Python and Web Scraping, we are the ideal pick for your Google Maps Business Data Extraction Tool project. Our expertise in Machin Learning and Data Analysis aligns perfectly with your needs, ensuring in-depth extraction of data from Google Maps and subsequent storage in your desired local database. In addition to HTML approach scraping, we will also deploy Google Maps API where necessary. Our reputation precedes us; we have a strong track record of developing stable solutions that run for long periods without breaking changes. On Delivery Apps Integration, we will seamlessly integrate Just Eat, Deliveroo, Uber Eats among others and successfully devise the best approach to scrape and implement them based on what is easiest and efficient. Using our remarkable skills in Artificial Intelligence, we'll cross-reference the collected data with Google Maps information and generate AI-powered analysis reports that give strategic insights like competitor's distance, pricing analysis, review sentiment and competitive risks. With these insights at your disposal from just a single session report, you can swiftly make key informed decisions to keep your business ahead. In addition to the technical requirements you specified like executing in Windows (with an extra initiative for macOS if needed), offline databasing on local HDD among others, I'm gracio Thanks!

@Herculesz

Hi I can build a stable Windows executable that scrapes Google Maps using both HTML parsing and the Google Maps API to avoid rate-limit bans while ensuring accurate extraction of competitor data. The main technical challenge is reliably scraping multiple food delivery platforms without triggering anti-bot systems, and I address this through controlled request handling, fallback parsing methods, and structured data reconciliation with Google Maps results. I can also develop a clean dashboard with postcode-based radius filtering, credential settings, and a flexible data store on local HDD with no auto-updates. The system will generate CSV and PDF reports, and I will integrate AI-driven competitor analysis to provide pricing insights, sentiment interpretation, and strategic recommendations. I will ensure all dependencies are bundled, versions locked for long-term stability, and the application secured with a unique device-ID validation layer. I’m fully comfortable with repository access, code auditing, and producing a clean .exe that passes malware scans and NDA expectations. I’d be excited to extend the application further once the foundation is delivered. Thanks, Hercules

@intelliresponse

As a seasoned developer with over 13 years of experience, my expertise aligns perfectly with your project requirements. I am well-versed in Python, Web Scraping, and Data Extraction, which are paramount to developing your envisioned Google Maps Business Data Extraction Tool. My proficiency will enable me to implement efficient methods for extracting and processing the vast amount of data needed from various platforms like Google Maps and delivery apps such as Just Eat, Deliveroo, Uber Eats, Hungry Panda and Bolt Food. Thank you for considering me as a prospective collaborator on your project. Be assured of my commitment to excellence and tailored-fit solutions throughout our engagement. Feel free to reach out, so we can further discuss how I can address any extra specific needs you may require for an even greater outcome.

@hireageek

Hi, I am excited about the opportunity to build the Google Maps Business Data Extraction Tool. As a top freelancer from California, I have successfully completed numerous projects, consistently earning five-star reviews. This project aligns perfectly with my expertise in Python development, data extraction, and API integration. I understand your need for a robust solution that scrapes business data from Google Maps using both HTML and API approaches, ensuring compliance with platform guidelines to avoid bans. Furthermore, I am well-versed in integrating delivery apps like Just Eat and Deliveroo, and can ensure thorough cross-referencing with Google Maps data. The requested features, including a user-friendly UI, settings panel, and AI-driven reports, will be meticulously developed within the proposed two-week timeline. Could you clarify if you have any specific preferences for the database structure, or should I suggest one based on the needs outlined? Thanks,

@mubeenm5026

With over a decade of experience specializing in AI development, I am Mubeen Khan, the ideal professional to take on your Google Maps Business Data Extraction Tool project. My team at Web Crest excels at AI automation and data extraction, which are vital components for this task. Our expertise extends to API integration and Python programming—essential skills needed to access Google Maps' APIs and extract the required business data. Moreover, having handled numerous projects involving web scraping, automating data extraction, and managing large amounts of information, my team is well-versed in mitigating common challenges such as avoiding bans from platforms. As you value stability in your chosen software, it's worth mentioning that we deliver stable versions with excellent backward compatibility. At Web Crest, client satisfaction is our utmost priority. To ensure transparency throughout the process, we provide a full auditing access via GitHub while maintaining the strictest privacy norms. Following our standard practice, I am more than willing to present a simple NDA that confirms our commitment not to maintain any access after delivering the final product—guaranteeing your data's security and privacy. If all goes well with this project, why not continue our collaboration for future advancements of your tool? My vast knowledge and skill set allow me to handle further requirements you may have.

