City-Based Healthcare Data Scraping

@abhisyc70

I've delivered 15+ scraping projects on Freelancer.com with a 5.0 rating. Your healthcare database needs stable, anti-ban scraping for Hospitals, Chemists, and Clinics. The real issue isn’t extraction, it’s accuracy, deduping, and keeping the scraper working as Google changes. I’ll build a reliable pipeline so your CSV is clean without manual cleanup. I’ll implement a Python or Node JS backend (Selenium/Puppeteer/requests/BS4 depending on stability) and target only the fields you need: name, full address with postcode, and contact details. Instead of a one-time script, I’ll set up a small React-based dashboard so you can watch progress per city and export final data. This gives transparency and reduces rework. We can also use the Google Maps API for cleaner, more structured place data if you prefer a compliant API-based approach. It increases accuracy for name, address, and geo-coordinates. Happy to discuss which approach (scraping vs API or hybrid) fits your data goals best. I hold a 6.4/10 earning rating with a 5.0 star score across 15 projects, backed by experience building enterprise systems at Boeing and a data-heavy PropTech platform over 5 years. I can start next week, deliver the full pipeline and first data run in 7–14 days, and just need your city list and facility criteria. Let’s align details.

@ganeshrasekar

I can do it

@AliGhazanfar2

Hi there, I have reviewed your requirements and believe that my expertise aligns perfectly with them. It seems like something we can easily accomplish Please check my profile to learn about my expertise: https://www.freelancer.com/u/AliGhazanfar2 Looking forward to the opportunity to work together. Regards Ali

@ShekharTyagi345

Hi Abhishek, with 9 years of experience, I am the best fit for this project. I have the relevant skills and expertise to deliver a clean, city-level database of healthcare providers sourced directly from Google results. How I will be completing this project: - Utilizing Python tools such as Scrapy, Selenium, BeautifulSoup for data extraction - Gathering information on Hospitals, Chemists/Pharmacies, and Clinics in specified cities - Ensuring accurate and complete data collection with spot checks for validation What tech stack I will be following: - Python with Scrapy, Selenium, BeautifulSoup - CSV or Excel for final data delivery - Adhering to public-data usage guidelines to maintain data integrity I have worked on similar solutions in the past, guaranteeing a high-quality outcome for this project. My 9 years of experience in the field make me the ideal candidate to meet your requirements. Looking forward to collaborating with you on this project.

@mattafareed4848

Hello I can build a clean, city-level healthcare provider database directly from Google results (Maps/Search) and deliver a fully de-duplicated CSV/Excel containing Hospitals, Pharmacies/Chemists, and Clinics for the cities you provide. I’ll extract facility name, full address with postcode, and primary contact details (phone/email when visible), using a Python-based workflow that safely automates public data collection while preserving accuracy. You’ll receive a tidy, consistent file ready for immediate use, and I’ll cross-verify entries to ensure completeness. I can start as soon as you share the target cities. Regards Muhammad

@namitajain118

Hi Abhishek, with 9 years of experience, I am the best fit for this project requiring a clean, city-level database of healthcare providers pulled directly from Google results. My experience of 9 years in the same field makes me highly suitable for this project. How I will be completing this project: - Utilizing Python tools such as Scrapy, Selenium, BeautifulSoup to extract information from Google results - Ensuring accuracy and completeness by spot-checking searches in each city - Delivering final data in a tidy CSV or Excel file with consistent column headers and no duplicate entries What tech stack I will be following: - Python tools like Scrapy, Selenium, BeautifulSoup for web scraping - CSV or Excel for data storage and delivery - Public-data usage guidelines compliance I have worked on similar solutions in the past, ensuring efficient and accurate data extraction. I am confident in my skills to deliver the results you are looking for. Thank you for considering my proposal.

@jojimathew571

Hello, Thanks for sharing the scope. To size this properly, could you confirm how many cities you’d like covered initially? That will help me estimate the total facility count and effort. I can deliver either : (a) a one‑time clean CSV/Excel dataset for those cities, or (b) a reusable Python tool that connects to the Google Places API with your key, so you can build the database on demand for any city and facility type. Both approaches ensure tidy headers, no duplicates, and accurate results aligned with your spot‑check criteria. I’ve quoted a placeholder value for now, but the final amount will depend once you confirm the scope, I’ll provide a precise quote aligned with your requirements. Best regards, Joji Mathew

@Naziaissa11

Hello, I will provide the city-specific healthcare data you need and make sure it is accurate. Thank you.

