Google Local Maps Data Scraper

@livegoodlife

Hello there, I allready have an windows desktop application to scrap data from map. I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@asifdwan

I can develop a Windows-compatible Python utility that retrieves business details, ratings, reviews, opening hours, and closure status from Google Places/Maps APIs and exports the results into a structured Excel workbook. The solution will include configurable search terms or place IDs, external API key management, logging, rate-limit handling, and Task Scheduler-friendly automation for daily runs. You'll receive fully commented source code, sample output files, and clear setup documentation so the process can run reliably without manual intervention.

@mascotindia123

Hello, I have read your requirement for a Windows-compatible Python utility that extracts Google Local Maps business data, reviews, ratings, opening hours, and closure status, then exports the results into a structured Excel workbook with scheduling and logging support. With 14 years of experience in Python development, data extraction, API integrations, automation, and Excel reporting, I can build a reliable solution using the Google Places/Maps API (or an approved alternative approach if required). The script will include clean, well-commented code, external configuration management, rate-limit handling, logging, Excel export, and Task Scheduler compatibility for fully automated daily execution. I will also provide a sample output workbook, setup documentation, and a clear README covering installation, configuration, and scheduling steps. You can check my profile for my experience, completed automation projects, and client feedback. Warm Regards, Harpreet Singh

@muneeb6767

I can build a Windows-compatible Python utility that pulls Google Maps/Places data, reviews, ratings, business details, and opening hours, then exports everything into a clean Excel workbook with logging, rate-limit handling, config-based API keys, and Task Scheduler support for fully automated daily runs. The delivery will include documented source code, sample outputs, setup instructions, and a reliable workflow designed for long-term unattended execution.

@shakilan4

Hi, I can develop a Windows-compatible Python utility that pulls Google Maps/Places data, reviews, ratings, business details, and opening hours, then exports everything into a structured Excel workbook. The solution will include configurable API settings, rate-limit handling, Task Scheduler support, logging, sample output, and clear setup documentation for reliable daily automation. Best regards, Shakila Naz

@zain184

Hi there, I can make you the script you are looking for. Let's have chat and discuss further details. Regards Zain

@growwithgdp

✅ I can develop a Windows-compatible Python utility that retrieves Google Maps business data using the official Google Places API, processes search terms or place IDs, handles pagination and rate limits, and exports the results into a structured Excel workbook with separate sheets and clean formatting. ✅ The solution will capture business details, ratings, reviews, opening hours, operational status, and error logs while supporting external configuration files, command-line parameters, append/overwrite modes, and seamless execution through Windows Task Scheduler. ✅ Delivery includes fully commented Python source code, sample Excel output, configuration templates, setup documentation, dependency list, scheduling instructions, and robust logging to ensure reliable unattended daily data collection and reporting.

@mdabu38

Hi, This is exactly the kind of automation project I work on. I can build a lightweight Python utility that pulls fresh Google Maps/Places data each day, extracts business details, ratings, reviews, opening hours, and closure information, then exports everything into a clean Excel workbook that's ready to use immediately. The script will support both keyword searches and Place IDs, keep the API key in a separate config file, handle rate limits and quota errors gracefully, and include logging for easy monitoring. I'll also add Task Scheduler–friendly command-line options so it can run automatically every day without manual intervention. You'll receive fully commented Python code, a sample Excel file showing the expected output structure, and a simple setup guide covering installation, configuration, and scheduling on Windows 8/10/11. I focus on delivering reliable, maintainable scripts that continue running smoothly day after day. I'd be happy to get started.

