Google Maps Data Extraction -- 2

@Vasilchenko

Hello. I can propose this price for 1904 firm's data extraction. Hi, I can take your Google Takeout JSON/CSV and build a clean one-row-per-location Excel/CSV with business name, full address, and primary phone by matching entries to official identifiers (place_id where available) and enriching via compliant sources like the Google Places API with proper rate limiting and deduping rules. I’ll deliver the final file Excel-2016-safe plus a reusable Python script and a short “how it was done” note, and I’ll flag any records where a phone number isn’t publicly available so you can review gaps. https://www.freelancer.com/u/Vasilchenko

@larsenm2020

Being an ardent learner and a problem solver, I am well-versed in data extraction techniques like using Python, Scrapy, Selenium, and Web Scraping tools. These skills are crucial for your project as they guarantee the accuracy, rate-limiting and duplicate handling you mentioned that matter most to you. Having extensively used Google Maps API and taken projects from simple to complex, I can confidently assure you that I will deliver results exceeding your defined acceptance criteria. When it comes to handling large-scale data extraction projects like yours, my experience is invaluable. In the past, I have successfully completed similar tasks where client satisfaction hinges on the completion of all four core data fields with minimum errors and duplicates. I strictly follow established coding practices and adhere to professional guidelines, ensuring a clean run without any blocks or interruptions. Finally, I understand the significance of easy accessibility and sharable results. Hence, providing a brief "how it was done" note or a reusable script as part of the final deliverables won't be an issue for me. If capturing reviews/ratings effortlessly adds value to your project, be assured I will integrate them in a well-structured format. Your project reflects a true national snapshot; so let me assure you - my commitment reflects on every job I undertake no matter its size or complexity. Together we can collect and structure rich data at an unprecedented scale!

@jovand30

Hi there. I can extract business name, full address, and primary phone number from your Google Takeout JSON and CSV files and deliver a clean, deduplicated Excel/CSV dataset ready for analysis. I will use a reliable Python-based workflow to parse the Takeout data, enrich missing phone numbers where possible, and ensure each row represents a unique business location. The process will include duplicate detection, structured validation, and completeness checks to meet your 95%+ coverage requirement. I will also provide a reusable script and a short explanation so you can refresh or extend the dataset in the future without starting from scratch. Deliverables will include the final Excel/CSV file, a deduplicated dataset with clearly labeled columns, and the extraction script with usage instructions. I can begin as soon as you share the Takeout files. Best Regards.

@ghulam727

Hi, I have carefully read your project details and I am confident that I can complete this task professionally and within the given deadline. I always focus on quality, accuracy, and clear communication. My goal is to provide reliable work and build long-term working relationships with clients. I am ready to start immediately and can follow all your instructions carefully. Please feel free to message me so we can discuss the project further. Best regards, Ghulam Mujtaba

@musharafhabib6

Hello, I can extract business name, full address, and primary phone number from your Google Takeout JSON/CSV files with high accuracy and proper duplicate handling. What I’ll Deliver: Clean CSV/Excel file (1 row per location) Columns clearly labeled: Business Name Full Street Address (City, State, ZIP) Primary Phone Number ≥95% completeness across required fields Proper duplicate removal (matching name + phone + address) Excel 2016+ compatible format Reusable Python script + short documentation explaining the process Method: Python-based automated extraction (JSON/CSV parsing) Structured validation of phone numbers and addresses Intelligent deduplication logic Built-in rate limiting & safe handling if additional scraping is required Optional enrichment (ratings/reviews) if easily available Accuracy and clean output are my priority over just raw scraping volume. If you share a sample file, I can review structure and confirm turnaround time immediately. Best regards, Musharaf Habib

@sanapalar

Fast and accurate typing professional Reliable typist with strong attention to detail Skilled in fast and error-free typing Detail-oriented copy typing specialist Accurate and efficient typing expert Dedicated typist delivering quality work Speedy and precise data entry typist

@saniyas053

Hi, I can extract business name, address and phone numbers accurately from the provided Google Maps data files. ✔ Python-based data extraction ✔ Clean CSV/Excel output ✔ Duplicate handling and accurate formatting ✔ Easy-to-understand reusable script I will ensure the data is structured properly and meets your required accuracy. Please share the files so I can start immediately. Thanks.