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for City-Based Healthcare Data Scraping. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@Bhartifreelancer

Hello, Greetings !!!!! I have gone through your project requirement of scrapping the data of City-Based Healthcare. I can certainly scrap data from the website. Data entry, Content Management, for Various eCommerce Platforms and Marketplace. I worked on many similar projects. I have worked on several similar projects with extract data and can deliver quality data to tight deadlines. Let's discuss further to get started with the project, awaiting your prompt response. Regards

@mobasherreza10

Hi there, Sounds like there could be a perfect fit here. After carefully reviewing your need to build a clean, city-level database of healthcare providers directly from Google, I am confident in my ability to deliver accurate, comprehensive data for Hospitals, Pharmacies, and Clinics across your specified regions. I know it can be really challenging (and time-consuming!) to manually compile hundreds of listings while ensuring each record includes verified names, full addresses, and contact details—and to do it without duplicates or errors. In fact, most of my clients in the healthcare and market research space tell me they simply don't have the technical resources to scrape, clean, and validate large datasets while respecting platform terms of service. With eight years of professional data extraction and Python automation experience, I have successfully built tons of targeted location-based databases. I will use a compliant combination of Google Maps API and Python (with Selenium/BeautifulSoup) to gather precise, up-to-date information. The data will be delivered in a clean, structured CSV/Excel file with consistent formatting, ready for your immediate use. I am excited about the opportunity to contribute to your project and deliver a reliable, actionable dataset. Please share your target cities, and I’ll begin the data collection process immediately. I look forward to the possibility of collaborating with you. Best regards, Mobasher Reza

@engrmalikshahid7

I will build a clean, city-level database of healthcare providers by systematically extracting publicly available information from Google Maps and Google Search. Using Python tools such as Selenium, BeautifulSoup, or other Google-compatible scraping methods, I will collect facility names, full street addresses (including postcodes), and primary contact details such as phone numbers and visible emails. The process will focus specifically on three facility types—Hospitals, Chemists/Pharmacies, and Clinics, across the cities or regions you provide, ensuring data relevance and accuracy. I will implement careful data cleaning, standardisation, and de-duplication to maintain a tidy dataset. The final dataset will be delivered as a CSV or Excel file with consistent column headers, structured for easy use and analysis. Throughout the process, I will follow public-data usage guidelines and ensure high accuracy by cross-checking sample entries with live Google results. This approach will prioritise completeness and reliability, giving you a verified and ready-to-use database of healthcare providers at the city level.

@nksharma420

I can collect publicly available provider details (hospitals, clinics, and pharmacies) for your specified cities using compliant web-search and mapping sources, then clean and unify the data into a duplicate-free CSV/Excel file. I’ll ensure each entry includes name, full address, and primary contact info, with accuracy verified through spot-checks.

@akshay05775

With 5 years of hands-on experience in Python, web scraping, Selenium, and data pipelines, I’ll deliver a clean, city-level healthcare provider database. I’ll extract Hospitals, Pharmacies/Chemists, and Clinics from public Google search/maps results for your chosen cities, capturing facility name, full street address (including postcode), and primary contact details (phone and email when visible). The final deliverable will be a tidy CSV or Excel file with consistent headers and deduplicated entries, plus a concise data dictionary. I’ll validate accuracy via spot-checks in each city to ensure completeness and reliability, and provide a production-ready dataset ready for ingestion into your systems.

@miljanzujic

Hi. I did a lot of data scraping in the past so I can assure you of my accuracy. I'm very detail-oriented. Let's talk about the deatails. Regards

@Akash7015

Hello, i read your requirement i have experience in Excel and done many projects. I give you best work on your time and budget .Thanks waiting for your response....

@craigd43

Hello, I can collect accurate healthcare facility data directly from Google results for the cities you will provide. I will focus on the three required categories hospitals pharmacies chemists and clinics and extract only the fields you need facility name full address with postcode and primary contact details. I will use reliable Python based tools that comply with public data usage such as Selenium or BeautifulSoup and will ensure the output is clean deduplicated and consistently formatted. The final delivery will be a tidy CSV or Excel file with uniform headers ready for immediate use. I guarantee high accuracy and will validate each dataset through manual spot checks before delivering. I can begin right away and can also handle ongoing data collection if needed. Let me know when you are ready to proceed.

@SashaDev1

Hi there, I’m excited about the opportunity to help you build a clean, city-level database of healthcare providers. I’ve successfully delivered similar web scraping projects where I extracted and organized structured data from Google Maps and Search, focusing on healthcare facilities. My approach ensures accurate, complete, and thoroughly deduplicated results in Excel or CSV formats. Using Python tools like Scrapy, BeautifulSoup, and Selenium, I’ll carefully gather facility names, addresses (with postcodes), and contact details for hospitals, clinics, and pharmacies—always adhering to public-data usage guidelines. You can count on a tidy, well-formatted spreadsheet that stands up to rigorous spot checks. Looking forward to working with you on this important project! Best regards, Oleksandr

@GrafoSoftware1

Hi Abhishek, with 8 years of experience in software development, I am the best fit to complete this project. I have the relevant skills to build a clean, city-level database of healthcare providers with information pulled directly from Google results. How I will be completing this project: - Utilizing Python tools such as Scrapy, Selenium, BeautifulSoup, or similar Google-compatible methods - Extracting data for Hospitals, Chemists/Pharmacies, and Clinics across specific cities or regions - Ensuring accuracy and completeness by spot-checking searches in each city What tech stack I will be following: - Python for web scraping - CSV or Excel for final data delivery - Data cleaning and validation techniques for consistent column headers and no duplicate entries I have worked on similar solutions in the past and have a proven track record in delivering high-quality results. I am confident in my ability to meet your requirements and exceed your expectations. Looking forward to the opportunity to work on this project with you.