Scrape Google Maps for Listings

@schoudhary1553

With over seven years of experience as a Full Stack Developer, specializing in Data Scraping and Automation, I am particularly skilled at scraping large amounts of data from various platforms like Google. My expertise includes knowledge of tools such as BeautifulSoup4, Selenium and Google Maps scraping libraries to ensure accurate and efficient data extraction. You can trust me to deliver clean, error-free data on time. My commitment to employer satisfaction sets me apart. I guarantee fast turnarounds without compromising on quality or accuracy. By working closely with Elite Services and Metlife GOSC in the past, I have developed a keen eye for detail; a skill that will ensure your final document is free of duplicates and well-formatted in an Excel workbook for your team's ease-of-use. Moreover, I'm prepared for any hurdles along the way - whether they be access limits from Google or handling proxies - rest assured your data gathering process will continue without interruption. As someone who respects my employer's time and finances, I promise to add value to your project and maintain clear communication throughout our journey together. Choose me today and let's scrape those listings professionally!

@justmian876

As the leader of a highly skilled team of web developers at BN-Droids Digital Services, I want to emphasize our deep proficiency in data scraping and handling large-scale datasets. To put this into perspective, we extract over 1 million data entries daily and maintain a database of more than 20 million retail data points. This experience, combined with my personal touch as a five-year expert in web scraping and Excel management, significantly complements your project requirements. Moreover, my technical skills—HTML5, CSS, JavaScript/jQuery, and PHP—underscore my ability to handle different scraping methods. Whether it's using Python with BeautifulSoup or Selenium or leveraging Google Maps scraping libraries, my goal is always speed and accuracy. I'm also adept at dealing with roadblocks such as access limits by employing proxies, delays or captcha bypasses so the sheet will be complete and conflict-free. Lastly, I value client satisfaction above all else. Given that you'll need to verify information against the live listings, you can rest assured that I won't be satisfied until you are. So why not choose me for this project? By doing so, you're guaranteeing not just efficient data extraction but also a harmonious partnership aimed at maximizing your sales team's potential.

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@muneeb6767

I can deliver a clean, duplicate-free Excel sheet of Mumbai, Navi Mumbai & Thane commercial real estate agencies with name, phone, type, address, rating & reviews—accurately structured and ready for outreach. I’ll extract, validate against live listings, normalize phone formats, and ensure zero encoding or structure issues for smooth filtering.

@larsenm2020

As someone who thrives on problem-solving and tackling complex tasks, your project for scraping Google Maps listings is right up my alley. My name is Larsen, and I specialize in data and web scraping with a particular affinity for Python and BeautifulSoup. I am well-versed in navigating through limitations imposed by platforms like Google and can deftly handle any access restrictions that may arise along the way, including proxies, delays, or captcha bypass requirements. Accuracy is a paramount concern for me, especially since this project necessitates fastidious attention to detail. As such, I have extensive experience ensuring that the data I scrape is clean, free from duplicates, and presented in a clear and easily sortable manner. I am also adept at capturing data cleanly without introducing errors while maintaining the integrity of each field. It's not just about scraping; it's about being diligent enough to provide accurate information consistently. Moreover, I'm excited about the tremendous potential value this project holds for your sales team. The clean dataset I will deliver will empower them to filter and sort the information effectively for precise outreach campaigns. In fact, to ensure your complete satisfaction, I propose delivering the final dataset only after you have had a chance to verify its accuracy by comparing it with randomly sampled live listings on Google. Let me show you how meticulous I can be with data collection!

@mdabu38

Your sales team will get a clean, duplicate-free, ready-to-use Excel of every commercial real estate agency in Mumbai, Navi Mumbai & Thane — verified against live Google Maps listings. I specialize in high-accuracy Maps data extraction with consistent phone formatting and zero noise. Ready to deliver fast — message me to start immediately.

@agupta2812

Hi there! Good day! I am interested in this project. I am proficient in Excel, Excel VBA, Macros, POWER BI, data scraping, web extraction. I can get fetch the required info. Please reach out to me to discuss further. Best!