@MrAnindya

I have gone through your project requirements carefully and understood that you require extraction of business name, complete address including city/state/ZIP, and primary phone number from the Google Takeout JSON/CSV files, for all states and territories, with high levels of duplicate removal and at least 95% field completion. I am Anindya, a developer who frequently uses Python for data extraction and automation tasks. I have experience with JSON parsing, CSV handling, and data cleaning. So, data organization in a structured format and duplicate removal are not areas I am unfamiliar with. I would prefer accuracy and proper formatting over meeting the deadline. I will use Python to process the files, check the fields, remove obvious duplicates (those with the same name, phone number, and address), and provide a clean Excel/CSV file that can be properly opened in Excel 2016+. I will also write a brief description of how it was accomplished and supply you with a script that you can use to redo the work if required at a later date. I can do this for ₹600 INR. Let me know if you want to proceed.

@Raosahab007

Hello, Yes, I can complete this project and provide a clean national dataset with business name, full address, and primary phone number for each location. Google Takeout files usually include the business name, address, and Maps link but not the phone number. My approach is to read your JSON/CSV files, extract all saved locations, and then automatically retrieve the missing contact details from the live business listings. First, I will parse the Takeout files and collect all business URLs and location data. Then I will use an automated lookup process (API-based where possible, otherwise controlled browser automation) to open each listing and capture the primary phone number and verify the full address. I prioritise official listing data to maximise accuracy and reduce captcha issues. After collection, I will run automatic duplicate checks using name, phone, and address matching and validate the dataset so at least 95% of rows contain the required fields. You will receive a clean Excel/CSV file with one row per location, clearly labelled columns, duplicate-checked data, plus a short workflow note and reusable script for future updates. I am ready to start once you share the files. Best regards, Parvesh Yadav

@dishaprashar

Proposal: Google Maps Data Extraction & Phone Number Enrichment Hi, I can help you extract and structure the required data accurately from your provided Google Takeout JSON and CSV files. I have experience working with Python-based data extraction and automation, and I will ensure: * Extraction of Business Name * Full Address (including city, state, ZIP) * Primary Phone Number * One clean row per unique location * Removal of duplicates (based on name + phone + address) * Well-labeled Excel/CSV file compatible with Excel 2016+ * At least 95% completeness as per your acceptance criteria My Approach * Parse the provided JSON and CSV files using Python. * If phone numbers are missing, enrich data via: * Google Maps API (if allowed) * Structured scraping with rate-limiting & duplicate handling * Implement clean validation logic to ensure no duplicate entries. * Include a short documentation note explaining the extraction method and provide a reusable script so you can refresh the dataset later. Accuracy and clean output matter more than speed and I prioritize data quality. I can complete this within your budget range and deliver promptly. Looking forward to working with you. Best regards, Disha Prashar

@SivaJaddu99

Hi, I’ve already worked on similar Google Maps data extraction tasks and have successfully scraped business names, full addresses, and phone numbers exactly as required and in the correct format. I ensure the data is clean, properly structured (one row per location), and free from duplicates. I have strong experience in web scraping (including large-scale projects with 1M+ records), so accuracy and formatting will be handled carefully. I can deliver a clean Excel/CSV file ready to use and also share the script for future refresh. Happy to start immediately.

@kannant432

Hello, I can extract all required business details from your Google Maps Takeout JSON/CSV with high accuracy. Business name Full address (city, state, ZIP) Primary phone number Clean Excel/CSV output Duplicate removal included Reusable Python script + brief documentation I focus on accuracy and clean delivery. I can also share a quick sample before starting. Ready to start immediately. Regards, Kannan