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your project. With strong experience building Windows desktop scraping and reporting tools in Python, I can deliver a stable, self-contained app that pulls competitor data via a safer Google Maps API-first approach (with an HTML fallback where appropriate), integrates Just Eat/Deliveroo/Uber Eats menu extraction, cross-references entities cleanly, and generates combined CSV/PDF reports with AI-written marketing analysis per competitor. I’ll package everything into a signed, malware-scan-friendly .exe with a local on-disk database, pinned dependencies (no auto-updates), and a clear settings/UI panel for postcode/radius plus API keys, and I’m comfortable working in a private GitHub repo with NDA and your code audit requirement. You can expect clear communication, fast turnaround within your two-week window, and a production-ready deliverable that’s reproducible, maintainable, and designed to avoid bans and data-quality issues from day one. Best regards, Juan

@denisSolution

Hi client, I’ve carefully reviewed your job description and have strong experience in these Google Maps API, Python, Database Management, Competitor Analysis, AI Development, Data Extraction, Geospatial, Cartography & Maps, API Integration and Web Scraping. I can build a reliable web scraping solution tailored specifically to your needs. Whether using Node.js with Puppeteer/Cheerio or Python with Selenium/BeautifulSoup, I will extract, clean, and organize your data efficiently. I also handle anti-bot protections, pagination, and full automation as required. As you can see from my profile, my web scraping reviews are excellent, reflecting my commitment to quality work. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your target website and preferred data format. Thanks, Denis

@quan9824

As an experienced Full-Stack Python Developer with proficiency in Web Scraping and Data Extraction, I am not only fully capable of creating the extraction tool you need but also adding value by incorporating AI-powered analysis to interpret the extracted data. My mastery in using Google Maps API and leveraging the HTML approach for scraping should ensure hassle-free retrieval without triggering any bans. Additionally, I'll cross-reference the business-restaurant and menu details with Google Maps data, generating a unified analytical report, complete with strategic insights driven by artificial intelligence. Moreover, my expertise does not end at data extraction but also lies in building clean and user-friendly UI. I can design a handy Settings Panel with location setups, where you can easily input your Google Maps API key and AI API/token for future accessibility. The Postcode+Radius selector will allow you to customize each search session efficiently. It's worth mentioning that I will provide you a robust .exe file for your Windows system complying with your specific dependencies and local security requirements. Maintaining your trust, I assure you that your device ID or MAC address will be used as unique identifiers for software access which will sports into any standard NDA agreement. Finally, my commitment goes beyond project completion - if satisfied, our partnership can continue to unlock further potential for your app. LET'S GET STARTED!

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Google Maps Business Data Extraction Tool (A Python tool that extracts business data from Google Maps and stores it in a local database) . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@muneeb6767

I can build your Windows app with Google Maps + API-safe scraping, delivery platform menu extraction, clean dashboard/settings panel, and CSV/PDF reports with AI-driven competitor marketing insights per restaurant. Full local database, bundled stable dependencies, private GitHub repo for audit, and secure device-ID validation included within your 2-week timeline

@mattafareed4848

Hello I can build a Windows-based competitor intelligence app covering Google Maps (HTML + API-safe approach) and delivery platforms, with clean UI, CSV/PDF reports, AI-powered marketing analysis, and a bundled, stable .exe. I’m experienced with scraping safeguards, cross-referencing datasets, local databases, and code audits via private GitHub, and I’m comfortable with NDA, device-based validation, and a 2-week delivery timeline. Regards Muhammad

@ska234

Hello This is exactly the kind of structured, data-driven desktop system I enjoy building. You’re not just asking for scraping you’re asking for a controlled, stable competitor intelligence tool with AI interpretation, proper packaging, and long-term extensibility. That’s a serious build, and I’m comfortable delivering it. For Google Maps, I would implement a hybrid approach: the official Google Places API for stability and reduced ban risk, combined with carefully rate-limited HTML parsing where necessary for extended fields. Delivery platforms (Just Eat, Deliveroo, Uber Eats, etc.) would be handled with structured scraping logic designed to minimize fingerprinting risk and avoid aggressive request patterns. The cross-referencing engine would normalize entities (name + postcode + geo distance) so the AI layer can produce meaningful competitive analysis instead of raw dumps. The desktop app itself would be packaged as a stable Windows .exe (Electron or Python-based with bundled dependencies), using a local database stored on HDD. No auto-updates, fixed dependency versions, and a clean settings panel for API keys and radius configuration. Report generation would include structured CSV export and formatted PDF reports, with AI-generated marketing analysis written in substantive paragraphs per competitor pricing gaps, sentiment signals, positioning risks, and opportunity angles. Looking forward to your reply Regards.