@nareshk44

My diverse and extensive range of skills can be an incredible asset to your Google Maps scraping project, and here's why. As an expert in Data Cleansing, Scraping, and using Python with BeautifulSoup or Selenium, I've consistently demonstrated the ability to quickly obtain clean data with accuracy, aligning perfectly with your project's demands. These are exactly the skills you need to avoid Google's access limitations, handle proxies or delays smartly, and preemptively bypass captchas, ensuring that your data is always comprehensive and up-to-date. In terms of delivery format, my advanced grasp of Excel combined with my experience in creating well-organized reports and worksheets that facilitate easy data manipulation for analysis aligns seamlessly with your requirement for a single, well-formatted Excel workbook. Each column will be clearly labeled, data will be free of duplicates and in a consistent format—be it contact numbers or business types. Most importantly, my commitment to quality ensures that even after I have delivered your project's required deliverables—file opening, scanning random samples of rows—the quality control does not end. So if you find anything amiss or discrepancies in the information matching live listings, I'll immediately address them until you are fully satisfied. Entrust me with your project and rest assured you align your goals with someone committed to providing exceptional results. Let's get started!

@MGKHAN854

Hi, I already have a production-ready Google Maps scraper built with Selenium that extracts exactly the data points you’ve listed — and more. Come inbox for video proofs. For commercial real estate agencies across Mumbai, Navi Mumbai, and Thane, I can deliver a clean, accurate, and deduplicated Excel workbook containing: Name Phone Number (standardized format) Business Type Full Address Star Rating Number of Reviews Why I’m a strong fit: ✅ Ready-built Selenium-based Google Maps scraper ✅ Handles dynamic loading, scrolling, and pagination ✅ Built-in duplicate detection & data cleaning ✅ Structured Excel output with clearly labeled columns ✅ Consistent phone formatting ✅ Capability to manage rate limits using delays, rotation logic, and smart request pacing I understand that acceptance depends on verifying random rows against live Google listings — accuracy is my top priority. My scraper captures fields exactly as displayed and validates data before export. Since the tool is already built and tested, I can begin scraping immediately and deliver quickly. If needed, I can also include additional useful fields (website, hours, coordinates, etc.) at no extra cost. Ready to start right now. Best regards, Muhammad Ghani Khan

@Rashid8859

I can accurately extract all requested Google Maps data for commercial real estate agencies across Mumbai, Navi Mumbai, and Thane and deliver a clean, duplicate-free Excel file with consistent formatting. You can expect fast turnaround and precise results verified against live listings—ready for your sales team to filter and use immediately.

@Hemantt841

I understand you require an accurate and clean extraction of commercial real estate agency listings from Google Maps for Mumbai, Navi Mumbai, and Thane, capturing specific fields like name, phone number, business type, full address, star rating, and number of reviews. You need the data delivered in a well-organized Excel workbook, free of duplicates and formatted for easy filtering by your sales team. Handling access limits through proxies or captcha bypass is also essential to ensure completeness. With over 15 years of experience and more than 200 projects completed, I specialize in API integration and web scraping using Python and related tools. My background includes extensive data cleansing and Excel formatting to deliver precise, ready-to-use datasets tailored to client needs. I focus on accuracy and efficiency to support your outreach campaigns effectively. For this project, I will use Python combined with Selenium or Google Maps scraping libraries to gather the listings, implementing proxy rotation and delay management to avoid blocking. After scraping, I will clean and standardize phone numbers and remove duplicates before compiling everything into a clearly labeled Excel workbook. The estimated timeline for delivery is 5 to 7 days, allowing thorough validation against live data. Feel free to reach out so we can discuss the details and get started on this data extraction.

@MujeerPython

Hi, I have reviewed the job description and I'm ready to start immediately. I guarantee 100% quality based on similar tasks I have completed, and I can offer you a 10% discount for this project. Please contact me so we can discuss the job and begin working on it.

@Laharika26

I am a detail-oriented and hardworking data entry operator with good typing speed and accuracy. I have experience in MS Word, MS Excel, copy typing, PDF to Word conversion, and online data entry tasks. I ensure 100% accuracy, on-time submission, and clear communication with clients. I am dedicated, reliable, and ready to handle both small and large data entry projects efficiently.