@jeffleads

Hello! I see you need a Python utility to automatically pull fresh Google Maps business data (ratings, reviews, hours) into Excel—without manual intervention. I’ve built similar Google Maps scraping pipelines before. I can deliver a robust script using the official googlemaps Python client , which gracefully handles API rate limits and retries . To ensure we capture detailed reviews and "temporarily closed" status, I’ll combine Place Search and Place Details endpoints. Your script will include Task Scheduler-compatible date stamps and an append/overwrite switch. Here’s my approach: Config file for API key + search terms Rate-limited fetch loop with error logging Pandas/Openpyxl to write clean multi-sheet Excel workbooks Can you confirm if your free Google API key includes Places API access? Let’s chat further. Best regards, Jeff Chong

@craigd43

With my expertise in data scraping, utilizing tools such as Google App Engine and Google Maps API, I am confident that I can develop a robust Python utility that satisfies all your project requirements. My proficiency extends to extracting and organizing large volumes of data into well-structured Excel workbooks, which aligns perfectly with your need for a single, easy-to-read output. I not only possess the necessary technical acumen with Python, but also a deep understanding of how to best leverage the Google Maps API for fruitful results— maximizing this service while avoiding rate limits is an art I've mastered. Being well-versed in Windows systems (8/10/11), I am equipped to ensure smooth compatibility with your specific operating environment. When you work with me, you have the assurance of receiving highly-documented code that won't just run seamlessly on your machine, but be effortlessly repeatable. To make it even easier for you, I will provide a detailed README encompassing vital setup instructions and utilizing Task Scheduling for automated daily runs— transforming manual job into a hands-off process. I am committed to going above and beyond to deliver exceptional quality within stipulated deadlines and ensure you receive exactly what you're after—a top-notch data harvesting solution tailor-made for your requirements.— Craig

@ayesha86664

Hi there! Your Python utility needs reliable Google Maps data extraction, but most scripts fail due to API quota handling, inconsistent place fields and broken daily automation. If this is not structured properly, you will get incomplete or unreliable Excel outputs. I have built Python automation tools using Google Places API, pandas and openpyxl for structured data extraction and reporting. I also work on Windows compatible scripts with scheduled execution, logging systems and clean configuration handling. I have experience building data pipelines that handle rate limits and keep outputs stable over repeated runs. I will create a clean Python script that pulls Google Places data using the official API with external config key setup. I will structure Excel output with proper sheets, formatting and consistent columns for easy use. I will add error handling, quota logging and scheduling friendly parameters for Task Scheduler. I will ensure the script runs reliably every day without manual intervention. check our work https://www.freelancer.com/u/ayesha86664 Do you want the script to support multiple API keys rotation to avoid quota limits? I am ready to start - just say the word. Best Regards, Ayesha

@cuyodigital

I looked at your Google Maps data scraper requirement. You need a Python script fetching business name, address, rating, individual reviews with text/stars/author/date, opening hours, and writing to Excel with one sheet per search term. I have 6+ years in Python and Google Places API and over 20 data scraping projects delivered. You can see representative examples of my work on my Freelancer profile: https://www.freelancer.com/u/cuyodigital. Deliverables: commented Python script with googlemaps and pandas, sample Excel output, README with pip installs and Task Scheduler setup. Price is 50 USD for 1 work day. Duration is 1 day. Two questions from the board: Will you provide search terms only, place IDs only, or a mix of both? Do you need all available reviews or only the latest ones from the Places API? Let me know your answers. I can start right away. PS. Have question on the project and I would like you to check the clarification board ricardo

@buildwithme101

✨Hi — Dennis here✨ I understand you need a Windows-friendly Python utility that pulls fresh Google Places/Maps data daily and exports business details, ratings, reviews, and opening hours into a clean Excel workbook. I have experience with Python, Google Places API, Excel automation, pandas, openpyxl, config files, logging, quota handling, and Windows Task Scheduler setup. One quick question: Q – Will you provide search terms, place IDs, or both? I can build the script with an external API key config, daily overwrite/append options, one Excel sheet per search term, quota/API error logging, sample output, and a README covering setup, pip installs, and Task Scheduler configuration. Dennis W.

