Google Maps Data Extraction for NZ

@a4logic

Hello, Being a devoted web service provider, my team and I are equipped to tackle your project with utmost precision and proficiency. Our PHP skills and JavaScript expertise will aptly serve your data extraction needs from Google Maps pertaining to New Zealand businesses. Not only can we deliver the required parameters of business name, phone numbers, physical addresses, and regions, but we can also ensure that the end results are editable, exportable and easily updatable as you've specified. We've been in the industry for a significant period and have imbibed the know-how to handle projects of all magnitudes. We believe quality in 'work' is just as important as 'customer service'. That's why we pay due diligence to both these aspects. With us on your side, you can be assured of precise outputs while enjoying a hassle-free experience. Remember, no project is too large or small for us. We appreciate the opportunities each project brings to build trust and helpful relationships. Let's turn your dreams into reality using current technologies, making this data extraction task not only comprehensive but cost-effective as well. Feel free to reach out with any queries or further needs; I am eager to assist in building your success story in New Zealand. Thanks!

@imraz2016

HI there already i have checked project details i am able to scrap all information from google maps so please contact me, thank you

@kamran2012

Hello, I will build a Python-based scraper that extracts business name, phone number, physical address, and region for all NZ-listed businesses on Google Maps — outputting to CSV/Excel with a re-run script for regular updates. For full NZ coverage, I will partition queries by region and category to bypass Google Maps' result cap of ~120 per search — ensuring no listings are missed across smaller towns. Questions: 1) Which business categories do you need — all, or a specific set? 2) How often do you plan to re-run updates? Looking forward to talking through the details. Kamran

@diektech

Hi - Elias here from Miami. The challenge with extracting data from Google Maps involves not just accessing the data, but ensuring that it is done efficiently and ethically, considering Google's terms of service. Web scraping can lead to IP bans if not managed properly, and the structure of Google Maps data can change frequently, impacting the reliability of your solution. What matters most is developing a robust crawler that can handle these nuances while maintaining scalability. This includes managing state effectively across multiple requests and implementing caching strategies to minimize load on both your infrastructure and Google’s servers. Common pitfalls include not handling rate limits, which can lead to incomplete data sets, and poor error handling, resulting in data loss. The hardest part will likely be setting up a resilient architecture that can adapt to changes in data structure while ensuring compliance with API usage policies. A potential implementation flow could be: Input (business categories, locations) → Processing (data extraction, validation, storage) → Output (structured data in your desired format). What is your expected data refresh rate, and how critical is real-time access for your application? I look forward to discussing how we can ensure a reliable and effective extraction process for your needs.

@rizwange4

Hi, I can help you build a robust data extraction solution for business listings in New Zealand with a clean, structured, and reusable output format. ✔ Custom web crawler / scraper development ✔ Structured extraction of business name, phone, address, and region ✔ Export to CSV / Excel / JSON formats ✔ Scheduled or repeatable updates for ongoing data refresh ✔ Clean database structure for future filtering and editing I would design this in a scalable way so you can easily rerun updates and manage the dataset over time while keeping it organized and export-ready. I can also advise on the most stable and compliant approach depending on your hosting environment and data usage needs. Best regards, M. Rizwan LA

@livegoodlife

Hello there, 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

@SBITServices

Hi, I will develop a custom web crawler to extract business data from Google Maps for New Zealand. The crawler will capture business names, phone numbers, addresses, and regions. The extracted data will be editable, exportable, and easily updatable. Let's discuss further. Regards, Sai Bhaskar

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Web Crawler for Google Maps Business Data Extraction ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a web crawler to extract business data from Google Maps in New Zealand. You have no need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects focused on data extraction. I will build a reliable crawler that captures business names, phone numbers, physical addresses, and regions. The end result will be editable, exportable to common formats, and easy to update regularly. ➡️ Why Me? I can easily develop your web crawler as I have 5 years of experience in web scraping, data extraction, and automation. My expertise includes Python, data management, and API integration. Additionally, I have a strong grip on web technologies and data formats, ensuring a smooth process for your project. ➡️ Let's have a quick chat to discuss your project in detail. I would love to share samples of my previous work and show you how I can meet your needs effectively. Looking forward to our conversation! ➡️ Skills & Experience: ✅ Web Scraping ✅ Python Programming ✅ Data Extraction ✅ API Integration ✅ Data Management ✅ Automation ✅ Data Exporting ✅ Error Handling ✅ Regular Updates ✅ Database Management ✅ HTML Parsing ✅ Project Management Waiting for your response! Best Regards, Zohaib

