Web Scraper

@leelakalidas32

With my comprehensive skill set in Data Extraction, Data Mining, Data Processing, Excel, and especially Python Web Scraping, I know I am perfect for this project. My understanding of the importance of accuracy and efficiency aligns perfectly with your needs. I assure you that the data scraped will be nothing short of complete and accurate, with formatted phone numbers making up the centerpiece of the CSV file that you require.

@onkarkulkarni8

Hello, your "Web Scraper" project is right in my wheelhouse. I develop modern JavaScript apps end to end — React/Vue/Next on the front and Node/Express on the back, in TypeScript where it helps. Working with javascript, python, data processing, excel, web scraping, data mining, scrapy, data extraction, beautifulsoup, data management, I focus on responsive, fast UIs, clean component structure, and reliable APIs — no page-builder shortcuts. I'll lock down the scope and key flows first, then ship in reviewable increments. Can we hop on a quick chat to align on your requirements? ⭐ 5.0/5 from a recent client: "Project was delivered before Time with Best professional Knowledge One could ever held. Thanks for the support" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@nikhilroyjs

Hi there, I will build a robust, rate-limited Python web scraper using BeautifulSoup and Playwright/Selenium to extract complete, verified contact details for doctors, hospitals, and clinics across India. To handle dynamic content and anti-bot measures, I will implement asynchronous rendering, rotating user agents, and IP proxy pools, paired with automated Regex validation for fully formatted phone numbers. You will receive a clean CSV/Excel output (including business name, phone, address, and source URL), full modular source code, a clear README with execution instructions, and a sample dataset for early verification. Best regards, Nikhil

@shayankhan333

Scraping "all doctors and hospitals in India" from Google is a massive scope, and the real challenge isn't the code, it's avoiding IP bans at that volume. I'll use Scrapy with rotating proxies and randomized delays to stay under Google's radar, plus Selenium only where pages load content dynamically. For CAPTCHAs, I'll route through a CAPTCHA-solving service like 2Captcha as a fallback, though proper rate limiting and proxy rotation prevent most triggers in the first place. I'll deliver the Python source with a README, and a structured CSV with columns for name, phone, address, and source URL. One thing worth knowing: Google throttles heavily after a few hundred queries per IP, so realistic proxy infrastructure matters more than the scraper itself for this scale. Best regards, Shayan

@Mokshith30

Hello, Hope you're doing well. I've read your requirements regarding the automation/webscrapping with help of excel vba/python. Please go through my previous work as i have good experience in vba automation & python. Please ping me if you're interested to proceed with me and i can finish it in 1day.

@abhay686

Hi, I can collect verified details for doctors, hospitals, clinics, and medical facilities from Google and other relevant public sources, then deliver the results in a clean Excel or CSV file with business name, phone number, address, and the exact source URL for verification. I’ll use Python with controlled request rates, duplicate checks, phone-number validation, and error logging. For dynamic pages, I can use Selenium where required. CAPTCHA-protected pages will be handled through my CAPTCHA solver code. Let’s connect over the chat so that I can show you my previous work.

@ankits0192

Namaste. I am Ankit. Your scraping brief is clear. I would confirm target search patterns, preferred CSV columns, and how you want duplicates handled. Structured doctor and hospital data helps Indian healthcare businesses reach patients more reliably. I will use Python with BeautifulSoup or Scrapy, validate phone formats, log source URLs, and add rate limiting. One risk is CAPTCHAs on high volume Google queries. Let's discuss in more detail now.

@himanshubisht001

Hello, I can collect the required data from Google and other relevant public sources with a focus on accuracy and verification. The final delivery will include a clean CSV/Excel file containing the business name, phone number, address, and the exact source URL for each record. I will also provide the Python source code and a README for future use. I can share a small sample before starting the project. Regards, Himanshu Bisht

@ankitdavda2012

Hello, I can build a reliable data extraction solution to collect **doctors, hospitals, clinics, and medical facilities across India** and deliver the results in a clean CSV/Excel format. ✅ Business Name, Phone Number & Full Address ✅ Source URL for Every Record (Easy Verification) ✅ Clean, Duplicate-Free Dataset ✅ Python-Based Scraper with Source Code & README ✅ Handles Dynamic Pages with Appropriate Automation ✅ Rate Limiting & Retry Logic for Stable Extraction For CAPTCHA-protected pages, I avoid bypassing security mechanisms and instead use official directories, publicly available sources, or user-assisted authentication where appropriate. This ensures the scraper remains reliable and compliant. I can also provide a small sample first so you can verify the output format before the full run. With **7+ years of experience** in web scraping, automation, and data processing, I focus on accuracy, maintainable code, and structured datasets. I'm ready to discuss the expected record volume and timeline before we begin. Best Regards Ankit