@riteshbExcel

I am a specialist of data entry with an experience of five years. I have experience of proven data entry work, MS office, data programs and I am acquainted with administrative duties. Also, I have a high school diploma and certificate of computer training course-work.

@mhirforwork

Hi, This is a straightforward extraction task and the important part here is accuracy + clean structure, not just pulling raw listings. I can build a reliable scraper that collects: • Name • Phone number • Business type • Address • Rating • Review count The data will be delivered in a deduplicated, well-structured Excel sheet ready for filtering and outreach (consistent phone formatting included). To avoid blocks and incomplete results, I run controlled requests with rotation and validation checks so the final sheet matches live listings when sampled. Before starting, I will send a small sample from your exact location targets so you can confirm format and coverage. --- **Quick questions** 1. Approximately how many listings per area do you expect? 2. Should closed/permanently closed businesses be excluded? 3. Do you want coordinates (lat/long) included as well? --- I can start immediately and deliver progressively so you don’t wait for the full batch to verify quality.

@ETDataWorks

Hello! Yeah I can definitely handle this (see my profile portfolio where I scraped 6,500 Manchester based restaurants). I'm very thorough with this kind of work and you can trust me to produce accurate and reliable results. I can have this done for you within the next 1-2 days and I'm available to jump on this immediately. All the best. Alexander.

@bhargavis53

I am the ideal candidate for this project because I combine technical expertise with a strong focus on data accuracy and usability. I will extract all commercial real estate agencies operating in Mumbai, Navi Mumbai, and Thane directly from Google Maps using a reliable Python-based workflow (Selenium and BeautifulSoup) designed to handle dynamic content efficiently and accurately. My approach prioritizes clean, validated data — every listing will be checked for duplicates, formatted consistently (especially phone numbers), and reviewed to ensure that the Name, Phone Number, Business Type, Full Address, Star Rating, and Number of Reviews match exactly as displayed online. I also implement structured pacing and smart automation practices to manage access limits responsibly while maintaining completeness and precision. The final deliverable will be a single, well-organized Excel workbook with clearly labeled columns, free of errors, and ready for your sales team to filter and sort for outreach campaigns. Before submission, I will perform random spot-checks against live Google listings to ensure the information is accurate and reliable. My goal is to provide not just scraped data, but a polished, ready-to-use business asset that meets your expectations for both speed and quality.

@yashbagga5

Hello, I can deliver a clean, accurate, and fully deduplicated Excel workbook containing all commercial real estate agencies across Mumbai, Navi Mumbai, and Thane, extracted directly from Google Maps listings. I will use a structured and controlled data extraction approach to ensure: • Accurate capture of Name, Phone Number, Business Type, Full Address • Star Rating and Number of Reviews exactly as displayed • Removal of duplicates and inconsistent entries • Standardized phone number formatting • Clearly labeled columns in a filter-ready Excel file To maintain data integrity, I implement: • Rate-controlled scraping to avoid access issues • Data validation checks • Post-extraction cleansing • Random sample verification before delivery You will receive a well-structured Excel workbook that your sales team can immediately use for sorting, filtering, and outreach. I prioritize both speed and accuracy, and I’m confident I can complete this within the proposed timeline. Looking forward to working on this. Best regards, Yash

@donk338

Hi, I can deliver this today. I have a working Google Maps scraper built in Python that handles proxies and CAPTCHAs — your exact use case. What you'll get: • All commercial real estate agencies across Mumbai, Navi Mumbai & Thane • Fields: Name, Phone, Business Type, Full Address, Star Rating, Review Count • Clean Excel file — no duplicates, phone numbers normalized to a consistent format • Delivered within 24 hours My scraper pulls directly from Google Maps search results and handles the anti-bot measures automatically. I've run it across similar dense urban markets and typically yield 500–2,000+ listings per city depending on category density. I'll run three separate passes (one per area), merge and deduplicate, then format the output exactly as you've described. One question before I start: Do you want only agencies with a listed phone number, or include all results even if the phone field is empty? Happy to share a sample of 10–20 rows from a test run before you confirm the order. Let me know.