@Herculesz

Hi I have experience building data extraction and lead database workflows using Python, Playwright/Selenium, Scrapy, APIs, proxy handling, data cleaning, deduplication, and export pipelines. The main technical challenge here is collecting Google Maps business data at New Zealand scale while keeping the process reliable, structured, repeatable, and compliant with platform limits. I can build a crawler-style workflow that searches by region/category, captures business name, phone number, physical address, and region, then normalizes the data into a clean editable database. To make the output useful, I can include duplicate detection, missing-field checks, region mapping, and exports to CSV, Excel, or Google Sheets. For regular updates, I can design the system so it can re-run by region, compare new results against existing records, and update changed phone numbers or addresses without overwriting clean data incorrectly. If direct crawling becomes restricted, I can also recommend a safer Google Places API-based approach depending on your required volume and budget. The final setup can include a simple admin interface or spreadsheet-based workflow so you can review, edit, filter, and export the records easily. My focus will be a maintainable data collection system that produces accurate business records instead of a one-time messy scrape. Thanks, Hercules

@teodorgeorge

Hello, I can build a reliable crawler/data extraction workflow for Google Maps business listings across New Zealand, capturing business name, phone number, physical address, and region in a clean structure. I have experience with Python/PHP/JavaScript scraping, APIs, and data management, and I can make the result easy to edit, export to common formats, and update regularly without making the process complicated. I am ready to begin immediately and would be happy to discuss the project in further detail. Thanks, Teo

@asifdwan

I can develop a scalable Google Maps data crawler for New Zealand businesses that captures business name, phone number, physical address, and region, then exports the results into clean CSV/XLSX formats. The solution will support regular updates, deduplication, filtering, and structured output so the dataset remains easy to maintain and reuse over time.

@intelliresponse

Hi, I understand you need a regularly updatable business-data extraction system for Google Maps businesses across New Zealand, capturing business name, phone number, physical address, and region in an editable/exportable format. ✅ I have experience building data extraction tools, business directory crawlers, Google Places/API-based data collection workflows, deduplication logic, regional filtering, scheduled updates, and CSV/Excel/Google Sheet exports. For reliability and compliance, I recommend using the Google Places API or approved data sources instead of fragile scraping, so the data stays accurate and easier to refresh regularly. ✅ Deliverables can include a working crawler/API-based tool, editable dashboard or spreadsheet output, export to CSV/XLSX, region-based organization, update instructions, and clean documentation.

@Shariqblue

With over 7 years of experience developing scalable web apps and utilizing modern technologies such as C++, PHP, and Python, I am ideally suited for this task. Having delivered numerous similar projects including web scraping and automation systems in my career, I am confident in my ability to fulfill your requirements effectively and efficiently. My expertise in languages such as Python and PHP align perfectly with this project's needs. With proven success in extracting data from various platforms including Google Maps, I can ensure high-quality results that are easily exportable and editable, meeting your need to keep the information updated on a regular basis. Working with REST APIs and SQL/MySQL Databases will support the provision of compatible formats. I am dedicated, detail-oriented, and committed to providing a smooth user experience. My experience extends beyond just completing projects but using technology innovatively to maximize efficiency. Evidently, choosing me for this project ensures not only timely delivery but quality, reliable data extraction solutions for your Google Maps venture in New Zealand.