@AzeemCodes7

As an expert in web scraping and data automation, I have no doubt that I am the best fit for your project. I am familiar with scraping techniques using BeautifulSoup, Scrapy, and Selenium, which gives me the flexibility to navigate through CAPTCHA or dynamically loaded pages efficiently. Also, my knowledge of Python is extensive and I can ensure that the scraper runs unattended yet respecting all rate limits effectively to prevent IP blocking. One of my key strengths is the reusability of my solutions. Designing a robust scraper that not only fits the current requirement but also adaptable for future needs is vital for long-term benefit. Therefore, I will provide you with clear source code along with its readme documentation for easy maintenance and re-running even with new URLs. Regarding budget constraints, I value your money and assure you 100% satisfaction through my high-quality work, delivered within a sensible turnaround time. My past experiences justify my competence - from building research-grade pipelines to automating reporting workflows - I have always met clients' requirements impeccably. Additionally, being IBM AI Developer & Python Automation certified and pursuing a CS degree shows my dedication to staying up-to-date with cutting-edge technology necessary for seamless data tasks. Let us harness the power of information together!

@ahmadraza001912

With over four years of experience as a full-stack software developer and app engineer, I have the technical acumen and versatility to deliver on your web scraping project. My expertise in JavaScript and Python aligns perfectly with your requirement for an unattended and efficient scrape. Python's most popular web scraping tools - Scrapy, BeautifulSoup and Selenium - are all within my wheelhouse. To ensure accuracy, I'll utilize clean architecture, write performance-optimized code, and focus on rate limits to avoid IP blocking discrepancies. Moreover, my experience with API integration will enable me to efficiently tackle CAPTCHAS and dynamically loaded pages. Further ensuring reusability, I'll provide you the source code (including a brief README) so you can either rerun the extraction or use it with new URLs. Given my background in database design and usage of robust tools such as Celery and RabbitMQ for background tasks, I'm also confident in my ability to deliver a well-structured, CSV file that lists the business name, phone number, address, and its respective URL. My commitment to quality means that you will receive 100% valid data. My bid of 600 INR is competitive within the market for fair compensation for quality work I will provide. Let's discuss the milestones and timelines further to get started!

@malaikaa49

Hi, I can collect accurate data for doctors, hospitals, clinics, and medical facilities across India and deliver it in a clean Excel/CSV file with business name, phone number, address, and the source URL for verification. I’ll use Python-based scraping and appropriate techniques for dynamic pages while maintaining data accuracy and providing reusable source code with a README. I’m comfortable working within your ₹600 budget and payment-on-completion terms. Best regards, Malaika Asad

@AdnanStaxivo

Hello, I can help you build a clean and reliable database of doctors, hospitals, clinics, and medical facilities across India. I understand that you need more than simple data collection — you need accurate, structured, and verifiable information that can be reused and analyzed. My approach: • Research data from relevant sources such as Google, medical directories, and official websites. • Extract business names, doctor details (where available), phone numbers, addresses, and source URLs. • Validate and format phone numbers to ensure the data is clean and usable. • Remove duplicates and organize the final dataset properly in CSV/Excel format. • Handle dynamically loaded pages and other scraping challenges using suitable tools. • Provide reusable scraping code with a clear README for future extraction. Why choose me: • Strong attention to detail and data accuracy. • Experience with web research, data collection, and structured datasets. • Focus on delivering verified information instead of raw scraped data. • Clear communication and regular progress updates. I can also provide a small sample dataset first so you can review the quality and accuracy before proceeding with the complete project. I am ready to discuss your required fields, preferred sources, and expected volume to plan the best approach. Looking forward to working with you. Best regards, Adnan

@nikitau26

For Google-sourced medical business data at this budget, I'd combine the Google Places API (structured phone/address, zero CAPTCHA risk) with a lightweight Playwright fallback for listings the API misses. Randomized delays and rotating pauses keep it under Google's rate-limit radar rather than trying to defeat CAPTCHAs outright — more reliable for reruns and won't get your IP blocked mid-scrape. 600 INR covers all of India's doctors/hospitals/clinics only as a first pass, not a complete dataset in one go — that's a huge national list. I'd deliver working code + a real sample (one state, e.g. Delhi NCR) within 24h so you can verify accuracy and formatting, then scale state by state from there. Source code + README included so you can rerun it yourself on new URLs anytime. Questions: is Delhi NCR OK as the first sample state, do you already have a Google Places API key or should I set up a free-tier one, and do you want clinics/labs/pharmacies included or doctors and hospitals only?