@munibs1

Hello, I understand you're looking to develop a robust competitor analysis tool with the ability to scrape Google Maps and delivery apps data, integrate AI-powered insights, and generate detailed reports. Here’s how I can assist: - Google Maps Scraping & API Integration: I’ll implement both HTML scraping and Google Maps API to extract competitor data by category, postcode, and radius. The data will include competitor name, address, phone, reviews, ratings, and product details (no images). - Delivery App Integration: I’ll integrate Just Eat, Deliveroo, and Uber Eats, with possible secondary integration for Hungry Panda and Bolt Food. The system will extract restaurant data, menu items, prices, and ratings, cross-referencing with Google Maps data. - UI + Settings Panel: I’ll create a clean dashboard with location setup (postcode + radius selector), credential management (Google Maps API key, AI token), and a competitor overview. - AI-Powered Analysis: I’ll integrate AI to provide strategic insights—sentiment analysis, distance, pricing comparison, and competitive risks—followed by detailed, actionable reports in CSV and PDF formats. - Technical Requirements: The system will be built for Windows (with optional MacOS) and will run locally on your machine with bundled dependencies for stability. I’ll follow the security and auditing steps you outlined, and ensure the app is delivered on time. Let’s get started on this exciting project! Best regards, Munib S.

@alizain721

Hi, For your reference, I recently built a competitor intelligence desktop tool that scrapes online listings, menus, and reviews, then generates AI-powered analysis reports in CSV and PDF formats. It cross-references multiple data sources while keeping the process fully compliant with APIs to avoid bans. For your project, my approach would be to implement dual Google Maps scraping HTML parsing combined with API queries to safely extract competitor names, addresses, phones, reviews, ratings, and product info without hitting anti-scraping limits. I’d integrate delivery apps like Just Eat, Deliveroo, Uber Eats, and optionally others like Hungry Panda or Bolt, pulling restaurant menus, prices, and ratings, and correlating them with Maps data. The tool will include a Windows-based UI with postcode + radius selection, API key inputs, and a clean dashboard for competitor overview. AI-powered analysis will generate strategic insights per competitor (pricing, sentiment, risks) in well-structured paragraphs. Reports will export to CSV & PDF. Dependencies will be stable, bundled, and the software validated against a device ID, with GitHub repo access for your audit. MacOS support can be added as a bonus. I would be happy to work with you in future also. Let’s schedule a call and discuss this project in detail, and then I can start preparing a detailed estimation sheet for you. Regards, A Zain!

@efanntyo

Hi there Thanks for posting this exciting project. I checked your project carefully, I think I can complete your project within your needed timeline. I am super professional in Python, Web Scraping, Cartography & Maps, Geospatial, Google Maps API, Data Extraction, Competitor Analysis, Database Management, API Integration, AI Development Please ping , I am always online here Thanks Efanntyo -.

@leciffre69

Timeline: 14 days | Cost: €650 | Proven experience Hello . I’ve solved this exact problem before and can deliver a fully automated competitor data scraper with AI-powered analysis in 14 days. Based on my past experience, the real challenge is not collecting data, just avoiding bans and ensuring accurate cross-referencing between multiple platforms. In a previous project, we avoided IP blocks while integrating maps and delivery apps by combining API and controlled scraping, which ensured reliable results. To proceed, I only need your Google Maps API key, delivery app credentials, and confirmation of which OS you’ll prioritize for the .exe build. This is a straightforward project for me, and I’m confident in delivering a stable, audit-ready application with clear reports. Happy to go into more detail in the chat.

@andriik18

Hi, I am excited about the opportunity to develop your Google Maps Business Data Extraction Tool. My expertise in web scraping and API integration, combined with 7+ years of experience, positions me well to deliver an effective solution that meets your requirements and prevents account bans. I specialize in implementing robust data extraction techniques, ensuring seamless extraction of competitor information and integration with delivery apps. I will design a user-friendly UI with a settings panel that allows you to easily input Google Maps API keys and generate detailed AI-powered reports in both CSV and PDF formats. My approach ensures strong data validation and secure access to the GitHub repo for code reviews, ensuring transparency and quality before final delivery. Let’s discuss any additional requirements you may have and confirm the project timeline of 2 weeks. { clientQuestion} Best regards, Andrii

@krisk63

Hi there, I’m Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I’ve got the experience to get this done right. I’m available to start right away and happy to chat through the details whenever you’re ready. Looking forward to talking with you soon! Best, Kristopher Kramer