@SidUSA

Hi, We are available to take this on and get your Python utility working perfectly. The main issue with automated data collection is usually handling rate limits and maintaining stable connections to the Google Places API for daily execution. Are you planning to use the Google Cloud client libraries for structured data parsing, and do you want the final output to follow a specific column ordering in the Excel workbook for your internal tracking? We recently built a similar automated data extraction tool for a logistics firm that needed to pull recurring location-based metadata. We used Python with the googlemaps and pandas libraries to hook into the API and built a robust logging system that validated inputs before using openpyxl to generate the formatted Excel reports. We corrected their data handling structure to ensure that rate limits were managed efficiently across daily scheduled runs. Our solution prevented data gaps during sync and made the whole reporting process way faster for their team. We are eager to discuss the project further. Reach out to initiate a conversation! Best regards, Quantum Code Solutions

@jvy7802

Hi, This is Jorge from IT GLOBAL SOLUTION LLC, based in the U.S. I can help build a small Windows-friendly Python utility that pulls fresh Google Local/Maps place data using the official Google Places/Maps API where available, then exports the results into a clean Excel workbook ready to open and review without extra processing. My approach would be to structure the script around a simple config file for the API key, search terms, place IDs, output path, and run mode such as overwrite or append. The script would fetch business name, full address, rating, reviews, opening hours, status details, and available closure information, then organize the results into a well-formatted Excel file with separate sheets per search term or another structure you prefer. I’d include proper rate-limit handling, retry logic, quota/error logging, date-stamped outputs, and Task Scheduler-friendly command-line parameters so the job can run daily without manual work. I’d also keep the code commented and provide a short README covering setup, required pip installs, config file format, and daily scheduling steps. I have experience with Python automation, API integrations, Google Maps/Places data workflows, Excel generation with pandas/openpyxl, web scraping, logging, and Windows-based scheduled scripts. I’d focus on making the utility reliable, easy to run, and simple to maintain. Let’s connect and go over the search terms and output structure. Best, Jorge

@codeandcommand

For a Google Maps scraper, I would use the Maps API to pull location data on a set schedule and push results to Excel automatically. Pure Python, no extra setup beyond pip, runs clean on Windows. I can start today and have a working version ready in 48 hours. The bid reflects what is in the description. Once we talk through which fields you need and how often it should run, I will confirm the final number. Want to jump on a quick call?

@rafaels170

Hello! I’d love to help you build a reliable, Windows-ready Python utility that fetches Google Places data daily and outputs it cleanly into Excel. I can structure the script to handle both search-term and place-ID modes, pull business info, ratings, reviews, and opening hours, respect API rate limits, and log errors. The Excel output will be well-formatted, one sheet per search term, with optional overwrite or append for daily runs. I’ll provide fully commented code, a sample Excel file, and a concise README covering setup, pip dependencies, API key configuration, and Task Scheduler integration. My approach ensures stable, unattended daily execution, and I’m confident this tool will meet your needs precisely. I’m excited to work together and deliver a solution that runs seamlessly on your system.

@joaov210

Hi, I can build this small Windows-friendly Python utility to pull Google Local/Maps data and export it into a clean Excel workbook. I have experience with Python automation, Google Maps/Places API, data extraction, Excel reporting, logging, and scheduled scripts for Windows Task Scheduler. I can deliver: • Python script using the official Google Places/Maps API where available • External config file for API key, search terms, place IDs, output mode, and date settings • Extraction of business name, address, rating, reviews, opening hours, and business status • Excel output with one sheet per search term or structured tabs as needed • Append/overwrite option for daily runs • Rate-limit handling and quota/error logging • Windows-compatible setup for Windows 8/10/11 • README with pip installs and Task Scheduler instructions • Sample Excel file showing final column structure I’ll keep the code clean, commented, and easy to adjust later. The script will be designed to run repeatedly without manual work, generate dated outputs, and log issues clearly if Google API limits or missing fields occur. I can complete this as a focused utility and test it with sample search terms before handoff.