@ShaikhAneesa

Hi there, I understand you need a scalable web crawler or data extraction system to collect business listings from Google Maps across all of New Zealand, capturing key fields such as business name, phone number, physical address, and region, with an output that is clean, editable, exportable, and easy to refresh on a regular basis. My approach would be to design a structured data extraction pipeline using approved Google Maps APIs or compliant scraping methods where appropriate, ensuring stability and long-term maintainability. The system would query business categories and geographic regions systematically across New Zealand, normalize the results, and extract consistent fields including name, phone, address, coordinates, and region tagging. Next, I would implement a deduplication and validation layer to remove repeated entries and ensure phone numbers and addresses are properly formatted and consistent. The processed data would then be stored in a structured database with export functionality to Excel, CSV, or API-based access depending on your preference. To ensure ongoing usability, I would build a scheduled update mechanism so the dataset can be refreshed incrementally without reprocessing everything from scratch. Do you prefer this to be built around the official Google Maps API only, or are you open to a hybrid approach for broader coverage and enrichment? I’m ready to start immediately. Warm regards, Aneesa

@dissanayakepvt

Hello, GISPromo IT Solutions is ready to assist with your Google Maps data extraction needs for New Zealand. We specialize in developing efficient web crawlers using PHP, JavaScript, and Python to extract business data such as names, phone numbers, addresses, and regions. Our solution will ensure: • Exportable and editable data formats for easy updates. • Regular updates to keep your database current. Leveraging Google Maps API and our expertise in data management, we’ll deliver a robust, user-friendly solution within your budget. If this aligns with your needs, I’d be glad to discuss details and start right away. Best regards, Sujeewa, GISPromo IT Solutions

@topcreator100

Hi there, I’ve read your Google Maps data extraction project for New Zealand and I’m confident I can deliver a robust crawler to capture business name, phone, address and region. I plan to use a Python and JavaScript stack with careful API usage, a clean data model, and a simple editable export format so you can update and reuse the data easily. I’m interested in this project, and I have several experiences with similar data extraction and data management tasks that align with your needs. I will deliver a reusable workflow, followed by a short user-facing interface to export to common formats and a schedule for regular updates; please share your preferred next step: Best regards,

@utrathore3

With a robust suite of skills in data extraction, management, and web scraping primarily geared towards Python, I have the capabilities you need to ace this project. My name is Usman and I represent Work-Nix Solutions - a team that specializes in devising transformative business solutions designed to drive your growth and extract maximum value from your data sources - precisely like Google Maps! What sets us apart? Our expertise in both Excel/Google Sheets Mastery and PDF & Document Solutions enable us to fully optimize the extracted data for you. We can deliver the end product tailored to your preference that is easily editable, exportable to common formats, and with the flexibility for regular updates. Our dedication towards innovation, precision and most importantly delivering measurable results resonates well with your project's objectives. Let us streamline your operations, enhance your data analysis, or fine-tune your business strategies with our comprehensive skill set delivering exactly what you're looking for at every step; accuracy, reliability and efficiency! Let's kick-start transforming your venture journey together!

@sushmasain140989

Hello,I reviewed your requirements and can develop a custom web crawler to extract business information from Google Maps across New Zealand. The crawler will collect business names, phone numbers, physical addresses, and regional details, then organize the data into editable and exportable formats such as CSV or Excel. The system will be built for long-term use, making future updates and data refreshes simple and efficient. I will also include proper data structuring, duplicate handling, and testing to ensure clean and reliable output. The complete solution, including setup and export configuration, can be delivered within 5 days for a total project cost of $250. Thanks and regards, Sush

@Hubready

Hello! This is James from Hollywood. I’ve carefully reviewed your project on Google Maps data extraction and I’m excited about the opportunity to help you with this web crawler. With 15 years of experience in PHP, JavaScript, Python, and web scraping, I’m confident that I can deliver a solid solution to extract the data you need efficiently. To ensure I fully understand your requirements, could you please clarify the following questions? 1. What specific business data are you looking to extract from Google Maps? 2. Are there any particular data formats or storage solutions you prefer for the extracted information? My approach would involve breaking down the project into phases: first, I’ll gather your exact requirements, then design the crawler, followed by testing and deployment. I’ve worked on similar projects where I’ve implemented data extraction tools that seamlessly integrate with existing systems, and I always prioritize clean, maintainable code. I believe my attention to detail and commitment to understanding your unique needs set me apart from others. Let’s get this project rolling and make it a success together! I’m looking forward to your response.